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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
| ! | Logical Operators (base) |
| != | Relational Operators (base) |
| $ | Extract or Replace Parts of an Object (base) |
| $<- | Extract or Replace Parts of an Object (base) |
| %% | Arithmetic Operators (base) |
| %*% | Matrix Multiplication (base) |
| %/% | Arithmetic Operators (base) |
| %in% | Value Matching (base) |
| %o% | Outer Product of Arrays (base) |
| %x% | Kronecker Product of Arrays (base) |
| & | Logical Operators (base) |
| && | Logical Operators (base) |
| * | Arithmetic Operators (base) |
| + | Arithmetic Operators (base) |
| - | Arithmetic Operators (base) |
| -> | Assign a Value to a Name (base) |
| ->> | Assign a Value to a Name (base) |
| .Alias | Create Alias (Pointer) to R Object (base) |
| .Autoloaded | Loading and Listing of Packages (base) |
| .AutoloadEnv | On-demand Loading of Packages (base) |
| .C | Foreign Function Interface (base) |
| .Call | Foreign Function Interface (base) |
| .Class | Internal and Group Methods and Generic Functions (base) |
| .Defunct | Defunct Functions (base) |
| .Deprecated | Deprecated Functions (base) |
| .Device | Control Multiple Devices (base) |
| .Devices | Control Multiple Devices (base) |
| .Dyn.libs | Loading Shared Libraries (base) |
| .External | Foreign Function Interface (base) |
| .First | Initialization at Start of an R Session (base) |
| .First.lib | Loading and Listing of Packages (base) |
| .Fortran | Foreign Function Interface (base) |
| .Generic | Internal and Group Methods and Generic Functions (base) |
| .GlobalEnv | Environment Access (base) |
| .Group | Internal and Group Methods and Generic Functions (base) |
| .Internal | Call an Internal Function (base) |
| .Last | Terminate an R Session (base) |
| .Last.value | Value of Last Evaluated Expression (base) |
| .lib.loc | Loading and Listing of Packages (base) |
| .Library | Loading and Listing of Packages (base) |
| .Machine | Machine Characteristics (base) |
| .Method | Internal and Group Methods and Generic Functions (base) |
| .NotYetImplemented | Not Yet Implemented Functions and Unused Arguments (base) |
| .NotYetUsed | Not Yet Implemented Functions and Unused Arguments (base) |
| .Options | Options Settings (base) |
| .packages | Loading and Listing of Packages (base) |
| .Pars | Set or Query Graphical Parameters (base) |
| .Pars.readonly | Set or Query Graphical Parameters (base) |
| .Platform | Platform Specific Variables (base) |
| .PostScript.Options | PostScript Graphics (base) |
| .Primitive | Call a ``Primitive'' Internal Function (base) |
| .Provided | Loading and Listing of Packages (base) |
| .Random.seed | Random Number Generation (base) |
| .Rprofile | Initialization at Start of an R Session (base) |
| .Traceback | Print Call Stack of Last Error (base) |
| / | Arithmetic Operators (base) |
| : | Sequence Generation (base) |
| < | Relational Operators (base) |
| <- | Assign a Value to a Name (base) |
| <<- | Assign a Value to a Name (base) |
| <= | Relational Operators (base) |
| == | Relational Operators (base) |
| > | Relational Operators (base) |
| >= | Relational Operators (base) |
| ? | Documentation (base) |
| [ | Extract or Replace Parts of an Object (base) |
| [.data.frame | Extract or Replace Parts of an Object (base) |
| [.factor | Extract or Replace Parts of an Object (base) |
| [.formula | Extract or Replace Parts of an Object (base) |
| [.noquote | Extract or Replace Parts of an Object (base) |
| [.ts | Extract or Replace Parts of an Object (base) |
| [.tskernel | Smoothing Kernel Objects (ts) |
| [<- | Extract or Replace Parts of an Object (base) |
| [<-.data.frame | Extract or Replace Parts of an Object (base) |
| [<-.factor | Extract or Replace Parts of an Object (base) |
| [<-.noquote | Extract or Replace Parts of an Object (base) |
| [[ | Extract or Replace Parts of an Object (base) |
| [[.data.frame | Extract or Replace Parts of an Object (base) |
| [[<- | Extract or Replace Parts of an Object (base) |
| [[<-.data.frame | Extract or Replace Parts of an Object (base) |
| ^ | Arithmetic Operators (base) |
| | | Logical Operators (base) |
| || | Logical Operators (base) |
| ~ | Model Formulae (base) |
| abbreviate | Abbreviate Strings (base) |
| abline | Add a Straight Line to a Plot (base) |
| abs | Miscellaneous Mathematical Functions (base) |
| acf | Autocovariance and Autocorrelation Function Estimation (ts) |
| acos | Trigonometric Functions (base) |
| acosh | Hyperbolic Functions (base) |
| add.scope | Compute Allowed Changes in Adding to or Dropping from a Formula (base) |
| add1 | Add or Drop All Possible Single Terms to a Model (base) |
| add1.default | Add or Drop All Possible Single Terms to a Model (base) |
| add1.glm | Add or Drop All Possible Single Terms to a Model (base) |
| add1.lm | Add or Drop All Possible Single Terms to a Model (base) |
| add1.mlm | Add or Drop All Possible Single Terms to a Model (base) |
| aggregate | Compute Summary Statistics of Data Subsets (base) |
| aggregate.data.frame | Compute Summary Statistics of Data Subsets (base) |
| aggregate.default | Compute Summary Statistics of Data Subsets (base) |
| aggregate.ts | Compute Summary Statistics of Data Subsets (base) |
| airmiles | Commercial Airline Mileage (base) |
| airquality | New York Air Quality Measurements (base) |
| alias | Find Aliases (Dependencies) in a Model (base) |
| alias.formula | Find Aliases (Dependencies) in a Model (base) |
| alias.lm | Find Aliases (Dependencies) in a Model (base) |
| alist | Lists -- Generic and Dotted Pairs (base) |
| all | Are All Values True? (base) |
| all.equal | Test if Two Objects are (Nearly) Equal (base) |
| all.equal.character | Test if Two Objects are (Nearly) Equal (base) |
| all.equal.default | Test if Two Objects are (Nearly) Equal (base) |
| all.equal.factor | Test if Two Objects are (Nearly) Equal (base) |
| all.equal.formula | Test if Two Objects are (Nearly) Equal (base) |
| all.equal.language | Test if Two Objects are (Nearly) Equal (base) |
| all.equal.list | Test if Two Objects are (Nearly) Equal (base) |
| all.equal.numeric | Test if Two Objects are (Nearly) Equal (base) |
| all.names | Find All Names in an Expression (base) |
| all.vars | Find All Names in an Expression (base) |
| anova | Anova Tables (base) |
| anova.glm | Accessing Generalized Linear Model Fits (base) |
| anova.glm.null | Accessing Generalized Linear Model Fits (base) |
| anova.glmlist | Accessing Generalized Linear Model Fits (base) |
| anova.lm | Accessing Linear Model Fits (base) |
| anova.lm.null | Accessing Linear Model Fits (base) |
| anova.loess | Local Polynomial Regression Fitting (modreg) |
| anova.mlm | Anova Tables (base) |
| anovalist.lm | Accessing Linear Model Fits (base) |
| anscombe | Anscombe's Quartet of ``Identical'' Simple Linear Regressions (base) |
| any | Are Values True? (base) |
| aov | Fit an Analysis of Variance Model (base) |
| aperm | Array Transposition (base) |
| append | Vector Merging (base) |
| apply | Apply Functions Over Array Margins (base) |
| approx | Interpolation Functions (base) |
| approxfun | Interpolation Functions (base) |
| approx[fun] | Interpolation Functions (base) |
| apropos | Find Objects by (Partial) Name (base) |
| ar | Fit Autoregressive Models to Time Series (ts) |
| ar.burg | Fit Autoregressive Models to Time Series (ts) |
| ar.burg.default | Fit Autoregressive Models to Time Series (ts) |
| ar.burg.mts | Fit Autoregressive Models to Time Series (ts) |
| ar.mle | Fit Autoregressive Models to Time Series (ts) |
| ar.ols | Fit Autoregressive Models to Time Series by OLS (ts) |
| ar.yw | Fit Autoregressive Models to Time Series (ts) |
| ar.yw.default | Fit Autoregressive Models to Time Series (ts) |
| ar.yw.mts | Fit Autoregressive Models to Time Series (ts) |
| Arg | Complex Vectors (base) |
| args | Argument List of a Function (base) |
| arima0 | ARIMA Modelling of Time Series -- Preliminary Version (ts) |
| arima0.diag | ARIMA Modelling of Time Series -- Preliminary Version (ts) |
| Arithmetic | Arithmetic Operators (base) |
| arma0f | Internal ts functions (ts) |
| array | Multi-way Arrays (base) |
| arrows | Add Arrows to a Plot (base) |
| as.array | Multi-way Arrays (base) |
| as.call | Function Calls (base) |
| as.character | Character Vectors (base) |
| as.character.default | Character Vectors (base) |
| as.complex | Complex Vectors (base) |
| as.complex.default | Complex Vectors (base) |
| as.data.frame | Data Frames (base) |
| as.data.frame.AsIs | Data Frames (base) |
| as.data.frame.character | Data Frames (base) |
| as.data.frame.complex | Data Frames (base) |
| as.data.frame.data.frame | Data Frames (base) |
| as.data.frame.default | Data Frames (base) |
| as.data.frame.factor | Data Frames (base) |
| as.data.frame.integer | Data Frames (base) |
| as.data.frame.list | Data Frames (base) |
| as.data.frame.logical | Data Frames (base) |
| as.data.frame.matrix | Data Frames (base) |
| as.data.frame.model.matrix | Data Frames (base) |
| as.data.frame.numeric | Data Frames (base) |
| as.data.frame.ordered | Data Frames (base) |
| as.data.frame.ts | Data Frames (base) |
| as.data.frame.vector | Data Frames (base) |
| as.data.frame.xyVector | Construct an xyVector Object (splines) |
| as.dist | Distance Matrix Computation (mva) |
| as.double | Double Precision Vectors (base) |
| as.double.default | Double Precision Vectors (base) |
| as.expression | Unevaluated Expressions (base) |
| as.expression.default | Unevaluated Expressions (base) |
| as.factor | Factors (base) |
| as.formula | Model Formulae (base) |
| as.function | Convert Object to Function (base) |
| as.function.default | Convert Object to Function (base) |
| as.hclust | Convert Objects to Class hclust (mva) |
| as.hclust.twins | Convert Objects to Class hclust (mva) |
| as.integer | Integer Vectors (base) |
| as.integer.default | Integer Vectors (base) |
| as.list | Lists -- Generic and Dotted Pairs (base) |
| as.list.data.frame | Lists -- Generic and Dotted Pairs (base) |
| as.list.default | Lists -- Generic and Dotted Pairs (base) |
| as.logical | Logical Vectors (base) |
| as.logical.default | Logical Vectors (base) |
| as.matrix | Matrices (base) |
