stats v3.5.0

The R Stats Package

R statistical functions.

Functions in stats

Name Description
SSasympOrig Self-Starting Nls Asymptotic Regression Model through the Origin
SSgompertz Self-Starting Nls Gompertz Growth Model
SSfpl Self-Starting Nls Four-Parameter Logistic Model
Uniform The Uniform Distribution
Weibull The Weibull Distribution
anova.mlm Comparisons between Multivariate Linear Models
ansari.test Ansari-Bradley Test
asOneSidedFormula Convert to One-Sided Formula
ave Group Averages Over Level Combinations of Factors
coef Extract Model Coefficients
complete.cases Find Complete Cases
cor Correlation, Variance and Covariance (Matrices)
cor.test Test for Association/Correlation Between Paired Samples
df.residual Residual Degrees-of-Freedom
Binomial The Binomial Distribution
Cauchy The Cauchy Distribution
AIC Akaike's An Information Criterion
ARMAacf Compute Theoretical ACF for an ARMA Process
GammaDist The Gamma Distribution
IQR The Interquartile Range
KalmanLike Kalman Filtering
Normal The Normal Distribution
Poisson The Poisson Distribution
Geometric The Geometric Distribution
NLSstRtAsymptote Horizontal Asymptote on the Right Side
SSweibull Self-Starting Nls Weibull Growth Curve Model
diffinv Discrete Integration: Inverse of Differencing
SignRank Distribution of the Wilcoxon Signed Rank Statistic
addmargins Puts Arbitrary Margins on Multidimensional Tables or Arrays
effects Effects from Fitted Model
NegBinomial The Negative Binomial Distribution
embed Embedding a Time Series
aggregate Compute Summary Statistics of Data Subsets
SSfol Self-Starting Nls First-order Compartment Model
SSbiexp Self-Starting Nls Biexponential model
acf2AR Compute an AR Process Exactly Fitting an ACF
formula.nls Extract Model Formula from nls Object
friedman.test Friedman Rank Sum Test
add1 Add or Drop All Possible Single Terms to a Model
anova.glm Analysis of Deviance for Generalized Linear Model Fits
ftable Flat Contingency Tables
ftable.formula Formula Notation for Flat Contingency Tables
aov Fit an Analysis of Variance Model
integrate Integration of One-Dimensional Functions
anova.lm ANOVA for Linear Model Fits
bandwidth Bandwidth Selectors for Kernel Density Estimation
interaction.plot Two-way Interaction Plot
line Robust Line Fitting
approxfun Interpolation Functions
bartlett.test Bartlett Test of Homogeneity of Variances
listof A Class for Lists of (Parts of) Model Fits
chisq.test Pearson's Chi-squared Test for Count Data
arima ARIMA Modelling of Time Series
Box.test Box-Pierce and Ljung-Box Tests
arima.sim Simulate from an ARIMA Model
cancor Canonical Correlations
loglin Fitting Log-Linear Models
lowess Scatter Plot Smoothing
contrast (Possibly Sparse) Contrast Matrices
mcnemar.test McNemar's Chi-squared Test for Count Data
contrasts Get and Set Contrast Matrices
deriv Symbolic and Algorithmic Derivatives of Simple Expressions
cov.wt Weighted Covariance Matrices
Chisquare The (non-central) Chi-Squared Distribution
cmdscale Classical (Metric) Multidimensional Scaling
deviance Model Deviance
Distributions Distributions in the stats package
cpgram Plot Cumulative Periodogram
dist Distance Matrix Computation
cutree Cut a Tree into Groups of Data
dummy.coef Extract Coefficients in Original Coding
HoltWinters Holt-Winters Filtering
decompose Classical Seasonal Decomposition by Moving Averages
fligner.test Fligner-Killeen Test of Homogeneity of Variances
Hypergeometric The Hypergeometric Distribution
SSD SSD Matrix and Estimated Variance Matrix in Multivariate Models
getInitial Get Initial Parameter Estimates
formula Model Formulae
SSasymp Self-Starting Nls Asymptotic Regression Model
expand.model.frame Add new variables to a model frame
extractAIC Extract AIC from a Fitted Model
SSlogis Self-Starting Nls Logistic Model
kmeans K-Means Clustering
SSmicmen Self-Starting Nls Michaelis-Menten Model
family Family Objects for Models
glm Fitting Generalized Linear Models
kruskal.test Kruskal-Wallis Rank Sum Test
median Median Value
lm.summaries Accessing Linear Model Fits
Wilcoxon Distribution of the Wilcoxon Rank Sum Statistic
fft Fast Discrete Fourier Transform (FFT)
glm.control Auxiliary for Controlling GLM Fitting Fitter Functions for Linear Models
acf Auto- and Cross- Covariance and -Correlation Function Estimation
ar Fit Autoregressive Models to Time Series
mood.test Mood Two-Sample Test of Scale
glm.summaries Accessing Generalized Linear Model Fits
loess.control Set Parameters for Loess
