stats v3.3

The R Stats Package

R statistical functions.

Functions in stats

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