The R Stats Package


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Documentation for package ‘stats’ version 2.15.3

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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 Function 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
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 Function 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 Function 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
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
logLik.lm 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 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

-- 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.
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
plot.TukeyHSD Compute Tukey Honest Significant Differences
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.anova Anova Tables
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.density Kernel Density Estimation
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.infl Regression Deletion Diagnostics
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.logLik Extract Log-Likelihood
print.power.htest Print method for power calculation object
print.prcomp Principal Components Analysis
print.princomp Principal Components Analysis
print.stepfun Step Function 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.terms Model Terms
print.ts Printing and Formatting of Time-Series Objects
print.TukeyHSD Compute Tukey Honest Significant Differences
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.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
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
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 Function Class
stl Seasonal Decomposition of Time Series by Loess
str.dendrogram General Tree Structures
str.logLik Extract Log-Likelihood
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.infl Regression Deletion Diagnostics
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 Function 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