| as.matrix.data.frame | Matrices (base) |
| as.matrix.default | Matrices (base) |
| as.matrix.dist | Distance Matrix Computation (mva) |
| as.matrix.noquote | Class for ``no quote'' Printing of Strings (base) |
| as.name | Variable Names (base) |
| as.null | The Null Object (base) |
| as.null.default | The Null Object (base) |
| as.numeric | Numeric Vectors (base) |
| as.ordered | Factors (base) |
| as.pairlist | Lists -- Generic and Dotted Pairs (base) |
| as.polySpline | Piecewise Polynomial Spline Representation (splines) |
| as.qr | The QR Decomposition of a Matrix (base) |
| as.real | Real Vectors (base) |
| as.single | Double Precision Vectors (base) |
| as.single.default | Double Precision Vectors (base) |
| as.ts | Time-Series Objects (base) |
| as.vector | Vectors (base) |
| as.vector.factor | Vectors (base) |
| asin | Trigonometric Functions (base) |
| asinh | Hyperbolic Functions (base) |
| asOneSidedFormula | Convert to One-Sided Formula (nls) |
| assign | Assign a Value to a Name (base) |
| asVector | Coerce an Object to a Vector (splines) |
| asVector.xyVector | Coerce an Object to a Vector (splines) |
| atan | Trigonometric Functions (base) |
| atan2 | Trigonometric Functions (base) |
| atanh | Hyperbolic Functions (base) |
| attach | Attach Set of R Objects to Search Path (base) |
| attenu | The Joyner-Boore Attenuation Data (base) |
| attitude | Attitudes Toward Supervisors (base) |
| attr | Object Attributes (base) |
| attr.all.equal | Test if Two Objects are (Nearly) Equal (base) |
| attr<- | Object Attributes (base) |
| attributes | Object Attribute Lists (base) |
| attributes<- | Object Attribute Lists (base) |
| austres | Quarterly Time Series of the Number of Australian Residents (ts) |
| autoload | On-demand Loading of Packages (base) |
| autoloader | On-demand Loading of Packages (base) |
| ave | Group Averages Over Level Combinations of Factors (base) |
| axis | Add an Axis to a Plot (base) |
| backsolve | Solve an Upper or Lower Triangular System (base) |
| backSpline | Monotone Inverse Spline (splines) |
| backSpline.nbSpline | Monotone Inverse Spline (splines) |
| backSpline.npolySpline | Monotone Inverse Spline (splines) |
| bandwidth.kernel | Smoothing Kernel Objects (ts) |
| barplot | Bar Plots (base) |
| barplot.default | Bar Plots (base) |
| basename | File Manipulation (base) |
| BATCH | Batch Execution of R (base) |
| beaver1 | Body Temperature Series of Two Beavers (ts) |
| beaver2 | Body Temperature Series of Two Beavers (ts) |
| beavers | Body Temperature Series of Two Beavers (ts) |
| Bessel | Bessel Functions (base) |
| bessel | Bessel Functions (base) |
| besselI | Bessel Functions (base) |
| besselJ | Bessel Functions (base) |
| besselK | Bessel Functions (base) |
| besselY | Bessel Functions (base) |
| Beta | The Beta Distribution (base) |
| beta | Special Functions of Mathematics (base) |
| Binomial | The Binomial Distribution (base) |
| binomial | Family Objects for Models (base) |
| biplot | Biplot of Multivariate Data (mva) |
| biplot.default | Biplot of Multivariate Data (mva) |
| biplot.princomp | Biplot for Principal Components (mva) |
| BJsales | Sales Data with Leading Indicator. (ts) |
| BJsales.lead | Sales Data with Leading Indicator. (ts) |
| BOD | Biochemical Oxygen Demand (nls) |
| body | Access to and Manipulation of the Body of a Function (base) |
| body<- | Access to and Manipulation of the Body of a Function (base) |
| box | Draw a Box around a Plot (base) |
| Box.test | Box--Pierce and Ljung--Box Tests (ts) |
| boxplot | Box Plots (base) |
| boxplot.default | Box Plots (base) |
| boxplot.formula | Formula Notation for Boxplots (base) |
| boxplot.stats | Box Plot Statistics (base) |
| break | Control Flow (base) |
| browser | Environment Browser (base) |
| bs | Generate a Basis for Polynomial Splines (splines) |
| bug.report | Send a Bug Report (base) |
| bxp | Box Plots from Summaries (base) |
| C | Sets Contrasts for a Factor (base) |
| c | Combine Values into a Vector or List (base) |
| call | Function Calls (base) |
| cancor | Canonical Correlations (mva) |
| cars | Stopping Distances of Cars (base) |
| case.names | Case and Variable Names of Fitted Models (base) |
| case.names.default | Case and Variable Names of Fitted Models (base) |
| case.names.lm | Case and Variable Names of Fitted Models (base) |
| case/variable.names | Case and Variable Names of Fitted Models (base) |
| cat | Concatenate and Print (base) |
| category | Defunct Functions (base) |
| Cauchy | The Cauchy Distribution (base) |
| cbind | Combine Columns/Rows into a Matrix (base) |
| cbind.data.frame | Combine Columns/Rows into a Matrix (base) |
| cbind.ts | Bind Two or More Time Series (ts) |
| ccf | Autocovariance and Autocorrelation Function Estimation (ts) |
| ceiling | Rounding of Numbers (base) |
| character | Character Vectors (base) |
| charmatch | Partial String Matching (base) |
| check.options | Set Options with Consistency Checks (base) |
| chickwts | Chicken Weights by Feed Type (base) |
| chisq.test | Pearson's Chi-square Test for Count Data (base) |
| Chisquare | The (non-central) Chi-Square Distribution (base) |
| chol | The Choleski Decomposition (base) |
| chol2inv | Inverse from Choleski Decomposition (base) |
| choose | Special Functions of Mathematics (base) |
| chull | Compute Convex Hull of a Set of Points (base) |
| class | Object Classes (base) |
| class<- | Object Classes (base) |
| clearNames | Remove the Names from an Object (nls) |
| close.screen | Creating and Controlling Multiple Screens on a Single Device (base) |
| close.socket | Close a Socket (base) |
| cm | Graphical Units (base) |
| cm.colors | Color Palettes (base) |
| cmdscale | Classical (Metric) Multidimensional Scaling (mva) |
| co.intervals | Conditioning Plots (base) |
| co2 | Mauna Loa Atmospheric CO2 Concentration (base) |
| codes | Factor Codes (base) |
| codes.factor | Factor Codes (base) |
| codes.ordered | Factor Codes (base) |
| codes<- | Factor Codes (base) |
| coef | Extract Model Coefficients (base) |
| coef.aov | Extract Model Coefficients (base) |
| coef.default | Extract Model Coefficients (base) |
| coef.glm | Extract Model Coefficients (base) |
| coef.listof | Extract Model Coefficients (base) |
| coef.lm | Extract Model Coefficients (base) |
| coef.nls | Nonlinear Least Squares (nls) |
| coef.tukeyline | Robust Line Fitting (eda) |
| coefficients | Extract Model Coefficients (base) |
| coefficients.glm | Accessing Generalized Linear Model Fits (base) |
| coefficients.lm | Accessing Linear Model Fits (base) |
| coefficients.tukeyline | Robust Line Fitting (eda) |
| col | Column Indexes (base) |
| colnames | Row and Columnn Names (base) |
| colnames<- | Row and Columnn Names (base) |
| colors | Color Names (base) |
| colours | Color Names (base) |
| commandArgs | Extract Command Line Arguments (base) |
| comment | Query or Set a `Comment' Attribute (base) |
| comment<- | Query or Set a `Comment' Attribute (base) |
| Comparison | Relational Operators (base) |
| COMPILE | Compile Files for Use with R (base) |
| complete.cases | Find Complete Cases (base) |
| complex | Complex Vectors (base) |
| conflicts | Search for Masked Objects on the Search Path (base) |
| Conj | Complex Vectors (base) |
| Constants | Built-in Constants (base) |
| contour | Display Contours (base) |
| contr.helmert | Contrast Matrices (base) |
| contr.poly | Contrast Matrices (base) |
| contr.sum | Contrast Matrices (base) |
| contr.treatment | Contrast Matrices (base) |
| Contrast | Contrast Matrices (base) |
| contrasts | Get and Set Contrast Matrices (base) |
| contrasts<- | Get and Set Contrast Matrices (base) |
| contrib.url | Download Packages from CRAN (base) |
| contributors | R Project Contributors (base) |
| Control | Control Flow (base) |
| convolve | Fast Convolution (base) |
| cooks.distance | Regression Diagnostics (base) |
| coplot | Conditioning Plots (base) |
| copy.url | Read Data and Code from a Web Server (base) |
| copyright | Copyrights of Files Used to Build R (base) |
| copyrights | Copyrights of Files Used to Build R (base) |
| cor | Correlation and Covariance Matrices (base) |
| cos | Trigonometric Functions (base) |
| cosh | Hyperbolic Functions (base) |
| count.fields | Count the Number of Fields per Line (base) |
| cov | Correlation and Covariance Matrices (base) |
| cov.mcd | Resistant Estimation of Multivariate Location and Scatter (lqs) |
| cov.mve | Resistant Estimation of Multivariate Location and Scatter (lqs) |
| cov.rob | Resistant Estimation of Multivariate Location and Scatter (lqs) |
| cov.wt | Weighted Covariance Matrices (base) |
| covratio | Regression Diagnostics (base) |
| cpgram | Plot Cumulative Periodogram (ts) |
| CRAN.packages | Download Packages from CRAN (base) |
| crossprod | Matrix Crossproduct (base) |
| cummax | Cumulative Sums, Products, etc. (base) |
| cummin | Cumulative Sums, Products, etc. (base) |
| cumprod | Cumulative Sums, Products, etc. (base) |
| cumsum | Cumulative Sums, Products, etc. (base) |
| curve | Draw Function Plots (base) |
| cut | Convert Numeric to Factor (base) |
| cut.default | Convert Numeric to Factor (base) |
| cycle | Sampling Times of Time Series (base) |
| cycle.default | Sampling Times of Time Series (base) |
| cycle.ts | Sampling Times of Time Series (base) |
| D | Symbolic and Algorithmic Derivatives of Simple Expressions (base) |
| data | Data Sets (base) |
| data.class | Object Classes (base) |
| data.entry | Spreadsheet Interface for Entering Data (base) |
| data.frame | Data Frames (base) |
| data.matrix | Data Frame to Numeric Matrix (base) |
| dataentry | Spreadsheet Interface for Entering Data (base) |
| date | System Date and Time (base) |
| dbeta | The Beta Distribution (base) |
| dbinom | The Binomial Distribution (base) |
| dcauchy | The Cauchy Distribution (base) |
| dchisq | The (non-central) Chi-Square Distribution (base) |
| de | Spreadsheet Interface for Entering Data (base) |
| de.ncols | Spreadsheet Interface for Entering Data (base) |
| de.restore | Spreadsheet Interface for Entering Data (base) |
| de.setup | Spreadsheet Interface for Entering Data (base) |
| debug | Debug a function (base) |
| Defunct | Defunct Functions (base) |
