The R Stats Package

Documentation for package ‘stats’ version 3.3.2

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Code demos. Use demo() to run them.

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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
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
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 Twoway 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	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
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
plclust	Deprecated Functions in Package 'stats'
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.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.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.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
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
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.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
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	Screeplots
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
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 Regression Model
SSasympOff	Self-Starting Nls Asymptotic Regression Model with an Offset
SSasympOrig	Self-Starting Nls Asymptotic Regression 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	Form Symmetric 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 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
[.acf	Auto- and Cross- Covariance and -Correlation Function Estimation
[.formula	Model Formulae
[.terms	Modify Terms Objects
[.ts	Time-Series Objects
[[.dendrogram	General Tree Structures