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HH (version 2.1-2)

Statistical Analysis and Data Display: Heiberger and Holland

Description

Support software for Statistical Analysis and Data Display (Springer, ISBN 0-387-40270-5). This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data---showing code, graphics, and accompanying computer listings---for all the methods they cover. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print. All chapters have exercises.

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Version

Install

install.packages('HH')

Monthly Downloads

7,301

Version

2.1-2

License

GPL version 2 or newer

Maintainer

Richard Heiberger

Last Published

January 27th, 2022

Functions in HH (2.1-2)

if.R

Conditional Execution for R or S-Plus
multicomp.reverse

Force all comparisons in a "multicomp" object to have the same sign.
ae.dotplot

AE (Adverse Events) dotplot of incidence and relative risk
axis.i2wt

specialized axis function for interaction2wt.
legendGrob2wt

place separate keys to the left of each row of a trellis
grid.yaxis.hh

make x- and y-axis labels
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.
hov

Homogeneity of Variance
interaction.positioned

interaction method for positioned factors.
aov.sufficient

Analysis of variance from sufficient statistics for groups.
strip.xysplom

strip function that is able to place the correlation or regression coefficient into the strip label.
ancova-class

Class "ancova" Analysis of Covariance
arma.loop

Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
npar.arma

Count the number of parameters in an ARIMA model specification.
panel.cartesian

trellis panel function, with labeled rows and columns and without strip labels.
norm.curve

plot a normal or a t-curve with both x and z axes.
as.multicomp

Support functions in R for MMC (mean--mean multiple comparisons) plots.
anova.mean

ANOVA table from the group sample sizes, means, and standard deviations.
ci.plot

Plot confidence and prediction intervals for simple linear regression
resid.squares

plot squared residuals in inches to match the y-dimension
diag.maybe.null

Returns a value for the diagonal of NA and NULL arguments.
mcalinfct

MCA multiple comparisons analysis (pairwise)
hh

Resolve filenames relative to the HH directory.
regr1.plot

plot x and y, with optional straight line fit and display of squared residuals
positioned-class

Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
HH_regsubsets

Display tabular results for Best Subsets Regression.
mmc.mean

MMC (mean--mean multiple comparisons) plots from the sufficient statistics for a one-way design.
GSremove

Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
plot.hov

Homogeneity of Variance Plot
xysplom

scatterplot matrix with potentially different sets of variables on the rows and columns.
vif

Calculate the Variance Inflation Factor
export.eps

Exports a graph to an EPS file.
multicomp.order

Update a multicomp object by ordering its contrasts.
col.hh

Initializing Trellis Displays
plot.multicomp

Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
X.residuals

Residuals from the regression of each column of a data.frame against all the other columns.
panel.dotplot.tb

Dotplot with evenly spaced tiebreakers.
orthog.complete

Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
glht.mcp.993

Retain averaging behavior that was previously available in glht.
ladder

Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
bwplot.formula

Replacement for bwplot.formula and compute.packet in R to allow them to work with the new "positioned" class.
gof.calculation

Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
t.trellis

Interchange the x- and y-axes for an S-Plus trellis object. Interchange the conditioning variables for an R trellis object.
panel.bwplot.intermediate.hh

Panel functions for bwplot.
tsdiagplot

Times series diagnostic plots for a structured set of ARIMA models.
panel.pairs.hh

Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
odds.ratio

Calculate or plot the odds ratio for a 2x2 table of counts.
panel.interaction2wt

Plot all main effects and twoway interactions in a multifactor design
mmc

MMC (mean--mean multiple comparisons) plots.
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.
push.vp.hh

push and pop a grid viewport, turn clipping off, change scale.
panel.xysplom

panel method for xysplom.
partial.corr

partial correlations
panel.acf

Panel functions for tsdiagplot.
interaction2wt

Plot all main effects and twoway interactions in a multifactor design
F.curve

plot a chisquare or a F-curve.
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
panel.bwplott

Extension to S-Plus trellis to allow transposed plots.
HH-package

Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
extra

Miscellaneous functions that I wish were in or consistent between S-Plus and R.
ancova

Compute and plot oneway analysis of covariance
plot.mmc.multicomp

MMC (Mean--mean Multiple Comparisons) plot.
objip

loop through all attached directories looking for pattern
seqplot

Time series plot.
lm.case

case statistics for regression analysis
residual.plots

Residual plots for a linear model.
strip.background0

Turn off the coloring in the trellis strip labels. Color 0 is the background color.
arima.diag.hh

Repair design error in S-Plus arima.diag
summary.arma.loop

summary and print and subscript methods for tsdiagplot and related objects.
tsacfplots

Coordinated time series and ACF and PCF plots.
intxplot

Interaction plot, with an option to print standard error bars.
panel.ci.plot

Default Panel Function for ci.plot
print.tsdiagplot

Print a "tsdiagplot" object.
persp.plane

Helper functions for regr2.plot
cp.calc

Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
dchisq.intermediate

Intermediate f and chisq functions to simplify writing for both R and S-Plus.
lm.regsubsets

Evaluate lm model with highest adjusted $R^2$.
seqplot.forecast

seqplot with confidence bands for the forecast region.
regr2.plot

3D plot of z against x and y, with regression plane fit and display of squared residuals.
logit

Logistic function and its inverse.
lmatRows

Find the row numbers in the lmat corresponding to the focus factor.