stats v3.1.1

The R Stats Package

R statistical functions

Functions in stats

Name Description
acf Auto- and Cross- Covariance and -Correlation Function Estimation
anova.lm ANOVA for Linear Model Fits
anova Anova Tables
acf2AR Compute an AR Process Exactly Fitting an ACF
anova.glm Analysis of Deviance for Generalized Linear Model Fits
approxfun Interpolation Functions
AIC Akaike's An Information Criterion
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
ARMAacf Compute Theoretical ACF for an ARMA Process
binom.test Exact Binomial Test
bartlett.test Bartlett Test of Homogeneity of Variances
ave Group Averages Over Level Combinations of Factors
asOneSidedFormula Convert to One-Sided Formula
ARMAtoMA Convert ARMA Process to Infinite MA Process
ar Fit Autoregressive Models to Time Series
arima0 ARIMA Modelling of Time Series -- Preliminary Version
arima.sim Simulate from an ARIMA Model
arima ARIMA Modelling of Time Series
Chisquare The (non-central) Chi-Squared Distribution
coef Extract Model Coefficients
case+variable.names Case and Variable Names of Fitted Models
.checkMFClasses Functions to Check the Type of Variables passed to Model Frames
chisq.test Pearson's Chi-squared Test for Count Data
biplot Biplot of Multivariate Data
Binomial The Binomial Distribution
Cauchy The Cauchy Distribution
birthday Probability of coincidences
biplot.princomp Biplot for Principal Components
deriv Symbolic and Algorithmic Derivatives of Simple Expressions
ecdf Empirical Cumulative Distribution Function
deviance Model Deviance
fitted Extract Model Fitted Values
eff.aovlist Compute Efficiencies of Multistratum Analysis of Variance
Hypergeometric The Hypergeometric Distribution
HoltWinters Holt-Winters Filtering
fivenum Tukey Five-Number Summaries
density Kernel Density Estimation
dendrapply Apply a Function to All Nodes of a Dendrogram
effects Effects from Fitted Model
embed Embedding a Time Series
getInitial Get Initial Parameter Estimates
Geometric The Geometric Distribution
Logistic The Logistic Distribution
lag Lag a Time Series
ks.test Kolmogorov-Smirnov Tests
makepredictcall Utility Function for Safe Prediction
Lognormal The Log Normal Distribution
manova Multivariate Analysis of Variance
cutree Cut a Tree into Groups of Data
expand.model.frame Add new variables to a model frame
delete.response Modify Terms Objects
ftable Flat Contingency Tables
ftable.formula Formula Notation for Flat Contingency Tables
factor.scope Compute Allowed Changes in Adding to or Dropping from a Formula
influence.measures Regression Deletion Diagnostics
identify.hclust Identify Clusters in a Dendrogram
kernapply Apply Smoothing Kernel
KalmanLike Kalman Filtering
complete.cases Find Complete Cases
diffinv Discrete Integration: Inverse of Differencing
fligner.test Fligner-Killeen Test of Homogeneity of Variances
df.residual Residual Degrees-of-Freedom
constrOptim Linearly Constrained Optimization
interaction.plot Two-way Interaction Plot
integrate Integration of One-Dimensional Functions
formula Model Formulae
lm.influence Regression Diagnostics
lm.summaries Accessing Linear Model Fits
lsfit Find the Least Squares Fit
ls.print Print lsfit Regression Results
na.action NA Action
mcnemar.test McNemar's Chi-squared Test for Count Data
Multinom The Multinomial Distribution
median Median Value
model.extract Extract Components from a Model Frame Fitter Functions for Linear Models
loadings Print Loadings in Factor Analysis
medpolish Median Polish of a Matrix
model.tables Compute Tables of Results from an Aov Model Fit
model.matrix Construct Design Matrices
plot.density Plot Method for Kernel Density Estimation
