stats v3.1.3

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

Details

Priority base
License Part of R 3.1.3

Include our badge in your README

[![Rdoc](http://www.rdocumentation.org/badges/version/stats)](http://www.rdocumentation.org/packages/stats)