The R Stats Package [R logo]

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Documentation for package ‘stats’ version 4.4.1

DESCRIPTION file.
User guides, package vignettes and other documentation.
Code demos. Use demo() to run them.

Help Pages

A B C D E F G H I K L M N O P Q R S T U V W X misc

stats-package The R Stats Package

-- A --

acf Auto- and Cross- Covariance and -Correlation Function Estimation

acf2AR Compute an AR Process Exactly Fitting an ACF

add.scope Compute Allowed Changes in Adding to or Dropping from a Formula

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

AIC Akaike's An Information Criterion

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

approx Interpolation Functions

approxfun Interpolation Functions

ar Fit Autoregressive Models to Time Series

ar.burg Fit Autoregressive Models to Time Series

ar.burg.default Fit Autoregressive Models to Time Series

ar.mle Fit Autoregressive Models to Time Series

ar.ols Fit Autoregressive Models to Time Series by OLS

ar.yw Fit Autoregressive Models to Time Series

ar.yw.default Fit Autoregressive Models to Time Series

arima ARIMA Modelling of Time Series

arima.sim Simulate from an ARIMA Model

arima0 ARIMA Modelling of Time Series - Preliminary Version

ARMAacf Compute Theoretical ACF for an ARMA Process

ARMAtoMA Convert ARMA Process to Infinite MA Process

as.dendrogram General Tree Structures

as.dist Distance Matrix Computation

as.formula Model Formulae

as.hclust Convert Objects to Class '"hclust"'

as.hclust.dendrogram General Tree Structures

as.matrix.dist Distance Matrix Computation

as.stepfun Step Functions - Creation and Class

as.ts Time-Series Objects

asOneSidedFormula Convert to One-Sided Formula

ave Group Averages Over Level Combinations of Factors

-- B --

bandwidth.kernel Smoothing Kernel Objects

bartlett.test Bartlett Test of Homogeneity of Variances

Beta The Beta Distribution

BIC Akaike's An Information Criterion

binom.test Exact Binomial Test

Binomial The Binomial Distribution

binomial Family Objects for Models

biplot Biplot of Multivariate Data

biplot.princomp Biplot for Principal Components

Box.test Box-Pierce and Ljung-Box Tests

bw.bcv Bandwidth Selectors for Kernel Density Estimation

bw.nrd Bandwidth Selectors for Kernel Density Estimation

bw.nrd0 Bandwidth Selectors for Kernel Density Estimation

bw.SJ Bandwidth Selectors for Kernel Density Estimation

bw.ucv Bandwidth Selectors for Kernel Density Estimation

-- C --

C Sets Contrasts for a Factor

cancor Canonical Correlations

case.names Case and Variable Names of Fitted Models

case.names.lm Case and Variable Names of Fitted Models

Cauchy The Cauchy Distribution

cbind.ts Time-Series Objects

ccf Auto- and Cross- Covariance and -Correlation Function Estimation

chisq.test Pearson's Chi-squared Test for Count Data

Chisquare The (non-central) Chi-Squared Distribution

cmdscale Classical (Metric) Multidimensional Scaling

coef Extract Model Coefficients

coef.default Extract Model Coefficients

coefficients Extract Model Coefficients

complete.cases Find Complete Cases

confint Confidence Intervals for Model Parameters

constrOptim Linearly Constrained Optimization

contr.helmert (Possibly Sparse) Contrast Matrices

contr.poly (Possibly Sparse) Contrast Matrices

contr.SAS (Possibly Sparse) Contrast Matrices

contr.sum (Possibly Sparse) Contrast Matrices

contr.treatment (Possibly Sparse) Contrast Matrices

contrasts Get and Set Contrast Matrices

convolve Convolution of Sequences via FFT

cooks.distance Regression Deletion Diagnostics

cooks.distance.lm Regression Deletion Diagnostics

cophenetic Cophenetic Distances for a Hierarchical Clustering

cor Correlation, Variance and Covariance (Matrices)

cor.test Test for Association/Correlation Between Paired Samples

cov Correlation, Variance and Covariance (Matrices)

