A B C D E F G H I K L M N O P Q R S T U V W X misc
stats-package | The R Stats Package |
.checkMFClasses | Functions to Check the Type of Variables passed to Model Frames |
.getXlevels | Functions to Check the Type of Variables passed to Model Frames |
.MFclass | Functions to Check the Type of Variables passed to Model Frames |
acf | Auto- and Cross- Covariance and -Correlation Function Estimation |
acf2AR | Compute an AR Process Exactly Fitting an ACF |
add.scope | Compute Allowed Changes in Adding to or Dropping from a Formula |
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 |
AIC | Akaike's An Information Criterion |
alias | Find Aliases (Dependencies) in a Model |
anova | Anova Tables |
anova.glm | Analysis of Deviance for Generalized Linear Model Fits |
anova.glmlist | Analysis of Deviance for Generalized Linear Model Fits |
anova.lm | ANOVA for Linear Model Fits |
anova.lmlist | ANOVA for Linear Model Fits |
anova.mlm | Comparisons between Multivariate Linear Models |
anova.mlmlist | Comparisons between Multivariate Linear Models |
ansari.test | Ansari-Bradley Test |
aov | Fit an Analysis of Variance Model |
approx | Interpolation Functions |
approxfun | Interpolation Functions |
ar | Fit Autoregressive Models to Time Series |
ar.burg | Fit Autoregressive Models to Time Series |
ar.mle | Fit Autoregressive Models to Time Series |
ar.ols | Fit Autoregressive Models to Time Series by OLS |
ar.yw | Fit Autoregressive Models to Time Series |
arima | ARIMA Modelling of Time Series |
arima.sim | Simulate from an ARIMA Model |
arima0 | ARIMA Modelling of Time Series - Preliminary Version |
ARMAacf | Compute Theoretical ACF for an ARMA Process |
ARMAtoMA | Convert ARMA Process to Infinite MA Process |
as.dendrogram | General Tree Structures |
as.dist | Distance Matrix Computation |
as.formula | Model Formulae |
as.hclust | Convert Objects to Class hclust |
as.matrix.dist | Distance Matrix Computation |
as.stepfun | Step Function Class |
as.table.ftable | Manipulate Flat Contingency Tables |
as.ts | Time-Series Objects |
asOneSidedFormula | Convert to One-Sided Formula |
ave | Group Averages Over Level Combinations of Factors |
bandwidth.kernel | Smoothing Kernel Objects |
bartlett.test | Bartlett Test of Homogeneity of Variances |
Beta | The Beta Distribution |
binom.test | Exact Binomial Test |
Binomial | The Binomial Distribution |
binomial | Family Objects for Models |
biplot | Biplot of Multivariate Data |
biplot.prcomp | Biplot for Principal Components |
biplot.princomp | Biplot for Principal Components |
Box.test | Box-Pierce and Ljung-Box Tests |
bw.bcv | Bandwidth Selectors for Kernel Density Estimation |
bw.nrd | Bandwidth Selectors for Kernel Density Estimation |
bw.nrd0 | Bandwidth Selectors for Kernel Density Estimation |
bw.SJ | Bandwidth Selectors for Kernel Density Estimation |
bw.ucv | Bandwidth Selectors for Kernel Density Estimation |
C | Sets Contrasts for a Factor |
cancor | Canonical Correlations |
case.names | Case and Variable Names of Fitted Models |
Cauchy | The Cauchy Distribution |
cbind.ts | Time-Series Objects |
ccf | Auto- and Cross- Covariance and -Correlation Function Estimation |
chisq.test | Pearson's Chi-squared Test for Count Data |
Chisquare | The (non-central) Chi-Squared Distribution |
clearNames | Remove the Names from an Object |
cmdscale | Classical (Metric) Multidimensional Scaling |
coef | Extract Model Coefficients |
coefficients | Extract Model Coefficients |
complete.cases | Find Complete Cases |
confint | Confidence Intervals for Model Parameters |
constrOptim | Linearly constrained optimisation |
contr.helmert | Contrast Matrices |
contr.poly | Contrast Matrices |
contr.SAS | Contrast Matrices |
contr.sum | Contrast Matrices |
