.checkMFClasses Functions to Check the Type of Variables passed to Model Frames AIC Akaike's An Information Criterion ARMAacf Compute Theoretical ACF for an ARMA Process ARMAtoMA Convert ARMA Process to Infinite MA Process Beta The Beta Distribution Binomial The Binomial Distribution Box.test Box-Pierce and Ljung-Box Tests C Sets Contrasts for a Factor Cauchy The Cauchy Distribution Chisquare The (non-central) Chi-Squared Distribution Distributions Distributions in the stats package Exponential The Exponential Distribution FDist The F Distribution GammaDist The Gamma Distribution Geometric The Geometric Distribution HoltWinters Holt-Winters Filtering Hypergeometric The Hypergeometric Distribution IQR The Interquartile Range KalmanLike Kalman Filtering Logistic The Logistic Distribution Lognormal The Log Normal Distribution Multinomial The Multinomial Distribution NLSstAsymptotic Fit the Asymptotic Regression Model NLSstClosestX Inverse Interpolation NLSstLfAsymptote Horizontal Asymptote on the Left Side NLSstRtAsymptote Horizontal Asymptote on the Right Side NegBinomial The Negative Binomial Distribution Normal The Normal Distribution PP.test Phillips-Perron Test for Unit Roots Pair Construct a Paired-Data Object Poisson The Poisson Distribution SSD SSD Matrix and Estimated Variance Matrix in Multivariate Models SSasymp Self-Starting 'nls' Asymptotic Model SSasympOff Self-Starting 'nls' Asymptotic Model with an Offset SSasympOrig Self-Starting 'nls' Asymptotic Model through the Origin SSbiexp Self-Starting 'nls' Biexponential Model SSfol Self-Starting 'nls' First-order Compartment Model SSfpl Self-Starting 'nls' Four-Parameter Logistic Model SSgompertz Self-Starting 'nls' Gompertz Growth Model SSlogis Self-Starting 'nls' Logistic Model SSmicmen Self-Starting 'nls' Michaelis-Menten Model SSweibull Self-Starting 'nls' Weibull Growth Curve Model SignRank Distribution of the Wilcoxon Signed Rank Statistic Smirnov Distribution of the Smirnov Statistic StructTS Fit Structural Time Series TDist The Student t Distribution Tukey The Studentized Range Distribution TukeyHSD Compute Tukey Honest Significant Differences Uniform The Uniform Distribution Weibull The Weibull Distribution Wilcoxon Distribution of the Wilcoxon Rank Sum Statistic acf Auto- and Cross- Covariance and -Correlation Function Estimation acf2AR Compute an AR Process Exactly Fitting an ACF add1 Add or Drop All Possible Single Terms to a Model addmargins Puts Arbitrary Margins on Multidimensional Tables or Arrays aggregate Compute Summary Statistics of Data Subsets alias Find Aliases (Dependencies) in a Model anova ANOVA Tables anova.glm Analysis of Deviance for Generalized Linear Model Fits anova.lm ANOVA for Linear Model Fits anova.mlm Comparisons between Multivariate Linear Models ansari.test Ansari-Bradley Test aov Fit an Analysis of Variance Model approxfun Interpolation Functions ar Fit Autoregressive Models to Time Series ar.ols Fit Autoregressive Models to Time Series by OLS arima ARIMA Modelling of Time Series arima.sim Simulate from an ARIMA Model arima0 ARIMA Modelling of Time Series - Preliminary Version as.hclust Convert Objects to Class '"hclust"' asOneSidedFormula Convert to One-Sided Formula ave Group Averages Over Level Combinations of Factors bartlett.test Bartlett Test of Homogeneity of Variances binom.test Exact Binomial Test biplot Biplot of Multivariate Data biplot.princomp Biplot for Principal Components bw.nrd0 Bandwidth Selectors for Kernel Density Estimation cancor Canonical Correlations case.names Case and Variable Names of Fitted Models chisq.test Pearson's Chi-squared Test for Count Data cmdscale Classical (Metric) Multidimensional Scaling coef Extract Model Coefficients complete.cases Find Complete Cases confint Confidence Intervals for Model Parameters constrOptim Linearly Constrained Optimization contr.helmert (Possibly Sparse) Contrast Matrices contrasts Get and Set Contrast Matrices convolve Convolution of Sequences via FFT cophenetic Cophenetic Distances for a Hierarchical Clustering cor Correlation, Variance and Covariance (Matrices) cor.test Test for Association/Correlation Between Paired Samples cov.wt Weighted Covariance Matrices cpgram Plot Cumulative Periodogram cutree Cut a Tree into Groups of Data decompose Classical Seasonal Decomposition by Moving Averages delete.response Modify Terms Objects dendrapply Apply a Function to All Nodes of a Dendrogram dendrogram General Tree Structures density Kernel Density Estimation deriv Symbolic and Algorithmic Derivatives of Simple