Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (3.6.2) of this package.
Take me there.
stats (version 3.1.1)
The R Stats Package
Description
R statistical functions
Copy Link
Link to current version
Version
Version
3.6.2
3.6.1
3.6.0
3.5.3
3.5.2
3.5.1
3.5.0
3.4.3
3.4.1
3.4.0
3.3.3
3.3.2
3.3.1
3.3
3.2.5
3.2.4
3.2.2
3.2.1
3.1.3
3.1.2
3.1.1
@VERSION@
Version
3.1.1
License
Part of R 3.1.1
Maintainer
R-core R-core@R-project.org
Last Published
December 12th, 2019
Functions in stats (3.1.1)
Search all functions
acf
Auto- and Cross- Covariance and -Correlation Function Estimation
anova.lm
ANOVA for Linear Model Fits
anova
Anova Tables
acf2AR
Compute an AR Process Exactly Fitting an ACF
anova.glm
Analysis of Deviance for Generalized Linear Model Fits
approxfun
Interpolation Functions
AIC
Akaike's An Information Criterion
add1
Add or Drop All Possible Single Terms to a Model
addmargins
Puts Arbitrary Margins on Multidimensional Tables or Arrays
aggregate
Compute Summary Statistics of Data Subsets
ARMAacf
Compute Theoretical ACF for an ARMA Process
binom.test
Exact Binomial Test
bartlett.test
Bartlett Test of Homogeneity of Variances
ave
Group Averages Over Level Combinations of Factors
asOneSidedFormula
Convert to One-Sided Formula
ARMAtoMA
Convert ARMA Process to Infinite MA Process
ar
Fit Autoregressive Models to Time Series
arima0
ARIMA Modelling of Time Series -- Preliminary Version
arima.sim
Simulate from an ARIMA Model
arima
ARIMA Modelling of Time Series
Chisquare
The (non-central) Chi-Squared Distribution
coef
Extract Model Coefficients
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
biplot
Biplot of Multivariate Data
Binomial
The Binomial Distribution
Cauchy
The Cauchy Distribution
birthday
Probability of coincidences
biplot.princomp
Biplot for Principal Components
deriv
Symbolic and Algorithmic Derivatives of Simple Expressions
ecdf
Empirical Cumulative Distribution Function
deviance
Model Deviance
fitted
Extract Model Fitted Values
eff.aovlist
Compute Efficiencies of Multistratum Analysis of Variance
Hypergeometric
The Hypergeometric Distribution
HoltWinters
Holt-Winters Filtering
fivenum
Tukey Five-Number Summaries
density
Kernel Density Estimation
dendrapply
Apply a Function to All Nodes of a Dendrogram
effects
Effects from Fitted Model
embed
Embedding a Time Series
getInitial
Get Initial Parameter Estimates
Geometric
The Geometric Distribution
Logistic
The Logistic Distribution
lag
Lag a Time Series
ks.test
Kolmogorov-Smirnov Tests
makepredictcall
Utility Function for Safe Prediction
Lognormal
The Log Normal Distribution
manova
Multivariate Analysis of Variance
cutree
Cut a Tree into Groups of Data
expand.model.frame
Add new variables to a model frame
delete.response
Modify Terms Objects
ftable
Flat Contingency Tables
ftable.formula
Formula Notation for Flat Contingency Tables
factor.scope
Compute Allowed Changes in Adding to or Dropping from a Formula
influence.measures
Regression Deletion Diagnostics
identify.hclust
Identify Clusters in a Dendrogram
kernapply
Apply Smoothing Kernel
KalmanLike
Kalman Filtering
complete.cases
Find Complete Cases
diffinv
Discrete Integration: Inverse of Differencing
fligner.test
Fligner-Killeen Test of Homogeneity of Variances
df.residual
Residual Degrees-of-Freedom
constrOptim
Linearly Constrained Optimization
interaction.plot
Two-way Interaction Plot
integrate
Integration of One-Dimensional Functions
formula
Model Formulae
lm.influence
Regression Diagnostics
lm.summaries
Accessing Linear Model Fits
lsfit
Find the Least Squares Fit
ls.print
Print
lsfit
Regression Results
na.action
NA Action
mcnemar.test
McNemar's Chi-squared Test for Count Data
Multinom
The Multinomial Distribution
median
Median Value
model.extract