| delay | Delay Evaluation (base) |
| delete.response | Modify Terms Objects (base) |
| deltat | Sampling Times of Time Series (base) |
| deltat.default | Sampling Times of Time Series (base) |
| demo | Demonstrations of R functions (base) |
| density | Kernel Density Estimation (base) |
| deparse | Expression Deparsing (base) |
| Deprecated | Deprecated Functions (base) |
| deriv | Symbolic and Algorithmic Derivatives of Simple Expressions (base) |
| deriv.default | Symbolic and Algorithmic Derivatives of Simple Expressions (base) |
| deriv.formula | Symbolic and Algorithmic Derivatives of Simple Expressions (base) |
| detach | Detach Objects from the Search Path (base) |
| dev.control | Copy Graphics Between Multiple Devices (base) |
| dev.copy | Copy Graphics Between Multiple Devices (base) |
| dev.cur | Control Multiple Devices (base) |
| dev.list | Control Multiple Devices (base) |
| dev.next | Control Multiple Devices (base) |
| dev.off | Control Multiple Devices (base) |
| dev.prev | Control Multiple Devices (base) |
| dev.print | Copy Graphics Between Multiple Devices (base) |
| dev.set | Control Multiple Devices (base) |
| dev.xxx | Control Multiple Devices (base) |
| dev2 | Copy Graphics Between Multiple Devices (base) |
| dev2bitmap | Copy Graphics Device to Bitmap File (base) |
| deviance | Model Deviance (base) |
| deviance.default | Model Deviance (base) |
| deviance.glm | Model Deviance (base) |
| deviance.lm | Model Deviance (base) |
| deviance.mlm | Model Deviance (base) |
| device | List of Graphical Devices (base) |
| Devices | List of Graphical Devices (base) |
| dexp | The Exponential Distribution (base) |
| df | The F Distribution (base) |
| df.kernel | Smoothing Kernel Objects (ts) |
| df.residual | Residual Degrees-of-Freedom (base) |
| df.residual.glm | Accessing Generalized Linear Model Fits (base) |
| df.residual.lm | Accessing Linear Model Fits (base) |
| dfbetas | Regression Diagnostics (base) |
| dffits | Regression Diagnostics (base) |
| dgamma | The Gamma Distribution (base) |
| dgeom | The Geometric Distribution (base) |
| dget | Write an Internal Object to a File (base) |
| dhyper | The Hypergeometric Distribution (base) |
| diag | Matrix Diagonals (base) |
| diag<- | Matrix Diagonals (base) |
| diff | Lagged Differences (base) |
| diff.default | Lagged Differences (base) |
| diff.ts | diff Method for ts Objects (ts) |
| diffinv | Discrete Integrals: Inverse of Differencing (ts) |
| diffinv.default | Discrete Integrals: Inverse of Differencing (ts) |
| diffinv.ts | Discrete Integrals: Inverse of Differencing (ts) |
| diffinv.vec | Discrete Integrals: Inverse of Differencing (ts) |
| digamma | Special Functions of Mathematics (base) |
| dim | Dimensions of an Object (base) |
| dim.data.frame | Dimensions of an Object (base) |
| dim<- | Dimensions of an Object (base) |
| dimnames | Dimnames of an Object (base) |
| dimnames.data.frame | Dimnames of an Object (base) |
| dimnames<- | Dimnames of an Object (base) |
| dimnames<-.data.frame | Dimnames of an Object (base) |
| dir | List the Files in a Directory/Folder (base) |
| dir.create | File Manipulation (base) |
| dirname | File Manipulation (base) |
| discoveries | Numbers of Important Discoveries (base) |
| dist | Distance Matrix Computation (mva) |
| dlnorm | The Log Normal Distribution (base) |
| dlogis | The Logistic Distribution (base) |
| dnbinom | The Negative Binomial Distribution (base) |
| dnchisq | Defunct Functions (base) |
| dnorm | The Normal Distribution (base) |
| do.call | Execute a Function Call (base) |
| dotplot | Cleveland Dot Plots (base) |
| double | Double Precision Vectors (base) |
| download.file | Download Packages from CRAN (base) |
| download.packages | Download Packages from CRAN (base) |
| dpois | The Poisson Distribution (base) |
| dput | Write an Internal Object to a File (base) |
| drop | Drop Redundant Extent Information (base) |
| drop.scope | Compute Allowed Changes in Adding to or Dropping from a Formula (base) |
| drop.terms | Modify Terms Objects (base) |
| drop1 | Add or Drop All Possible Single Terms to a Model (base) |
| drop1.default | Add or Drop All Possible Single Terms to a Model (base) |
| drop1.glm | Add or Drop All Possible Single Terms to a Model (base) |
| drop1.lm | Add or Drop All Possible Single Terms to a Model (base) |
| drop1.mlm | Add or Drop All Possible Single Terms to a Model (base) |
| dsignrank | Distribution of the Wilcoxon Signed Rank Statistic (base) |
| dt | The Student t Distribution (base) |
| dummy.coef | Extract Coefficients in Original Coding (base) |
| dummy.coef.aovlist | Extract Coefficients in Original Coding (base) |
| dummy.coef.lm | Extract Coefficients in Original Coding (base) |
| dump | Text Representations of R Objects (base) |
| dunif | The Uniform Distribution (base) |
| duplicated | Determine Duplicate Elements (base) |
| dweibull | The Weibull Distribution (base) |
| dwilcox | Distribution of the Wilcoxon Rank Sum Statistic (base) |
| dyn.load | Foreign Function Interface (base) |
| dyn.unload | Foreign Function Interface (base) |
| dynload | Foreign Function Interface (base) |
| ecdf | Empirical Cumulative Distribution Function (stepfun) |
| edit | Invoke a Text Editor (base) |
| eff.aovlist | Compute Efficiencies of Multistratum Analysis of Variance (base) |
| effects | Effects from Fitted Model (base) |
| effects.glm | Effects from Fitted Model (base) |
| effects.lm | Effects from Fitted Model (base) |
| eigen | Spectral Decomposition of a Matrix (base) |
| else | Control Flow (base) |
| emacs | Invoke a Text Editor (base) |
| embed | Embedding a Time Series (ts) |
| end | Encode the Terminal Times of Time Series (base) |
| end.default | Encode the Terminal Times of Time Series (base) |
| environment | Environment Access (base) |
| environment<- | Environment Access (base) |
| erase.screen | Creating and Controlling Multiple Screens on a Single Device (base) |
| esoph | Smoking, Alcohol and (O)esophageal Cancer (base) |
| euro | Euro Conversion Rates (base) |
| euro.cross | Euro Conversion Rates (base) |
| eurodist | Distances Between Cities in Europe (base) |
| EuStockMarkets | Daily Closing Prices of Major European Stock Indices, 1991-1998. (ts) |
| eval | Evaluate an (Unevaluated) Expression (base) |
| eval.parent | Evaluate an (Unevaluated) Expression (base) |
| evalq | Evaluate an (Unevaluated) Expression (base) |
| example | Run an Examples Section from the Online Help (base) |
| exists | Is an Object Defined? (base) |
| exp | Logarithms and Exponentials (base) |
| expand.grid | Create a Data Frame from All Combinations of Factors (base) |
| Exponential | The Exponential Distribution (base) |
| expression | Unevaluated Expressions (base) |
| Extract | Extract or Replace Parts of an Object (base) |
| extractAIC | Extract AIC from a Fitted Model (base) |
| extractAIC.aov | Extract AIC from a Fitted Model (base) |
| extractAIC.coxph | Extract AIC from a Fitted Model (base) |
| extractAIC.glm | Extract AIC from a Fitted Model (base) |
| extractAIC.lm | Extract AIC from a Fitted Model (base) |
| extractAIC.negbin | Extract AIC from a Fitted Model (base) |
| extractAIC.survreg | Extract AIC from a Fitted Model (base) |
| Extremes | Maxima and Minima (base) |
| F | Logical Vectors (base) |
| factor | Factors (base) |
| factor.scope | Compute Allowed Changes in Adding to or Dropping from a Formula (base) |
| faithful | Old Faithful Geyser Data (base) |
| FALSE | Logical Vectors (base) |
| family | Family Objects for Models (base) |
| family.glm | Accessing Generalized Linear Model Fits (base) |
| family.lm | Accessing Linear Model Fits (base) |
| fdeaths | Monthly Deaths from Lung Diseases in the UK (ts) |
| FDist | The F Distribution (base) |
| fft | Fast Discrete Fourier Transform (base) |
| file | File Manipulation (base) |
| file.append | File Manipulation (base) |
| file.choose | Choose a File Interactively (base) |
| file.create | File Manipulation (base) |
| file.exists | File Manipulation (base) |
| file.path | Construct Path to File (base) |
| file.remove | File Manipulation (base) |
| file.show | Display One or More Files (base) |
| filled.contour | Level (Contour) Plots (base) |
| filter | Linear Filtering on a Time Series (ts) |
| find | Find Objects by (Partial) Name (base) |
| fitted | Extract Model Fitted Values (base) |
| fitted.default | Extract Model Fitted Values (base) |
| fitted.glm | Extract Model Fitted Values (base) |
| fitted.lm | Extract Model Fitted Values (base) |
| fitted.nls | Nonlinear Least Squares (nls) |
| fitted.tukeyline | Robust Line Fitting (eda) |
| fitted.values | Extract Model Fitted Values (base) |
| fitted.values.glm | Accessing Generalized Linear Model Fits (base) |
| fitted.values.lm | Accessing Linear Model Fits (base) |
| fitted.values.tukeyline | Robust Line Fitting (eda) |
| fivenum | Tukey Five-Number Summaries (base) |
| fix | Fix an Object (base) |
| floor | Rounding of Numbers (base) |
| for | Control Flow (base) |
| Foreign | Foreign Function Interface (base) |
| Formaldehyde | Determination of Formaldehyde (base) |
| formals | Access to and Manipulation of the Formal Arguments (base) |
| formals<- | Access to and Manipulation of the Formal Arguments (base) |
| format | Encode in a Common Format (base) |
| format.char | Flexible Formatting (base) |
| format.default | Encode in a Common Format (base) |
| format.info | format(.) Information (base) |
| format.pval | Encode in a Common Format (base) |
| formatC | Flexible Formatting (base) |
| formula | Model Formulae (base) |
| formula.data.frame | Model Formulae (base) |
| formula.default | Model Formulae (base) |
| formula.formula | Model Formulae (base) |
| formula.lm | Accessing Linear Model Fits (base) |
| formula.nls | Extract Model Formula from nls Object (nls) |
| formula.terms | Model Formulae (base) |
| forwardsolve | Solve an Upper or Lower Triangular System (base) |
| frame | Create / Start a New Plot Frame (base) |
| freeny | Freeny's Revenue Data (base) |
| frequency | Sampling Times of Time Series (base) |
| frequency.default | Sampling Times of Time Series (base) |
| function | Function Definition (base) |
| Gamma | Family Objects for Models (base) |
