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