stats v3.1.2

The R Stats Package

R statistical functions

Functions in stats

Name Description
aggregate Compute Summary Statistics of Data Subsets
AIC Akaike's An Information Criterion
approxfun Interpolation Functions
anova.glm Analysis of Deviance for Generalized Linear Model Fits
acf2AR Compute an AR Process Exactly Fitting an ACF
add1 Add or Drop All Possible Single Terms to a Model
anova.lm ANOVA for Linear Model Fits
acf Auto- and Cross- Covariance and -Correlation Function Estimation
anova Anova Tables
addmargins Puts Arbitrary Margins on Multidimensional Tables or Arrays
ar Fit Autoregressive Models to Time Series
bartlett.test Bartlett Test of Homogeneity of Variances
ARMAtoMA Convert ARMA Process to Infinite MA Process
arima.sim Simulate from an ARIMA Model
ARMAacf Compute Theoretical ACF for an ARMA Process
ave Group Averages Over Level Combinations of Factors
asOneSidedFormula Convert to One-Sided Formula
binom.test Exact Binomial Test
arima ARIMA Modelling of Time Series
arima0 ARIMA Modelling of Time Series -- Preliminary Version
.checkMFClasses Functions to Check the Type of Variables passed to Model Frames
birthday Probability of coincidences
case+variable.names Case and Variable Names of Fitted Models
chisq.test Pearson's Chi-squared Test for Count Data
Chisquare The (non-central) Chi-Squared Distribution
Cauchy The Cauchy Distribution
Binomial The Binomial Distribution
coef Extract Model Coefficients
biplot.princomp Biplot for Principal Components
biplot Biplot of Multivariate Data
deriv Symbolic and Algorithmic Derivatives of Simple Expressions
cutree Cut a Tree into Groups of Data
complete.cases Find Complete Cases
dendrapply Apply a Function to All Nodes of a Dendrogram
cov.wt Weighted Covariance Matrices
density Kernel Density Estimation
constrOptim Linearly Constrained Optimization
deviance Model Deviance
delete.response Modify Terms Objects
convolve Convolution of Sequences via FFT
ecdf Empirical Cumulative Distribution Function
eff.aovlist Compute Efficiencies of Multistratum Analysis of Variance
effects Effects from Fitted Model
factor.scope Compute Allowed Changes in Adding to or Dropping from a Formula
diffinv Discrete Integration: Inverse of Differencing
df.residual Residual Degrees-of-Freedom
embed Embedding a Time Series
expand.model.frame Add new variables to a model frame
Distributions Distributions in the stats package
dummy.coef Extract Coefficients in Original Coding
formula.nls Extract Model Formula from nls Object
friedman.test Friedman Rank Sum Test
filter Linear Filtering on a Time Series
fitted Extract Model Fitted Values
ftable.formula Formula Notation for Flat Contingency Tables
fligner.test Fligner-Killeen Test of Homogeneity of Variances
ftable Flat Contingency Tables
FDist The F Distribution
formula Model Formulae
fivenum Tukey Five-Number Summaries
getInitial Get Initial Parameter Estimates
Hypergeometric The Hypergeometric Distribution
Geometric The Geometric Distribution
glm.summaries Accessing Generalized Linear Model Fits
glm.control Auxiliary for Controlling GLM Fitting
integrate Integration of One-Dimensional Functions
interaction.plot Two-way Interaction Plot
identify.hclust Identify Clusters in a Dendrogram
influence.measures Regression Deletion Diagnostics
HoltWinters Holt-Winters Filtering
kernapply Apply Smoothing Kernel
KalmanLike Kalman Filtering
lag Lag a Time Series
Logistic The Logistic Distribution
loess Local Polynomial Regression Fitting
loess.control Set Parameters for Loess
ks.test Kolmogorov-Smirnov Tests
lsfit Find the Least Squares Fit
loadings Print Loadings in Factor Analysis
mahalanobis Mahalanobis Distance
naprint Adjust for Missing Values
NegBinomial The Negative Binomial Distribution
NLSstRtAsymptote Horizontal Asymptote on the Right Side Create a Link for GLM Families
nobs Extract the Number of Observations from a Fit.
