| acf |
Auto- and Cross- Covariance and -Correlation Function Estimation |
| acf2AR |
Compute an AR Process Exactly Fitting an ACF |
| anova.glm |
Analysis of Deviance for Generalized Linear Model Fits |
| approxfun |
Interpolation Functions |
| aggregate |
Compute Summary Statistics of Data Subsets |
| anova |
Anova Tables |
| addmargins |
Puts Arbitrary Margins on Multidimensional Tables or Arrays
|
| add1 |
Add or Drop All Possible Single Terms to a Model |
| anova.lm |
ANOVA for Linear Model Fits |
| AIC |
Akaike's An Information Criterion |
| bartlett.test |
Bartlett Test of Homogeneity of Variances |
| binom.test |
Exact Binomial Test |
| ARMAtoMA |
Convert ARMA Process to Infinite MA Process |
| ARMAacf |
Compute Theoretical ACF for an ARMA Process |
| arima.sim |
Simulate from an ARIMA Model |
| ar |
Fit Autoregressive Models to Time Series |
| arima |
ARIMA Modelling of Time Series |
| asOneSidedFormula |
Convert to One-Sided Formula |
| arima0 |
ARIMA Modelling of Time Series -- Preliminary Version |
| ave |
Group Averages Over Level Combinations of Factors |
| case+variable.names |
Case and Variable Names of Fitted Models |
| .checkMFClasses |
Functions to Check the Type of Variables passed to Model Frames |
| Cauchy |
The Cauchy Distribution |
| birthday |
Probability of coincidences |
| biplot.princomp |
Biplot for Principal Components
|
| chisq.test |
Pearson's Chi-squared Test for Count Data |
| biplot |
Biplot of Multivariate Data |
| Binomial |
The Binomial Distribution |
| coef |
Extract Model Coefficients |
| Chisquare |
The (non-central) Chi-Squared Distribution |
| cutree |
Cut a Tree into Groups of Data |
| delete.response |
Modify Terms Objects |
| constrOptim |
Linearly Constrained Optimization |
| complete.cases |
Find Complete Cases |
| dendrapply |
Apply a Function to All Nodes of a Dendrogram |
| density |
Kernel Density Estimation |
| diffinv |
Discrete Integration: Inverse of Differencing |
| df.residual |
Residual Degrees-of-Freedom |
| cov.wt |
Weighted Covariance Matrices |
| convolve |
Convolution of Sequences via FFT |
| Distributions |
Distributions in the stats package |
| dummy.coef |
Extract Coefficients in Original Coding |
| ecdf |
Empirical Cumulative Distribution Function |
| deviance |
Model Deviance |
| deriv |
Symbolic and Algorithmic Derivatives of Simple Expressions |
| FDist |
The F Distribution |
| eff.aovlist |
Compute Efficiencies of Multistratum Analysis of Variance |
| filter |
Linear Filtering on a Time Series |
| ftable.formula |
Formula Notation for Flat Contingency Tables |
| ftable |
Flat Contingency Tables |
| effects |
Effects from Fitted Model |
| Geometric |
The Geometric Distribution |
| fivenum |
Tukey Five-Number Summaries |
| fitted |
Extract Model Fitted Values |
| embed |
Embedding a Time Series |
| glm.control |
Auxiliary for Controlling GLM Fitting |
| getInitial |
Get Initial Parameter Estimates |
| glm.summaries |
Accessing Generalized Linear Model Fits |
| line |
Robust Line Fitting |
| lag.plot |
Time Series Lag Plots |
| expand.model.frame |
Add new variables to a model frame |
| fligner.test |
Fligner-Killeen Test of Homogeneity of Variances |
| factor.scope |
Compute Allowed Changes in Adding to or Dropping from a Formula |
| identify.hclust |
Identify Clusters in a Dendrogram |
| formula |
Model Formulae |
| influence.measures |
Regression Deletion Diagnostics |
| lsfit |
Find the Least Squares Fit |
| lag |
Lag a Time Series |
| ks.test |
Kolmogorov-Smirnov Tests |
| mahalanobis |
Mahalanobis Distance |
| monthplot |
Plot a Seasonal or other Subseries from a Time Series
|
| mood.test |
Mood Two-Sample Test of Scale |
| listof |
A Class for Lists of (Parts of) Model Fits |
| lm.influence |
Regression Diagnostics |
| manova |
Multivariate Analysis of Variance |
| ls.print |
Print lsfit Regression Results |
| naprint |
Adjust for Missing Values
|
| mantelhaen.test |