plot.acf Plot Autocovariance and Autocorrelation Functions
Poisson The Poisson Distribution
plot.ts Plotting Time-Series Objects
NegBinomial The Negative Binomial Distribution
naprint Adjust for Missing Values
nextn Highly Composite Numbers
nlm Non-Linear Minimization
oneway.test Test for Equal Means in a One-Way Layout
optimize One Dimensional Optimization
plot.spec Plotting Spectral Densities
plot.stepfun Plot Step Functions
predict.nls Predicting from Nonlinear Least Squares Fits
predict.loess Predict Loess Curve or Surface
nls.control Control the Iterations in nls
NLSstAsymptotic Fit the Asymptotic Regression Model
plot.profile.nls Plot a profile.nls Object
plot.ppr Plot Ridge Functions for Projection Pursuit Regression Fit
predict Model Predictions
print.ts Printing and Formatting of Time-Series Objects
print.power.htest Print method for power calculation object
predict.lm Predict method for Linear Model Fits
dummy.coef Extract Coefficients in Original Coding
Distributions Distributions in the stats package
formula.nls Extract Model Formula from nls Object
IQR The Interquartile Range
friedman.test Friedman Rank Sum Test
is.empty.model Test if a Model's Formula is Empty
quantile Sample Quantiles
quade.test Quade Test
residuals Extract Model Residuals
runmed Running Medians -- Robust Scatter Plot Smoothing
smooth Tukey's (Running Median) Smoothing
SignRank Distribution of the Wilcoxon Signed Rank Statistic
lowess Scatter Plot Smoothing
ls.diag Compute Diagnostics for lsfit Regression Results
mahalanobis Mahalanobis Distance Create a Link for GLM Families
monthplot Plot a Seasonal or other Subseries from a Time Series
nobs Extract the Number of Observations from a Fit.
NLSstRtAsymptote Horizontal Asymptote on the Right Side
mood.test Mood Two-Sample Test of Scale
pairwise.t.test Pairwise t tests
pairwise.prop.test Pairwise comparisons for proportions
SSbiexp Self-Starting Nls Biexponential model
SSD SSD Matrix and Estimated Variance Matrix in Multivariate Models
stl Seasonal Decomposition of Time Series by Loess
stlmethods Methods for STL Objects
StructTS Fit Structural Time Series
summary.aov Summarize an Analysis of Variance Model
ts-methods Methods for Time Series Objects
ts Time-Series Objects
update Update and Re-fit a Model Call
update.formula Model Updating
SSfol Self-Starting Nls First-order Compartment Model
read.ftable Manipulate Flat Contingency Tables
r2dtable Random 2-way Tables with Given Marginals
SSfpl Self-Starting Nls Four-Parameter Logistic Model
stat.anova GLM Anova Statistics
start Encode the Terminal Times of Time Series
loess Local Polynomial Regression Fitting
summary.glm Summarizing Generalized Linear Model Fits
loess.control Set Parameters for Loess
na.contiguous Find Longest Contiguous Stretch of non-NAs Handle Missing Values in Objects
Normal The Normal Distribution
order.dendrogram Ordering or Labels of the Leaves in a Dendrogram
numericDeriv Evaluate Derivatives Numerically
p.adjust Adjust P-values for Multiple Comparisons
PP.test Phillips-Perron Test for Unit Roots
power.t.test Power calculations for one and two sample t tests
prop.test Test of Equal or Given Proportions
proj Projections of Models
rect.hclust Draw Rectangles Around Hierarchical Clusters
cov.wt Weighted Covariance Matrices
convolve Convolution of Sequences via FFT
FDist The F Distribution
filter Linear Filtering on a Time Series
glm.summaries Accessing Generalized Linear Model Fits
glm.control Auxiliary for Controlling GLM Fitting
line Robust Line Fitting
lag.plot Time Series Lag Plots
mauchly.test Mauchly's Test of Sphericity
