HH-package |
Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland |
analysis of covariance |
Compute and plot oneway analysis of covariance |
ancova |
Compute and plot oneway 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. |
as.hmtest |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
as.multicomp |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
ci.plot |
Plot confidence and prediction intervals for simple linear regression |
coef.ancova |
Compute and plot oneway analysis of covariance |
coefficients.ancova |
Compute and plot oneway analysis of covariance |
col.hh |
Initializing Trellis Displays |
covariance |
Compute and plot oneway analysis of covariance |
do.formula.trellis.xysplom |
Interprets model formulas for xysplom and extended bwplots |
export.eps |
Exports a graph to an EPS file. |
grid.xaxis.hh |
make x- and y-axis labels |
grid.yaxis.hh |
make x- and y-axis labels |
HH |
Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland |
hh |
Resolve filenames relative to the HH directory. |
HH.ROOT.DIR |
Resolve filenames relative to the HH directory. |
hov |
Homogeneity of Variance |
if.R |
Conditional Execution for R or S-Plus |
interaction2wt |
Plot all main effects and twoway interactions in a multifactor design |
ladder |
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. |
lm.case |
case statistics for regression analysis |
make.xaxis.hh.labels |
make x- and y-axis labels |
make.yaxis.hh.labels |
make x- and y-axis labels |
MMC |
MMC (mean-mean multiple comparisons) plots. |
mmc |
MMC (mean-mean multiple comparisons) plots. |
model.frame.ancova |
Compute and plot oneway analysis of covariance |
multicomp |
MMC (mean-mean multiple comparisons) plots. |
multicomp.label.change |
Update a multicomp object by ordering its contrasts. |
multicomp.label.change.mmc.multicomp |
Update a multicomp object by ordering its contrasts. |
multicomp.label.change.multicomp |
Update a multicomp object by ordering its contrasts. |
multicomp.mean |
MMC (mean-mean multiple comparisons) plots from the sufficient statistics for a one-way design. |
multicomp.mmc |
MMC (mean-mean multiple comparisons) plots. |
multicomp.mmc.mean |
MMC (mean-mean multiple comparisons) plots from the sufficient statistics for a one-way design. |
multicomp.order |
Update a multicomp object by ordering its contrasts. |
multicomp.reverse |
Force all comparisons in a "hmtest" from simint to have the same sign. |
norm.curve |
plot a normal curve with both x and z axes. |
norm.setup |
plot a normal curve with both x and z axes. |
objip |
loop through all attached directories looking for pattern |
odds.ratio |
Calculate or plot the odds ratio for a 2x2 table of counts. |
panel.ancova |
Compute and plot oneway analysis of covariance |
panel.bwplot.hh |
Panel functions for bwplot. |
panel.bwplot.intermediate.hh |
Panel functions for bwplot. |
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.hov |
Homogeneity of Variance Plot |
panel.interaction2wt |
Plot all main effects and twoway interactions in a multifactor design |
panel.xysplom |
panel method for xysplom. |
partial.corr |
partial correlations |
plot.ancova |
Compute and plot oneway analysis of covariance |
plot.case |
case statistics for regression analysis |
plot.hov |
Homogeneity of Variance Plot |
plot.mmc.multicomp |
MMC (Mean-mean Multiple Comparisons) plot. |
plot.multicomp |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
plot.odds.ratio |
Calculate or plot the odds ratio for a 2x2 table of counts. |
pop.vp.hh |
push and pop a grid viewport, turn clipping off, change scale. |
predict.ancova |
Compute and plot oneway analysis of covariance |
print.ancova |
Compute and plot oneway analysis of covariance |
print.mmc.multicomp |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
push.vp.hh |
push and pop a grid viewport, turn clipping off, change scale. |
regr1.plot |
plot x and y,
with optional straight line fit and display of squared residuals |
resid.squares |
plot squared residuals in inches to match the y-dimension |
simint.mean |
MMC (mean-mean multiple comparisons) plots from the sufficient statistics for a one-way design. |
simint.mmc |
MMC (mean-mean multiple comparisons) plots. |
simint.mmc.mean |
MMC (mean-mean multiple comparisons) plots from the sufficient statistics for a one-way design. |
simint.reverse |
Force all comparisons in a "hmtest" from simint to have the same sign. |
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. |
summary.ancova |
Compute and plot oneway analysis of covariance |
t.trellis |
Interchange the x- and y-axes for an S-Plus trellis object.
Identity function for an R lattice object. |
vif |
Calculate the Variance Inflation Factor |
X.residuals |
Residuals from the regression of each column of a
data.frame against all the other columns. |
xysplom |
scatterplot matrix with potentially different sets of variables
on the rows and columns. |
[.mmc.multicomp |
MMC (mean-mean multiple comparisons) plots. |