acf.pacf.plot |
Coordinated time series and ACF and PCF plots. |
acfplot |
Times series diagnostic plots for a structured set of
ARIMA models. |
AE.dotplot |
AE (Adverse Events) dotplot of incidence and relative risk |
ae.dotplot |
AE (Adverse Events) dotplot of incidence and relative risk |
ae.dotplot.long |
AE (Adverse Events) dotplot of incidence and relative risk |
AEdotplot |
AE (Adverse Events) dotplot of incidence and relative risk |
aedotplot |
AE (Adverse Events) dotplot of incidence and relative risk |
aeReshapeToLong |
AE (Adverse Events) dotplot of incidence and relative risk |
aicsigplot |
Times series diagnostic plots for a structured set of
ARIMA models. |
analysis of covariance |
Compute and plot oneway analysis of covariance |
ancova |
Compute and plot oneway analysis of covariance |
ancova-class |
Class "ancova" Analysis of Covariance |
anova.ancova |
Compute and plot oneway analysis of covariance |
anova.mean |
ANOVA table from the group sample sizes, means, and standard deviations. |
antilogit |
Logistic function and its inverse. |
aov.sufficient |
Analysis of variance from sufficient statistics for groups. |
arima.diag.hh |
Repair design error in S-Plus arima.diag |
arima.model |
Miscellaneous functions that I wish were in or consistent between
S-Plus and R. |
arma.loop |
Loop through a series of ARIMA models and display coordinated
tables and diagnoastic graphs. |
as.character.arima.model |
Miscellaneous functions that I wish were in or consistent between
S-Plus and R. |
as.glht |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
as.glht.multicomp |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
as.multicomp |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
as.multicomp.glht |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
as.numeric.positioned |
Find or assign the implied position for graphing the levels of a
factor.
A new class "positioned", which inherits from "ordered" and "factor",
is defined. |
as.position |
Find or assign the implied position for graphing the levels of a
factor.
A new class "positioned", which inherits from "ordered" and "factor",
is defined. |
as.positioned |
Find or assign the implied position for graphing the levels of a
factor.
A new class "positioned", which inherits from "ordered" and "factor",
is defined. |
as.rts |
Miscellaneous functions that I wish were in or consistent between
S-Plus and R. |
axis.i2wt |
specialized axis function for interaction2wt. |
if.R |
Conditional Execution for R or S-Plus |
interaction.positioned |
interaction method for positioned factors. |
interaction2wt |
Plot all main effects and twoway interactions in a multifactor design |
interaction2wt.default |
Plot all main effects and twoway interactions in a multifactor design |
interaction2wt.formula |
Plot all main effects and twoway interactions in a multifactor design |
intxplot |
Interaction plot, with an option to print standard error bars. |
is.na.positioned |
Find or assign the implied position for graphing the levels of a
factor.
A new class "positioned", which inherits from "ordered" and "factor",
is defined. |
is.numeric.positioned |
Find or assign the implied position for graphing the levels of a
factor.
A new class "positioned", which inherits from "ordered" and "factor",
is defined. |
is.positioned |
Find or assign the implied position for graphing the levels of a
factor.
A new class "positioned", which inherits from "ordered" and "factor",
is defined. |
ladder |
Draw a "ladder of powers" plot, plotting each of several powers
of y against the same powers of x. |
ladder.f |
Draw a "ladder of powers" plot, plotting each of several powers
of y against the same powers of x. |
ladder.fstar |
Draw a "ladder of powers" plot, plotting each of several powers
of y against the same powers of x. |
ladder3 |
Draw a "ladder of powers" plot, plotting each of several powers
of y against the same powers of x. |
legendGrob2wt |
place separate keys to the left of each row of a trellis |
lm.case |
case statistics for regression analysis |
lm.regsubsets |
Evaluate lm model with highest adjusted $R^2$. |
lmatContrast |
Find the row numbers in the lmat
corresponding to the focus factor. |
lmatRows |
Find the row numbers in the lmat
corresponding to the focus factor. |
lmatRows.glht |
Find the row numbers in the lmat
corresponding to the focus factor. |
lmatRows.lm |
Find the row numbers in the lmat
corresponding to the focus factor. |
lmatRows.mmc.multicomp |
Find the row numbers in the lmat
corresponding to the focus factor. |
lmatRows.multicomp |
Find the row numbers in the lmat
corresponding to the focus factor. |
logit |
Logistic function and its inverse. |
logrelrisk |
AE (Adverse Events) dotplot of incidence and relative risk |
panel.acf |
Panel functions for tsdiagplot. |
panel.ae.dotplot |
AE (Adverse Events) dotplot of incidence and relative risk |
panel.ae.leftplot |
AE (Adverse Events) dotplot of incidence and relative risk |
panel.ae.rightplot |
AE (Adverse Events) dotplot of incidence and relative risk |
panel.ancova |
Compute and plot oneway analysis of covariance |
panel.bwplot.intermediate.hh |
Panel functions for bwplot. |
panel.bwplott |
Extension to S-Plus trellis to allow transposed plots. |
panel.cartesian |