cov.wt Weighted Covariance Matrices

cov2cor Correlation, Variance and Covariance (Matrices)

covratio Regression Deletion Diagnostics

cpgram Plot Cumulative Periodogram

cut.dendrogram General Tree Structures

cutree Cut a Tree into Groups of Data

cycle Sampling Times of Time Series

-- D --

D Symbolic and Algorithmic Derivatives of Simple Expressions

dbeta The Beta Distribution

dbinom The Binomial Distribution

dcauchy The Cauchy Distribution

dchisq The (non-central) Chi-Squared Distribution

decompose Classical Seasonal Decomposition by Moving Averages

delete.response Modify Terms Objects

deltat Sampling Times of Time Series

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

deriv3 Symbolic and Algorithmic Derivatives of Simple Expressions

deviance Model Deviance

dexp The Exponential Distribution

df The F Distribution

df.kernel Smoothing Kernel Objects

df.residual Residual Degrees-of-Freedom

DF2formula Model Formulae

dfbeta Regression Deletion Diagnostics

dfbetas Regression Deletion Diagnostics

dffits Regression Deletion Diagnostics

dgamma The Gamma Distribution

dgeom The Geometric Distribution

dhyper The Hypergeometric Distribution

diff.ts Methods for Time Series Objects

diffinv Discrete Integration: Inverse of Differencing

dist Distance Matrix Computation

distribution Distributions in the stats package

Distributions Distributions in the stats package

distributions Distributions in the stats package

dlnorm The Log Normal Distribution

dlogis The Logistic Distribution

dmultinom The Multinomial Distribution

dnbinom The Negative Binomial Distribution

dnorm The Normal Distribution

dpois The Poisson Distribution

drop.scope Compute Allowed Changes in Adding to or Dropping from a Formula

drop.terms Modify Terms Objects

drop1 Add or Drop All Possible Single Terms to a Model

dsignrank Distribution of the Wilcoxon Signed Rank Statistic

dt The Student t Distribution

dummy.coef Extract Coefficients in Original Coding

dummy.coef.lm Extract Coefficients in Original Coding

dunif The Uniform Distribution

dweibull The Weibull Distribution

dwilcox Distribution of the Wilcoxon Rank Sum Statistic

-- E --

ecdf Empirical Cumulative Distribution Function

eff.aovlist Compute Efficiencies of Multistratum Analysis of Variance

effects Effects from Fitted Model

embed Embedding a Time Series

end Encode the Terminal Times of Time Series

Error Fit an Analysis of Variance Model

estVar SSD Matrix and Estimated Variance Matrix in Multivariate Models

expand.model.frame Add new variables to a model frame

Exponential The Exponential Distribution

extractAIC Extract AIC from a Fitted Model

-- F --

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

FDist The F Distribution

fft Fast Discrete Fourier Transform (FFT)

