stats v3.3.3

The R Stats Package

R statistical functions.

Functions in stats

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


Priority base
License Part of R 3.3.3
NeedsCompilation yes

Include our badge in your README