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HH (version 3.1-14)

Statistical Analysis and Data Display: Heiberger and Holland

Description

Support software for Statistical Analysis and Data Display (First Edition, Springer, ISBN 0-387-40270-5, 2004) and (Second Edition, Springer, ISBN 978-1-4939-2121-8, anticipated 2015) by Richard M. Heiberger and Burt Holland. This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The second edition includes redesigned graphics and additional chapters. The authors 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. All functions introduced in the book are in the package. R code for all examples, both graphs and tables, in the book is included in the scripts directory of the package.

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Version

Install

install.packages('HH')

Monthly Downloads

7,420

Version

3.1-14

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

January 9th, 2015

Functions in HH (3.1-14)

Find absolute pathname of a script file for the HH book in the HH package.

Analysis of variance from sufficient statistics for groups.

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

Plot confidence and prediction intervals for simple linear regression

gof.calculation

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

Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet

Compute and plot oneway analysis of covariance

MMC (Mean-mean Multiple Comparisons) plots in lattice.

R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode

glhtWithMCP.993

Retain averaging behavior that was previously available in glht.

AE (Adverse Events) dotplot of incidence and relative risk

Defunct Functions in Package 'HH'

Analysis of Covariance Plots

Display tabular results for Best Subsets Regression.

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

specialized axis function for interaction2wt.

Selection of colors for Likert plots.

bivariateNormal

Plot the bivariate normal density using wireframe for specified rho.

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

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

Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data.

Initializing Trellis Displays

print.latticeresids

Print a latticeresids object.

Extension to S-Plus trellis to allow transposed plots.

Displays a three-panel bwplot of the data by group, of the group means, and of the entire dataset. This is an approximate visualization of the Mean Square lines from the ANOVA table for a one-way ANOVA model.

print.tsdiagplot

Print a "tsdiagplot" object.

Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work.

Exports a graph to an EPS file.

Generate a sequence spanning the xlim of a lattice window.

panel.bwplot.superpose

Panel function for bwplot that displays an entire box in the colors coded by groups.

panel.interaction2wt

Plot all main effects and twoway interactions in a multifactor design

isomeans grid for MMC plots.

Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial.

Resolve filenames relative to the HH directory.

interaction.positioned

interaction method for positioned factors.

mmcPruneIsomeans

MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor.

panel.confintMMC

Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.

combineLimits.trellisvector

Combine limits on a one-dimensional trellis object.

anova.ancovaplot

ANOVA table for a c("ancovaplot","trellis") object.

LikertPercentCountColumns

Display likert plots with percents in the first column of panels and counts in the second column of panels.

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

emptyMainLeftAxisLeftStripBottomLegend

Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items.

Repair design error in S-Plus arima.diag

orthog.complete

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

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

plot.mmc.multicomp

MMC (Mean--mean Multiple Comparisons) plot.

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.

Logistic and odds functions and their inverses.

ResizeEtc.likertPlot

Display multiple independent trellis objects, representing likert plots, on the same coordinated scale.

panel method for xysplom.

Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals.

place separate keys to the left of each row of a trellis

partial correlations

Class "ancova" Analysis of Covariance

Plot all main effects and twoway interactions in a multifactor design

AE (Adverse Events) dotplot of incidence and relative risk

panel.bwplot.intermediate.hh

Panel functions for bwplot.

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

MCA multiple comparisons analysis (pairwise)

Conditional Execution for R or S-Plus

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

Count the number of parameters in an ARIMA model specification.

Default Panel Function for ci.plot

Panel functions for tsdiagplot.

Functions used by mmcplot.

loop through all attached directories looking for pattern

as.matrix.listOfNamedMatrices

Convert a list of matrices to a single matrix

Datasets for Statistical Analysis and Data Display, Heiberger and Holland

MMC (Mean--mean Multiple Comparisons) plots.

Four types of residual plots for linear models.

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

normalApproxBinomial

Plots to illustrate Normal Normal Approximation to the Binomial---hypothesis tests or confidence intervals.

dchisq.intermediate

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

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

plot a chisquare or a F-curve.

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

MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design.

Homogeneity of Variance

multicomp.reverse

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

Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style.

Display multiple independent trellis objects on the same coordinated scale.

Helper functions for regr2.plot

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

Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.

Control aspect ratio in MMC plots to maintain isomeans grid as a square.

Coordinated time series and ACF and PCF plots.

panel.cartesian

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

print.NormalAndTplot

Print method for Normal and t plots from NTplot.

panel.axis.right

Right-justify right-axis tick labels.

Prediction and Confidence Intervals for glm Objects

residual.plots.lattice

Construct four sets of regression plots: Y against X, residuals against X, partial residuals against X, partial residuals against each X adjusted for all the other X columns.

Calculates the mean, standard deviation, and number of observations in each group of a data.frame that has one continuous variable and two factors.

Homogeneity of Variance: Brown--Forsyth method

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

Homogeneity of Variance Plot

panel.dotplot.tb

Dotplot with evenly spaced tiebreakers.

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

plot squared residuals in inches to match the y-dimension

diag.maybe.null

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

Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat

positioned-class

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

Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares.

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

as.vector.trellis

Convert a two-dimensional trellis object into a one-dimensional trellis object.

make x- and y-axis labels

multicomp.order

Update a multicomp object by ordering its contrasts.

QQ plot of regression residuals.

strip.background0

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

seqplot.forecast

seqplot with confidence bands for the forecast region.

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

Subroutine used by residual.plots.lattice

Residual plots for a linear model.

Discrete Uniform Distribution

Extend matrix reshaping functions to trellis objects.

useOuterStripsT2L1

Three-factor generalization of latticeExtra::useOuterStrips

Time series plot.

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

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

Panel functions for likert that include a stackWidth argument

Print a Likert plot as a Population Triangle

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

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

Calculate the Variance Inflation Factor

Transpose of ECDF for centered fitted values and residuals from a linear model.

AEdotplot.data.frame

AE (Adverse Events) dotplot of incidence and relative risk, support functions

print.TwoTrellisColumns

Print two conformable trellis plots in adjacent columns with user control of widths.

summary.arma.loop

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

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

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

NormalAndTPower

Construct a power graph based on the NTplot.

do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots

case statistics for regression analysis