stats v3.2.2

The R Stats Package

R statistical functions.

Functions in stats

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