| gamma | Special Functions of Mathematics (base) |
| gammaCody | Bessel Functions (base) |
| GammaDist | The Gamma Distribution (base) |
| gaussian | Family Objects for Models (base) |
| gc | Garbage Collection (base) |
| gcinfo | Garbage Collection (base) |
| gctorture | Torture Garbage Collector (base) |
| Geometric | The Geometric Distribution (base) |
| get | Return a Variable's Value (base) |
| getenv | Get Environment Variables (base) |
| getInitial | Get Initial Parameter Estimates (nls) |
| getInitial.default | Get Initial Parameter Estimates (nls) |
| getInitial.formula | Get Initial Parameter Estimates (nls) |
| getInitial.selfStart | Get Initial Parameter Estimates (nls) |
| getwd | Get or Set Working Directory (base) |
| gl | Generate Factor Levels (base) |
| glm | Fitting Generalized Linear Models (base) |
| glm.control | Fitting Generalized Linear Models (base) |
| glm.fit | Fitting Generalized Linear Models (base) |
| glm.fit.null | Fitting Generalized Linear Models (base) |
| glm.summaries | Accessing Generalized Linear Model Fits (base) |
| globalenv | Environment Access (base) |
| GNOME | GNOME Desktop Graphics Device (base) |
| Gnome | GNOME Desktop Graphics Device (base) |
| gnome | GNOME Desktop Graphics Device (base) |
| graphics.off | Control Multiple Devices (base) |
| gray | Gray Level Specification (base) |
| grep | Pattern Matching and Replacement (base) |
| grid | Add Grid to a Plot (base) |
| gsub | Pattern Matching and Replacement (base) |
| HairEyeColor | Hair and Eye Color of Statistics Students (base) |
| hasTsp | Tsp Attribute of Time-Series-like Objects (base) |
| hat | Regression Diagnostics (base) |
| hclust | Hierarchical Clustering (mva) |
| hdf5 | Interface to the HDF5 Library (base) |
| hdf5load | Interface to the HDF5 Library (base) |
| hdf5save | Interface to the HDF5 Library (base) |
| heat.colors | Color Palettes (base) |
| help | Documentation (base) |
| help.search | Search the Help System (base) |
| help.start | Hypertext Documentation (base) |
| hist | Histograms (base) |
| hist.default | Histograms (base) |
| hsv | HSV Color Specification (base) |
| Hyperbolic | Hyperbolic Functions (base) |
| Hypergeometric | The Hypergeometric Distribution (base) |
| I | Model Formulae (base) |
| identify | Identify Points in a Scatter Plot (base) |
| identify.default | Identify Points in a Scatter Plot (base) |
| if | Control Flow (base) |
| ifelse | Conditional Element Selection (base) |
| Im | Complex Vectors (base) |
| image | Display a Color Image (base) |
| index.search | Search Indices for Help Files (base) |
| Inf | Finite, Infinite and NaN Numbers (base) |
| infert | Infertility after Spontaneous and Induced Abortion (base) |
| influence.measures | Regression Diagnostics (base) |
| inherits | Object Classes (base) |
| InsectSprays | Effectiveness of Insect Sprays (base) |
| INSTALL | Install Add-on Packages (base) |
| install.packages | Download Packages from CRAN (base) |
| installed.packages | Download Packages from CRAN (base) |
| integer | Integer Vectors (base) |
| interaction | Compute Factor Interactions (base) |
| interactive | Is R Running Interactively? (base) |
| Internal | Call an Internal Function (base) |
| interpSpline | Create an Interpolation Spline (splines) |
| interpSpline.default | Create an Interpolation Spline (splines) |
| interpSpline.formula | Create an Interpolation Spline (splines) |
| intersect | Set Operations (base) |
| inverse.gaussian | Family Objects for Models (base) |
| invisible | Change the Print Mode to Invisible (base) |
| IQR | The Interquartile Range (base) |
| iris | Edgar Anderson's Iris Data (base) |
| iris3 | Edgar Anderson's Iris Data (base) |
| is.array | Multi-way Arrays (base) |
| is.atomic | Is an Object Atomic or Recursive? (base) |
| is.call | Function Calls (base) |
| is.character | Character Vectors (base) |
| is.complex | Complex Vectors (base) |
| is.data.frame | Data Frames (base) |
| is.double | Double Precision Vectors (base) |
| is.element | Set Operations (base) |
| is.empty.model | Check if a Model is Empty (base) |
| is.environment | Environment Access (base) |
| is.expression | Unevaluated Expressions (base) |
| is.factor | Factors (base) |
| is.finite | Finite, Infinite and NaN Numbers (base) |
| is.function | Is an Object of Type Function? (base) |
| is.infinite | Finite, Infinite and NaN Numbers (base) |
| is.integer | Integer Vectors (base) |
| is.language | Is an Object a Language Object? (base) |
| is.list | Lists -- Generic and Dotted Pairs (base) |
| is.loaded | Foreign Function Interface (base) |
| is.logical | Logical Vectors (base) |
| is.matrix | Matrices (base) |
| is.mts | Internal ts functions (ts) |
| is.na | Not Available / ``Missing'' Values (base) |
| is.na.data.frame | Not Available / ``Missing'' Values (base) |
| is.name | Variable Names (base) |
| is.nan | Finite, Infinite and NaN Numbers (base) |
| is.null | The Null Object (base) |
| is.numeric | Numeric Vectors (base) |
| is.object | Is an Object ``internally classed''? (base) |
| is.ordered | Factors (base) |
| is.pairlist | Lists -- Generic and Dotted Pairs (base) |
| is.qr | The QR Decomposition of a Matrix (base) |
| is.R | Are we using R, rather than S? (base) |
| is.real | Real Vectors (base) |
| is.recursive | Is an Object Atomic or Recursive? (base) |
| is.single | Is an Object of Single Precision Type? (base) |
| is.stepfun | Step Functions (stepfun) |
| is.ts | Time-Series Objects (base) |
| is.tskernel | Smoothing Kernel Objects (ts) |
| is.vector | Vectors (base) |
| islands | Areas of the World's Major Landmasses (base) |
| jitter | Add `Jitter' (Noise) to Numbers (base) |
| kappa | Estimate the Condition Number (base) |
| kappa.default | Estimate the Condition Number (base) |
| kappa.lm | Estimate the Condition Number (base) |
| kappa.qr | Estimate the Condition Number (base) |
| kappa.tri | Estimate the Condition Number (base) |
| kernapply | Apply Smoothing Kernel (ts) |
| kernapply.default | Apply Smoothing Kernel (ts) |
| kernapply.ts | Apply Smoothing Kernel (ts) |
| kernapply.tskernel | Apply Smoothing Kernel (ts) |
| kernapply.vector | Apply Smoothing Kernel (ts) |
| kernel | Smoothing Kernel Objects (ts) |
| kmeans | K-Means Clustering (mva) |
| knots | Step Functions (stepfun) |
| knots.stepfun | Step Functions (stepfun) |
| kronecker | Kronecker Product of Arrays (base) |
| ksmooth | Kernel Regression Smoother (modreg) |
| labels | Find Labels from Object (base) |
| labels.default | Find Labels from Object (base) |
| labels.lm | Find Labels from Object (base) |
| labels.terms | Find Labels from Object (base) |
| lag | Lag a Time Series (ts) |
| lag.default | Lag a Time Series (ts) |
| LakeHuron | Level of Lake Huron 1875-1972 (ts) |
| lapply | Apply a Function over a List or Vector (base) |
| Last.value | Value of Last Evaluated Expression (base) |
| layout | Specifying Complex Plot Arrangements (base) |
| layout.show | Specifying Complex Plot Arrangements (base) |
| lbeta | Special Functions of Mathematics (base) |
| lchoose | Special Functions of Mathematics (base) |
| lcm | Specifying Complex Plot Arrangements (base) |
| ldeaths | Monthly Deaths from Lung Diseases in the UK (ts) |
| legend | Add Legends to Plots (base) |
| length | Length of a Vector or List (base) |
| length<- | Length of a Vector or List (base) |
| LETTERS | Built-in Constants (base) |
| letters | Built-in Constants (base) |
| levels | Levels Attributes (base) |
| levels.factor | Factor Levels Assignment (base) |
| levels<- | Levels Attributes (base) |
| levels<-.default | Levels Attributes (base) |
| levels<-.factor | Factor Levels Assignment (base) |
| lgamma | Special Functions of Mathematics (base) |
| lh | Luteinizing Hormone in Blood Samples (ts) |
| library | Loading and Listing of Packages (base) |
| library.dynam | Loading Shared Libraries (base) |
| licence | The R License Terms (base) |
| license | The R License Terms (base) |
| LifeCycleSavings | Intercountry Life-Cycle Savings Data (base) |
| line | Robust Line Fitting (eda) |
| lines | Add Connected Line Segments to a Plot (base) |
| lines.default | Add Connected Line Segments to a Plot (base) |
| lines.ts | Time-Series Objects (base) |
| list | Lists -- Generic and Dotted Pairs (base) |
| list.files | List the Files in a Directory/Folder (base) |
| lm | Fitting Linear Models (base) |
| lm.fit | Fitting Linear Models (base) |
| lm.fit.null | Fitting Linear Models (base) |
| lm.influence | Regression Diagnostics (base) |
| lm.summaries | Accessing Linear Model Fits (base) |
| lm.wfit | Fitting Linear Models (base) |
| lm.wfit.null | Fitting Linear Models (base) |
| lmsreg | Resistant Regression (lqs) |
| load | Reload Saved Datasets (base) |
| loadings | Principal Components Analysis (mva) |
| local | Evaluate an (Unevaluated) Expression (base) |
| locator | Graphical Input (base) |
| loess | Local Polynomial Regression Fitting (modreg) |
| loess.control | Set Parameters for Loess (modreg) |
| loess.smooth | Scatter Plot with Smooth Curve Fitted by Loess (modreg) |
| Log | Logarithms and Exponentials (base) |
| log | Logarithms and Exponentials (base) |
| log10 | Logarithms and Exponentials (base) |
| log2 | Logarithms and Exponentials (base) |
| Logic | Logical Operators (base) |
| logical | Logical Vectors (base) |
| Logistic | The Logistic Distribution (base) |
| logLik | Extract Log-Likelihood (nls) |
| logLik.nls | Nonlinear Least Squares (nls) |
| loglin | Fitting Log-Linear Models (base) |
| Lognormal | The Log Normal Distribution (base) |
| longley | Longley's Regression Data (base) |
| lower.tri | Lower and Upper Triangular Part of a Matrix (base) |
| lowess | Scatter Plot Smoothing (base) |
| lqs | Resistant Regression (lqs) |
| lqs.default | Resistant Regression (lqs) |
| lqs.formula | Resistant Regression (lqs) |
| ls | List Objects (base) |
| ls.diag | Compute Diagnostics for `lsfit' Regression Results (base) |
| ls.print | Print `lsfit' Regression Results (base) |
| ls.str | Compactly Display the Structure of an Arbitrary R Object (base) |
| lsf.str | Compactly Display the Structure of an Arbitrary R Object (base) |
| lsfit | Find the Least Squares Fit (base) |
| ltsreg | Resistant Regression (lqs) |
