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stats (version 3.2.2)
The R Stats Package
Description
R statistical functions.
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@VERSION@
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Version
3.2.2
License
Part of R 3.2.2
Maintainer
R-core R-core@R-project.org
Last Published
January 1st, 1970
Functions in stats (3.2.2)
Search functions
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