filter Linear Filtering on a Time Series

fisher.test Fisher's Exact Test for Count Data

fitted.kmeans K-Means Clustering

fitted.values Extract Model Fitted Values

fivenum Tukey Five-Number Summaries

fligner.test Fligner-Killeen Test of Homogeneity of Variances

format.dist Distance Matrix Computation

format.ftable Manipulate Flat Contingency Tables

formula Model Formulae

formula.lm Accessing Linear Model Fits

formula.nls Extract Model Formula from 'nls' Object

frequency Sampling Times of Time Series

friedman.test Friedman Rank Sum Test

ftable Flat Contingency Tables

ftable.formula Formula Notation for Flat Contingency Tables

-- G --

Gamma Family Objects for Models

GammaDist The Gamma Distribution

gaussian Family Objects for Models

Geometric The Geometric Distribution

getCall Update and Re-fit a Model Call

getInitial Get Initial Parameter Estimates

get_all_vars Extracting the Model Frame from a Formula or Fit

glm Fitting Generalized Linear Models

glm.control Auxiliary for Controlling GLM Fitting

-- H --

hasTsp Tsp Attribute of Time-Series-like Objects

hat Regression Deletion Diagnostics

hatvalues Regression Deletion Diagnostics

hclust Hierarchical Clustering

heatmap Draw a Heat Map

HoltWinters Holt-Winters Filtering

Hypergeometric The Hypergeometric Distribution

-- I --

identify.hclust Identify Clusters in a Dendrogram

influence Regression Diagnostics

influence.measures Regression Deletion Diagnostics

integrate Integration of One-Dimensional Functions

interaction.plot Two-way Interaction Plot

inverse.gaussian Family Objects for Models

IQR The Interquartile Range

is.empty.model Test if a Model's Formula is Empty

is.leaf General Tree Structures

is.mts Time-Series Objects

is.stepfun Step Functions - Creation and Class

is.ts Time-Series Objects

is.tskernel Smoothing Kernel Objects

isoreg Isotonic / Monotone Regression

-- K --

KalmanForecast Kalman Filtering

KalmanLike Kalman Filtering

KalmanRun Kalman Filtering

KalmanSmooth Kalman Filtering

kernapply Apply Smoothing Kernel

kernel Smoothing Kernel Objects

kmeans K-Means Clustering

knots Step Functions - Creation and Class

kruskal.test Kruskal-Wallis Rank Sum Test

ks.test Kolmogorov-Smirnov Tests

ksmooth Kernel Regression Smoother

-- L --

labels.dendrogram Ordering or Labels of the Leaves in a Dendrogram

labels.dist Distance Matrix Computation

labels.lm Accessing Linear Model Fits

labels.terms Model Terms

lag Lag a Time Series

lag.plot Time Series Lag Plots

line Robust Line Fitting

lines.isoreg Plot Method for 'isoreg' Objects

lines.stepfun Plot Step Functions

lines.ts Plotting Time-Series Objects

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

lm.wfit Fitter Functions for Linear Models

loadings Print Loadings in Factor Analysis

loess Local Polynomial Regression Fitting

loess.control Set Parameters for 'loess'

loess.smooth Scatter Plot with Smooth Curve Fitted by 'loess'

Logistic The Logistic Distribution

logLik Extract Log-Likelihood

loglin Fitting Log-Linear Models

Lognormal The Log Normal Distribution

lowess Scatter Plot Smoothing

ls.diag Compute Diagnostics for 'lsfit' Regression Results

ls.print Print 'lsfit' Regression Results

lsfit Find the Least Squares Fit

-- M --

mad Median Absolute Deviation

mahalanobis Mahalanobis Distance

make.link Create a Link for GLM Families

makeARIMA Kalman Filtering

makepredictcall Utility Function for Safe Prediction

makepredictcall.poly Compute Orthogonal Polynomials

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

merge.dendrogram General Tree Structures

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.offset Extract Components from a Model Frame

model.response Extract Components from a Model Frame

model.tables Compute Tables of Results from an 'aov' Model Fit

model.weights Extract Components from a Model Frame

monthplot Plot a Seasonal or other Subseries from a Time Series

mood.test Mood Two-Sample Test of Scale

Multinomial The Multinomial Distribution

mvfft Fast Discrete Fourier Transform (FFT)

-- N --

na.action NA Action

na.contiguous Find Longest Contiguous Stretch of non-NAs

na.exclude Handle Missing Values in Objects

na.fail Handle Missing Values in Objects

na.omit Handle Missing Values in Objects

na.omit.ts Methods for Time Series Objects

na.pass Handle Missing Values in Objects

napredict Adjust for Missing Values

naprint Adjust for Missing Values

naresid Adjust for Missing Values

NegBinomial The Negative Binomial Distribution

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'