contr.treatment | Contrast Matrices |
contrasts | Get and Set Contrast Matrices |
convolve | Fast Convolution |
cooks.distance | Regression Deletion Diagnostics |
cophenetic | Cophenetic Distances for a Hierarchical Clustering |
cor | Correlation, Variance and Covariance (Matrices) |
cor.test | Test for Association/Correlation Between Paired Samples |
cov | Correlation, Variance and Covariance (Matrices) |
cov.wt | Weighted Covariance Matrices |
cov2cor | Correlation, Variance and Covariance (Matrices) |
covratio | Regression Deletion Diagnostics |
cpgram | Plot Cumulative Periodogram |
cut.dendrogram | General Tree Structures |
cutree | Cut a tree into groups of data |
cycle | Sampling Times of Time Series |
D | Symbolic and Algorithmic Derivatives of Simple Expressions |
dbeta | The Beta Distribution |
dbinom | The Binomial Distribution |
dcauchy | The Cauchy Distribution |
dchisq | The (non-central) Chi-Squared Distribution |
decompose | Classical Seasonal Decomposition by Moving Averages |
delete.response | Modify Terms Objects |
deltat | Sampling Times of Time Series |
dendrapply | Apply a Function to All Nodes of a Dendrogram |
dendrogram | General Tree Structures |
density | Kernel Density Estimation |
deriv | Symbolic and Algorithmic Derivatives of Simple Expressions |
deriv3 | Symbolic and Algorithmic Derivatives of Simple Expressions |
deviance | Model Deviance |
dexp | The Exponential Distribution |
df | The F Distribution |
df.kernel | Smoothing Kernel Objects |
df.residual | Residual Degrees-of-Freedom |
dfbeta | Regression Deletion Diagnostics |
dfbetas | Regression Deletion Diagnostics |
dffits | Regression Deletion Diagnostics |
dgamma | The Gamma Distribution |
dgeom | The Geometric Distribution |
dhyper | The Hypergeometric Distribution |
diff.ts | Methods for Time Series Objects |
diffinv | Discrete Integration: Inverse of Differencing |
dist | Distance Matrix Computation |
dlnorm | The Log Normal Distribution |
dlogis | The Logistic Distribution |
dmultinom | The Multinomial Distribution |
dnbinom | The Negative Binomial Distribution |
dnorm | The Normal Distribution |
dpois | The Poisson Distribution |
drop.scope | Compute Allowed Changes in Adding to or Dropping from a Formula |
drop.terms | Modify Terms Objects |
drop1 | Add or Drop All Possible Single Terms to a Model |
dsignrank | Distribution of the Wilcoxon Signed Rank Statistic |
dt | The Student t Distribution |
dummy.coef | Extract Coefficients in Original Coding |
dunif | The Uniform Distribution |
dweibull | The Weibull Distribution |
dwilcox | Distribution of the Wilcoxon Rank Sum Statistic |
ecdf | Empirical Cumulative Distribution Function |
eff.aovlist | Compute Efficiencies of Multistratum Analysis of Variance |
effects | Effects from Fitted Model |
embed | Embedding a Time Series |
end | Encode the Terminal Times of Time Series |
Error | Fit an Analysis of Variance Model |
estVar | SSD Matrix and Estimated Variance Matrix in Multivariate Models |
expand.model.frame | Add new variables to a model frame |
Exponential | The Exponential Distribution |
extractAIC | Extract AIC from a Fitted Model |
factanal | Factor Analysis |
factanal.fit.mle | Factor Analysis |
factor.scope | Compute Allowed Changes in Adding to or Dropping from a Formula |
family | Family Objects for Models |
family.glm | Accessing Generalized Linear Model Fits |
family.lm | Accessing Linear Model Fits |
FDist | The F Distribution |
fft | Fast Discrete Fourier Transform |
filter | Linear Filtering on a Time Series |
fisher.test | Fisher's Exact Test for Count Data |
fitted | Extract Model Fitted Values |
fivenum | Tukey Five-Number Summaries |
fligner.test | Fligner-Killeen Test of Homogeneity of Variances |