mantelhaen.test Cochran-Mantel-Haenszel Chi-Squared Test for Count Data
plot.HoltWinters Plot function for HoltWinters objects
power Create a Power Link Object
power.prop.test Power Calculations for Two-Sample Test for Proportions
plot.isoreg Plot Method for isoreg Objects
printCoefmat Print Coefficient Matrices
profile.nls Method for Profiling nls Objects
screeplot Screeplots
sd Standard Deviation
smooth.spline Fit a Smoothing Spline
smoothEnds End Points Smoothing (for Running Medians)
summary.lm Summarizing Linear Model Fits
tsdiag Diagnostic Plots for Time-Series Fits
var.test F Test to Compare Two Variances
tsp Tsp Attribute of Time-Series-like Objects
weighted.residuals Compute Weighted Residuals
varimax Rotation Methods for Factor Analysis
C Sets Contrasts for a Factor
weights Extract Model Weights
SSasymp Self-Starting Nls Asymptotic Regression Model
splinefun Interpolating Splines
stats-package The R Stats Package
stepfun Step Function Class
toeplitz Form Symmetric Toeplitz Matrix
time Sampling Times of Time Series
weighted.mean Weighted Arithmetic Mean
Weibull The Weibull Distribution
NLSstClosestX Inverse Interpolation
NLSstLfAsymptote Horizontal Asymptote on the Left Side
pairwise.table Tabulate p values for pairwise comparisons
pairwise.wilcox.test Pairwise Wilcoxon Rank Sum Tests
poisson.test Exact Poisson tests
power.anova.test Power Calculations for Balanced One-Way Analysis of Variance Tests
ppoints Ordinates for Probability Plotting
prcomp Principal Components Analysis
predict.smooth.spline Predict from Smoothing Spline Fit
relevel Reorder Levels of Factor
replications Number of Replications of Terms
reshape Reshape Grouped Data
spec.taper Taper a Time Series by a Cosine Bell
SSmicmen Self-Starting Nls Michaelis-Menten Model
spectrum Spectral Density Estimation
SSweibull Self-Starting Nls Weibull Growth Curve Model
t.test Student's t-Test
TDist The Student t Distribution
reorder.default Reorder Levels of a Factor
predict.HoltWinters Prediction Function for Fitted Holt-Winters Models
reorder.dendrogram Reorder a Dendrogram
predict.glm Predict Method for GLM Fits
rWishart Random Wishart Distributed Matrices
scatter.smooth Scatter Plot with Smooth Curve Fitted by Loess Estimate Spectral Density of a Time Series from AR Fit
sortedXyData Create a sortedXyData Object
SSgompertz Self-Starting Nls Gompertz Growth Model
SSlogis Self-Starting Nls Logistic Model
terms.formula Construct a terms Object from a Formula
terms Model Terms
preplot Pre-computations for a Plotting Object
qqnorm Quantile-Quantile Plots
prop.trend.test Test for trend in proportions
se.contrast Standard Errors for Contrasts in Model Terms
setNames Set the Names in an Object
selfStart Construct Self-starting Nonlinear Models
shapiro.test Shapiro-Wilk Normality Test
SSasympOff Self-Starting Nls Asymptotic Regression Model with an Offset
SSasympOrig Self-Starting Nls Asymptotic Regression Model through the Origin
stats-defunct Defunct Functions in Package stats
symnum Symbolic Number Coding
summary.princomp Summary method for Principal Components Analysis
tsSmooth Use Fixed-Interval Smoothing on Time Series
Tukey The Studentized Range Distribution
Wilcoxon Distribution of the Wilcoxon Rank Sum Statistic
stats-deprecated Deprecated Functions in Package stats
window Time Windows
summary.manova Summary Method for Multivariate Analysis of Variance
ts.plot Plot Multiple Time Series
summary.nls Summarizing Non-Linear Least-Squares Model Fits
ts.union Bind Two or More Time Series
Uniform The Uniform Distribution
uniroot One Dimensional Root (Zero) Finding
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