NLSstAsymptotic Fit the Asymptotic Regression Model

NLSstClosestX Inverse Interpolation

NLSstLfAsymptote Horizontal Asymptote on the Left Side

NLSstRtAsymptote Horizontal Asymptote on the Right Side

nobs Extract the Number of Observations from a Fit

nobs.dendrogram General Tree Structures

Normal The Normal Distribution

numericDeriv Evaluate Derivatives Numerically

-- O --

offset Include an Offset in a Model Formula

oneway.test Test for Equal Means in a One-Way Layout

Ops.ts Time-Series Objects

optim General-purpose Optimization

optimHess General-purpose Optimization

optimise One Dimensional Optimization

optimize One Dimensional Optimization

order.dendrogram Ordering or Labels of the Leaves in a Dendrogram

-- P --

p.adjust Adjust P-values for Multiple Comparisons

p.adjust.methods Adjust P-values for Multiple Comparisons

pacf Auto- and Cross- Covariance and -Correlation Function Estimation

Pair Construct a Paired-Data Object

pairs.profile Plotting Functions for 'profile' Objects

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

pbeta The Beta Distribution

pbinom The Binomial Distribution

pbirthday Probability of coincidences

pcauchy The Cauchy Distribution

pchisq The (non-central) Chi-Squared Distribution

pexp The Exponential Distribution

pf The F Distribution

pgamma The Gamma Distribution

pgeom The Geometric Distribution

phyper The Hypergeometric Distribution

plnorm The Log Normal Distribution

plogis The Logistic Distribution

plot.acf Plot Autocovariance and Autocorrelation Functions

plot.decomposed.ts Classical Seasonal Decomposition by Moving Averages

plot.dendrogram General Tree Structures

plot.density Plot Method for Kernel Density Estimation

plot.ecdf Empirical Cumulative Distribution Function

plot.hclust Hierarchical Clustering

plot.HoltWinters Plot function for '"HoltWinters"' objects

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.prcomp Principal Components Analysis

plot.princomp Principal Components Analysis

plot.profile Plotting Functions for 'profile' Objects

plot.profile.nls Plot a 'profile.nls' Object

plot.spec Plotting Spectral Densities

plot.spec.coherency Plotting Spectral Densities

plot.stepfun Plot Step Functions

plot.stl Methods for STL Objects

plot.ts Plotting Time-Series Objects

plot.tskernel Smoothing Kernel Objects

pnbinom The Negative Binomial Distribution

pnorm The Normal Distribution

Poisson The Poisson Distribution

poisson Family Objects for Models

poisson.test Exact Poisson tests

poly Compute Orthogonal Polynomials

polym 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

PP.test Phillips-Perron Test for Unit Roots

ppoints Ordinates for Probability Plotting

ppois The Poisson Distribution

ppr Projection Pursuit Regression

prcomp Principal Components Analysis

predict Model Predictions

predict.ar Fit Autoregressive Models to Time Series

predict.Arima Forecast from ARIMA fits

predict.arima0 ARIMA Modelling of Time Series - Preliminary Version

predict.glm Predict Method for GLM Fits

predict.HoltWinters Prediction Function for Fitted Holt-Winters Models

predict.lm Predict method for Linear Model Fits

predict.loess Predict LOESS Curve or Surface

predict.nls Predicting from Nonlinear Least Squares Fits

predict.poly Compute Orthogonal Polynomials

predict.prcomp Principal Components Analysis

predict.princomp Principal Components Analysis

predict.smooth.spline Predict from Smoothing Spline Fit

predict.StructTS Fit Structural Time Series

preplot Pre-computations for a Plotting Object

princomp Principal Components Analysis

print.aov Fit an Analysis of Variance Model

print.ar Fit Autoregressive Models to Time Series

print.arima0 ARIMA Modelling of Time Series - Preliminary Version

print.dendrogram General Tree Structures

print.dist Distance Matrix Computation

print.ecdf Empirical Cumulative Distribution Function

print.formula Model Formulae

print.ftable Manipulate Flat Contingency Tables

print.hclust Hierarchical Clustering

print.HoltWinters Holt-Winters Filtering

print.htest Print Methods for Hypothesis Tests and Power Calculation Objects

print.integrate Integration of One-Dimensional Functions

print.kmeans K-Means Clustering

print.lm Fitting Linear Models

print.loadings Print Loadings in Factor Analysis

print.power.htest Print Methods for Hypothesis Tests and Power Calculation Objects