na.action NA Action
optimize One Dimensional Optimization
logLik Extract Log-Likelihood
mantelhaen.test Cochran-Mantel-Haenszel Chi-Squared Test for Count Data
order.dendrogram Ordering or Labels of the Leaves in a Dendrogram
ar.ols Fit Autoregressive Models to Time Series by OLS
plot.isoreg Plot Method for isoreg Objects
arima0 ARIMA Modelling of Time Series -- Preliminary Version
ks.test Kolmogorov-Smirnov Tests
case+variable.names Case and Variable Names of Fitted Models
as.hclust Convert Objects to Class hclust
plot.lm Plot Diagnostics for an lm Object
mauchly.test Mauchly's Test of Sphericity
ksmooth Kernel Regression Smoother
model.tables Compute Tables of Results from an Aov Model Fit
.checkMFClasses Functions to Check the Type of Variables passed to Model Frames
lag Lag a Time Series
monthplot Plot a Seasonal or other Subseries from a Time Series
nlminb Optimization using PORT routines
lag.plot Time Series Lag Plots
confint Confidence Intervals for Model Parameters
nls Nonlinear Least Squares
constrOptim Linearly Constrained Optimization
dendrogram General Tree Structures
lsfit Find the Least Squares Fit
plot.spec Plotting Spectral Densities
pairwise.wilcox.test Pairwise Wilcoxon Rank Sum Tests
density Kernel Density Estimation
factanal Factor Analysis
plot.HoltWinters Plot function for HoltWinters objects
plot.stepfun Plot Step Functions
plot.ts Plotting Time-Series Objects
poisson.test Exact Poisson tests
power.t.test Power calculations for one and two sample t tests
mad Median Absolute Deviation
ARMAtoMA Convert ARMA Process to Infinite MA Process
Beta The Beta Distribution
factor.scope Compute Allowed Changes in Adding to or Dropping from a Formula
medpolish Median Polish (Robust Twoway Decomposition) of a Matrix
Logistic The Logistic Distribution
ppoints Ordinates for Probability Plotting
Lognormal The Log Normal Distribution
NLSstClosestX Inverse Interpolation
predict.smooth.spline Predict from Smoothing Spline Fit
ppr Projection Pursuit Regression
filter Linear Filtering on a Time Series
preplot Pre-computations for a Plotting Object
NLSstLfAsymptote Horizontal Asymptote on the Left Side
prop.trend.test Test for trend in proportions
model.extract Extract Components from a Model Frame
StructTS Fit Structural Time Series
qqnorm Quantile-Quantile Plots
fisher.test Fisher's Exact Test for Count Data
TDist The Student t Distribution
Tukey The Studentized Range Distribution
TukeyHSD Compute Tukey Honest Significant Differences
identify.hclust Identify Clusters in a Dendrogram
influence.measures Regression Deletion Diagnostics
alias Find Aliases (Dependencies) in a Model
nextn Highly Composite Numbers
anova Anova Tables
biplot Biplot of Multivariate Data
binom.test Exact Binomial Test
biplot.princomp Biplot for Principal Components
relevel Reorder Levels of Factor
nlm Non-Linear Minimization
princomp Principal Components Analysis
PP.test Phillips-Perron Test for Unit Roots
kernapply Apply Smoothing Kernel
print.power.htest Print Methods for Hypothesis Tests and Power Calculation Objects
oneway.test Test for Equal Means in a One-Way Layout
r2dtable Random 2-way Tables with Given Marginals
rWishart Random Wishart Distributed Matrices
reorder.dendrogram Reorder a Dendrogram
birthday Probability of coincidences
kernel Smoothing Kernel Objects
lm Fitting Linear Models
convolve Convolution of Sequences via FFT
lm.influence Regression Diagnostics
optim General-purpose Optimization
cophenetic Cophenetic Distances for a Hierarchical Clustering
ls.diag Compute Diagnostics for lsfit Regression Results
ls.print Print lsfit Regression Results
pairwise.t.test Pairwise t tests
pairwise.table Tabulate p values for pairwise comparisons
delete.response Modify Terms Objects
model.frame Extracting the Model Frame from a Formula or Fit
model.matrix Construct Design Matrices
na.contiguous Find Longest Contiguous Stretch of non-NAs
reorder.default Reorder Levels of a Factor Handle Missing Values in Objects
power.anova.test Power Calculations for Balanced One-Way Analysis of Variance Tests
nls.control Control the Iterations in nls
power.prop.test Power Calculations for Two-Sample Test for Proportions
dendrapply Apply a Function to All Nodes of a Dendrogram
replications Number of Replications of Terms
ecdf Empirical Cumulative Distribution Function
eff.aovlist Compute Efficiencies of Multistratum Analysis of Variance
nobs Extract the Number of Observations from a Fit.