Expressions deviance Model Deviance df.residual Residual Degrees-of-Freedom diff.ts Methods for Time Series Objects diffinv Discrete Integration: Inverse of Differencing dist Distance Matrix Computation dummy.coef Extract Coefficients in Original Coding ecdf Empirical Cumulative Distribution Function eff.aovlist Compute Efficiencies of Multistratum Analysis of Variance effects Effects from Fitted Model embed Embedding a Time Series expand.model.frame Add new variables to a model frame extractAIC Extract AIC from a Fitted Model factanal Factor Analysis factor.scope Compute Allowed Changes in Adding to or Dropping from a Formula family Family Objects for Models family.glm Accessing Generalized Linear Model Fits family.lm Accessing Linear Model Fits fft Fast Discrete Fourier Transform (FFT) filter Linear Filtering on a Time Series fisher.test Fisher's Exact Test for Count Data fitted Extract Model Fitted Values fivenum Tukey Five-Number Summaries fligner.test Fligner-Killeen Test of Homogeneity of Variances formula Model Formulae formula.nls Extract Model Formula from 'nls' Object friedman.test Friedman Rank Sum Test ftable Flat Contingency Tables ftable.formula Formula Notation for Flat Contingency Tables getInitial Get Initial Parameter Estimates glm Fitting Generalized Linear Models glm.control Auxiliary for Controlling GLM Fitting hclust Hierarchical Clustering heatmap Draw a Heat Map identify.hclust Identify Clusters in a Dendrogram influence.measures Regression Deletion Diagnostics integrate Integration of One-Dimensional Functions interaction.plot Two-way Interaction Plot is.empty.model Test if a Model's Formula is Empty isoreg Isotonic / Monotone Regression kernapply Apply Smoothing Kernel kernel Smoothing Kernel Objects kmeans K-Means Clustering kruskal.test Kruskal-Wallis Rank Sum Test ks.test Kolmogorov-Smirnov Tests ksmooth Kernel Regression Smoother lag Lag a Time Series lag.plot Time Series Lag Plots line Robust Line Fitting listof A Class for Lists of (Parts of) Model Fits lm Fitting Linear Models lm.fit Fitter Functions for Linear Models lm.influence Regression Diagnostics loadings Print Loadings in Factor Analysis loess Local Polynomial Regression Fitting loess.control Set Parameters for 'loess' logLik Extract Log-Likelihood loglin Fitting Log-Linear Models lowess Scatter Plot Smoothing ls.diag Compute Diagnostics for 'lsfit' Regression Results ls.print Print 'lsfit' Regression Results lsfit Find the Least Squares Fit mad Median Absolute Deviation mahalanobis Mahalanobis Distance make.link Create a Link for GLM Families makepredictcall Utility Function for Safe Prediction manova Multivariate Analysis of Variance mantelhaen.test Cochran-Mantel-Haenszel Chi-Squared Test for Count Data mauchly.test Mauchly's Test of Sphericity mcnemar.test McNemar's Chi-squared Test for Count Data median Median Value medpolish Median Polish (Robust Two-way Decomposition) of a Matrix model.extract Extract Components from a Model Frame model.frame Extracting the Model Frame from a Formula or Fit model.matrix Construct Design Matrices model.tables Compute Tables of Results from an 'aov' Model Fit monthplot Plot a Seasonal or other Subseries from a Time Series mood.test Mood Two-Sample Test of Scale na.action NA Action na.contiguous Find Longest Contiguous Stretch of non-NAs na.fail Handle Missing Values in Objects naprint Adjust for Missing Values naresid Adjust for Missing Values nextn Find Highly Composite Numbers nlm Non-Linear Minimization nlminb Optimization using PORT routines nls Nonlinear Least Squares nls.control Control the Iterations in 'nls' nobs Extract the Number of Observations from a Fit numericDeriv Evaluate Derivatives Numerically offset Include an Offset in a Model Formula oneway.test Test for Equal Means in a One-Way Layout optim General-purpose Optimization optimize One Dimensional Optimization order.dendrogram Ordering or Labels of the Leaves in a Dendrogram p.adjust Adjust P-values for Multiple Comparisons pairwise.prop.test Pairwise comparisons for proportions pairwise.t.test Pairwise t tests pairwise.table Tabulate p values for pairwise comparisons pairwise.wilcox.test Pairwise Wilcoxon Rank Sum Tests plot.HoltWinters Plot function for '"HoltWinters"' objects plot.acf Plot Autocovariance and Autocorrelation Functions plot.density Plot Method for Kernel Density Estimation plot.isoreg Plot Method for 'isoreg' Objects plot.lm Plot Diagnostics for an 'lm' Object plot.ppr Plot Ridge Functions for Projection Pursuit Regression Fit plot.profile Plotting Functions for 