trellis panel function, with labeled rows and columns and without
strip labels. |
panel.case |
case statistics for regression analysis |
panel.ci.plot |
Default Panel Function for ci.plot |
panel.dotplot.tb |
Dotplot with evenly spaced tiebreakers. |
panel.gof |
Panel functions for tsdiagplot. |
panel.hov |
Homogeneity of Variance Plot |
panel.interaction2wt |
Plot all main effects and twoway interactions in a multifactor design |
panel.intxplot |
Interaction plot, with an option to print standard error bars. |
panel.pairs.hh |
Function based on S-Plus panel.pairs to add the subpanel.scales
and panel.cex arguments. |
panel.std.resid |
Panel functions for tsdiagplot. |
panel.xysplom |
panel method for xysplom. |
partial.corr |
partial correlations |
pchisq.intermediate |
Intermediate f and chisq functions to simplify writing
for both R and S-Plus. |
persp.back.wall.x |
Helper functions for regr2.plot |
persp.back.wall.y |
Helper functions for regr2.plot |
persp.floor |
Helper functions for regr2.plot |
persp.plane |
Helper functions for regr2.plot |
pf.intermediate |
Intermediate f and chisq functions to simplify writing
for both R and S-Plus. |
plot.ancova |
Compute and plot oneway analysis of covariance |
plot.case |
case statistics for regression analysis |
plot.hov |
Homogeneity of Variance Plot |
plot.hov.bf |
Homogeneity of Variance Plot |
plot.matchMMC |
Multiple comparisons plot that gives independent user control
over the appearance of the significant and not significant comparisons. |
plot.mmc.multicomp |
MMC (Mean-mean Multiple Comparisons) plot. |
plot.multicomp |
Multiple comparisons plot that gives independent user control
over the appearance of the significant and not significant comparisons. |
plot.multicomp.hh |
Multiple comparisons plot that gives independent user control
over the appearance of the significant and not significant comparisons. |
plot.odds.ratio |
Calculate or plot the odds ratio for a 2x2 table of counts. |
plot.summary_HH_regsubsets |
Display tabular results for Best Subsets Regression. |
pop.vp.hh |
push and pop a grid viewport, turn clipping off, change scale. |
position |
Find or assign the implied position for graphing the levels of a
factor.
A new class "positioned", which inherits from "ordered" and "factor",
is defined. |
position<- |
Find or assign the implied position for graphing the levels of a
factor.
A new class "positioned", which inherits from "ordered" and "factor",
is defined. |
positioned |
Find or assign the implied position for graphing the levels of a
factor.
A new class "positioned", which inherits from "ordered" and "factor",
is defined. |
positioned-class |
Class "positioned", extends "ordered" to specify the position
for graphing the levels of a factor. |
predict.ancova |
Compute and plot oneway analysis of covariance |
print.ancova |
Compute and plot oneway analysis of covariance |
print.arma.loop |
summary and print and subscript methods for tsdiagplot and related objects. |
print.arma.loop.list |
summary and print and subscript methods for tsdiagplot and related objects. |
print.cp.object |
Rearranges and improves the legibility of the output from
the stepwise function in S-Plus. |
print.glht.mmc.multicomp |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
print.mmc.multicomp |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
print.multicomp |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
print.multicomp.hh |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
print.positioned |
Find or assign the implied position for graphing the levels of a
factor.
A new class "positioned", which inherits from "ordered" and "factor",
is defined. |
print.summary_HH_regsubsets |
Display tabular results for Best Subsets Regression. |
print.tsacfplots |
summary and print and subscript methods for tsdiagplot and related objects. |
print.tsdiagplot |
Print a "tsdiagplot" object. |
print1.tsdiagplot |
Print a "tsdiagplot" object. |
print2.tsdiagplot |
Print a "tsdiagplot" object. |
push.vp.hh |
push and pop a grid viewport, turn clipping off, change scale. |
seqplot |
Time series plot. |
seqplot.default |
Time series plot. |
seqplot.forecast |
seqplot with confidence bands for the forecast region. |
seqplot.rts |
Time series plot. |
seqplot.ts |
Time series plot. |
strip.background0 |
Turn off the coloring in the trellis strip labels. Color 0 is the
background color. |
strip.interaction2wt |
Plot all main effects and twoway interactions in a multifactor design |
strip.ladder |
Draw a "ladder of powers" plot, plotting each of several powers
of y against the same powers of x. |
strip.xysplom |
strip function that is able to place the correlation or regression
coefficient into the strip label. |
sufficient |
Calculates the mean, standard deviation, and number of
observations in each group of a data.frame that has one continuous
variable and two factors. |
summary.ancova |
Compute and plot oneway analysis of covariance |
summary.arma.loop |
summary and print and subscript methods for tsdiagplot and related objects. |
summary.arma.loop.list |
summary and print and subscript methods for tsdiagplot and related objects. |
summary_HH |
Display tabular results for Best Subsets Regression. |
summary_HH.regsubsets |
Display tabular results for Best Subsets Regression. |