stats v3.5.1

The R Stats Package

R statistical functions.

Functions in stats

Name Description
Exponential The Exponential Distribution
AIC Akaike's An Information Criterion
FDist The F Distribution
Poisson The Poisson Distribution
Normal The Normal Distribution
ARMAacf Compute Theoretical ACF for an ARMA Process
SSbiexp Self-Starting Nls Biexponential model
Tukey The Studentized Range Distribution
SSfol Self-Starting Nls First-order Compartment Model
TukeyHSD Compute Tukey Honest Significant Differences
Logistic The Logistic Distribution
Lognormal The Log Normal Distribution
Cauchy The Cauchy Distribution
SSasympOff Self-Starting Nls Asymptotic Regression Model with an Offset
Binomial The Binomial Distribution
anova.glm Analysis of Deviance for Generalized Linear Model Fits
anova.lm ANOVA for Linear Model Fits
SSasympOrig Self-Starting Nls Asymptotic Regression Model through the Origin
arima ARIMA Modelling of Time Series
SSweibull Self-Starting Nls Weibull Growth Curve Model
ARMAtoMA Convert ARMA Process to Infinite MA Process
arima.sim Simulate from an ARIMA Model
alias Find Aliases (Dependencies) in a Model
SignRank Distribution of the Wilcoxon Signed Rank Statistic
anova Anova Tables
bandwidth Bandwidth Selectors for Kernel Density Estimation
bartlett.test Bartlett Test of Homogeneity of Variances
biplot.princomp Biplot for Principal Components
birthday Probability of coincidences
Beta The Beta Distribution
contrast (Possibly Sparse) Contrast Matrices
coef Extract Model Coefficients
convolve Convolution of Sequences via FFT
complete.cases Find Complete Cases
cophenetic Cophenetic Distances for a Hierarchical Clustering
HoltWinters Holt-Winters Filtering
contrasts Get and Set Contrast Matrices
Hypergeometric The Hypergeometric Distribution
factanal Factor Analysis
factor.scope Compute Allowed Changes in Adding to or Dropping from a Formula
kernapply Apply Smoothing Kernel
GammaDist The Gamma Distribution
delete.response Modify Terms Objects
dendrapply Apply a Function to All Nodes of a Dendrogram
fft Fast Discrete Fourier Transform (FFT)
family Family Objects for Models
kernel Smoothing Kernel Objects
glm.control Auxiliary for Controlling GLM Fitting
lm.influence Regression Diagnostics
Chisquare The (non-central) Chi-Squared Distribution
lm Fitting Linear Models
SSfpl Self-Starting Nls Four-Parameter Logistic Model
mahalanobis Mahalanobis Distance
SSgompertz Self-Starting Nls Gompertz Growth Model
Wilcoxon Distribution of the Wilcoxon Rank Sum Statistic
glm.summaries Accessing Generalized Linear Model Fits
acf Auto- and Cross- Covariance and -Correlation Function Estimation Create a Link for GLM Families
medpolish Median Polish (Robust Twoway Decomposition) of a Matrix
Distributions Distributions in the stats package
model.extract Extract Components from a Model Frame
is.empty.model Test if a Model's Formula is Empty
isoreg Isotonic / Monotone Regression
nlm Non-Linear Minimization
Geometric The Geometric Distribution
nextn Highly Composite Numbers
NLSstClosestX Inverse Interpolation
lag Lag a Time Series
pairwise.t.test Pairwise t tests
pairwise.table Tabulate p values for pairwise comparisons
plot.ts Plotting Time-Series Objects
NLSstLfAsymptote Horizontal Asymptote on the Left Side
StructTS Fit Structural Time Series
poisson.test Exact Poisson tests
ppoints Ordinates for Probability Plotting
lag.plot Time Series Lag Plots
loglin Fitting Log-Linear Models
IQR The Interquartile Range
ansari.test Ansari-Bradley Test
KalmanLike Kalman Filtering
anova.mlm Comparisons between Multivariate Linear Models
ppr Projection Pursuit Regression
SSD SSD Matrix and Estimated Variance Matrix in Multivariate Models
print.ts Printing and Formatting of Time-Series Objects
TDist The Student t Distribution
asOneSidedFormula Convert to One-Sided Formula
acf2AR Compute an AR Process Exactly Fitting an ACF
SSasymp Self-Starting Nls Asymptotic Regression Model
ave Group Averages Over Level Combinations of Factors
SSlogis Self-Starting Nls Logistic Model
Multinom The Multinomial Distribution
chisq.test Pearson's Chi-squared Test for Count Data
NLSstAsymptotic Fit the Asymptotic Regression Model
printCoefmat Print Coefficient Matrices
lowess Scatter Plot Smoothing
add1 Add or Drop All Possible Single Terms to a Model
SSmicmen Self-Starting Nls Michaelis-Menten Model
prop.trend.test Test for trend in proportions
cmdscale Classical (Metric) Multidimensional Scaling
qqnorm Quantile-Quantile Plots
NegBinomial The Negative Binomial Distribution
NLSstRtAsymptote Horizontal Asymptote on the Right Side
runmed Running Medians -- Robust Scatter Plot Smoothing