'profile' Objects plot.profile.nls Plot a 'profile.nls' Object plot.spec Plotting Spectral Densities plot.stepfun Plot Step Functions plot.stl Methods for STL Objects plot.ts Plotting Time-Series Objects poisson.test Exact Poisson tests poly Compute Orthogonal Polynomials power Create a Power Link Object power.anova.test Power Calculations for Balanced One-Way Analysis of Variance Tests power.prop.test Power Calculations for Two-Sample Test for Proportions power.t.test Power calculations for one and two sample t tests ppoints Ordinates for Probability Plotting ppr Projection Pursuit Regression prcomp Principal Components Analysis predict Model Predictions predict.Arima Forecast from ARIMA fits predict.HoltWinters Prediction Function for Fitted Holt-Winters Models predict.glm Predict Method for GLM Fits predict.lm Predict method for Linear Model Fits predict.loess Predict LOESS Curve or Surface predict.nls Predicting from Nonlinear Least Squares Fits predict.smooth.spline Predict from Smoothing Spline Fit preplot Pre-computations for a Plotting Object princomp Principal Components Analysis print.power.htest Print Methods for Hypothesis Tests and Power Calculation Objects print.ts Printing and Formatting of Time-Series Objects printCoefmat Print Coefficient Matrices profile Generic Function for Profiling Models profile.glm Method for Profiling 'glm' Objects profile.nls Method for Profiling 'nls' Objects proj Projections of Models prop.test Test of Equal or Given Proportions prop.trend.test Test for trend in proportions qbirthday Probability of coincidences qqnorm Quantile-Quantile Plots quade.test Quade Test quantile Sample Quantiles r2dtable Random 2-way Tables with Given Marginals rWishart Random Wishart Distributed Matrices read.ftable Manipulate Flat Contingency Tables rect.hclust Draw Rectangles Around Hierarchical Clusters relevel Reorder Levels of Factor reorder.default Reorder Levels of a Factor reorder.dendrogram Reorder a Dendrogram replications Number of Replications of Terms reshape Reshape Grouped Data residuals Extract Model Residuals runmed Running Medians - Robust Scatter Plot Smoothing scatter.smooth Scatter Plot with Smooth Curve Fitted by 'loess' screeplot Scree Plots sd Standard Deviation se.contrast Standard Errors for Contrasts in Model Terms selfStart Construct Self-starting Nonlinear Models setNames Set the Names in an Object shapiro.test Shapiro-Wilk Normality Test sigma Extract Residual Standard Deviation 'Sigma' simulate Simulate Responses smooth Tukey's (Running Median) Smoothing smooth.spline Fit a Smoothing Spline smoothEnds End Points Smoothing (for Running Medians) sortedXyData Create a 'sortedXyData' Object 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 spec.taper Taper a Time Series by a Cosine Bell spectrum Spectral Density Estimation splinefun Interpolating Splines start Encode the Terminal Times of Time Series stat.anova GLM ANOVA Statistics stats-deprecated Deprecated Functions in Package 'stats' stats-package The R Stats Package step Choose a model by AIC in a Stepwise Algorithm stepfun Step Functions - Creation and Class stl Seasonal Decomposition of Time Series by Loess summary.aov Summarize an Analysis of Variance Model summary.glm Summarizing Generalized Linear Model Fits summary.lm Summarizing Linear Model Fits summary.manova Summary Method for Multivariate Analysis of Variance summary.nls Summarizing Non-Linear Least-Squares Model Fits summary.princomp Summary method for Principal Components Analysis supsmu Friedman's SuperSmoother symnum Symbolic Number Coding t.test Student's t-Test termplot Plot Regression Terms terms Model Terms terms.formula Construct a terms Object from a Formula terms.object Description of Terms Objects time Sampling Times of Time Series toeplitz Create Symmetric and Asymmetric Toeplitz Matrix ts Time-Series Objects ts.plot Plot Multiple Time Series ts.union Bind Two or More Time Series tsSmooth Use Fixed-Interval Smoothing on Time Series tsdiag Diagnostic Plots for Time-Series Fits tsp Tsp Attribute of Time-Series-like Objects uniroot One Dimensional Root (Zero) Finding update Update and Re-fit a Model Call update.formula Model Updating var.test F Test to Compare Two Variances varimax Rotation Methods for Factor Analysis vcov Calculate Variance-Covariance Matrix for a Fitted Model Object weighted.mean Weighted Arithmetic Mean weighted.residuals Compute Weighted Residuals weights Extract Model Weights wilcox.test Wilcoxon Rank Sum and Signed Rank Tests window Time (Series) Windows xtabs Cross Tabulation