stats v3.2.5

The R Stats Package

R statistical functions.

Functions in stats

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