oneway.test Test for Equal Means in a One-Way Layout
aov Fit an Analysis of Variance Model
confint Confidence Intervals for Model Parameters
approxfun Interpolation Functions
Weibull The Weibull Distribution
Uniform The Uniform Distribution
optim General-purpose Optimization
constrOptim Linearly Constrained Optimization
scatter.smooth Scatter Plot with Smooth Curve Fitted by Loess
summary.manova Summary Method for Multivariate Analysis of Variance
summary.lm Summarizing Linear Model Fits
arima0 ARIMA Modelling of Time Series -- Preliminary Version
addmargins Puts Arbitrary Margins on Multidimensional Tables or Arrays
ar Fit Autoregressive Models to Time Series
plot.acf Plot Autocovariance and Autocorrelation Functions
aggregate Compute Summary Statistics of Data Subsets
as.hclust Convert Objects to Class hclust
plot.density Plot Method for Kernel Density Estimation
binom.test Exact Binomial Test
ar.ols Fit Autoregressive Models to Time Series by OLS
biplot Biplot of Multivariate Data
df.residual Residual Degrees-of-Freedom
supsmu Friedman's SuperSmoother
Box.test Box-Pierce and Ljung-Box Tests
diffinv Discrete Integration: Inverse of Differencing
cancor Canonical Correlations
case+variable.names Case and Variable Names of Fitted Models
cor.test Test for Association/Correlation Between Paired Samples
symnum Symbolic Number Coding
deriv Symbolic and Algorithmic Derivatives of Simple Expressions
ts.union Bind Two or More Time Series
cor Correlation, Variance and Covariance (Matrices)
.checkMFClasses Functions to Check the Type of Variables passed to Model Frames
power.anova.test Power Calculations for Balanced One-Way Analysis of Variance Tests
deviance Model Deviance
effects Effects from Fitted Model
embed Embedding a Time Series
filter Linear Filtering on a Time Series
fisher.test Fisher's Exact Test for Count Data
power.prop.test Power Calculations for Two-Sample Test for Proportions
cpgram Plot Cumulative Periodogram
predict.glm Predict Method for GLM Fits
cov.wt Weighted Covariance Matrices
predict.lm Predict method for Linear Model Fits
predict.smooth.spline Predict from Smoothing Spline Fit
tsSmooth Use Fixed-Interval Smoothing on Time Series
weighted.mean Weighted Arithmetic Mean
preplot Pre-computations for a Plotting Object
ecdf Empirical Cumulative Distribution Function
proj Projections of Models
getInitial Get Initial Parameter Estimates
weighted.residuals Compute Weighted Residuals
prop.test Test of Equal or Given Proportions
cutree Cut a Tree into Groups of Data
eff.aovlist Compute Efficiencies of Multistratum Analysis of Variance
glm Fitting Generalized Linear Models
fitted Extract Model Fitted Values
kmeans K-Means Clustering
decompose Classical Seasonal Decomposition by Moving Averages
sd Standard Deviation
kruskal.test Kruskal-Wallis Rank Sum Test
screeplot Screeplots
dendrogram General Tree Structures
lm.summaries Accessing Linear Model Fits Fitter Functions for Linear Models
expand.model.frame Add new variables to a model frame
ls.diag Compute Diagnostics for lsfit Regression Results
dummy.coef Extract Coefficients in Original Coding
dist Distance Matrix Computation
fivenum Tukey Five-Number Summaries
density Kernel Density Estimation
formula.nls Extract Model Formula from nls Object
ftable Flat Contingency Tables
friedman.test Friedman Rank Sum Test
ftable.formula Formula Notation for Flat Contingency Tables
hclust Hierarchical Clustering
loadings Print Loadings in Factor Analysis
extractAIC Extract AIC from a Fitted Model
fligner.test Fligner-Killeen Test of Homogeneity of Variances
ls.print Print lsfit Regression Results
formula Model Formulae
setNames Set the Names in an Object
loess Local Polynomial Regression Fitting
shapiro.test Shapiro-Wilk Normality Test
heatmap Draw a Heat Map
lsfit Find the Least Squares Fit
identify.hclust Identify Clusters in a Dendrogram
mad Median Absolute Deviation
stats-deprecated Deprecated Functions in Package stats
stats-package The R Stats Package
mcnemar.test McNemar's Chi-squared Test for Count Data
terms.object Description of Terms Objects
mantelhaen.test Cochran-Mantel-Haenszel Chi-Squared Test for Count Data
time Sampling Times of Time Series
influence.measures Regression Deletion Diagnostics
mood.test Mood Two-Sample Test of Scale
median Median Value
mauchly.test Mauchly's Test of Sphericity
ks.test Kolmogorov-Smirnov Tests
na.contiguous Find Longest Contiguous Stretch of non-NAs
na.action NA Action
nls.control Control the Iterations in nls
integrate Integration of One-Dimensional Functions Handle Missing Values in Objects
nobs Extract the Number of Observations from a Fit.