format.dist | Distance Matrix Computation |
formula | Model Formulae |
formula.lm | Accessing Linear Model Fits |
formula.nls | Extract Model Formula from nls Object |
formula.terms | Model Formulae |
frequency | Sampling Times of Time Series |
friedman.test | Friedman Rank Sum Test |
ftable | Flat Contingency Tables |
ftable.formula | Formula Notation for Flat Contingency Tables |
Gamma | Family Objects for Models |
GammaDist | The Gamma Distribution |
gaussian | Family Objects for Models |
Geometric | The Geometric Distribution |
getInitial | Get Initial Parameter Estimates |
glm | Fitting Generalized Linear Models |
glm.control | Auxiliary for Controlling GLM Fitting |
glm.fit | Fitting Generalized Linear Models |
hasTsp | Tsp Attribute of Time-Series-like Objects |
hat | Regression Deletion Diagnostics |
hatvalues | Regression Deletion Diagnostics |
hclust | Hierarchical Clustering |
heatmap | Draw a Heat Map |
HoltWinters | Holt-Winters Filtering |
Hypergeometric | The Hypergeometric Distribution |
identify.hclust | Identify Clusters in a Dendrogram |
influence | Regression Diagnostics |
influence.measures | Regression Deletion Diagnostics |
integrate | Integration of One-Dimensional Functions |
interaction.plot | Two-way Interaction Plot |
inverse.gaussian | Family Objects for Models |
IQR | The Interquartile Range |
is.empty.model | Check if a Model is Empty |
is.leaf | General Tree Structures |
is.mts | Time-Series Objects |
is.stepfun | Step Function Class |
is.ts | Time-Series Objects |
is.tskernel | Smoothing Kernel Objects |
isoreg | Isotonic / Monotone Regression |
KalmanForecast | Kalman Filtering |
KalmanLike | Kalman Filtering |
KalmanRun | Kalman Filtering |
KalmanSmooth | Kalman Filtering |
kernapply | Apply Smoothing Kernel |
kernel | Smoothing Kernel Objects |
kmeans | K-Means Clustering |
knots | Step Function Class |
kruskal.test | Kruskal-Wallis Rank Sum Test |
ks.test | Kolmogorov-Smirnov Tests |
ksmooth | Kernel Regression Smoother |
labels.dendrogram | Ordering or Labels of the Leaves in a Dendrogram |
labels.dist | Distance Matrix Computation |
labels.lm | Accessing Linear Model Fits |
labels.terms | Model Terms |
lag | Lag a Time Series |
lag.plot | Time Series Lag Plots |
line | Robust Line Fitting |
lines.stepfun | Plot Step Functions |
lines.ts | Plotting Time-Series Objects |
lm | Fitting Linear Models |
lm.fit | Fitter Functions for Linear Models |
lm.influence | Regression Diagnostics |
lm.wfit | Fitter Functions for Linear Models |
loadings | Print Loadings in Factor Analysis |
loess | Local Polynomial Regression Fitting |
loess.control | Set Parameters for Loess |
loess.smooth | Scatter Plot with Smooth Curve Fitted by Loess |
Logistic | The Logistic Distribution |
logLik | Extract Log-Likelihood |
loglin | Fitting Log-Linear Models |
Lognormal | The Log Normal Distribution |
lowess | Scatter Plot Smoothing |
ls.diag | Compute Diagnostics for `lsfit' Regression Results |
ls.print | Print `lsfit' Regression Results |
lsfit | Find the Least Squares Fit |
mad | Median Absolute Deviation |
mahalanobis | Mahalanobis Distance |
make.link | Create a Link for GLM families |
makeARIMA | Kalman Filtering |
makepredictcall | Utility Function for Safe Prediction |
makepredictcall.poly | Compute Orthogonal Polynomials |
manova | Multivariate Analysis of Variance |
mantelhaen.test | Cochran-Mantel-Haenszel Chi-Squared Test for Count Data |
mauchley.test | Deprecated Functions in Stats package |
mauchly.test | Mauchly's Test of Sphericity |
mcnemar.test | McNemar's Chi-squared Test for Count Data |
median | Median Value |
medpolish | Median Polish of a Matrix |
model.extract | Extract Components from a Model Frame |
