HH v3.1-34
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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 | |
| arima.diag.hh | Repair design error in S-Plus arima.diag | |
| anovaMean | ANOVA table from the group sample sizes, means, and standard deviations. | |
| AEdotplot.data.frame | AE (Adverse Events) dotplot of incidence and relative risk, support functions | |
| anova.ancovaplot | ANOVA table for a c("ancovaplot","trellis") object. | |
| arma.loop | Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. | |
| ancova | Compute and plot oneway analysis of covariance | |
| aovSufficient | Analysis of variance from sufficient statistics for groups. | |
| ae.dotplot | AE (Adverse Events) dotplot of incidence and relative risk | |
| AEdotplot | AE (Adverse Events) dotplot of incidence and relative risk | |
| ancova-class | Class "ancova" Analysis of Covariance | |
| as.multicomp | Support functions in R for MMC (mean--mean multiple comparisons) plots. | |
| axis.i2wt | specialized axis function for interaction2wt. | |
| col.hh | Initializing Trellis Displays | |
| CIplot | Illustration of the meaning of confidence levels. | |
| bivariateNormal | Plot the bivariate normal density using wireframe for specified rho. | |
| as.likert | Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. | |
| ci.plot | Plot confidence and prediction intervals for simple linear regression | |
| col3x2 | col3x2 color dataset | |
| as.matrix.listOfNamedMatrices | Convert a list of matrices to a single matrix | |
| as.vector.trellis | Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object. | |
| diag.maybe.null | Returns a value for the diagonal of NA and NULL arguments. | |
| cplx | Generate a sequence spanning the xlim of a lattice window. | |
| diagplot5new | Transpose of ECDF for centered fitted values and residuals from a linear model. | |
| cp.calc | Rearranges and improves the legibility of the output from the stepwise function in S-Plus. | |
| Discrete4 | Discrete with four levels color dataset. | |
| combineLimits.trellisvector | Combine limits on a one-dimensional trellis object. | |
| diagQQ | QQ plot of regression residuals. | |
| datasets | Datasets for Statistical Analysis and Data Display, Heiberger and Holland | |
| do.formula.trellis.xysplom | Interprets model formulas for xysplom and extended bwplots | |
| pdiscunif | Discrete Uniform Distribution | |
| grid.yaxis.hh | make x- and y-axis labels | |
| F.curve | plot a chisquare or a F-curve. | |
| extra | ||
| export.eps | Exports a graph to an EPS file. | |
| HH.regsubsets | Display tabular results for Best Subsets Regression. | |
| emptyMainLeftAxisLeftStripBottomLegend | Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items. | |
| GSremove | Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet | |
| gof.calculation | Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus. | |
| dchisq.intermediate | Intermediate f and chisq functions to simplify writing for both R and S-Plus. | |
| glhtWithMCP.993 | Retain averaging behavior that was previously available in glht. | |
| hovBF | Homogeneity of Variance: Brown--Forsyth method | |
| if.R | Conditional Execution for R or S-Plus | |
| defunct | Defunct Functions in Package 'HH' | |
| HH-package | Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland | |
| HHscriptnames | Find absolute pathname of a script file for the HH book in the HH package. | |
| interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| interaction.positioned | interaction method for positioned factors. | |
| hov | Homogeneity of Variance | |
| hh | Resolve filenames relative to the HH directory. | |
| hhpdf | R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex | |
| interval | Prediction and Confidence Intervals for glm Objects | |
| intxplot | Interaction plot, with an option to print standard error bars. | |
| likertMosaic | Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style. | |
| lm.case | case statistics for regression analysis | |
| LikertPercentCountColumns | Display likert plots with percents in the first column of panels and counts in the second column of panels. | |
| lm.regsubsets | Evaluate lm model with highest adjusted $R^2$. | |
| legendGrob2wt | place separate keys to the left of each row of a trellis | |
| ladder | Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. | |
| likertColor | Selection of colors for Likert plots. | |
| latticeresids | Subroutine used by residual.plots.lattice | |
| logit | Logistic and odds functions and their inverses. | |
| mmcAspect | Control aspect ratio in MMC plots to maintain isomeans grid as a square. | |
| mmc.mean | MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design. | |
| mmcisomeans | Functions used by mmcplot. | |
| mmc | MMC (Mean--mean Multiple Comparisons) plots. | |
| lmplot | Four types of residual plots for linear models. | |
| lmatRows | Find the row numbers in the lmat corresponding to the focus factor. | |
| lmatPairwise | lmatPairwise | |
| mcalinfct | MCA multiple comparisons analysis (pairwise) | |
| matrix.trellis | Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work. | |