makepredictcall Utility Function for Safe Prediction
nextn Highly Composite Numbers
pairwise.prop.test Pairwise comparisons for proportions
nlm Non-Linear Minimization
pairwise.t.test Pairwise t tests
plot.ts Plotting Time-Series Objects
ppoints Ordinates for Probability Plotting
Poisson The Poisson Distribution
mauchly.test Mauchly's Test of Sphericity
prcomp Principal Components Analysis
mood.test Mood Two-Sample Test of Scale
monthplot Plot a Seasonal or other Subseries from a Time Series
mcnemar.test McNemar's Chi-squared Test for Count Data
numericDeriv Evaluate Derivatives Numerically
Normal The Normal Distribution
oneway.test Test for Equal Means in a One-Way Layout
plot.stepfun Plot Step Functions
plot.spec Plotting Spectral Densities
optimize One Dimensional Optimization
profile.nls Method for Profiling nls Objects
printCoefmat Print Coefficient Matrices
power.t.test Power calculations for one and two sample t tests
PP.test Phillips-Perron Test for Unit Roots
read.ftable Manipulate Flat Contingency Tables
IQR The Interquartile Range
Lognormal The Log Normal Distribution
is.empty.model Test if a Model's Formula is Empty
median Median Value
lowess Scatter Plot Smoothing
medpolish Median Polish of a Matrix
Multinom The Multinomial Distribution
na.action NA Action
lag.plot Time Series Lag Plots
NLSstClosestX Inverse Interpolation
line Robust Line Fitting
ls.diag Compute Diagnostics for lsfit Regression Results
ls.print Print lsfit Regression Results
model.matrix Construct Design Matrices
mantelhaen.test Cochran-Mantel-Haenszel Chi-Squared Test for Count Data
manova Multivariate Analysis of Variance
NLSstLfAsymptote Horizontal Asymptote on the Left Side
model.tables Compute Tables of Results from an Aov Model Fit
predict.HoltWinters Prediction Function for Fitted Holt-Winters Models
predict.glm Predict Method for GLM Fits
relevel Reorder Levels of Factor
reorder.dendrogram Reorder a Dendrogram
smoothEnds End Points Smoothing (for Running Medians)
predict.loess Predict Loess Curve or Surface
rWishart Random Wishart Distributed Matrices
runmed Running Medians -- Robust Scatter Plot Smoothing
quade.test Quade Test
predict.nls Predicting from Nonlinear Least Squares Fits
r2dtable Random 2-way Tables with Given Marginals
residuals Extract Model Residuals
reshape Reshape Grouped Data
rect.hclust Draw Rectangles Around Hierarchical Clusters
shapiro.test Shapiro-Wilk Normality Test
se.contrast Standard Errors for Contrasts in Model Terms
sd Standard Deviation
SignRank Distribution of the Wilcoxon Signed Rank Statistic
SSfpl Self-Starting Nls Four-Parameter Logistic Model
stats-package The R Stats Package
stats-deprecated Deprecated Functions in Package stats
SSgompertz Self-Starting Nls Gompertz Growth Model
tsSmooth Use Fixed-Interval Smoothing on Time Series
sortedXyData Create a sortedXyData Object
stlmethods Methods for STL Objects
SSfol Self-Starting Nls First-order Compartment Model
SSD SSD Matrix and Estimated Variance Matrix in Multivariate Models
StructTS Fit Structural Time Series
summary.manova Summary Method for Multivariate Analysis of Variance
summary.lm Summarizing Linear Model Fits
poisson.test Exact Poisson tests
plot.density Plot Method for Kernel Density Estimation
plot.acf Plot Autocovariance and Autocorrelation Functions
power.anova.test Power Calculations for Balanced One-Way Analysis of Variance Tests
predict.smooth.spline Predict from Smoothing Spline Fit
preplot Pre-computations for a Plotting Object
selfStart Construct Self-starting Nonlinear Models