fitted Extract Model Fitted Values
p.adjust Adjust P-values for Multiple Comparisons
pairwise.prop.test Pairwise comparisons for proportions
plot.ppr Plot Ridge Functions for Projection Pursuit Regression Fit
fivenum Tukey Five-Number Summaries
plot.profile.nls Plot a profile.nls Object
smoothEnds End Points Smoothing (for Running Medians)
sortedXyData Create a sortedXyData Object
prcomp Principal Components Analysis
heatmap Draw a Heat Map
hclust Hierarchical Clustering
is.empty.model Test if a Model's Formula is Empty
predict.HoltWinters Prediction Function for Fitted Holt-Winters Models
profile Generic Function for Profiling Models
isoreg Isotonic / Monotone Regression
loadings Print Loadings in Factor Analysis
profile.nls Method for Profiling nls Objects
loess Local Polynomial Regression Fitting
spec.taper Taper a Time Series by a Cosine Bell
mahalanobis Mahalanobis Distance
predict.glm Predict Method for GLM Fits Create a Link for GLM Families
quade.test Quade Test
predict.lm Predict method for Linear Model Fits
predict.loess Predict Loess Curve or Surface
makepredictcall Utility Function for Safe Prediction
smooth Tukey's (Running Median) Smoothing
predict.nls Predicting from Nonlinear Least Squares Fits
smooth.spline Fit a Smoothing Spline
spectrum Spectral Density Estimation
manova Multivariate Analysis of Variance
quantile Sample Quantiles
read.ftable Manipulate Flat Contingency Tables
stats-deprecated Deprecated Functions in Package stats
naprint Adjust for Missing Values
naresid Adjust for Missing Values
rect.hclust Draw Rectangles Around Hierarchical Clusters
stats-package The R Stats Package
screeplot Screeplots
numericDeriv Evaluate Derivatives Numerically
offset Include an Offset in a Model Formula
summary.manova Summary Method for Multivariate Analysis of Variance
summary.lm Summarizing Linear Model Fits
sd Standard Deviation
stl Seasonal Decomposition of Time Series by Loess
plot.acf Plot Autocovariance and Autocorrelation Functions
poly Compute Orthogonal Polynomials
stlmethods Methods for STL Objects
power Create a Power Link Object
plot.density Plot Method for Kernel Density Estimation
reshape Reshape Grouped Data
termplot Plot Regression Terms
t.test Student's t-Test
predict Model Predictions
sigma Extract Residual Standard Deviation 'Sigma'
simulate Simulate Responses
predict.Arima Forecast from ARIMA fits
ts.union Bind Two or More Time Series
print.ts Printing and Formatting of Time-Series Objects
stat.anova GLM Anova Statistics
stats-defunct Defunct Functions in Package stats
residuals Extract Model Residuals
supsmu Friedman's SuperSmoother
symnum Symbolic Number Coding
setNames Set the Names in an Object
shapiro.test Shapiro-Wilk Normality Test
tsdiag Diagnostic Plots for Time-Series Fits
proj Projections of Models
printCoefmat Print Coefficient Matrices
summary.princomp Summary method for Principal Components Analysis
summary.nls Summarizing Non-Linear Least-Squares Model Fits
terms.object Description of Terms Objects
tsSmooth Use Fixed-Interval Smoothing on Time Series
prop.test Test of Equal or Given Proportions
time Sampling Times of Time Series
weights Extract Model Weights
runmed Running Medians -- Robust Scatter Plot Smoothing
scatter.smooth Scatter Plot with Smooth Curve Fitted by Loess
tsp Tsp Attribute of Time-Series-like Objects
vcov Calculate Variance-Covariance Matrix for a Fitted Model Object Estimate Spectral Density of a Time Series from AR Fit
spec.pgram Estimate Spectral Density of a Time Series by a Smoothed Periodogram
window Time Windows
ts.plot Plot Multiple Time Series
step Choose a model by AIC in a Stepwise Algorithm
ts Time-Series Objects
se.contrast Standard Errors for Contrasts in Model Terms
stepfun Step Functions - Creation and Class
wilcox.test Wilcoxon Rank Sum and Signed Rank Tests
xtabs Cross Tabulation
toeplitz Form Symmetric Toeplitz Matrix
selfStart Construct Self-starting Nonlinear Models
ts-methods Methods for Time Series Objects
varimax Rotation Methods for Factor Analysis
uniroot One Dimensional Root (Zero) Finding
update Update and Re-fit a Model Call
splinefun Interpolating Splines
C Sets Contrasts for a Factor
start Encode the Terminal Times of Time Series
summary.aov Summarize an Analysis of Variance Model
summary.glm Summarizing Generalized Linear Model Fits
terms Model Terms
terms.formula Construct a terms Object from a Formula
weighted.mean Weighted Arithmetic Mean
update.formula Model Updating
var.test F Test to Compare Two Variances
weighted.residuals Compute Weighted Residuals
Exponential The Exponential Distribution
FDist The F Distribution
Multinom The Multinomial Distribution
NLSstAsymptotic Fit the Asymptotic Regression Model
SSasympOff Self-Starting Nls Asymptotic Regression Model with an Offset
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License Part of R 3.5.0
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