Cochran-Mantel-Haenszel Chi-Squared Test for Count Data |
| ls.diag |
Compute Diagnostics for lsfit Regression Results |
| NegBinomial |
The Negative Binomial Distribution |
| nls.control |
Control the Iterations in nls |
| NLSstClosestX |
Inverse Interpolation |
| NLSstLfAsymptote |
Horizontal Asymptote on the Left Side |
| pairwise.wilcox.test |
Pairwise Wilcoxon Rank Sum Tests |
| pairwise.table |
Tabulate p values for pairwise comparisons |
| integrate |
Integration of One-Dimensional Functions |
| friedman.test |
Friedman Rank Sum Test |
| formula.nls |
Extract Model Formula from nls Object |
| KalmanLike |
Kalman Filtering |
| interaction.plot |
Two-way Interaction Plot |
| kernapply |
Apply Smoothing Kernel |
| loess |
Local Polynomial Regression Fitting |
| Logistic |
The Logistic Distribution |
| plot.density |
Plot Method for Kernel Density Estimation |
| plot.acf |
Plot Autocovariance and Autocorrelation Functions |
| r2dtable |
Random 2-way Tables with Given Marginals |
| quade.test |
Quade Test |
| ppoints |
Ordinates for Probability Plotting |
| prcomp |
Principal Components Analysis |
| scatter.smooth |
Scatter Plot with Smooth Curve Fitted by Loess |
| screeplot |
Screeplots |
| smoothEnds |
End Points Smoothing (for Running Medians) |
| IQR |
The Interquartile Range |
| is.empty.model |
Test if a Model's Formula is Empty |
| HoltWinters |
Holt-Winters Filtering |
| sortedXyData |
Create a sortedXyData Object |
| lm.fit |
Fitter Functions for Linear Models |
| lm.summaries |
Accessing Linear Model Fits |
| Hypergeometric |
The Hypergeometric Distribution |
| make.link |
Create a Link for GLM Families |
| makepredictcall |
Utility Function for Safe Prediction |
| na.contiguous |
Find Longest Contiguous Stretch of non-NAs |
| na.fail |
Handle Missing Values in Objects |
| lowess |
Scatter Plot Smoothing |
| Lognormal |
The Log Normal Distribution |
| medpolish |
Median Polish of a Matrix |
| median |
Median Value |
| nextn |
Highly Composite Numbers |
| na.action |
NA Action |
| Multinom |
The Multinomial Distribution |
| nlm |
Non-Linear Minimization |
| plot.ppr |
Plot Ridge Functions for Projection Pursuit Regression Fit
|
| pairwise.prop.test |
Pairwise comparisons for proportions |
| pairwise.t.test |
Pairwise t tests |
| power.prop.test |
Power Calculations for Two-Sample Test for Proportions |
| predict.smooth.spline |
Predict from Smoothing Spline Fit |
| power |
Create a Power Link Object |
| plot.profile.nls |
Plot a profile.nls Object |
| read.ftable |
Manipulate Flat Contingency Tables |
| preplot |
Pre-computations for a Plotting Object |
| rect.hclust |
Draw Rectangles Around Hierarchical Clusters |
| poisson.test |
Exact Poisson tests |
| predict.lm |
Predict method for Linear Model Fits |
| predict |
Model Predictions |
| power.anova.test |
Power Calculations for Balanced One-Way Analysis of Variance Tests |
| prop.trend.test |
Test for trend in proportions |
| profile.nls |
Method for Profiling nls Objects |
| rWishart |
Random Wishart Distributed Matrices |
| runmed |
Running Medians -- Robust Scatter Plot Smoothing |
| qqnorm |
Quantile-Quantile Plots |
| spectrum |
Spectral Density Estimation |
| SSasympOrig |
Self-Starting Nls Asymptotic Regression Model through the Origin |
| terms |
Model Terms |
| start |
Encode the Terminal Times of Time Series |
| SSweibull |
Self-Starting Nls Weibull Growth Curve Model |
| SSbiexp |
Self-Starting Nls Biexponential model |
| loadings |
Print Loadings in Factor Analysis |
| loess.control |
Set Parameters for Loess |
| var.test |
F Test to Compare Two Variances |
| time |
Sampling Times of Time Series |
| mcnemar.test |
McNemar's Chi-squared Test for Count Data |
| order.dendrogram |
Ordering or Labels of the Leaves in a Dendrogram |
| model.tables |
Compute Tables of Results from an Aov Model Fit |
| nobs |
Extract the Number of Observations from a Fit.