| lynx | Annual Canadian Lynx trappings 1821--1934 (ts) |
| Machine | Machine Characteristics (base) |
| machine | Determine the Machine R is Running On (base) |
| mad | Median Absolute Deviation (base) |
| mahalanobis | Mahalanobis Distance (base) |
| make.link | Create a Link for GLM families (base) |
| make.names | Make Legal R Names Out of Strings (base) |
| make.socket | Create a Socket Connection (base) |
| make.tables | Create model.tables (base) |
| make.tables.aovproj | Create model.tables (base) |
| make.tables.aovprojlist | Create model.tables (base) |
| mat.or.vec | Create a Matrix or a Vector (base) |
| match | Value Matching (base) |
| match.arg | Argument Verification Using Partial Matching (base) |
| match.call | Argument Matching (base) |
| match.fun | Function Verification for ``Function Variables'' (base) |
| Math | Miscellaneous Mathematical Functions (base) |
| Math.data.frame | Internal and Group Methods and Generic Functions (base) |
| Math.factor | Internal and Group Methods and Generic Functions (base) |
| matlines | Plot Columns of Matrices (base) |
| matmult | Matrix Multiplication (base) |
| matplot | Plot Columns of Matrices (base) |
| matpoints | Plot Columns of Matrices (base) |
| matrix | Matrices (base) |
| max | Maxima and Minima (base) |
| mdeaths | Monthly Deaths from Lung Diseases in the UK (ts) |
| mean | Arithmetic Mean (base) |
| mean.default | Arithmetic Mean (base) |
| median | Median Value (base) |
| medpolish | Median Polish of a Matrix (eda) |
| Memory | Memory Available for Data Storage (base) |
| memory.profile | Profile the Usage of Cons Cells (base) |
| menu | Menu Interaction Function (base) |
| Methods | Internal and Group Methods and Generic Functions (base) |
| methods | Class Methods (base) |
| min | Maxima and Minima (base) |
| missing | Does a Formal Argument have a Value? (base) |
| Mod | Complex Vectors (base) |
| mode | The (Storage) Mode of an Object (base) |
| mode<- | The (Storage) Mode of an Object (base) |
| model.extract | Extract Components from a Model Frame (base) |
| model.frame | Extracting the ``Environment'' of a Model Formula (base) |
| model.frame.aovlist | Extracting the ``Environment'' of a Model Formula (base) |
| model.frame.default | Extracting the ``Environment'' of a Model Formula (base) |
| model.frame.glm | Extracting the ``Environment'' of a Model Formula (base) |
| model.frame.lm | Extracting the ``Environment'' of a Model Formula (base) |
| model.matrix | Construct Design Matrices (base) |
| model.matrix.default | Construct Design Matrices (base) |
| model.matrix.glm.null | Construct Design Matrices (base) |
| model.matrix.lm | Construct Design Matrices (base) |
| model.matrix.lm.null | Construct Design Matrices (base) |
| model.offset | Extract Components from a Model Frame (base) |
| model.response | Extract Components from a Model Frame (base) |
| model.tables | Compute Tables of Results from an Aov Model Fit. (base) |
| model.tables.aov | Compute Tables of Results from an Aov Model Fit. (base) |
| model.tables.aovlist | Compute Tables of Results from an Aov Model Fit. (base) |
| model.weights | Construct Design Matrices (base) |
| modreg-internal | Internal modreg functions (modreg) |
| month.abb | Built-in Constants (base) |
| month.name | Built-in Constants (base) |
| mosaicplot | Mosaic Plots (base) |
| mosaicplot.default | Mosaic Plots (base) |
| mosaicplot.formula | Mosaic Plots (base) |
| mtcars | Motor Trend Road Tests (base) |
| mtext | Write Text into the Margins of a Plot (base) |
| mvfft | Fast Discrete Fourier Transform (base) |
| NA | Not Available / ``Missing'' Values (base) |
| na.action | NA Action (base) |
| na.action.default | NA Action (base) |
| na.contiguous | NA Handling Routines for Time Series (ts) |
| na.fail | Handle Missing Values in Objects (base) |
| na.fail.default | Handle Missing Values in Objects (base) |
| na.omit | Handle Missing Values in Objects (base) |
| na.omit.default | Handle Missing Values in Objects (base) |
| na.omit.ts | NA Handling Routines for Time Series (ts) |
| name | Variable Names (base) |
| names | The Names Attribute of an Object (base) |
| names.default | The Names Attribute of an Object (base) |
| names.dist | Distance Matrix Computation (mva) |
| names<- | The Names Attribute of an Object (base) |
| names<-.default | The Names Attribute of an Object (base) |
| names<-.dist | Distance Matrix Computation (mva) |
| NaN | Finite, Infinite and NaN Numbers (base) |
| nargs | The Number of Arguments to a Function (base) |
| nchar | Count the Number of Characters (base) |
| NCOL | The Number of Rows/Columns of an Array (base) |
| ncol | The Number of Rows/Columns of an Array (base) |
| NegBinomial | The Negative Binomial Distribution (base) |
| new.env | Environment Access (base) |
| next | Control Flow (base) |
| NextMethod | Class Methods (base) |
| nextn | Highly Composite Numbers (base) |
| nhtemp | Average Yearly Temperatures in New Haven (base) |
| nlevels | The Number of Levels of a Factor (base) |
| nlm | Non-Linear Minimization (base) |
| nls | Nonlinear Least Squares (nls) |
| nls.control | Control the Iterations in nls (nls) |
| nlsModel | Create an nlsModel Object (nls) |
| nlsModel.plinear | Create an nlsModel Object (nls) |
| NLSstAsymptotic | Fit the Asymptotic Regression Model (nls) |
| NLSstAsymptotic.sortedXyData | Fit the Asymptotic Regression Model (nls) |
| NLSstClosestX | Inverse Interpolation (nls) |
| NLSstClosestX.sortedXyData | Inverse Interpolation (nls) |
| NLSstLfAsymptote | Horizontal Asymptote on the Left Side (nls) |
| NLSstLfAsymptote.sortedXyData | Horizontal Asymptote on the Left Side (nls) |
| NLSstRtAsymptote | Horizontal Asymptote on the Right Side (nls) |
| NLSstRtAsymptote.sortedXyData | Horizontal Asymptote on the Right Side (nls) |
| noquote | Class for ``no quote'' Printing of Strings (base) |
| Normal | The Normal Distribution (base) |
| nottem | Average Monthly Temperatures at Nottingham, 1920--1939 (ts) |
| NotYet | Not Yet Implemented Functions and Unused Arguments (base) |
| NotYetImplemented | Not Yet Implemented Functions and Unused Arguments (base) |
| NotYetUsed | Not Yet Implemented Functions and Unused Arguments (base) |
| NROW | The Number of Rows/Columns of an Array (base) |
| nrow | The Number of Rows/Columns of an Array (base) |
| ns | Generate a Basis Matrix for Natural Cubic Splines (splines) |
| NULL | The Null Object (base) |
| numeric | Numeric Vectors (base) |
| objects | List Objects (base) |
| offset | Include an Offset in a Model Formula (base) |
| on.exit | Function Exit Code (base) |
| Ops.data.frame | Internal and Group Methods and Generic Functions (base) |
| Ops.factor | Internal and Group Methods and Generic Functions (base) |
| Ops.ordered | Internal and Group Methods and Generic Functions (base) |
| Ops.ts | Internal ts functions (ts) |
| optimise | One Dimensional Optimization (base) |
| optimize | One Dimensional Optimization (base) |
| options | Options Settings (base) |
| OrchardSprays | Potency of Orchard Sprays (base) |
| order | Ordering Permutation (base) |
| ordered | Factors (base) |
| outer | Outer Product of Arrays (base) |
| pacf | Autocovariance and Autocorrelation Function Estimation (ts) |
| pacf.default | Autocovariance and Autocorrelation Function Estimation (ts) |
| pacf.mts | Autocovariance and Autocorrelation Function Estimation (ts) |
| pacf.ts | Autocovariance and Autocorrelation Function Estimation (ts) |
| package.contents | Package Contents and Description (base) |
| package.description | Package Contents and Description (base) |
| page | Invoke a Pager on an R Object (base) |
| pairlist | Lists -- Generic and Dotted Pairs (base) |
| pairs | Scatterplot Matrices (base) |
| pairs.default | Scatterplot Matrices (base) |
| pairs.formula | Formula Notation for Scatterplot Matrices (base) |
| palette | Set or View the Graphics Palette (base) |
| Palettes | Color Palettes (base) |
| panel.smooth | Simple Panel Plot (base) |
| par | Set or Query Graphical Parameters (base) |
| Paren | Parentheses and Braces (base) |
| parent.frame | Functions to Access the Function Call Stack (base) |
| parse | Parse Expressions (base) |
| parse.dcf | Parse Debian Control File Format (base) |
| paste | Concatenate Strings (base) |
| pbeta | The Beta Distribution (base) |
| pbinom | The Binomial Distribution (base) |
| pcauchy | The Cauchy Distribution (base) |
| pchisq | The (non-central) Chi-Square Distribution (base) |
| pentagamma | Special Functions of Mathematics (base) |
| periodicSpline | Create a Periodic Interpolation Spline (splines) |
| periodicSpline.default | Create a Periodic Interpolation Spline (splines) |
| periodicSpline.formula | Create a Periodic Interpolation Spline (splines) |
| persp | Perspective Plots (base) |
| pexp | The Exponential Distribution (base) |
| pf | The F Distribution (base) |
| pgamma | The Gamma Distribution (base) |
| pgeom | The Geometric Distribution (base) |
| phones | The World's Telephones (base) |
| phyper | The Hypergeometric Distribution (base) |
| pi | Built-in Constants (base) |
| pico | Invoke a Text Editor (base) |
| pictex | A PicTeX Graphics Driver (base) |
| piechart | Pie Charts (base) |
| PlantGrowth | Results from an Experiment on Plant Growth (base) |
| Platform | Platform Specific Variables (base) |
| plnorm | The Log Normal Distribution (base) |
| plogis | The Logistic Distribution (base) |
| plot | Generic X-Y Plotting (base) |
| plot.acf | Autocovariance and Autocorrelation Function Estimation (ts) |
| plot.data.frame | Data Frames (base) |
| plot.default | The Default Scatterplot Function (base) |
| plot.density | Kernel Density Estimation (base) |
| plot.ecdf | Empirical Cumulative Distribution Function (stepfun) |
| plot.factor | Plotting Factor Variables (base) |
| plot.formula | Formula Notation for Scatterplots (base) |
| plot.function | Draw Function Plots (base) |
| plot.hclust | Hierarchical Clustering (mva) |
| plot.lm | Plot Diagnostics for an "lm" Object (base) |
| plot.medpolish | Median Polish of a Matrix (eda) |
| plot.mlm | Accessing Linear Model Fits (base) |
| plot.mts | Time-Series Objects (base) |
| plot.new | Create / Start a New Plot Frame (base) |