print.prcomp Principal Components Analysis

print.princomp Principal Components Analysis

print.stepfun Step Functions - Creation and Class

print.StructTS Fit Structural Time Series

print.summary.aov Summarize an Analysis of Variance Model

print.summary.glm Summarizing Generalized Linear Model Fits

print.summary.lm Summarizing Linear Model Fits

print.summary.manova Summary Method for Multivariate Analysis of Variance

print.summary.nls Summarizing Non-Linear Least-Squares Model Fits

print.summary.prcomp Principal Components Analysis

print.summary.princomp Summary method for Principal Components Analysis

print.ts Printing and Formatting of Time-Series Objects

print.xtabs Cross Tabulation

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

promax Rotation Methods for Factor Analysis

prop.test Test of Equal or Given Proportions

prop.trend.test Test for trend in proportions

psignrank Distribution of the Wilcoxon Signed Rank Statistic

psmirnov Distribution of the Smirnov Statistic

pt The Student t Distribution

ptukey The Studentized Range Distribution

punif The Uniform Distribution

pweibull The Weibull Distribution

pwilcox Distribution of the Wilcoxon Rank Sum Statistic

-- Q --

qbeta The Beta Distribution

qbinom The Binomial Distribution

qbirthday Probability of coincidences

qcauchy The Cauchy Distribution

qchisq The (non-central) Chi-Squared Distribution

qexp The Exponential Distribution

qf The F Distribution

qgamma The Gamma Distribution

qgeom The Geometric Distribution

qhyper The Hypergeometric Distribution

qlnorm The Log Normal Distribution

qlogis The Logistic Distribution

qnbinom The Negative Binomial Distribution

qnorm The Normal Distribution

qpois The Poisson Distribution

qqline Quantile-Quantile Plots

qqnorm Quantile-Quantile Plots

qqplot Quantile-Quantile Plots

qsignrank Distribution of the Wilcoxon Signed Rank Statistic

qsmirnov Distribution of the Smirnov Statistic

qt The Student t Distribution

qtukey The Studentized Range Distribution

quade.test Quade Test

quantile Sample Quantiles

quantile.ecdf Empirical Cumulative Distribution Function

quasi Family Objects for Models

quasibinomial Family Objects for Models

quasipoisson Family Objects for Models

qunif The Uniform Distribution

qweibull The Weibull Distribution

qwilcox Distribution of the Wilcoxon Rank Sum Statistic

-- R --

r2dtable Random 2-way Tables with Given Marginals

rbeta The Beta Distribution

rbinom The Binomial Distribution

rcauchy The Cauchy Distribution

rchisq The (non-central) Chi-Squared Distribution

read.ftable Manipulate Flat Contingency Tables

rect.hclust Draw Rectangles Around Hierarchical Clusters

reformulate Modify Terms Objects

relevel Reorder Levels of Factor

reorder Reorder Levels of a Factor

reorder.dendrogram Reorder a Dendrogram

replications Number of Replications of Terms

reshape Reshape Grouped Data

resid Extract Model Residuals

residuals Extract Model Residuals

residuals.default Extract Model Residuals

residuals.glm Accessing Generalized Linear Model Fits

residuals.HoltWinters Holt-Winters Filtering

residuals.lm Accessing Linear Model Fits

residuals.tukeyline Robust Line Fitting

rev.dendrogram General Tree Structures

rexp The Exponential Distribution

rf The F Distribution

rgamma The Gamma Distribution

rgeom The Geometric Distribution

rhyper The Hypergeometric Distribution

rlnorm The Log Normal Distribution

rlogis The Logistic Distribution

rmultinom The Multinomial Distribution

rnbinom The Negative Binomial Distribution

rnorm The Normal Distribution

rpois The Poisson Distribution

rsignrank Distribution of the Wilcoxon Signed Rank Statistic

rsmirnov Distribution of the Smirnov Statistic

rstandard Regression Deletion Diagnostics

rstudent Regression Deletion Diagnostics

rt The Student t Distribution

runif The Uniform Distribution

runmed Running Medians - Robust Scatter Plot Smoothing

rweibull The Weibull Distribution

rwilcox Distribution of the Wilcoxon Rank Sum Statistic

rWishart Random Wishart Distributed Matrices

-- S --

SafePrediction Utility Function for Safe Prediction

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

se.contrast.aov 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'