Extract Components from a Model Frame
lm.fit
Fitter Functions for Linear Models
loadings
Print Loadings in Factor Analysis
medpolish
Median Polish of a Matrix
model.tables
Compute Tables of Results from an Aov Model Fit
model.matrix
Construct Design Matrices
plot.density
Plot Method for Kernel Density Estimation
plot.acf
Plot Autocovariance and Autocorrelation Functions
Poisson
The Poisson Distribution
plot.ts
Plotting Time-Series Objects
NegBinomial
The Negative Binomial Distribution
naprint
Adjust for Missing Values
nextn
Highly Composite Numbers
nlm
Non-Linear Minimization
oneway.test
Test for Equal Means in a One-Way Layout
optimize
One Dimensional Optimization
plot.spec
Plotting Spectral Densities
plot.stepfun
Plot Step Functions
predict.nls
Predicting from Nonlinear Least Squares Fits
predict.loess
Predict Loess Curve or Surface
nls.control
Control the Iterations in nls
NLSstAsymptotic
Fit the Asymptotic Regression Model
plot.profile.nls
Plot a profile.nls Object
plot.ppr
Plot Ridge Functions for Projection Pursuit Regression Fit
predict
Model Predictions
print.ts
Printing and Formatting of Time-Series Objects
print.power.htest
Print method for power calculation object
predict.lm
Predict method for Linear Model Fits
dummy.coef
Extract Coefficients in Original Coding
Distributions
Distributions in the stats package
formula.nls
Extract Model Formula from nls Object
IQR
The Interquartile Range
friedman.test
Friedman Rank Sum Test
is.empty.model
Test if a Model's Formula is Empty
quantile
Sample Quantiles
quade.test
Quade Test
residuals
Extract Model Residuals
runmed
Running Medians -- Robust Scatter Plot Smoothing
smooth
Tukey's (Running Median) Smoothing
SignRank
Distribution of the Wilcoxon Signed Rank Statistic
lowess
Scatter Plot Smoothing
ls.diag
Compute Diagnostics for
lsfit
Regression Results
mahalanobis
Mahalanobis Distance
make.link
Create a Link for GLM Families
monthplot
Plot a Seasonal or other Subseries from a Time Series
nobs
Extract the Number of Observations from a Fit.
NLSstRtAsymptote
Horizontal Asymptote on the Right Side
mood.test
Mood Two-Sample Test of Scale
pairwise.t.test
Pairwise t tests
pairwise.prop.test
Pairwise comparisons for proportions
SSbiexp
Self-Starting Nls Biexponential model
SSD
SSD Matrix and Estimated Variance Matrix in Multivariate Models
stl
Seasonal Decomposition of Time Series by Loess
stlmethods
Methods for STL Objects
StructTS
Fit Structural Time Series
summary.aov
Summarize an Analysis of Variance Model
ts-methods
Methods for Time Series Objects
ts
Time-Series Objects
update
Update and Re-fit a Model Call
update.formula
Model Updating
SSfol
Self-Starting Nls First-order Compartment Model
read.ftable
Manipulate Flat Contingency Tables
r2dtable
Random 2-way Tables with Given Marginals
SSfpl
Self-Starting Nls Four-Parameter Logistic Model
stat.anova
GLM Anova Statistics
start
Encode the Terminal Times of Time Series
loess
Local Polynomial Regression Fitting
summary.glm
Summarizing Generalized Linear Model Fits
loess.control
Set Parameters for Loess
na.contiguous
Find Longest Contiguous Stretch of non-NAs
na.fail
Handle Missing Values in Objects
Normal
The Normal Distribution
order.dendrogram
Ordering or Labels of the Leaves in a Dendrogram
numericDeriv
Evaluate Derivatives Numerically
p.adjust
Adjust P-values for Multiple Comparisons
PP.test
Phillips-Perron Test for Unit Roots
power.t.test
Power calculations for one and two sample t tests
prop.test
Test of Equal or Given Proportions
proj
Projections of Models
rect.hclust
Draw Rectangles Around Hierarchical Clusters
cov.wt
Weighted Covariance Matrices
convolve
Convolution of Sequences via FFT
FDist
The F Distribution
filter
Linear Filtering on a Time Series
glm.summaries
Accessing Generalized Linear Model Fits
