# The R Stats Package

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

## -- A --

ability.cov | Ability and Intelligence Tests
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
airmiles | Passenger Miles on Commercial US Airlines, 1937-1960
AirPassengers | Monthly Airline Passenger Numbers 1949-1960
alias | Find Aliases (Dependencies) in a Model
anova | Anova Tables
anova.glm | Analysis of Deviance for Generalized Linear Model Fits
anova.glmlist | Analysis of Deviance for Generalized Linear Model Fits
anova.lm | ANOVA for Linear Model Fits
anova.lmlist | ANOVA for Linear Model Fits
anova.mlm | ANOVA for Linear Model Fits
ansari.test | Ansari-Bradley Test
aov | Fit an Analysis of Variance Model
ar | Fit Autoregressive Models to Time Series
ar.burg | 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
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.matrix.dist | Distance Matrix Computation
as.stepfun | Step Function Class
as.table.ftable | Manipulate Flat Contingency Tables
as.ts | Time-Series Objects
asOneSidedFormula | Convert to One-Sided Formula
austres | Quarterly Time Series of the Number of Australian Residents
ave | Group Averages Over Level Combinations of Factors

## -- B --

bandwidth.kernel | Smoothing Kernel Objects
bartlett.test | Bartlett Test for Homogeneity of Variances
beaver1 | Body Temperature Series of Two Beavers
beaver2 | Body Temperature Series of Two Beavers
beavers | Body Temperature Series of Two Beavers
Beta | The Beta Distribution
binom.test | Exact Binomial Test
Binomial | The Binomial Distribution
binomial | Family Objects for Models
biplot | Biplot of Multivariate Data
biplot.prcomp | Biplot for Principal Components
biplot.princomp | Biplot for Principal Components
BJsales | Sales Data with Leading Indicator
BOD | Biochemical Oxygen Demand
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
Cauchy | The Cauchy Distribution
cbind.ts | Time-Series Objects
ccf | Auto- and Cross- Covariance and -Correlation Function Estimation
ChickWeight | Weight versus age of chicks on different diets
chisq.test | Pearson's Chi-squared Test for Count Data
Chisquare | The (non-central) Chi-Squared Distribution
clearNames | Remove the Names from an Object
cmdscale | Classical (Metric) Multidimensional Scaling
CO2 | Carbon Dioxide uptake in grass plants
co2 | Mauna Loa Atmospheric CO2 Concentration
coef | Extract Model Coefficients
coefficients | Extract Model Coefficients
complete.cases | Find Complete Cases
confint | Confidence Intervals for Model Parameters
constrOptim | Linearly constrained optimisation
contr.helmert | Contrast Matrices
contr.poly | Contrast Matrices
contr.sum | Contrast Matrices
contr.treatment | Contrast Matrices
contrasts | Get and Set Contrast Matrices
cooks.distance | 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
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
discoveries | Yearly Numbers of Important Discoveries
dist | Distance Matrix Computation
dlnorm | The Log Normal Distribution
dlogis | The Logistic Distribution
dmultinom | The Multinomial Distribution
DNase | Elisa assay of DNase
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
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
EuStockMarkets | Daily Closing Prices of Major European Stock Indices, 1991-1998
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
factanal.fit.mle | 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
fdeaths | Monthly Deaths from Lung Diseases in the UK
FDist | The F Distribution
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 for Homogeneity of Variances
format.dist | Distance Matrix Computation
formula | Model Formulae
formula.lm | Accessing Linear Model Fits
formula.nls | Extract Model Formula from nls Object
formula.terms | Model Formulae
freeny | Freeny's Revenue Data
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
getInitial | Get Initial Parameter Estimates
glm | Fitting Generalized Linear Models
glm.control | Auxiliary for Controlling GLM Fitting
glm.fit | Fitting Generalized Linear Models

## -- H --

Harman23.cor | Harman Example 2.3
Harman74.cor | Harman Example 7.4
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
Indometh | Pharmacokinetics of Indomethicin
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 | Check if a Model is Empty
is.mts | Time-Series Objects
is.stepfun | Step Function Class
is.ts | Time-Series Objects
is.tskernel | Smoothing Kernel Objects
isoreg | Isotonic / Monotone Regression

## -- J --

JohnsonJohnson | Quarterly Earnings per Johnson & Johnson Share

## -- 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 --

lag | Lag a Time Series
lag.plot | Time Series Lag Plots
LakeHuron | Level of Lake Huron 1875-1972
ldeaths | Monthly Deaths from Lung Diseases in the UK
lh | Luteinizing Hormone in Blood Samples
line | Robust Line Fitting
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
Loblolly | Growth of Loblolly pine trees
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
lynx | Annual Canadian Lynx trappings 1821-1934

## -- 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
mcnemar.test | McNemar's Chi-squared Test for Count Data
mdeaths | Monthly Deaths from Lung Diseases in the UK
median | Median Value
medpolish | Median Polish of a Matrix
model.extract | Extract Components from a Model Frame
model.frame | Extracting the ``Environment'' of a Model Formula
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
mood.test | Mood Two-Sample Test of Scale
Multinomial | The Multinomial Distribution