listof A Class for Lists of (Parts of) Model Fits Fitter Functions for Linear Models
lm.summaries Accessing Linear Model Fits
lm.influence Regression Diagnostics Handle Missing Values in Objects
na.contiguous Find Longest Contiguous Stretch of non-NAs
setNames Set the Names in an Object
SSasympOrig Self-Starting Nls Asymptotic Regression Model through the Origin
smooth.spline Fit a Smoothing Spline
smooth Tukey's (Running Median) Smoothing
SSbiexp Self-Starting Nls Biexponential model
stepfun Step Function Class
summary.aov Summarize an Analysis of Variance Model
stl Seasonal Decomposition of Time Series by Loess
ts.union Bind Two or More Time Series
summary.glm Summarizing Generalized Linear Model Fits
pairwise.table Tabulate p values for pairwise comparisons
plot.isoreg Plot Method for isoreg Objects
pairwise.wilcox.test Pairwise Wilcoxon Rank Sum Tests
plot.HoltWinters Plot function for HoltWinters objects
predict.lm Predict method for Linear Model Fits
predict Model Predictions
SSasympOff Self-Starting Nls Asymptotic Regression Model with an Offset
SSasymp Self-Starting Nls Asymptotic Regression Model
start Encode the Terminal Times of Time Series
SSweibull Self-Starting Nls Weibull Growth Curve Model
TDist The Student t Distribution
terms.formula Construct a terms Object from a Formula
varimax Rotation Methods for Factor Analysis
var.test F Test to Compare Two Variances
Weibull The Weibull Distribution
Tukey The Studentized Range Distribution
weighted.mean Weighted Arithmetic Mean
nls.control Control the Iterations in nls
order.dendrogram Ordering or Labels of the Leaves in a Dendrogram
NLSstAsymptotic Fit the Asymptotic Regression Model
p.adjust Adjust P-values for Multiple Comparisons
plot.ppr Plot Ridge Functions for Projection Pursuit Regression Fit
power.prop.test Power Calculations for Two-Sample Test for Proportions
power Create a Power Link Object
plot.profile.nls Plot a profile.nls Object
print.ts Printing and Formatting of Time-Series Objects
print.power.htest Print method for power calculation object
ts-methods Methods for Time Series Objects
toeplitz Form Symmetric Toeplitz Matrix
weighted.residuals Compute Weighted Residuals
weights Extract Model Weights
tsdiag Diagnostic Plots for Time-Series Fits
C Sets Contrasts for a Factor
update.formula Model Updating
reorder.default Reorder Levels of a Factor
update Update and Re-fit a Model Call
replications Number of Replications of Terms
spectrum Spectral Density Estimation
SSlogis Self-Starting Nls Logistic Model
splinefun Interpolating Splines
SSmicmen Self-Starting Nls Michaelis-Menten Model
t.test Student's t-Test
symnum Symbolic Number Coding
Uniform The Uniform Distribution
time Sampling Times of Time Series
terms Model Terms
uniroot One Dimensional Root (Zero) Finding
proj Projections of Models
prop.test Test of Equal or Given Proportions
prop.trend.test Test for trend in proportions
qqnorm Quantile-Quantile Plots
scatter.smooth Scatter Plot with Smooth Curve Fitted by Loess Estimate Spectral Density of a Time Series from AR Fit
screeplot Screeplots
stat.anova GLM Anova Statistics
spec.taper Taper a Time Series by a Cosine Bell
stats-defunct Defunct Functions in Package stats
summary.nls Summarizing Non-Linear Least-Squares Model Fits
summary.princomp Summary method for Principal Components Analysis
ts Time-Series Objects
ts.plot Plot Multiple Time Series
Wilcoxon Distribution of the Wilcoxon Rank Sum Statistic
window Time Windows
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