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stats (version 3.2.4)
The R Stats Package
Description
R statistical functions.
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@VERSION@
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Version
3.2.4
License
Part of R 3.2.4
Maintainer
R-core R-core@R-project.org
Last Published
January 1st, 1970
Functions in stats (3.2.4)
Search functions
anova
Anova Tables
aggregate
Compute Summary Statistics of Data Subsets
acf
Auto- and Cross- Covariance and -Correlation Function Estimation
anova.glm
Analysis of Deviance for Generalized Linear Model Fits
add1
Add or Drop All Possible Single Terms to a Model
AIC
Akaike's An Information Criterion
addmargins
Puts Arbitrary Margins on Multidimensional Tables or Arrays
anova.lm
ANOVA for Linear Model Fits
acf2AR
Compute an AR Process Exactly Fitting an ACF
alias
Find Aliases (Dependencies) in a Model
arima0
ARIMA Modelling of Time Series -- Preliminary Version
anova.mlm
Comparisons between Multivariate Linear Models
arima
ARIMA Modelling of Time Series
arima.sim
Simulate from an ARIMA Model
ansari.test
Ansari-Bradley Test
aov
Fit an Analysis of Variance Model
ar.ols
Fit Autoregressive Models to Time Series by OLS
ARMAacf
Compute Theoretical ACF for an ARMA Process
approxfun
Interpolation Functions
ar
Fit Autoregressive Models to Time Series
biplot
Biplot of Multivariate Data
ARMAtoMA
Convert ARMA Process to Infinite MA Process
ave
Group Averages Over Level Combinations of Factors
binom.test
Exact Binomial Test
bandwidth
Bandwidth Selectors for Kernel Density Estimation
Binomial
The Binomial Distribution
asOneSidedFormula
Convert to One-Sided Formula
Beta
The Beta Distribution
as.hclust
Convert Objects to Class hclust
bartlett.test
Bartlett Test of Homogeneity of Variances
Box.test
Box-Pierce and Ljung-Box Tests
Cauchy
The Cauchy Distribution
biplot.princomp
Biplot for Principal Components
Chisquare
The (non-central) Chi-Squared Distribution
cmdscale
Classical (Metric) Multidimensional Scaling
cancor
Canonical Correlations
birthday
Probability of coincidences
case+variable.names
Case and Variable Names of Fitted Models
.checkMFClasses
Functions to Check the Type of Variables passed to Model Frames
chisq.test
Pearson's Chi-squared Test for Count Data
confint
Confidence Intervals for Model Parameters
convolve
Convolution of Sequences via FFT
contrast
(Possibly Sparse) Contrast Matrices
contrasts
Get and Set Contrast Matrices
coef
Extract Model Coefficients
cophenetic
Cophenetic Distances for a Hierarchical Clustering
cor.test
Test for Association/Correlation Between Paired Samples
complete.cases
Find Complete Cases
cor
Correlation, Variance and Covariance (Matrices)
constrOptim
Linearly Constrained Optimization
df.residual
Residual Degrees-of-Freedom
cpgram
Plot Cumulative Periodogram
cutree
Cut a Tree into Groups of Data
cov.wt
Weighted Covariance Matrices
delete.response
Modify Terms Objects
decompose
Classical Seasonal Decomposition by Moving Averages
deriv
Symbolic and Algorithmic Derivatives of Simple Expressions
density
Kernel Density Estimation
dendrapply
Apply a Function to All Nodes of a Dendrogram
deviance
Model Deviance
expand.model.frame
Add new variables to a model frame
extractAIC
Extract AIC from a Fitted Model
effects
Effects from Fitted Model
eff.aovlist
Compute Efficiencies of Multistratum Analysis of Variance
ecdf
Empirical Cumulative Distribution Function
embed
Embedding a Time Series
dummy.coef
Extract Coefficients in Original Coding
Distributions
Distributions in the stats package
diffinv
Discrete Integration: Inverse of Differencing
dist
Distance Matrix Computation
fitted
Extract Model Fitted Values
fivenum
Tukey Five-Number Summaries
GammaDist
The Gamma Distribution
is.empty.model
Test if a Model's Formula is Empty
Geometric
The Geometric Distribution
IQR
The Interquartile Range
FDist
The F Distribution
fft
Fast Discrete Fourier Transform (FFT)
getInitial
Get Initial Parameter Estimates
glm.control
Auxiliary for Controlling GLM Fitting
kernapply
Apply Smoothing Kernel
kernel
Smoothing Kernel Objects
factor.scope
Compute Allowed Changes in Adding to or Dropping from a Formula
Hypergeometric
The Hypergeometric Distribution
HoltWinters
Holt-Winters Filtering
family
Family Objects for Models
isoreg
Isotonic / Monotone Regression
KalmanLike
Kalman Filtering
listof
A Class for Lists of (Parts of) Model Fits
line
Robust Line Fitting
filter
Linear Filtering on a Time Series
fisher.test
Fisher's Exact Test for Count Data
