HH v3.1-42
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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 | |
| LikertPercentCountColumns | Display likert plots with percents in the first column of panels and counts in the second column of panels. | |
| F.curve | plot a chisquare or a F-curve. | |
| HH.regsubsets | Display tabular results for Best Subsets Regression. | |
| GSremove | Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet | |
| defunct | Defunct Functions in Package 'HH' | |
| NormalAndTplot | Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals. | |
| HHscriptnames | Find absolute pathname of a script file for the HH book in the HH package. | |
| ancova-class | Class "ancova" Analysis of Covariance | |
| X.residuals | Residuals from the regression of each column of a data.frame against all the other columns. | |
| ancova | Compute and plot oneway analysis of covariance | |
| as.multicomp | Support functions in R for MMC (mean--mean multiple comparisons) plots. | |
| as.likert | Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. | |
| as.vector.trellis | Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object. | |
| 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. | |
| as.matrix.listOfNamedMatrices | Convert a list of matrices to a single matrix | |
| diagQQ | QQ plot of regression residuals. | |
| ResizeEtc | Display multiple independent trellis objects on the same coordinated scale. | |
| HH-package | HH | |
| col.hh | Initializing Trellis Displays | |
| ResizeEtc.likertPlot | Display multiple independent trellis objects, representing likert plots, on the same coordinated scale. | |
| gof.calculation | Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus. | |
| ci.plot | Plot confidence and prediction intervals for simple linear regression | |
| glhtWithMCP.993 | Retain averaging behavior that was previously available in glht. | |
| anova.ancovaplot | ANOVA table for a c("ancovaplot","trellis") object. | |
| ancovaplot | Analysis of Covariance Plots | |
| anovaMean | ANOVA table from the group sample sizes, means, and standard deviations. | |
| arima.diag.hh | Repair design error in S-Plus arima.diag | |
| datasets | Datasets for Statistical Analysis and Data Display, Heiberger and Holland | |
| cp.calc | Rearranges and improves the legibility of the output from the stepwise function in S-Plus. | |
| 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. | |
| emptyMainLeftAxisLeftStripBottomLegend | Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items. | |
| aovSufficient | Analysis of variance from sufficient statistics for groups. | |
| ae.dotplot | AE (Adverse Events) dotplot of incidence and relative risk | |
| arma.loop | Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. | |
| grid.yaxis.hh | make x- and y-axis labels | |
| export.eps | Exports a graph to an EPS file. | |
| intxplot | Interaction plot, with an option to print standard error bars. | |
| ladder | Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. | |
| diag.maybe.null | Returns a value for the diagonal of NA and NULL arguments. | |
| likert | Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. | |
| if.R | Conditional Execution for R or S-Plus | |
| lmatRows | Find the row numbers in the lmat corresponding to the focus factor. | |
| lmplot | Four types of residual plots for linear models. | |
| mmc.mean | MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design. | |
| interaction.positioned | interaction method for positioned factors. | |
| extra | ||
| mmc | MMC (Mean--mean Multiple Comparisons) plots. | |
| axis.i2wt | specialized axis function for interaction2wt. | |
| panel.acf | Panel functions for tsdiagplot. | |
| mcalinfct | MCA multiple comparisons analysis (pairwise) | |
| bivariateNormal | Plot the bivariate normal density using wireframe for specified rho. | |
| CIplot | Illustration of the meaning of confidence levels. | |
| npar.arma | Count the number of parameters in an ARIMA model specification. | |
| Discrete4 | Discrete with four levels color dataset. | |
| mmcAspect | Control aspect ratio in MMC plots to maintain isomeans grid as a square. | |
| hhpdf | R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex | |
| panel.ci.plot | Default Panel Function for ci.plot | |
| mmcPruneIsomeans | MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor. | |
| objip | loop through all attached directories looking for pattern, possibly restricting to specified class or mode. | |
| AEdotplot | AE (Adverse Events) dotplot of incidence and relative risk | |
| AEdotplot.data.frame | AE (Adverse Events) dotplot of incidence and relative risk, support functions | |
| do.formula.trellis.xysplom | Interprets model formulas for xysplom and extended bwplots | |
| panel.confintMMC | Confidence interval panel for MMC tiebreaker plots, or confidence interval plot. | |
