HH v3.1-37
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Statistical Analysis and Data Display: Heiberger and Holland
Support software for Statistical Analysis and Data Display (Second Edition, Springer, ISBN 978-1-4939-2121-8, 2015) and (First Edition, Springer, ISBN 0-387-40270-5, 2004) 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.
Functions in HH
| Name | Description | |
| defunct | Defunct Functions in Package 'HH' | |
| Discrete4 | Discrete with four levels color dataset. | |
| GSremove | Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet | |
| HH-package | HH | |
| F.curve | plot a chisquare or a F-curve. | |
| HH.regsubsets | Display tabular results for Best Subsets Regression. | |
| CIplot | Illustration of the meaning of confidence levels. | |
| HHscriptnames | Find absolute pathname of a script file for the HH book in the HH package. | |
| LikertPercentCountColumns | Display likert plots with percents in the first column of panels and counts in the second column of panels. | |
| NTplot | Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial. | |
| X.residuals | Residuals from the regression of each column of a data.frame against all the other columns. | |
| ae.dotplot | AE (Adverse Events) dotplot of incidence and relative risk | |
| OneWayVarPlot | 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. | |
| NormalAndTplot | Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals. | |
| as.multicomp | Support functions in R for MMC (mean--mean multiple comparisons) plots. | |
| arima.diag.hh | Repair design error in S-Plus arima.diag | |
| AEdotplot | AE (Adverse Events) dotplot of incidence and relative risk | |
| as.vector.trellis | Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object. | |
| AEdotplot.data.frame | AE (Adverse Events) dotplot of incidence and relative risk, support functions | |
| anovaMean | ANOVA table from the group sample sizes, means, and standard deviations. | |
| axis.i2wt | specialized axis function for interaction2wt. | |
| ResizeEtc | Display multiple independent trellis objects on the same coordinated scale. | |
| ResizeEtc.likertPlot | Display multiple independent trellis objects, representing likert plots, on the same coordinated scale. | |
| arma.loop | Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. | |
| aovSufficient | Analysis of variance from sufficient statistics for groups. | |
| combineLimits.trellisvector | Combine limits on a one-dimensional trellis object. | |
| do.formula.trellis.xysplom | Interprets model formulas for xysplom and extended bwplots | |
| pdiscunif | Discrete Uniform Distribution | |
| col3x2 | col3x2 color dataset | |
| interval | Prediction and Confidence Intervals for glm Objects | |
| intxplot | Interaction plot, with an option to print standard error bars. | |
| extra | ||
| bivariateNormal | Plot the bivariate normal density using wireframe for specified rho. | |
| dchisq.intermediate | Intermediate f and chisq functions to simplify writing for both R and S-Plus. | |
| hovBF | Homogeneity of Variance: Brown--Forsyth method | |
| interaction.positioned | interaction method for positioned factors. | |
| if.R | Conditional Execution for R or S-Plus | |
| ancova-class | Class "ancova" Analysis of Covariance | |
| ancovaplot | Analysis of Covariance Plots | |
| lm.case | case statistics for regression analysis | |
| interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| lmatRows | Find the row numbers in the lmat corresponding to the focus factor. | |
| lmatPairwise | lmatPairwise | |
| lmplot | Four types of residual plots for linear models. | |
| logit | Logistic and odds functions and their inverses. | |
| export.eps | Exports a graph to an EPS file. | |
| cplx | Generate a sequence spanning the xlim of a lattice window. | |
| cp.calc | Rearranges and improves the legibility of the output from the stepwise function in S-Plus. | |
| emptyMainLeftAxisLeftStripBottomLegend | Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items. | |
| col.hh | Initializing Trellis Displays | |
| objip | loop through all attached directories looking for pattern, possibly restricting to specified class or mode. | |
| gof.calculation | Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus. | |
| glhtWithMCP.993 | Retain averaging behavior that was previously available in glht. | |
| anova.ancovaplot | ANOVA table for a c("ancovaplot","trellis") object. | |
| ci.plot | Plot confidence and prediction intervals for simple linear regression | |
| OddsRatio | Calculate or plot the odds ratio for a 2x2 table of counts. | |
| ancova | Compute and plot oneway analysis of covariance | |
| panel.axis.right | Right-justify right-axis tick labels. | |
| mmcplot | MMC (Mean-mean Multiple Comparisons) plots in lattice. | |
| NormalAndTPower | Construct a power graph based on the NTplot. | |
| lm.regsubsets | Evaluate lm model with highest adjusted $R^2$. | |
| mmcisomeans | Functions used by mmcplot. | |
| panel.bwplot.intermediate.hh | Panel functions for bwplot. | |
| norm.curve | plot a normal or a t-curve with both x and z axes. | |
| mmc.mean | MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design. | |
| mmc | MMC (Mean--mean Multiple Comparisons) plots. | |
| panel.cartesian | trellis panel function, with labeled rows and columns and without strip labels. | |
| ladder | Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. | |
| mmcAspect | Control aspect ratio in MMC plots to maintain isomeans grid as a square. | |
| latticeresids | Subroutine used by residual.plots.lattice | |
| legendGrob2wt | place separate keys to the left of each row of a trellis | |