| plot.polySpline | Piecewise Polynomial Spline Representation (splines) |
| plot.ppr | Plot Ridge Functions for Projection Pursuit Regression Fit (modreg) |
| plot.prcomp | Principal Components Analysis (mva) |
| plot.princomp | Principal Components Analysis (mva) |
| plot.profile.nls | Plot a profile.nls Object (nls) |
| plot.spec | Spectral Density Estimation (ts) |
| plot.spec.coherency | Spectral Density Estimation (ts) |
| plot.spec.phase | Spectral Density Estimation (ts) |
| plot.spline | Evaluate a spline at new values of x (splines) |
| plot.stepfun | Plot Step Functions (stepfun) |
| plot.stl | Seasonal Decomposition of Time Series by Loess (ts) |
| plot.ts | Time-Series Objects (base) |
| plot.tskernel | Smoothing Kernel Objects (ts) |
| plot.window | Set up World Coordinates for Graphics Window (base) |
| plot.xy | Basic Internal Plot Function (base) |
| plot.xyVector | Construct an xyVector Object (splines) |
| plotmath | Mathematical Annotation in R (base) |
| pmatch | Partial String Matching (base) |
| pmax | Maxima and Minima (base) |
| pmin | Maxima and Minima (base) |
| pnbinom | The Negative Binomial Distribution (base) |
| pnchisq | Defunct Functions (base) |
| pnorm | The Normal Distribution (base) |
| points | Add Points to a Plot (base) |
| points.default | Add Points to a Plot (base) |
| pointwise | Internal modreg functions (modreg) |
| Poisson | The Poisson Distribution (base) |
| poisson | Family Objects for Models (base) |
| poly | Compute Orthogonal Polynomials (base) |
| polygon | Polygon Drawing (base) |
| polyroot | Find Zeros of a Real or Complex Polynomial (base) |
| polySpline | Piecewise Polynomial Spline Representation (splines) |
| polySpline.bSpline | Piecewise Polynomial Spline Representation (splines) |
| polySpline.nbSpline | Piecewise Polynomial Spline Representation (splines) |
| polySpline.pbSpline | Piecewise Polynomial Spline Representation (splines) |
| polySpline.polySpline | Piecewise Polynomial Spline Representation (splines) |
| postscript | PostScript Graphics (base) |
| power | Create a Power Link Object (base) |
| PP.test | Phillips--Perron Unit Root Test (ts) |
| ppoints | Ordinates for Probability Plotting (base) |
| ppois | The Poisson Distribution (base) |
| ppr | Projection Pursuit Regression (modreg) |
| ppr.default | Projection Pursuit Regression (modreg) |
| ppr.formula | Projection Pursuit Regression (modreg) |
| prcomp | Principal Components Analysis (mva) |
| precip | Annual Precipitation in US Cities (base) |
| predict | Model Predictions (base) |
| predict.ar | Fit Autoregressive Models to Time Series (ts) |
| predict.arima0 | ARIMA Modelling of Time Series -- Preliminary Version (ts) |
| predict.bs | Evaluate a Predefined Spline Basis at New Values (splines) |
| predict.bSpline | Evaluate a spline at new values of x (splines) |
| predict.glm | Predict Method for GLM Fits (base) |
| predict.lm | Predicting from Linear Model Fits (base) |
| predict.loess | Predict Loess Curve or Surface (modreg) |
| predict.lqs | Predict from an lqs Fit (lqs) |
| predict.mlm | Predicting from Linear Model Fits (base) |
| predict.nbSpline | Evaluate a spline at new values of x (splines) |
| predict.nls | Predicting from Nonlinear Least Squares Fits (nls) |
| predict.npolySpline | Evaluate a spline at new values of x (splines) |
| predict.ns | Evaluate a Predefined Spline Basis at New Values (splines) |
| predict.pbSpline | Evaluate a spline at new values of x (splines) |
| predict.polySpline | Piecewise Polynomial Spline Representation (splines) |
| predict.ppolySpline | Evaluate a spline at new values of x (splines) |
| predict.ppr | Projection Pursuit Regression (modreg) |
| predict.princomp | Principal Components Analysis (mva) |
| predict.smooth.spline | Predict from Smoothing Spline Fit (modreg) |
| predict.smooth.spline.fit | Fit a Smoothing Spline (modreg) |
| predLoess | Internal modreg functions (modreg) |
| preplot | Pre-computations for a Plotting Objeect (base) |
| presidents | Approval Rating of US Presidents (base) |
| pressure | Vapor Pressure of Mercury as a Function of Temperature (base) |
| pretty | Pretty Breakpoints (base) |
| Primitive | Call a ``Primitive'' Internal Function (base) |
| princomp | Principal Components Analysis (mva) |
| Print Values (base) | |
| print.anova | Anova Tables (base) |
| print.anova.glm | Defunct Functions (base) |
| print.anova.lm | Defunct Functions (base) |
| print.aov | Fit an Analysis of Variance Model (base) |
| print.aovlist | Fit an Analysis of Variance Model (base) |
| print.ar | Fit Autoregressive Models to Time Series (ts) |
| print.arima0 | ARIMA Modelling of Time Series -- Preliminary Version (ts) |
| print.atomic | Default Printing (base) |
| print.bSpline | Create an Interpolation Spline (splines) |
| print.coefmat | Print Coefficient Matrices (base) |
| print.data.frame | Data Frames (base) |
| print.default | Default Printing (base) |
| print.density | Kernel Density Estimation (base) |
| print.dist | Distance Matrix Computation (mva) |
| print.dummy.coef | Extract Coefficients in Original Coding (base) |
| print.dummy.coef.list | Extract Coefficients in Original Coding (base) |
| print.ecdf | Empirical Cumulative Distribution Function (stepfun) |
| print.factor | Print Values (base) |
| print.family | Family Objects for Models (base) |
| print.formula | Model Formulae (base) |
| print.glm | Accessing Generalized Linear Model Fits (base) |
| print.glm.null | Accessing Generalized Linear Model Fits (base) |
| print.htest | Print Values (base) |
| print.infl | Regression Diagnostics (base) |
| print.listof | Print Values (base) |
| print.lm | Accessing Linear Model Fits (base) |
| print.lm.null | Accessing Linear Model Fits (base) |
| print.loess | Local Polynomial Regression Fitting (modreg) |
| print.lqs | Resistant Regression (lqs) |
| print.matrix | Print Matrices (base) |
| print.medpolish | Median Polish of a Matrix (eda) |
| print.mtable | Find Aliases (Dependencies) in a Model (base) |
| print.nls | Nonlinear Least Squares (nls) |
| print.noquote | Class for ``no quote'' Printing of Strings (base) |
| print.ordered | Print Values (base) |
| print.plot | Defunct Functions (base) |
| print.polySpline | Piecewise Polynomial Spline Representation (splines) |
| print.ppolySpline | Create an Interpolation Spline (splines) |
| print.ppr | Projection Pursuit Regression (modreg) |
| print.prcomp | Principal Components Analysis (mva) |
| print.princomp | Principal Components Analysis (mva) |
| print.simple.list | Print Values (base) |
| print.smooth.spline | Fit a Smoothing Spline (modreg) |
| print.socket | Create a Socket Connection (base) |
| print.stepfun | Step Functions (stepfun) |
| print.stl | Seasonal Decomposition of Time Series by Loess (ts) |
| print.summary.aov | Fit an Analysis of Variance Model (base) |
| print.summary.aovlist | Fit an Analysis of Variance Model (base) |
| print.summary.glm | Accessing Generalized Linear Model Fits (base) |
| print.summary.glm.null | Accessing Generalized Linear Model Fits (base) |
| print.summary.lm | Accessing Linear Model Fits (base) |
| print.summary.lm.null | Accessing Linear Model Fits (base) |
| print.summary.loess | Local Polynomial Regression Fitting (modreg) |
| print.summary.nls | Nonlinear Least Squares (nls) |
| print.summary.ppr | Projection Pursuit Regression (modreg) |
| print.summary.prcomp | Principal Components Analysis (mva) |
| print.table | Print Values (base) |
| print.tables.aov | Compute Tables of Results from an Aov Model Fit. (base) |
| print.tabular | Defunct Functions (base) |
| print.terms | Model Terms (base) |
| print.ts | Time-Series Objects (base) |
| print.tskernel | Smoothing Kernel Objects (ts) |
| print.tukeyline | Robust Line Fitting (eda) |
| print.xyVector | Construct an xyVector Object (splines) |
| prmatrix | Print Matrices (base) |
| proc.time | Running Time of R (base) |
| prod | Product of Vector Elements (base) |
| profile | Generic Function for Profiling Models (base) |
| profile.nls | Method for Profiling nls Objects (nls) |
| profiler | Constructor for Profiler Objects for Non-Linear Models (nls) |
| profiler.nls | Constructor for Profiler Objects from nls Objects (nls) |
| proj | Projections of Models (base) |
| proj.aov | Projections of Models (base) |
| proj.aovlist | Projections of Models (base) |
| proj.default | Projections of Models (base) |
| proj.lm | Projections of Models (base) |
| prompt | Produce Prototype of an R Documentation File (base) |
| prompt.data.frame | Produce Prototype of an R Documentation File (base) |
| prompt.default | Produce Prototype of an R Documentation File (base) |
| prop.test | Test for Equal or Given Proportions (base) |
| provide | Loading and Listing of Packages (base) |
| ps.options | PostScript Graphics (base) |
| psignrank | Distribution of the Wilcoxon Signed Rank Statistic (base) |
| pt | The Student t Distribution (base) |
| ptukey | The Studentized Range Distribution (base) |
| punif | The Uniform Distribution (base) |
| pweibull | The Weibull Distribution (base) |
| pwilcox | Distribution of the Wilcoxon Rank Sum Statistic (base) |
| q | Terminate an R Session (base) |
| qbeta | The Beta Distribution (base) |
| qbinom | The Binomial Distribution (base) |
| qcauchy | The Cauchy Distribution (base) |
| qchisq | The (non-central) Chi-Square Distribution (base) |
| qexp | The Exponential Distribution (base) |
| qf | The F Distribution (base) |
| qgamma | The Gamma Distribution (base) |
| qgeom | The Geometric Distribution (base) |
| qhyper | The Hypergeometric Distribution (base) |
| qlnorm | The Log Normal Distribution (base) |
| qlogis | The Logistic Distribution (base) |
| qnbinom | The Negative Binomial Distribution (base) |
| qnchisq | Defunct Functions (base) |
| qnorm | The Normal Distribution (base) |
| qpois | The Poisson Distribution (base) |
| qqline | Quantile-Quantile Plots (base) |
| qqnorm | Quantile-Quantile Plots (base) |
| qqplot | Quantile-Quantile Plots (base) |
| qr | The QR Decomposition of a Matrix (base) |
| QR.Auxiliaries | Reconstruct the Q, R, or X Matrices from a QR Object (base) |
| qr.coef | The QR Decomposition of a Matrix (base) |
| qr.fitted | The QR Decomposition of a Matrix (base) |