interaction.plot Two-way Interaction Plot
ksmooth Kernel Regression Smoother
line Robust Line Fitting
loess.control Set Parameters for Loess
listof A Class for Lists of (Parts of) Model Fits
order.dendrogram Ordering or Labels of the Leaves in a Dendrogram
optimize One Dimensional Optimization
logLik Extract Log-Likelihood
plot.isoreg Plot Method for isoreg Objects
makepredictcall Utility Function for Safe Prediction
model.frame Extracting the Model Frame from a Formula or Fit
plot.lm Plot Diagnostics for an lm Object
pairwise.wilcox.test Pairwise Wilcoxon Rank Sum Tests
plot.spec Plotting Spectral Densities
plot.stepfun Plot Step Functions
manova Multivariate Analysis of Variance
rWishart Random Wishart Distributed Matrices
plot.HoltWinters Plot function for HoltWinters objects
model.matrix Construct Design Matrices
C Sets Contrasts for a Factor
r2dtable Random 2-way Tables with Given Marginals
reshape Reshape Grouped Data
model.tables Compute Tables of Results from an Aov Model Fit
sigma Extract Residual Standard Deviation 'Sigma'
residuals Extract Model Residuals
predict Model Predictions
naprint Adjust for Missing Values
naresid Adjust for Missing Values
predict.Arima Forecast from ARIMA fits
numericDeriv Evaluate Derivatives Numerically
monthplot Plot a Seasonal or other Subseries from a Time Series
simulate Simulate Responses
stat.anova GLM Anova Statistics
profile Generic Function for Profiling Models
quade.test Quade Test
offset Include an Offset in a Model Formula
poly Compute Orthogonal Polynomials
power Create a Power Link Object
profile.nls Method for Profiling nls Objects
quantile Sample Quantiles
prcomp Principal Components Analysis
relevel Reorder Levels of Factor
reorder.dendrogram Reorder a Dendrogram
predict.HoltWinters Prediction Function for Fitted Holt-Winters Models
stats-defunct Defunct Functions in Package stats
nlminb Optimization using PORT routines
summary.nls Summarizing Non-Linear Least-Squares Model Fits
summary.princomp Summary method for Principal Components Analysis
princomp Principal Components Analysis
smoothEnds End Points Smoothing (for Running Medians)
print.power.htest Print Methods for Hypothesis Tests and Power Calculation Objects
tsdiag Diagnostic Plots for Time-Series Fits
varimax Rotation Methods for Factor Analysis
nls Nonlinear Least Squares
read.ftable Manipulate Flat Contingency Tables
tsp Tsp Attribute of Time-Series-like Objects
rect.hclust Draw Rectangles Around Hierarchical Clusters
reorder.default Reorder Levels of a Factor
p.adjust Adjust P-values for Multiple Comparisons
sortedXyData Create a sortedXyData Object
replications Number of Replications of Terms
spec.taper Taper a Time Series by a Cosine Bell
pairwise.prop.test Pairwise comparisons for proportions
smooth Tukey's (Running Median) Smoothing
smooth.spline Fit a Smoothing Spline
spectrum Spectral Density Estimation
splinefun Interpolating Splines
start Encode the Terminal Times of Time Series
vcov Calculate Variance-Covariance Matrix for a Fitted Model Object
plot.profile.nls Plot a profile.nls Object
power.t.test Power calculations for one and two sample t tests
summary.aov Summarize an Analysis of Variance Model
summary.glm Summarizing Generalized Linear Model Fits
PP.test Phillips-Perron Test for Unit Roots
plot.ppr Plot Ridge Functions for Projection Pursuit Regression Fit
stl Seasonal Decomposition of Time Series by Loess
toeplitz Form Symmetric Toeplitz Matrix
predict.loess Predict Loess Curve or Surface
se.contrast Standard Errors for Contrasts in Model Terms
predict.nls Predicting from Nonlinear Least Squares Fits
ts-methods Methods for Time Series Objects
selfStart Construct Self-starting Nonlinear Models
stlmethods Methods for STL Objects Estimate Spectral Density of a Time Series from AR Fit
update.formula Model Updating
weights Extract Model Weights
var.test F Test to Compare Two Variances
t.test Student's t-Test
wilcox.test Wilcoxon Rank Sum and Signed Rank Tests
termplot Plot Regression Terms
spec.pgram Estimate Spectral Density of a Time Series by a Smoothed Periodogram
stepfun Step Functions - Creation and Class
step Choose a model by AIC in a Stepwise Algorithm
ts Time-Series Objects
terms.formula Construct a terms Object from a Formula
terms Model Terms
update Update and Re-fit a Model Call
uniroot One Dimensional Root (Zero) Finding
ts.plot Plot Multiple Time Series
window Time Windows
xtabs Cross Tabulation
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License Part of R 3.5.1
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