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