stats v3.2.4

The R Stats Package

R statistical functions.

Functions in stats

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