| qr.Q | Reconstruct the Q, R, or X Matrices from a QR Object (base) |
| qr.qty | The QR Decomposition of a Matrix (base) |
| qr.qy | The QR Decomposition of a Matrix (base) |
| qr.R | Reconstruct the Q, R, or X Matrices from a QR Object (base) |
| qr.resid | The QR Decomposition of a Matrix (base) |
| qr.solve | The QR Decomposition of a Matrix (base) |
| qr.X | Reconstruct the Q, R, or X Matrices from a QR Object (base) |
| qsignrank | Distribution of the Wilcoxon Signed Rank Statistic (base) |
| qt | The Student t Distribution (base) |
| qtukey | The Studentized Range Distribution (base) |
| quakes | Locations of Earthquakes off Fiji (base) |
| quantile | Sample Quantiles (base) |
| quantile.default | Sample Quantiles (base) |
| quasi | Family Objects for Models (base) |
| quit | Terminate an R Session (base) |
| qunif | The Uniform Distribution (base) |
| quote | Substituting and Quoting Expressions (base) |
| qweibull | The Weibull Distribution (base) |
| qwilcox | Distribution of the Wilcoxon Rank Sum Statistic (base) |
| R.home | Return the R Home Directory (base) |
| R.Version | Version Information (base) |
| R.version | Version Information (base) |
| R.version.string | Version Information (base) |
| rainbow | Color Palettes (base) |
| Random | Random Number Generation (base) |
| randu | Random Numbers from Congruential Generator (base) |
| range | Range of Values (base) |
| range.default | Range of Values (base) |
| rank | Sample Ranks (base) |
| rbeta | The Beta Distribution (base) |
| rbind | Combine Columns/Rows into a Matrix (base) |
| rbind.data.frame | Combine Columns/Rows into a Matrix (base) |
| rbinom | The Binomial Distribution (base) |
| rcauchy | The Cauchy Distribution (base) |
| rchisq | The (non-central) Chi-Square Distribution (base) |
| Re | Complex Vectors (base) |
| read.fwf | Read Fixed Width Format Files (base) |
| read.socket | Read from or Write to a Socket (base) |
| read.table | Data Input (base) |
| read.table.url | Read Data and Code from a Web Server (base) |
| readline | Read a Line from the Terminal (base) |
| real | Real Vectors (base) |
| Recall | Recursive Calling (base) |
| rect | Draw a Rectangle (base) |
| reformulate | Modify Terms Objects (base) |
| regexpr | Pattern Matching and Replacement (base) |
| relevel | Reorder Levels of Factor (base) |
| relevel.default | Reorder Levels of Factor (base) |
| relevel.factor | Reorder Levels of Factor (base) |
| relevel.ordered | Reorder Levels of Factor (base) |
| REMOVE | Remove Add-on Packages (base) |
| remove | Remove Objects from a Specified Environment (base) |
| rep | Replicate Elements (base) |
| repeat | Control Flow (base) |
| replace | Replace Values in a Vector (base) |
| replications | Number of Replications of Terms (base) |
| require | Loading and Listing of Packages (base) |
| resid | Extract Model Residuals (base) |
| residuals | Extract Model Residuals (base) |
| residuals.default | Extract Model Residuals (base) |
| residuals.glm | Accessing Generalized Linear Model Fits (base) |
| residuals.lm | Accessing Linear Model Fits (base) |
| residuals.lqs | Resistant Regression (lqs) |
| residuals.nls | Nonlinear Least Squares (nls) |
| residuals.tukeyline | Robust Line Fitting (eda) |
| restart | Restart an Expression (base) |
| return | Function Definition (base) |
| rev | Reverse a Vector's Elements (base) |
| rexp | The Exponential Distribution (base) |
| rf | The F Distribution (base) |
| rgamma | The Gamma Distribution (base) |
| rgb | RGB Color Specification (base) |
| rgeom | The Geometric Distribution (base) |
| RHOME | R Home Directory (base) |
| rhyper | The Hypergeometric Distribution (base) |
| rivers | Lengths of Major North American Rivers (base) |
| rle | Run Length Encoding (base) |
| rlnorm | The Log Normal Distribution (base) |
| rlogis | The Logistic Distribution (base) |
| rm | Remove Objects from a Specified Environment (base) |
| rnbinom | The Negative Binomial Distribution (base) |
| rnchisq | Defunct Functions (base) |
| RNG | Random Number Generation (base) |
| RNGkind | Random Number Generation (base) |
| rnorm | The Normal Distribution (base) |
| rock | Measurements on Petroleum Rock Samples (modreg) |
| Round | Rounding of Numbers (base) |
| round | Rounding of Numbers (base) |
| row | Row Indexes (base) |
| row.names | Data Frames (base) |
| row.names<- | Data Frames (base) |
| row/colnames | Row and Columnn Names (base) |
| rownames | Row and Columnn Names (base) |
| rownames<- | Row and Columnn Names (base) |
| rowsum | Give Row Sums of a Matrix, Based on a Grouping Variable (base) |
| rpois | The Poisson Distribution (base) |
| Rprofile | Initialization at Start of an R Session (base) |
| rsignrank | Distribution of the Wilcoxon Signed Rank Statistic (base) |
| rstandard | Regression Diagnostics (base) |
| rstudent | Regression Diagnostics (base) |
| rt | The Student t Distribution (base) |
| rug | Add a Rug to a Plot (base) |
| runif | The Uniform Distribution (base) |
| rweibull | The Weibull Distribution (base) |
| rwilcox | Distribution of the Wilcoxon Rank Sum Statistic (base) |
| R_HOME | R Home Directory (base) |
| R_LIBS | Loading and Listing of Packages (base) |
| sample | Random Samples and Permutations (base) |
| sapply | Apply a Function over a List or Vector (base) |
| save | Save R Objects (base) |
| save.image | Save R Objects (base) |
| save.plot | Defunct Functions (base) |
| scale | Scaling and Centering of Matrices (base) |
| scan | Read Data Values (base) |
| scan.url | Read Data and Code from a Web Server (base) |
| scatter.smooth | Scatter Plot with Smooth Curve Fitted by Loess (modreg) |
| screen | Creating and Controlling Multiple Screens on a Single Device (base) |
| screeplot | Principal Components Analysis (mva) |
| sd | Standard Deviation (base) |
| se.aov | Internal Functions Used by model.tables (base) |
| se.aovlist | Internal Functions Used by model.tables (base) |
| se.contrast | Standard Errors for Contrasts in Model Terms (base) |
| se.contrast.aov | Standard Errors for Contrasts in Model Terms (base) |
| se.contrast.aovlist | Standard Errors for Contrasts in Model Terms (base) |
| search | Give Search Path for R Objects (base) |
| segments | Add Line Segments to a Plot (base) |
| selfStart | Construct Self-starting Nonlinear Models (nls) |
| selfStart.default | Construct Self-starting Nonlinear Models (nls) |
| selfStart.formula | Construct Self-starting Nonlinear Models (nls) |
| seq | Sequence Generation (base) |
| seq.default | Sequence Generation (base) |
| sequence | Create A Vector of Sequences (base) |
| setdiff | Set Operations (base) |
| setNames | Set the Names in an Object (nls) |
| sets | Set Operations (base) |
| setwd | Get or Set Working Directory (base) |
| SHLIB | Build Shared Library for Dynamic Loading (base) |
| show.data | Data Sets (base) |
| sign | Sign Function (base) |
| signif | Rounding of Numbers (base) |
| SignRank | Distribution of the Wilcoxon Signed Rank Statistic (base) |
| simpleLoess | Internal modreg functions (modreg) |
| sin | Trigonometric Functions (base) |
| single | Double Precision Vectors (base) |
| sinh | Hyperbolic Functions (base) |
| sink | Send R Output to a File (base) |
| sleep | Students' Sleep Data (base) |
| smooth | Median Smoothing (eda) |
| smooth.spline | Fit a Smoothing Spline (modreg) |
| solve | Solve a System of Equations (base) |
| solve.default | Solve a System of Equations (base) |
| solve.qr | Solve a System of Equations (base) |
| sort | Sort a Vector (base) |
| sort.list | Ordering Permutation (base) |
| sortedXyData | Create a sortedXyData object (nls) |
| sortedXyData.default | Create a sortedXyData object (nls) |
| source | Redirect Input (base) |
| source.url | Read Data and Code from a Web Server (base) |
| spec | Spectral Density Estimation (ts) |
| spec.ar | Estimate Spectral Density of a Time Series from AR Fit (ts) |
| spec.pgram | Estimate Spectral Density of a Time Series from Smoothed Periodogram (ts) |
| spec.taper | Taper a Time Series (ts) |
| Special | Special Functions of Mathematics (base) |
| spectrum | Spectral Density Estimation (ts) |
| spline | Interpolating Splines (base) |
| spline.des | Design Matrix for B-splines (splines) |
| splineDesign | Design Matrix for B-splines (splines) |
| splinefun | Interpolating Splines (base) |
| splineKnots | Knot Vector from a Spline (splines) |
| splineKnots.spline | Knot Vector from a Spline (splines) |
| splineOrder | Determine the Order of a Spline (splines) |
| splineOrder.bSpline | Determine the Order of a Spline (splines) |
| splineOrder.polySpline | Determine the Order of a Spline (splines) |
| spline[fun] | Interpolating Splines (base) |
| split | Divide into Groups (base) |
| split.data.frame | Divide into Groups (base) |
| split.default | Divide into Groups (base) |
| split.screen | Creating and Controlling Multiple Screens on a Single Device (base) |
| sqrt | Miscellaneous Mathematical Functions (base) |
| SSasymp | Asymptotic Regression Model (nls) |
| SSasympOff | Asymptotic Regression Model with an Offset (nls) |
| SSasympOrig | Asymptotic Regression Model through the Origin (nls) |
| SSbiexp | Biexponential model (nls) |
| SSfol | First-order Compartment Model (nls) |
| SSfpl | Four-parameter Logistic Model (nls) |
| SSlogis | Logistic Model (nls) |
| SSmicmen | Michaelis-Menten Model (nls) |
| stackloss | Brownlee's Stack Loss Plant Data (base) |
| stars | Star Plots and Segment Diagrams of Multivariate Data (base) |
| start | Encode the Terminal Times of Time Series (base) |
| start.default | Encode the Terminal Times of Time Series (base) |
| Startup | Initialization at Start of an R Session (base) |
| stat.anova | GLM Anova Statistics (base) |
| state | States of the U.S.A. (base) |
| state.abb | States of the U.S.A. (base) |
| state.area | States of the U.S.A. (base) |
| state.center | States of the U.S.A. (base) |
| state.division | States of the U.S.A. (base) |
| state.name | States of the U.S.A. (base) |
| state.region | States of the U.S.A. (base) |
| state.x77 | States of the U.S.A. (base) |
| stem | Stem-and-Leaf Plots (base) |
| step | Choose a model by AIC in a Stepwise Algorithm (base) |