|
| NLSstAsymptotic |
Fit the Asymptotic Regression Model |
| optimize |
One Dimensional Optimization |
| p.adjust |
Adjust P-values for Multiple Comparisons |
| predict.HoltWinters |
Prediction Function for Fitted Holt-Winters Models |
| plot.isoreg |
Plot Method for isoreg Objects |
| prop.test |
Test of Equal or Given Proportions |
| reorder.default |
Reorder Levels of a Factor |
| plot.spec |
Plotting Spectral Densities |
| printCoefmat |
Print Coefficient Matrices |
| plot.stepfun |
Plot Step Functions |
| print.power.htest |
Print method for power calculation object |
| PP.test |
Phillips-Perron Test for Unit Roots |
| power.t.test |
Power calculations for one and two sample t tests |
| print.ts |
Printing and Formatting of Time-Series Objects |
| smooth.spline |
Fit a Smoothing Spline |
| smooth |
Tukey's (Running Median) Smoothing |
| SSasymp |
Self-Starting Nls Asymptotic Regression Model |
| splinefun |
Interpolating Splines |
| Normal |
The Normal Distribution |
| plot.ts |
Plotting Time-Series Objects |
| numericDeriv |
Evaluate Derivatives Numerically |
| predict.loess |
Predict Loess Curve or Surface |
| Poisson |
The Poisson Distribution |
| predict.nls |
Predicting from Nonlinear Least Squares Fits |
| relevel |
Reorder Levels of Factor |
| reorder.dendrogram |
Reorder a Dendrogram |
| selfStart |
Construct Self-starting Nonlinear Models |
| oneway.test |
Test for Equal Means in a One-Way Layout |
| NLSstRtAsymptote |
Horizontal Asymptote on the Right Side |
| model.matrix |
Construct Design Matrices |
| mauchly.test |
Mauchly's Test of Sphericity |
| varimax |
Rotation Methods for Factor Analysis |
| plot.HoltWinters |
Plot function for HoltWinters objects |
| predict.glm |
Predict Method for GLM Fits |
| replications |
Number of Replications of Terms |
| se.contrast |
Standard Errors for Contrasts in Model Terms |
| sd |
Standard Deviation |
| SignRank |
Distribution of the Wilcoxon Signed Rank Statistic |
| shapiro.test |
Shapiro-Wilk Normality Test |
| SSfol |
Self-Starting Nls First-order Compartment Model |
| summary.aov |
Summarize an Analysis of Variance Model |
| SSD |
SSD Matrix and Estimated Variance Matrix in Multivariate Models |
| summary.glm |
Summarizing Generalized Linear Model Fits |
| tsSmooth |
Use Fixed-Interval Smoothing on Time Series |
| proj |
Projections of Models |
| Tukey |
The Studentized Range Distribution |
| Uniform |
The Uniform Distribution |
| setNames |
Set the Names in an Object |
| uniroot |
One Dimensional Root (Zero) Finding |
| stepfun |
Step Functions - Creation and Class |
| SSmicmen |
Self-Starting Nls Michaelis-Menten Model |
| SSlogis |
Self-Starting Nls Logistic Model |
| stl |
Seasonal Decomposition of Time Series by Loess |
| summary.nls |
Summarizing Non-Linear Least-Squares Model Fits |
| toeplitz |
Form Symmetric Toeplitz Matrix |
| summary.princomp |
Summary method for Principal Components Analysis |
| ts-methods |
Methods for Time Series Objects |
| SSfpl |
Self-Starting Nls Four-Parameter Logistic Model |
| StructTS |
Fit Structural Time Series |
| SSgompertz |
Self-Starting Nls Gompertz Growth Model |
| stlmethods |
Methods for STL Objects |
| TDist |
The Student t Distribution |
| weighted.mean |
Weighted Arithmetic Mean |
| Weibull |
The Weibull Distribution |
| terms.formula |
Construct a terms Object from a Formula |
| Wilcoxon |
Distribution of the Wilcoxon Rank Sum Statistic |
| window |
Time Windows |
| weights |
Extract Model Weights |
| weighted.residuals |
Compute Weighted Residuals |
| C |
Sets Contrasts for a Factor |
| SSasympOff |
Self-Starting Nls Asymptotic Regression Model with an Offset |
| stats-package |
The R Stats Package
|
| symnum |
Symbolic Number Coding |
| stats-deprecated |
Deprecated Functions in Package stats |
| ts.union |
Bind Two or More Time Series |
| t.test |
Student's t-Test |
| tsdiag |
Diagnostic Plots for Time-Series Fits |
| update.formula |
Model Updating |
| residuals |
Extract Model Residuals |
| update |
Update and Re-fit a Model Call |
| reshape |
Reshape Grouped Data |
| spec.ar |
Estimate Spectral Density of a Time Series from AR Fit |
| spec.taper |
Taper a Time Series by a Cosine Bell |
| stats-defunct |
Defunct Functions in Package stats |
| stat.anova |
GLM Anova Statistics |
| summary.lm |
Summarizing Linear Model Fits |
| summary.manova |
Summary Method for Multivariate Analysis of Variance |
| ts |
Time-Series Objects |
| ts.plot |
Plot Multiple Time Series |
| No Results! |