SignRank Distribution of the Wilcoxon Signed Rank Statistic

simulate Simulate Responses

Smirnov Distribution of the Smirnov Statistic

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 Spectral Density Estimation

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

spline Interpolating Splines

splinefun Interpolating Splines

splinefunH Interpolating Splines

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

SSD SSD Matrix and Estimated Variance Matrix in Multivariate Models

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

start Encode the Terminal Times of Time Series

stat.anova GLM ANOVA Statistics

stats The R Stats Package

stats-deprecated Deprecated Functions in Package 'stats'

step Choose a model by AIC in a Stepwise Algorithm

stepfun Step Functions - Creation and Class

stl Seasonal Decomposition of Time Series by Loess

str.dendrogram General Tree Structures

StructTS Fit Structural Time Series

summary.aov Summarize an Analysis of Variance Model

summary.ecdf Empirical Cumulative Distribution Function

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.prcomp Principal Components Analysis

summary.princomp Summary method for Principal Components Analysis

summary.stepfun Step Functions - Creation and Class

supsmu Friedman's SuperSmoother

symnum Symbolic Number Coding

-- T --

t.test Student's t-Test

t.ts Time-Series Objects

TDist The Student t Distribution

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

time.default Sampling Times of Time Series

toeplitz Create Symmetric and Asymmetric Toeplitz Matrix

toeplitz2 Create Symmetric and Asymmetric Toeplitz Matrix

ts Time-Series Objects

ts.intersect Bind Two or More Time Series

ts.plot Plot Multiple Time Series

ts.union Bind Two or More Time Series

tsdiag Diagnostic Plots for Time-Series Fits

tsp Tsp Attribute of Time-Series-like Objects

tsSmooth Use Fixed-Interval Smoothing on Time Series

Tukey The Studentized Range Distribution

TukeyHSD Compute Tukey Honest Significant Differences

-- U --

Uniform The Uniform Distribution

uniroot One Dimensional Root (Zero) Finding

update Update and Re-fit a Model Call

update.formula Model Updating

-- V --

var Correlation, Variance and Covariance (Matrices)

var.test F Test to Compare Two Variances

variable.names Case and Variable Names of Fitted Models

variable.names.lm Case and Variable Names of Fitted Models

varimax Rotation Methods for Factor Analysis

vcov Calculate Variance-Covariance Matrix for a Fitted Model Object

vcov.lme Calculate Variance-Covariance Matrix for a Fitted Model Object

vcov.summary.lm Calculate Variance-Covariance Matrix for a Fitted Model Object

-- W --

Weibull The Weibull Distribution

weighted.mean Weighted Arithmetic Mean

weighted.mean.default Weighted Arithmetic Mean

weighted.residuals Compute Weighted Residuals

weights Extract Model Weights

weights.glm Fitting Generalized Linear Models

wilcox.test Wilcoxon Rank Sum and Signed Rank Tests

Wilcoxon Distribution of the Wilcoxon Rank Sum Statistic

window Time (Series) Windows

write.ftable Manipulate Flat Contingency Tables

-- X --

xtabs Cross Tabulation

-- misc --

.checkMFClasses Functions to Check the Type of Variables passed to Model Frames

.getXlevels Functions to Check the Type of Variables passed to Model Frames

.lm.fit Fitter Functions for Linear Models

.MFclass Functions to Check the Type of Variables passed to Model Frames

.nknots.smspl Fit a Smoothing Spline

.preformat.ts Printing and Formatting of Time-Series Objects

.vcov.aliased Calculate Variance-Covariance Matrix for a Fitted Model Object

[.acf Auto- and Cross- Covariance and -Correlation Function Estimation

[.formula Model Formulae

[.terms Modify Terms Objects

[.ts Time-Series Objects

[[.dendrogram General Tree Structures