glm
Fitting Generalized Linear Models
influence.measures
Regression Deletion Diagnostics
identify.hclust
Identify Clusters in a Dendrogram
glm.summaries
Accessing Generalized Linear Model Fits
ksmooth
Kernel Regression Smoother
ks.test
Kolmogorov-Smirnov Tests
loess.control
Set Parameters for Loess
loadings
Print Loadings in Factor Analysis
loglin
Fitting Log-Linear Models
Lognormal
The Log Normal Distribution
model.extract
Extract Components from a Model Frame
medpolish
Median Polish of a Matrix
NegBinomial
The Negative Binomial Distribution
oneway.test
Test for Equal Means in a One-Way Layout
nextn
Highly Composite Numbers
optim
General-purpose Optimization
pairwise.t.test
Pairwise t tests
pairwise.table
Tabulate p values for pairwise comparisons
kmeans
K-Means Clustering
lm.influence
Regression Diagnostics
kruskal.test
Kruskal-Wallis Rank Sum Test
lowess
Scatter Plot Smoothing
lm
Fitting Linear Models
model.tables
Compute Tables of Results from an Aov Model Fit
model.matrix
Construct Design Matrices
ls.diag
Compute Diagnostics for
lsfit
Regression Results
na.contiguous
Find Longest Contiguous Stretch of non-NAs
formula.nls
Extract Model Formula from nls Object
friedman.test
Friedman Rank Sum Test
heatmap
Draw a Heat Map
hclust
Hierarchical Clustering
lag.plot
Time Series Lag Plots
lag
Lag a Time Series
manova
Multivariate Analysis of Variance
makepredictcall
Utility Function for Safe Prediction
naresid
Adjust for Missing Values
mantelhaen.test
Cochran-Mantel-Haenszel Chi-Squared Test for Count Data
mauchly.test
Mauchly's Test of Sphericity
naprint
Adjust for Missing Values
NLSstClosestX
Inverse Interpolation
NLSstAsymptotic
Fit the Asymptotic Regression Model
plot.acf
Plot Autocovariance and Autocorrelation Functions
pairwise.wilcox.test
Pairwise Wilcoxon Rank Sum Tests
lm.summaries
Accessing Linear Model Fits
lm.fit
Fitter Functions for Linear Models
mcnemar.test
McNemar's Chi-squared Test for Count Data
nobs
Extract the Number of Observations from a Fit.
median
Median Value
Normal
The Normal Distribution
p.adjust
Adjust P-values for Multiple Comparisons
plot.spec
Plotting Spectral Densities
pairwise.prop.test
Pairwise comparisons for proportions
plot.stepfun
Plot Step Functions
power.t.test
Power calculations for one and two sample t tests
predict.smooth.spline
Predict from Smoothing Spline Fit
PP.test
Phillips-Perron Test for Unit Roots
prop.trend.test
Test for trend in proportions
preplot
Pre-computations for a Plotting Object
qqnorm
Quantile-Quantile Plots
replications
Number of Replications of Terms
smoothEnds
End Points Smoothing (for Running Medians)
reshape
Reshape Grouped Data
smooth.spline
Fit a Smoothing Spline
prcomp
Principal Components Analysis
predict.Arima
Forecast from ARIMA fits
print.ts
Printing and Formatting of Time-Series Objects
printCoefmat
Print Coefficient Matrices
profile
Generic Function for Profiling Models
profile.nls
Method for Profiling nls Objects
smooth
Tukey's (Running Median) Smoothing
SignRank
Distribution of the Wilcoxon Signed Rank Statistic
spectrum
Spectral Density Estimation
fligner.test
Fligner-Killeen Test of Homogeneity of Variances
ftable.formula
Formula Notation for Flat Contingency Tables
formula
Model Formulae
integrate
Integration of One-Dimensional Functions
ftable
Flat Contingency Tables
interaction.plot
Two-way Interaction Plot
mahalanobis
Mahalanobis Distance
make.link
Create a Link for GLM Families
monthplot
Plot a Seasonal or other Subseries from a Time Series
mood.test
Mood Two-Sample Test of Scale
Multinom
The Multinomial Distribution
na.action
NA Action
plot.isoreg
Plot Method for isoreg Objects
plot.lm
Plot Diagnostics for an lm Object
predict
Model Predictions
predict.lm
Predict method for Linear Model Fits
r2dtable
Random 2-way Tables with Given Marginals
read.ftable
Manipulate Flat Contingency Tables
rWishart
Random Wishart Distributed Matrices
setNames
Set the Names in an Object
scatter.smooth
Scatter Plot with Smooth Curve Fitted by Loess
splinefun
Interpolating Splines
SSlogis
Self-Starting Nls Logistic Model
stl
Seasonal Decomposition of Time Series by Loess
SSmicmen
Self-Starting Nls Michaelis-Menten Model
stlmethods
Methods for STL Objects
ts
Time-Series Objects
ts.plot
Plot Multiple Time Series
Uniform
The Uniform Distribution
uniroot
One Dimensional Root (Zero) Finding
Logistic
The Logistic Distribution
logLik
Extract Log-Likelihood
lsfit
Find the Least Squares Fit
ls.print
Print
lsfit
Regression Results
nlm
Non-Linear Minimization
nls.control
