stats v3.6.0

The R Stats Package

R statistical functions.

Functions in stats

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