model.frame | Extracting the ``Environment'' of a Model Formula |
model.matrix | Construct Design Matrices |
model.offset | Extract Components from a Model Frame |
model.response | Extract Components from a Model Frame |
model.tables | Compute Tables of Results from an Aov Model Fit |
model.weights | Extract Components from a Model Frame |
monthplot | Plot a Seasonal or other Subseries from a Time Series |
mood.test | Mood Two-Sample Test of Scale |
Multinomial | The Multinomial Distribution |
mvfft | Fast Discrete Fourier Transform |
na.action | NA Action |
na.contiguous | Find Longest Contiguous Stretch of non-NAs |
na.exclude | Handle Missing Values in Objects |
na.fail | Handle Missing Values in Objects |
na.omit | Handle Missing Values in Objects |
na.omit.ts | Methods for Time Series Objects |
na.pass | Handle Missing Values in Objects |
napredict | Adjust for Missing Values |
naprint | Adjust for Missing Values |
naresid | Adjust for Missing Values |
NegBinomial | The Negative Binomial Distribution |
nextn | Highly Composite Numbers |
nlm | Non-Linear Minimization |
nlminb | Optimization using PORT routines |
nls | Nonlinear Least Squares |
nls.control | Control the Iterations in nls |
nlsModel | Create an nlsModel Object |
NLSstAsymptotic | Fit the Asymptotic Regression Model |
NLSstClosestX | Inverse Interpolation |
NLSstLfAsymptote | Horizontal Asymptote on the Left Side |
NLSstRtAsymptote | Horizontal Asymptote on the Right Side |
Normal | The Normal Distribution |
numericDeriv | Evaluate derivatives numerically |
offset | Include an Offset in a Model Formula |
oneway.test | Test for Equal Means in a One-Way Layout |
Ops.ts | Time-Series Objects |
optim | General-purpose Optimization |
optimise | One Dimensional Optimization |
optimize | One Dimensional Optimization |
order.dendrogram | Ordering or Labels of the Leaves in a Dendrogram |
p.adjust | Adjust P-values for Multiple Comparisons |
pacf | Auto- and Cross- Covariance and -Correlation Function Estimation |
pairwise.prop.test | Pairwise comparisons for proportions |
pairwise.t.test | Pairwise t tests |
pairwise.table | Tabulate p values for pairwise comparisons |
pairwise.wilcox.test | Pairwise Wilcoxon rank sum tests |
pbeta | The Beta Distribution |
pbinom | The Binomial Distribution |
pbirthday | Probability of coincidences |
pcauchy | The Cauchy Distribution |
pchisq | The (non-central) Chi-Squared Distribution |
pexp | The Exponential Distribution |
pf | The F Distribution |
pgamma | The Gamma Distribution |
pgeom | The Geometric Distribution |
phyper | The Hypergeometric Distribution |
plclust | Hierarchical Clustering |
plnorm | The Log Normal Distribution |
plogis | The Logistic Distribution |
plot.acf | Plot Autocovariance and Autocorrelation Functions |
plot.decomposed.ts | Classical Seasonal Decomposition by Moving Averages |
plot.dendrogram | General Tree Structures |
plot.density | Plot Method for Kernel Density Estimation |
plot.ecdf | Empirical Cumulative Distribution Function |
plot.hclust | Hierarchical Clustering |
plot.HoltWinters | Plot function for HoltWinters objects |
plot.isoreg | Plot Method for isoreg Objects |
plot.lm | Plot Diagnostics for an lm Object |
plot.mlm | Plot Diagnostics for an lm Object |
plot.ppr | Plot Ridge Functions for Projection Pursuit Regression Fit |
plot.prcomp | Principal Components Analysis |
plot.princomp | Principal Components Analysis |
plot.profile.nls | Plot a profile.nls Object |
plot.spec | Plotting Spectral Densities |
plot.stepfun | Plot Step Functions |
plot.stl | Methods for STL Objects |
plot.ts | Plotting Time-Series Objects |
plot.tskernel | Smoothing Kernel Objects |
plot.TukeyHSD | Compute Tukey Honest Significant Differences |
pnbinom | The Negative Binomial Distribution |