Control the Iterations in nls
NLSstLfAsymptote
Horizontal Asymptote on the Left Side
NLSstRtAsymptote
Horizontal Asymptote on the Right Side
optimize
One Dimensional Optimization
order.dendrogram
Ordering or Labels of the Leaves in a Dendrogram
na.fail
Handle Missing Values in Objects
offset
Include an Offset in a Model Formula
numericDeriv
Evaluate Derivatives Numerically
plot.density
Plot Method for Kernel Density Estimation
plot.HoltWinters
Plot function for HoltWinters objects
plot.ts
Plotting Time-Series Objects
Poisson
The Poisson Distribution
power
Create a Power Link Object
power.prop.test
Power Calculations for Two-Sample Test for Proportions
princomp
Principal Components Analysis
poisson.test
Exact Poisson tests
ppoints
Ordinates for Probability Plotting
power.anova.test
Power Calculations for Balanced One-Way Analysis of Variance Tests
predict.loess
Predict Loess Curve or Surface
ppr
Projection Pursuit Regression
predict.nls
Predicting from Nonlinear Least Squares Fits
prop.test
Test of Equal or Given Proportions
proj
Projections of Models
rect.hclust
Draw Rectangles Around Hierarchical Clusters
relevel
Reorder Levels of Factor
spec.pgram
Estimate Spectral Density of a Time Series by a Smoothed Periodogram
spec.taper
Taper a Time Series by a Cosine Bell
SSfpl
Self-Starting Nls Four-Parameter Logistic Model
SSgompertz
Self-Starting Nls Gompertz Growth Model
summary.aov
Summarize an Analysis of Variance Model
StructTS
Fit Structural Time Series
terms
Model Terms
terms.formula
Construct a terms Object from a Formula
tsp
Tsp Attribute of Time-Series-like Objects
print.power.htest
Print Methods for Hypothesis Tests and Power Calculation Objects
tsSmooth
Use Fixed-Interval Smoothing on Time Series
quade.test
Quade Test
quantile
Sample Quantiles
screeplot
Screeplots
reorder.default
Reorder Levels of a Factor
reorder.dendrogram
Reorder a Dendrogram
SSasymp
Self-Starting Nls Asymptotic Regression Model
sd
Standard Deviation
SSasympOff
Self-Starting Nls Asymptotic Regression Model with an Offset
var.test
F Test to Compare Two Variances
varimax
Rotation Methods for Factor Analysis
weighted.mean
Weighted Arithmetic Mean
weighted.residuals
Compute Weighted Residuals
SSweibull
Self-Starting Nls Weibull Growth Curve Model
spec.ar
Estimate Spectral Density of a Time Series from AR Fit
sortedXyData
Create a
sortedXyData
Object
start
Encode the Terminal Times of Time Series
step
Choose a model by AIC in a Stepwise Algorithm
symnum
Symbolic Number Coding
stepfun
Step Functions - Creation and Class
t.test
Student's t-Test
ts.union
Bind Two or More Time Series
tsdiag
Diagnostic Plots for Time-Series Fits
SSasympOrig
Self-Starting Nls Asymptotic Regression Model through the Origin
shapiro.test
Shapiro-Wilk Normality Test
SSbiexp
Self-Starting Nls Biexponential model
stat.anova
GLM Anova Statistics
stats-defunct
Defunct Functions in Package
stats
stats-deprecated
Deprecated Functions in Package
stats
stats-package
The R Stats Package
summary.manova
Summary Method for Multivariate Analysis of Variance
summary.nls
Summarizing Non-Linear Least-Squares Model Fits
plot.ppr
Plot Ridge Functions for Projection Pursuit Regression Fit
predict.glm
Predict Method for GLM Fits
plot.profile.nls
Plot a profile.nls Object
predict.HoltWinters
Prediction Function for Fitted Holt-Winters Models
runmed
Running Medians -- Robust Scatter Plot Smoothing
residuals
Extract Model Residuals
se.contrast
Standard Errors for Contrasts in Model Terms
SSD
SSD Matrix and Estimated Variance Matrix in Multivariate Models
selfStart
Construct Self-starting Nonlinear Models
summary.glm
Summarizing Generalized Linear Model Fits
TDist
The Student t Distribution
summary.lm
Summarizing Linear Model Fits
terms.object
Description of Terms Objects
termplot
Plot Regression Terms
time
Sampling Times of Time Series
update
Update and Re-fit a Model Call
update.formula
Model Updating
weights
Extract Model Weights
SSfol
Self-Starting Nls First-order Compartment Model
summary.princomp
Summary method for Principal Components Analysis
supsmu
Friedman's SuperSmoother
toeplitz
Form Symmetric Toeplitz Matrix
Tukey
The Studentized Range Distribution
ts-methods
Methods for Time Series Objects
TukeyHSD
Compute Tukey Honest Significant Differences
C
Sets Contrasts for a Factor
Wilcoxon
Distribution of the Wilcoxon Rank Sum Statistic
vcov
Calculate Variance-Covariance Matrix for a Fitted Model Object
Weibull
The Weibull Distribution
window
Time Windows
wilcox.test
Wilcoxon Rank Sum and Signed Rank Tests