| stepfun | Step Functions (stepfun) |
| stl | Seasonal Decomposition of Time Series by Loess (ts) |
| stop | Stop Function Execution (base) |
| storage.mode | The (Storage) Mode of an Object (base) |
| storage.mode<- | The (Storage) Mode of an Object (base) |
| str | Compactly Display the Structure of an Arbitrary R Object (base) |
| str.data.frame | Compactly Display the Structure of an Arbitrary R Object (base) |
| str.default | Compactly Display the Structure of an Arbitrary R Object (base) |
| strheight | Plotting Dimensions of Character Strings and Math Expressions (base) |
| stripplot | 1-D Scatter Plots (base) |
| strsplit | Split the Strings in a Vector (base) |
| structure | Attribute Specification (base) |
| strwidth | Plotting Dimensions of Character Strings and Math Expressions (base) |
| sub | Pattern Matching and Replacement (base) |
| Subscript | Extract or Replace Parts of an Object (base) |
| subset | Subsetting Vectors and Data Frames (base) |
| subset.data.frame | Subsetting Vectors and Data Frames (base) |
| subset.default | Subsetting Vectors and Data Frames (base) |
| substitute | Substituting and Quoting Expressions (base) |
| substr | Extract Substrings from a Character Vector (base) |
| substring | Extract Substrings from a Character Vector (base) |
| sum | Sum of Vector Elements (base) |
| summary | Object Summaries (base) |
| summary.aov | Fit an Analysis of Variance Model (base) |
| summary.aovlist | Fit an Analysis of Variance Model (base) |
| Summary.data.frame | Internal and Group Methods and Generic Functions (base) |
| summary.data.frame | Object Summaries (base) |
| summary.default | Object Summaries (base) |
| summary.ecdf | Empirical Cumulative Distribution Function (stepfun) |
| Summary.factor | Internal and Group Methods and Generic Functions (base) |
| summary.factor | Object Summaries (base) |
| summary.glm | Accessing Generalized Linear Model Fits (base) |
| summary.glm.null | Accessing Generalized Linear Model Fits (base) |
| summary.infl | Regression Diagnostics (base) |
| summary.lm | Accessing Linear Model Fits (base) |
| summary.lm.null | Accessing Linear Model Fits (base) |
| summary.loess | Local Polynomial Regression Fitting (modreg) |
| summary.matrix | Object Summaries (base) |
| summary.mlm | Accessing Linear Model Fits (base) |
| summary.nls | Nonlinear Least Squares (nls) |
| summary.ppr | Projection Pursuit Regression (modreg) |
| summary.prcomp | Principal Components Analysis (mva) |
| summary.princomp | Principal Components Analysis (mva) |
| summary.stepfun | Step Functions (stepfun) |
| sunflowerplot | Produce a Sunflower Scatter Plot (base) |
| sunspot | Yearly Sunspot Data, 1700--1988. Monthly Sunspot Data, 1749--1997. (ts) |
| sunspot.month | Yearly Sunspot Data, 1700--1988. Monthly Sunspot Data, 1749--1997. (ts) |
| sunspot.year | Yearly Sunspot Data, 1700--1988. Monthly Sunspot Data, 1749--1997. (ts) |
| sunspots | Monthly Mean Relative Sunspot Numbers (base) |
| supsmu | Friedman's SuperSmoother (modreg) |
| svd | Singular Value Decomposition of a Matrix (base) |
| sweep | Sweep out Array Summaries (base) |
| swiss | Swiss Fertility and Socioeconomic Indicators (1888) Data (base) |
| switch | Select One of a List of Alternatives (base) |
| symbol.C | Foreign Function Interface (base) |
| symbol.For | Foreign Function Interface (base) |
| symbols | Not Yet Implemented Functions and Unused Arguments (base) |
| symnum | Symbolic Number Coding (base) |
| sys.call | Functions to Access the Function Call Stack (base) |
| sys.calls | Functions to Access the Function Call Stack (base) |
| sys.frame | Functions to Access the Function Call Stack (base) |
| sys.frames | Functions to Access the Function Call Stack (base) |
| sys.function | Functions to Access the Function Call Stack (base) |
| sys.nframe | Functions to Access the Function Call Stack (base) |
| sys.on.exit | Functions to Access the Function Call Stack (base) |
| sys.parent | Functions to Access the Function Call Stack (base) |
| sys.parents | Functions to Access the Function Call Stack (base) |
| sys.status | Functions to Access the Function Call Stack (base) |
| system | Invoke a System Command (base) |
| system.file | Find Names of R System Files (base) |
| system.test | Defunct Functions (base) |
| system.time | CPU Time Used (base) |
| T | Logical Vectors (base) |
| t | Matrix Transpose (base) |
| t.data.frame | Matrix Transpose (base) |
| t.default | Matrix Transpose (base) |
| t.test | Student's t-Test (base) |
| table | Cross Tabulation (base) |
| tabulate | Tabulation for Vectors (base) |
| tan | Trigonometric Functions (base) |
| tanh | Hyperbolic Functions (base) |
| tapply | Apply a Function Over a ``Ragged'' Array (base) |
| TDist | The Student t Distribution (base) |
| tempfile | Create Unique Names for (Temporary) Files (base) |
| terms | Model Terms (base) |
| terms.aovlist | Model Terms (base) |
| terms.default | Model Terms (base) |
| terms.formula | Model Terms (base) |
| terms.terms | Model Terms (base) |
| terrain.colors | Color Palettes (base) |
| tetragamma | Special Functions of Mathematics (base) |
| text | Add Text to a Plot (base) |
| text.default | Add Text to a Plot (base) |
| time | Sampling Times of Time Series (base) |
| time.default | Sampling Times of Time Series (base) |
| time.ts | Sampling Times of Time Series (base) |
| Titanic | Survival of passengers on the Titanic (base) |
| title | Plot Annotation (base) |
| toeplitz | Form Symmetric Toeplitz Matrix (ts) |
| ToothGrowth | The Effect of Vitamin C on Tooth Growth in Guinea Pigs (base) |
| topo.colors | Color Palettes (base) |
| trace | Trace All Calls to a Function. (base) |
| traceback | Print Call Stack of Last Error (base) |
| transform | Transform an Object, e.g. a Data Frame (base) |
| transform.data.frame | Transform an Object, e.g. a Data Frame (base) |
| transform.default | Transform an Object, e.g. a Data Frame (base) |
| treering | Yearly Treering Data, -6000--1979. (ts) |
| trees | Girth, Height and Volume for Black Cherry Trees (base) |
| Trig | Trigonometric Functions (base) |
| trigamma | Special Functions of Mathematics (base) |
| TRUE | Logical Vectors (base) |
| trunc | Rounding of Numbers (base) |
| trunc.default | Rounding of Numbers (base) |
| ts | Time-Series Objects (base) |
| ts-internal | Internal ts functions (ts) |
| ts.intersect | Bind Two or More Time Series (ts) |
| ts.plot | Plot Multiple Time Series (ts) |
| ts.union | Bind Two or More Time Series (ts) |
| tsp | Tsp Attribute of Time-Series-like Objects (base) |
| tsp<- | Tsp Attribute of Time-Series-like Objects (base) |
| Tukey | The Studentized Range Distribution (base) |
| typeof | The Type of an Object (base) |
| UCBAdmissions | Student Admissions at UC Berkeley (base) |
| UKDriverDeaths | Deaths of Car Drivers in Great Britain 1969--84 (ts) |
| UKLungDeaths | Monthly Deaths from Lung Diseases in the UK (ts) |
| unclass | Object Classes (base) |
| undebug | Debug a function (base) |
| undoc | Find Undocumented Objects (base) |
| Uniform | The Uniform Distribution (base) |
| union | Set Operations (base) |
| unique | Extract Unique Elements (base) |
| uniroot | One Dimensional Root Finding (base) |
| units | Graphical Units (base) |
| unix | Invoke a System Command (base) |
| unix.time | CPU Time Used (base) |
| unlink | Delete Files and Directories (base) |
| unlist | Flatten Lists (base) |
| unname | Remove `names' or `dimnames' (base) |
| untrace | Trace All Calls to a Function. (base) |
| update | Update and Re-fit a Model Call (base) |
| update.default | Update and Re-fit a Model Call (base) |
| update.formula | Model Updating (base) |
| update.packages | Download Packages from CRAN (base) |
| upper.tri | Lower and Upper Triangular Part of a Matrix (base) |
| url.show | Read Data and Code from a Web Server (base) |
| USAccdeaths | Accidental Deaths in the US 1973--1978 (ts) |
| USArrests | Violent Crime Rates by US State (base) |
| UseMethod | Class Methods (base) |
| USJudgeRatings | Lawyers' Ratings of State Judges in the US Superior Court (base) |
| USPersonalExpenditure | Personal Expenditure Data (base) |
| uspop | The Population of the United States (base) |
| VADeaths | Death Rate Data (base) |
| var | Covariance Matrices (base) |
| variable.names | Case and Variable Names of Fitted Models (base) |
| variable.names.default | Case and Variable Names of Fitted Models (base) |
| variable.names.lm | Case and Variable Names of Fitted Models (base) |
| vector | Vectors (base) |
| Version | Defunct Functions (base) |
| version | Version Information (base) |
| vi | Invoke a Text Editor (base) |
| volcano | Topographic Information for the Maunga Whau Volcano (base) |
| warning | Warning Messages (base) |
| warnings | Print Warning Messages (base) |
| warpbreaks | The Number of Breaks in Yarn during Weaving (base) |
| Weibull | The Weibull Distribution (base) |
| weighted.mean | Weighted Arithmetic Mean (base) |
| weighted.residuals | Computed Weighted Residuals (base) |
| weights | Accessing Linear Model Fits (base) |
| weights.default | Accessing Linear Model Fits (base) |
| weights.lm | Accessing Linear Model Fits (base) |
| weights.nls | Nonlinear Least Squares (nls) |
| which | Which indices are TRUE ? (base) |
| while | Control Flow (base) |
| Wilcoxon | Distribution of the Wilcoxon Rank Sum Statistic (base) |
| window | Time Windows (base) |
| window.default | Time Windows (base) |
| window.ts | Time Windows (base) |
| women | Average Heights and Weights for American Women (base) |
| write | Write Data to a File (base) |
| write.socket | Read from or Write to a Socket (base) |
| write.table | Data Output (base) |
| X11 | X Window System Graphics (base) |
| x11 | X Window System Graphics (base) |
| xedit | Invoke a Text Editor (base) |
| xemacs | Invoke a Text Editor (base) |
| xinch | Graphical Units (base) |
| xor | Logical Operators (base) |
| xpdrows.data.frame | Data Frames (base) |
| xy.coords | Extracting Plotting Structures (base) |
| xyinch | Graphical Units (base) |
| xyVector | Construct an xyVector Object (splines) |
| yinch | Graphical Units (base) |
| zapsmall | Rounding of Numbers (base) |
| zip.file.extract | Extract File from a Zip Archive (base) |