| grid.yaxis.hh | make x- and y-axis labels | |
| orthog.complete | Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns. | |
| panel.acf | Panel functions for tsdiagplot. | |
| hh | Resolve filenames relative to the HH directory. | |
| likert | Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. | |
| perspPlane | Helper functions for regr2.plot | |
| panel.bwplott | Extension to S-Plus trellis to allow transposed plots. | |
| panel.bwplot.superpose | Panel function for bwplot that displays an entire box in the colors coded by groups. | |
| print.latticeresids | Print a latticeresids object. | |
| plot.hov | Homogeneity of Variance Plot | |
| regr1.plot | plot x and y, with optional straight line fit and display of squared residuals | |
| rbind.trellis | Extend matrix reshaping functions to trellis objects. | |
| residual.plots | Residual plots for a linear model. | |
| xysplom | scatterplot matrix with potentially different sets of variables on the rows and columns. | |
| 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. | |
| as.likert | Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. | |
| datasets | Datasets for Statistical Analysis and Data Display, Heiberger and Holland | |
| diag.maybe.null | Returns a value for the diagonal of NA and NULL arguments. | |
| as.matrix.listOfNamedMatrices | Convert a list of matrices to a single matrix | |
| mmcPruneIsomeans | MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor. | |
| multicomp.order | Update a multicomp object by ordering its contrasts. | |
| diagQQ | QQ plot of regression residuals. | |
| seqplot | Time series plot. | |
| print.tsdiagplot | Print a "tsdiagplot" object. | |
| multicomp.reverse | Force all comparisons in a "multicomp" object to have the same sign. | |
| plot.mmc.multicomp | MMC (Mean--mean Multiple Comparisons) plot. | |
| panel.xysplom | panel method for xysplom. | |
| panel.ci.plot | Default Panel Function for ci.plot | |
| partial.corr | partial correlations | |
| pyramidLikert | Print a Likert plot as a Population Triangle | |
| push.vp.hh | push and pop a grid viewport, turn clipping off, change scale. | |
| seqplot.forecast | seqplot with confidence bands for the forecast region. | |
| summary.arma.loop | summary and print and subscript methods for tsdiagplot and related objects. | |
| tsacfplots | Coordinated time series and ACF and PCF plots. | |
| normalApproxBinomial | Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals. | |
| plot.multicomp | Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. | |
| npar.arma | Count the number of parameters in an ARIMA model specification. | |
| diagplot5new | Transpose of ECDF for centered fitted values and residuals from a linear model. | |
| panel.confintMMC | Confidence interval panel for MMC tiebreaker plots, or confidence interval plot. | |
| 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. | |
| panel.dotplot.tb | Dotplot with evenly spaced tiebreakers. | |
| positioned-class | Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor. | |
| 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. | |
| print.NormalAndTplot | Print method for Normal and t plots from NTplot. | |
| hhpdf | R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex | |
| likertColor | Selection of colors for Likert plots. | |
| matrix.trellis | Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work. | |
| likertMosaic | Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style. | |
| mcalinfct | MCA multiple comparisons analysis (pairwise) | |
| hov | Homogeneity of Variance | |
| panel.isomeans | isomeans grid for MMC plots. | |
| panel.interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| strip.useOuterStrips.first | Functions based on strip.default for use with the useOuterScales function. | |
| print.TwoTrellisColumns | Print two conformable trellis plots in adjacent columns with user control of widths. | |
| strip.background0 | Turn off the coloring in the trellis strip labels. Color 0 is the background color. | |
| tsdiagplot | Times series diagnostic plots for a structured set of ARIMA models. | |
| useOuterScales | Put scales for axes only on the bottom and left panels of a lattice display, and give fine control over the placement of strips | |
| panel.likert | Panel functions for likert that include a stackWidth argument | |
| panel.pairs.hh | Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments. | |
| regrresidplot | Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares. | |
| residVSfitted | Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat | |
| vif | Calculate the Variance Inflation Factor | |
| useOuterStripsT2L1 | Three-factor generalization of latticeExtra::useOuterStrips | |
| resid.squares | plot squared residuals in inches to match the y-dimension | |
| regr2.plot | 3D plot of z against x and y, with regression plane fit and display of squared residuals. | |
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Details
| Type | Package |
| Date | 2019-08-28 |
| License | GPL (>= 2) |
| NeedsCompilation | no |
| Packaged | 2019-08-29 03:06:52 UTC; rmh |
| Repository | CRAN |
| Date/Publication | 2019-08-29 10:10:02 UTC |
| imports | abind , colorspace , grDevices , Hmisc , leaps , methods , RColorBrewer , reshape2 , Rmpfr (>= 0.6.0) , shiny (>= 0.13.1) , vcd |
| suggests | car , microplot , mvtnorm , Rcmdr , RcmdrPlugin.HH , TeachingDemos |
| depends | graphics , grid , gridExtra (>= 2.0.0) , lattice , latticeExtra , multcomp , R (>= 3.0.2) , stats |
| Contributors | Richard Heiberger |
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