glm.control
Auxiliary for Controlling GLM Fitting
line
Robust Line Fitting
lag.plot
Time Series Lag Plots
mauchly.test
Mauchly's Test of Sphericity
mantelhaen.test
Cochran-Mantel-Haenszel Chi-Squared Test for Count Data
plot.HoltWinters
Plot function for HoltWinters objects
power
Create a Power Link Object
power.prop.test
Power Calculations for Two-Sample Test for Proportions
plot.isoreg
Plot Method for isoreg Objects
printCoefmat
Print Coefficient Matrices
profile.nls
Method for Profiling nls Objects
screeplot
Screeplots
sd
Standard Deviation
smooth.spline
Fit a Smoothing Spline
smoothEnds
End Points Smoothing (for Running Medians)
summary.lm
Summarizing Linear Model Fits
tsdiag
Diagnostic Plots for Time-Series Fits
var.test
F Test to Compare Two Variances
tsp
Tsp Attribute of Time-Series-like Objects
weighted.residuals
Compute Weighted Residuals
varimax
Rotation Methods for Factor Analysis
C
Sets Contrasts for a Factor
weights
Extract Model Weights
SSasymp
Self-Starting Nls Asymptotic Regression Model
splinefun
Interpolating Splines
stats-package
The R Stats Package
stepfun
Step Function Class
toeplitz
Form Symmetric Toeplitz Matrix
time
Sampling Times of Time Series
weighted.mean
Weighted Arithmetic Mean
Weibull
The Weibull Distribution
NLSstClosestX
Inverse Interpolation
NLSstLfAsymptote
Horizontal Asymptote on the Left Side
pairwise.table
Tabulate p values for pairwise comparisons
pairwise.wilcox.test
Pairwise Wilcoxon Rank Sum Tests
poisson.test
Exact Poisson tests
power.anova.test
Power Calculations for Balanced One-Way Analysis of Variance Tests
ppoints
Ordinates for Probability Plotting
prcomp
Principal Components Analysis
predict.smooth.spline
Predict from Smoothing Spline Fit
relevel
Reorder Levels of Factor
replications
Number of Replications of Terms
reshape
Reshape Grouped Data
spec.taper
Taper a Time Series by a Cosine Bell
SSmicmen
Self-Starting Nls Michaelis-Menten Model
spectrum
Spectral Density Estimation
SSweibull
Self-Starting Nls Weibull Growth Curve Model
t.test
Student's t-Test
TDist
The Student t Distribution
reorder.default
Reorder Levels of a Factor
predict.HoltWinters
Prediction Function for Fitted Holt-Winters Models
reorder.dendrogram
Reorder a Dendrogram
predict.glm
Predict Method for GLM Fits
rWishart
Random Wishart Distributed Matrices
scatter.smooth
Scatter Plot with Smooth Curve Fitted by Loess
spec.ar
Estimate Spectral Density of a Time Series from AR Fit
sortedXyData
Create a
sortedXyData
Object
SSgompertz
Self-Starting Nls Gompertz Growth Model
SSlogis
Self-Starting Nls Logistic Model
terms.formula
Construct a terms Object from a Formula
terms
Model Terms
preplot
Pre-computations for a Plotting Object
qqnorm
Quantile-Quantile Plots
prop.trend.test
Test for trend in proportions
se.contrast
Standard Errors for Contrasts in Model Terms
setNames
Set the Names in an Object
selfStart
Construct Self-starting Nonlinear Models
shapiro.test
Shapiro-Wilk Normality Test
SSasympOff
Self-Starting Nls Asymptotic Regression Model with an Offset
SSasympOrig
Self-Starting Nls Asymptotic Regression Model through the Origin
stats-defunct
Defunct Functions in Package
stats
symnum
Symbolic Number Coding
summary.princomp
Summary method for Principal Components Analysis
tsSmooth
Use Fixed-Interval Smoothing on Time Series
Tukey
The Studentized Range Distribution
Wilcoxon
Distribution of the Wilcoxon Rank Sum Statistic
stats-deprecated
Deprecated Functions in Package
stats
window
Time Windows
summary.manova
Summary Method for Multivariate Analysis of Variance
ts.plot
Plot Multiple Time Series
summary.nls
Summarizing Non-Linear Least-Squares Model Fits
ts.union
Bind Two or More Time Series
Uniform
The Uniform Distribution
uniroot
One Dimensional Root (Zero) Finding