pnorm | The Normal Distribution |
Poisson | The Poisson Distribution |
poisson | Family Objects for Models |
poly | Compute Orthogonal Polynomials |
polym | Compute Orthogonal Polynomials |
power | Create a Power Link Object |
power.anova.test | Power calculations for balanced one-way analysis of variance tests |
power.prop.test | Power calculations two sample test for proportions |
power.t.test | Power calculations for one and two sample t tests |
PP.test | Phillips-Perron Test for Unit Roots |
ppoints | Ordinates for Probability Plotting |
ppois | The Poisson Distribution |
ppr | Projection Pursuit Regression |
prcomp | Principal Components Analysis |
predict | Model Predictions |
predict.ar | Fit Autoregressive Models to Time Series |
predict.Arima | Forecast from ARIMA fits |
predict.arima0 | ARIMA Modelling of Time Series - Preliminary Version |
predict.glm | Predict Method for GLM Fits |
predict.HoltWinters | prediction function for fitted Holt-Winters models |
predict.lm | Predict method for Linear Model Fits |
predict.loess | Predict Loess Curve or Surface |
predict.mlm | Predict method for Linear Model Fits |
predict.nls | Predicting from Nonlinear Least Squares Fits |
predict.poly | Compute Orthogonal Polynomials |
predict.prcomp | Principal Components Analysis |
predict.princomp | Principal Components Analysis |
predict.smooth.spline | Predict from Smoothing Spline Fit |
predict.StructTS | Fit Structural Time Series |
preplot | Pre-computations for a Plotting Objeect |
princomp | Principal Components Analysis |
print.anova | Anova Tables |
print.aov | Fit an Analysis of Variance Model |
print.aovlist | Fit an Analysis of Variance Model |
print.ar | Fit Autoregressive Models to Time Series |
print.arima0 | ARIMA Modelling of Time Series - Preliminary Version |
print.dendrogram | General Tree Structures |
print.density | Kernel Density Estimation |
print.dist | Distance Matrix Computation |
print.ecdf | Empirical Cumulative Distribution Function |
print.factanal | Print Loadings in Factor Analysis |
print.family | Family Objects for Models |
print.formula | Model Formulae |
print.ftable | Flat Contingency Tables |
print.glm | Fitting Generalized Linear Models |
print.hclust | Hierarchical Clustering |
print.infl | Regression Deletion Diagnostics |
print.integrate | Integration of One-Dimensional Functions |
print.kmeans | K-Means Clustering |
print.lm | Fitting Linear Models |
print.loadings | Print Loadings in Factor Analysis |
print.logLik | Extract Log-Likelihood |
print.power.htest | Print method for power calculation object |
print.prcomp | Principal Components Analysis |
print.princomp | Principal Components Analysis |
print.stepfun | Step Function Class |
print.StructTS | Fit Structural Time Series |
print.summary.aov | Summarize an Analysis of Variance Model |
print.summary.aovlist | Summarize an Analysis of Variance Model |
print.summary.glm | Summarizing Generalized Linear Model Fits |
print.summary.lm | Summarizing Linear Model Fits |
print.summary.manova | Summary Method for Multivariate Analysis of Variance |
print.summary.prcomp | Principal Components Analysis |
print.summary.princomp | Summary method for Principal Components Analysis |
print.terms | Model Terms |
print.ts | Printing Time-Series Objects |
print.TukeyHSD | Compute Tukey Honest Significant Differences |
print.xtabs | Cross Tabulation |
printCoefmat | Print Coefficient Matrices |
profile | Generic Function for Profiling Models |
profile.nls | Method for Profiling nls Objects |
profiler | Constructor for Profiler Objects for Nonlinear Models |
profiler.nls | Constructor for Profiler Objects from nls Objects |
proj | Projections of Models |
promax | Rotation Methods for Factor Analysis |