## -- 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
names.dist | Distance Matrix Computation
napredict | Adjust for Missing Values
naprint | Adjust for Missing Values
naresid | Adjust for Missing Values
NegBinomial | The Negative Binomial Distribution
nhtemp | Average Yearly Temperatures in New Haven
Nile | Flow of the River Nile
nlm | Non-Linear Minimization
nls | Nonlinear Least Squares
nls.control | Control the Iterations in nls
nlsModel | Create an nlsModel Object
NLSstAsymptotic | Fit the Asymptotic Regression Model
NLSstClosestX | Inverse Interpolation
NLSstLfAsymptote | Horizontal Asymptote on the Left Side
NLSstRtAsymptote | Horizontal Asymptote on the Right Side
Normal | The Normal Distribution
nottem | Average Monthly Temperatures at Nottingham, 1920-1939
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
optimise | One Dimensional Optimization
optimize | One Dimensional Optimization
Orange | Growth of orange trees
order.dendrogram | Get the ordering of the leaves in a dendrogram

## -- P --

p.adjust | Adjust p-values for multiple comparisons
pacf | Auto- and Cross- Covariance and -Correlation Function Estimation
pairwise.prop.test | Pairwise comparisons of 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 | Hierarchical Clustering
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.mlm | 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.stepfun | Plot Step Functions
plot.stl | Methods for STL Objects
plot.ts | Plotting Time-Series 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
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 two sample test for of 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.mlm | Predict method for Linear Model Fits
predict.nls | Predicting from Nonlinear Least Squares Fits
predict.poly | Compute Orthogonal Polynomials
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 Objeect
presidents | Quarterly Approval Ratings of US Presidents
princomp | Principal Components Analysis
print.anova | Anova Tables
print.aov | Fit an Analysis of Variance Model
print.aovlist | 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.dummy.coef | Extract Coefficients in Original Coding
print.ecdf | Empirical Cumulative Distribution Function
print.factanal | Print Loadings in Factor Analysis
print.family | Family Objects for Models
print.formula | Model Formulae
print.ftable | Flat Contingency Tables
print.glm | Fitting Generalized Linear Models
print.hclust | Hierarchical Clustering
print.infl | Regression Deletion Diagnostics
print.integrate | Integration of One-Dimensional Functions
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.aovlist | 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.prcomp | Principal Components Analysis
print.summary.princomp | Summary method for Principal Components Analysis
print.terms | Model Terms
print.ts | Printing 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
profiler | Constructor for Profiler Objects for Nonlinear Models
profiler.nls | Constructor for Profiler Objects from nls Objects
proj | Projections of Models
promax | Rotation Methods for Factor Analysis
prop.test | Test for 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
Puromycin | Reaction velocity of an enzymatic reaction
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
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 --

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 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.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
rock | Measurements on Petroleum Rock Samples
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

## -- S --

SafePrediction | Utility Function for Safe Prediction
scatter.smooth | Scatter Plot with Smooth Curve Fitted by Loess
screeplot | Screeplot of PCA Results
sd | Standard Deviation
se.contrast | Standard Errors for Contrasts in Model Terms
Seatbelts | Road Casualties in Great Britain 1969-84
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
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
SSasymp | Asymptotic Regression Model
SSasympOff | Asymptotic Regression Model with an Offset
SSasympOrig | Asymptotic Regression Model through the Origin
SSbiexp | Biexponential model
SSfol | First-order Compartment Model
SSfpl | Four-parameter Logistic Model
SSgompertz | Gompertz Growth Model
SSlogis | Logistic Model
SSmicmen | Michaelis-Menten Model
SSweibull | Weibull growth curve model
start | Encode the Terminal Times of Time Series
stat.anova | GLM Anova Statistics
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.aovlist | Summarize an Analysis of Variance Model
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.mlm | Summarizing Linear Model Fits
summary.prcomp | Principal Components Analysis
summary.princomp | Summary method for Principal Components Analysis
summary.stepfun | Step Function Class
sunspot | Yearly Sunspot Data, 1700-1988, and Monthly Sunspot Data, 1749-1997
sunspots | Monthly Sunspot Numbers, 1749-1983
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
terms.terms | Model Terms
Theoph | Pharmacokinetics of theophylline
time | Sampling Times of Time Series
toeplitz | Form Symmetric Toeplitz Matrix
treering | Yearly Treering Data, -6000-1979
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 --

UKDriverDeaths | Road Casualties in Great Britain 1969-84
UKgas | UK Quarterly Gas Consumption
UKLungDeaths | Monthly Deaths from Lung Diseases in the UK
Uniform | The Uniform Distribution
uniroot | One Dimensional Root (Zero) Finding
update | Update and Re-fit a Model Call
update.formula | Model Updating
USAccDeaths | Accidental Deaths in the US 1973-1978
uspop | Populations Recorded by the US Census

## -- V --

var | Correlation, Variance and Covariance (Matrices)
var.test | F Test to Compare Two Variances
variable.names | Case and Variable Names of Fitted Models
varimax | Rotation Methods for Factor Analysis
vcov | Calculate Variance-Covariance Matrix for a Fitted Model Object

## -- W --

Weibull | The Weibull Distribution
weighted.mean | Weighted Arithmetic Mean
weighted.residuals | Compute Weighted Residuals
weights | Accessing Linear Model Fits
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
WWWusage | Internet Usage per Minute

## -- X --

xtabs | Cross Tabulation

## -- misc --

[.acf | Auto- and Cross- Covariance and -Correlation Function Estimation
[.formula | Model Formulae
[.terms | Modify Terms Objects
[.ts | Time-Series Objects
[[.dendrogram | General Tree Structures