stats v3.6.2

The R Stats Package

R statistical functions.

Functions in stats

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