prop.test | Test of Equal or Given Proportions |
prop.trend.test | Test for trend in proportions |
psignrank | Distribution of the Wilcoxon Signed Rank Statistic |
pt | The Student t Distribution |
ptukey | The Studentized Range Distribution |
punif | The Uniform Distribution |
pweibull | The Weibull Distribution |
pwilcox | Distribution of the Wilcoxon Rank Sum Statistic |
qbeta | The Beta Distribution |
qbinom | The Binomial Distribution |
qbirthday | Probability of coincidences |
qcauchy | The Cauchy Distribution |
qchisq | The (non-central) Chi-Squared Distribution |
qexp | The Exponential Distribution |
qf | The F Distribution |
qgamma | The Gamma Distribution |
qgeom | The Geometric Distribution |
qhyper | The Hypergeometric Distribution |
qlnorm | The Log Normal Distribution |
qlogis | The Logistic Distribution |
qnbinom | The Negative Binomial Distribution |
qnorm | The Normal Distribution |
qpois | The Poisson Distribution |
qqline | Quantile-Quantile Plots |
qqnorm | Quantile-Quantile Plots |
qqplot | Quantile-Quantile Plots |
qsignrank | Distribution of the Wilcoxon Signed Rank Statistic |
qt | The Student t Distribution |
qtukey | The Studentized Range Distribution |
quade.test | Quade Test |
quantile | Sample Quantiles |
quasi | Family Objects for Models |
quasibinomial | Family Objects for Models |
quasipoisson | Family Objects for Models |
qunif | The Uniform Distribution |
qweibull | The Weibull Distribution |
qwilcox | Distribution of the Wilcoxon Rank Sum Statistic |
rbeta | The Beta Distribution |
rbinom | The Binomial Distribution |
rcauchy | The Cauchy Distribution |
rchisq | The (non-central) Chi-Squared Distribution |
read.ftable | Manipulate Flat Contingency Tables |
rect.hclust | Draw Rectangles Around Hierarchical Clusters |
reformulate | Modify Terms Objects |
relevel | Reorder Levels of Factor |
reorder | Reorder Levels of a Factor |
reorder.dendrogram | Reorder a Dendrogram |
reorder.factor | Reorder Levels of a Factor |
replications | Number of Replications of Terms |
reshape | Reshape Grouped Data |
resid | Extract Model Residuals |
residuals | Extract Model Residuals |
residuals.glm | Accessing Generalized Linear Model Fits |
residuals.lm | Accessing Linear Model Fits |
residuals.tukeyline | Robust Line Fitting |
rev.dendrogram | General Tree Structures |
rexp | The Exponential Distribution |
rf | The F Distribution |
rgamma | The Gamma Distribution |
rgeom | The Geometric Distribution |
rhyper | The Hypergeometric Distribution |
rlnorm | The Log Normal Distribution |
rlogis | The Logistic Distribution |
rmultinom | The Multinomial Distribution |
rnbinom | The Negative Binomial Distribution |
rnorm | The Normal Distribution |
rpois | The Poisson Distribution |
rsignrank | Distribution of the Wilcoxon Signed Rank Statistic |
rstandard | Regression Deletion Diagnostics |
rstudent | Regression Deletion Diagnostics |
rt | The Student t Distribution |
runif | The Uniform Distribution |
runmed | Running Medians - Robust Scatter Plot Smoothing |
rweibull | The Weibull Distribution |
rwilcox | Distribution of the Wilcoxon Rank Sum Statistic |
SafePrediction | Utility Function for Safe Prediction |
scatter.smooth | Scatter Plot with Smooth Curve Fitted by Loess |
screeplot | Screeplot of PCA Results |
sd | Standard Deviation |
se.contrast | Standard Errors for Contrasts in Model Terms |
selfStart | Construct Self-starting Nonlinear Models |
setNames | Set the Names in an Object |
shapiro.test | Shapiro-Wilk Normality Test |
SignRank | Distribution of the Wilcoxon Signed Rank Statistic |
simulate | Simulate Responses |
smooth | Tukey's (Running Median) Smoothing |
smooth.spline | Fit a Smoothing Spline |
smoothEnds | End Points Smoothing (for Running Medians) |
