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