| NTplot | Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial. | |
| NormalAndTplot | Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals. | |
| partial.corr | partial correlations | |
| 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. | |
| orthog.complete | Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns. | |
| perspPlane | Helper functions for regr2.plot | |
| normalApproxBinomial | Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals. | |
| panel.likert | Panel functions for likert that include a stackWidth argument | |
| panel.isomeans | isomeans grid for MMC plots. | |
| npar.arma | Count the number of parameters in an ARIMA model specification. | |
| positioned-class | Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor. | |
| print.latticeresids | Print a latticeresids object. | |
| 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. | |
| residual.plots | Residual plots for a linear model. | |
| panel.acf | Panel functions for tsdiagplot. | |
| panel.axis.right | Right-justify right-axis tick labels. | |
| panel.interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| panel.dotplot.tb | Dotplot with evenly spaced tiebreakers. | |
| plot.mmc.multicomp | MMC (Mean--mean Multiple Comparisons) plot. | |
| plot.hov | Homogeneity of Variance Plot | |
| regr1.plot | plot x and y, with optional straight line fit and display of squared residuals | |
| regr2.plot | 3D plot of z against x and y, with regression plane fit and display of squared residuals. | |
| norm.curve | plot a normal or a t-curve with both x and z axes. | |
| objip | loop through all attached directories looking for pattern, possibly restricting to specified class or mode. | |
| NormalAndTPower | Construct a power graph based on the NTplot. | |
| 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. | |
| OddsRatio | Calculate or plot the odds ratio for a 2x2 table of counts. | |
| rbind.trellis | Extend matrix reshaping functions to trellis objects. | |
| pyramidLikert | Print a Likert plot as a Population Triangle | |
| strip.xysplom | strip function that is able to place the correlation or regression coefficient into the strip label. | |
| tsdiagplot | Times series diagnostic plots for a structured set of ARIMA models. | |
| ResizeEtc | Display multiple independent trellis objects on the same coordinated scale. | |
| 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 | |
| X.residuals | Residuals from the regression of each column of a data.frame against all the other columns. | |
| 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. | |
| mmcPruneIsomeans | MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor. | |
| mmcplot | MMC (Mean-mean Multiple Comparisons) plots in lattice. | |
| print.NormalAndTplot | Print method for Normal and t plots from NTplot. | |
| panel.ci.plot | Default Panel Function for ci.plot | |
| 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.confintMMC | Confidence interval panel for MMC tiebreaker plots, or confidence interval plot. | |
| summary.arma.loop | summary and print and subscript methods for tsdiagplot and related objects. | |
| print.tsdiagplot | Print a "tsdiagplot" object. | |
| tsacfplots | Coordinated time series and ACF and PCF plots. | |
| ResizeEtc.likertPlot | Display multiple independent trellis objects, representing likert plots, on the same coordinated scale. | |
| plot.multicomp | Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. | |
| seqplot.forecast | seqplot with confidence bands for the forecast region. | |
| xysplom | scatterplot matrix with potentially different sets of variables on the rows and columns. | |
| panel.bwplot.intermediate.hh | Panel functions for bwplot. | |
| multicomp.reverse | Force all comparisons in a "multicomp" object to have the same sign. | |
| multicomp.order | Update a multicomp object by ordering its contrasts. | |
| panel.pairs.hh | Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments. | |
| panel.bwplot.superpose | Panel function for bwplot that displays an entire box in the colors coded by groups. | |
| panel.xysplom | panel method for xysplom. | |
| print.TwoTrellisColumns | Print two conformable trellis plots in adjacent columns with user control of widths. | |
| push.vp.hh | push and pop a grid viewport, turn clipping off, change scale. | |
| regrresidplot | Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares. | |
| resid.squares | plot squared residuals in inches to match the y-dimension | |
| seqplot | Time series plot. | |
| strip.background0 | Turn off the coloring in the trellis strip labels. Color 0 is the background color. | |
| ancovaplot | Analysis of Covariance Plots | |
| likert | Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. | |
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Details
| Type | Package |
| Date | 2017-01-18 |
| License | GPL (>= 2) |
| NeedsCompilation | no |
| Packaged | 2017-01-18 14:33:41 UTC; rmh |
| Repository | CRAN |
| Date/Publication | 2017-01-18 18:07:11 |
| 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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