sortedXyData | Create a sortedXyData object |
spec | Spectral Density Estimation |
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 |
spec.taper | Taper a Time Series by a Cosine Bell |
spectrum | Spectral Density Estimation |
spline | Interpolating Splines |
splinefun | Interpolating Splines |
SSasymp | Asymptotic Regression Model |
SSasympOff | Asymptotic Regression Model with an Offset |
SSasympOrig | Asymptotic Regression Model through the Origin |
SSbiexp | Biexponential model |
SSD | SSD Matrix and Estimated Variance Matrix in Multivariate Models |
SSfol | First-order Compartment Model |
SSfpl | Four-parameter Logistic Model |
SSgompertz | Gompertz Growth Model |
SSlogis | Logistic Model |
SSmicmen | Michaelis-Menten Model |
SSweibull | Weibull growth curve model |
start | Encode the Terminal Times of Time Series |
stat.anova | GLM Anova Statistics |
stats | The R Stats Package |
stats-deprecated | Deprecated Functions in Stats package |
step | Choose a model by AIC in a Stepwise Algorithm |
stepfun | Step Function Class |
stl | Seasonal Decomposition of Time Series by Loess |
str.dendrogram | General Tree Structures |
str.logLik | Extract Log-Likelihood |
StructTS | Fit Structural Time Series |
summary.aov | Summarize an Analysis of Variance Model |
summary.aovlist | Summarize an Analysis of Variance Model |
summary.glm | Summarizing Generalized Linear Model Fits |
summary.infl | Regression Deletion Diagnostics |
summary.lm | Summarizing Linear Model Fits |
summary.manova | Summary Method for Multivariate Analysis of Variance |
summary.mlm | Summarizing Linear Model Fits |
summary.prcomp | Principal Components Analysis |
summary.princomp | Summary method for Principal Components Analysis |
summary.stepfun | Step Function Class |
supsmu | Friedman's SuperSmoother |
symnum | Symbolic Number Coding |
t.test | Student's t-Test |
t.ts | Time-Series Objects |
TDist | The Student t Distribution |
termplot | Plot regression terms |
terms | Model Terms |
terms.formula | Construct a terms Object from a Formula |
terms.object | Description of Terms Objects |
terms.terms | Model Terms |
time | Sampling Times of Time Series |
toeplitz | Form Symmetric Toeplitz Matrix |
ts | Time-Series Objects |
ts.intersect | Bind Two or More Time Series |
ts.plot | Plot Multiple Time Series |
ts.union | Bind Two or More Time Series |
tsdiag | Diagnostic Plots for Time-Series Fits |
tsp | Tsp Attribute of Time-Series-like Objects |
tsSmooth | Use Fixed-Interval Smoothing on Time Series |
Tukey | The Studentized Range Distribution |
TukeyHSD | Compute Tukey Honest Significant Differences |
Uniform | The Uniform Distribution |
uniroot | One Dimensional Root (Zero) Finding |
update | Update and Re-fit a Model Call |
update.formula | Model Updating |
var | Correlation, Variance and Covariance (Matrices) |
var.test | F Test to Compare Two Variances |
variable.names | Case and Variable Names of Fitted Models |
varimax | Rotation Methods for Factor Analysis |
vcov | Calculate Variance-Covariance Matrix for a Fitted Model Object |
Weibull | The Weibull Distribution |
weighted.mean | Weighted Arithmetic Mean |
weighted.residuals | Compute Weighted Residuals |
weights | Accessing Linear Model Fits |
weights.glm | Fitting Generalized Linear Models |
wilcox.test | Wilcoxon Rank Sum and Signed Rank Tests |
Wilcoxon | Distribution of the Wilcoxon Rank Sum Statistic |
window | Time Windows |
write.ftable | Manipulate Flat Contingency Tables |
xtabs | Cross Tabulation |
[.acf | Auto- and Cross- Covariance and -Correlation Function Estimation |
[.formula | Model Formulae |
[.terms | Modify Terms Objects |
[.ts | Time-Series Objects |
[[.dendrogram | General Tree Structures |