| mmcisomeans | Functions used by mmcplot. | |
| multicomp.reverse | Force all comparisons in a "multicomp" object to have the same sign. | |
| pdiscunif | Discrete Uniform Distribution | |
| lm.case | case statistics for regression analysis | |
| partial.corr | partial correlations | |
| likertMosaic | Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style. | |
| panel.isomeans | isomeans grid for MMC plots. | |
| dchisq.intermediate | Intermediate f and chisq functions to simplify writing for both R and S-Plus. | |
| panel.axis.right | Right-justify right-axis tick labels. | |
| panel.bwplot.intermediate.hh | Panel functions for bwplot. | |
| lm.regsubsets | Evaluate lm model with highest adjusted $R^2$. | |
| norm.curve | plot a normal or a t-curve with both x and z axes. | |
| hov | Homogeneity of Variance | |
| hovBF | Homogeneity of Variance: Brown--Forsyth method | |
| logit | Logistic and odds functions and their inverses. | |
| mmcplot | MMC (Mean-mean Multiple Comparisons) plots in lattice. | |
| panel.likert | Panel functions for likert that include a stackWidth argument | |
| lmatPairwise | lmatPairwise | |
| orthog.complete | Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns. | |
| multicomp.order | Update a multicomp object by ordering its contrasts. | |
| OddsRatio | Calculate or plot the odds ratio for a 2x2 table of counts. | |
| matrix.trellis | Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work. | |
| perspPlane | Helper functions for regr2.plot | |
| pyramidLikert | Print a Likert plot as a Population Triangle | |
| 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. | |
| rbind.trellis | Extend matrix reshaping functions to trellis objects. | |
| print.TwoTrellisColumns | Print two conformable trellis plots in adjacent columns with user control of widths. | |
| panel.cartesian | trellis panel function, with labeled rows and columns and without strip labels. | |
| print.latticeresids | Print a latticeresids object. | |
| panel.bwplott | Extension to S-Plus trellis to allow transposed plots. | |
| seqplot | Time series plot. | |
| combineLimits.trellisvector | Combine limits on a one-dimensional trellis object. | |
| col3x2 | col3x2 color dataset | |
| plot.multicomp | Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. | |
| print.NormalAndTplot | Print method for Normal and t plots from NTplot. | |
| panel.bwplot.superpose | Panel function for bwplot that displays an entire box in the colors coded by groups. | |
| positioned-class | Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor. | |
| 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. | |
| normalApproxBinomial | Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals. | |
| residVSfitted | Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat | |
| interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| residual.plots | Residual plots for a linear model. | |
| vif | Calculate the Variance Inflation Factor | |
| regrresidplot | Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares. | |
| panel.pairs.hh | Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments. | |
| resid.squares | plot squared residuals in inches to match the y-dimension | |
| 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. | |
| summary.arma.loop | summary and print and subscript methods for tsdiagplot and related objects. | |
| interval | Prediction and Confidence Intervals for glm Objects | |
| latticeresids | Subroutine used by residual.plots.lattice | |
| legendGrob2wt | place separate keys to the left of each row of a trellis | |
| panel.dotplot.tb | Dotplot with evenly spaced tiebreakers. | |
| plot.mmc.multicomp | MMC (Mean--mean Multiple Comparisons) plot. | |
| panel.xysplom | panel method for xysplom. | |
| regr2.plot | 3D plot of z against x and y, with regression plane fit and display of squared residuals. | |
| plot.hov | Homogeneity of Variance Plot | |
| panel.interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| 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 | |
| seqplot.forecast | seqplot with confidence bands for the forecast region. | |
| print.tsdiagplot | Print a "tsdiagplot" object. | |
| strip.background0 | Turn off the coloring in the trellis strip labels. Color 0 is the background color. | |
| 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 | |
| strip.useOuterStrips.first | Functions based on strip.default for use with the useOuterScales function. | |
| xysplom | scatterplot matrix with potentially different sets of variables on the rows and columns. | |
| strip.xysplom | strip function that is able to place the correlation or regression coefficient into the strip label. | |
| useOuterStripsT2L1 | Three-factor generalization of latticeExtra::useOuterStrips | |
| tsacfplots | Coordinated time series and ACF and PCF plots. | |
| tsdiagplot | Times series diagnostic plots for a structured set of ARIMA models. | |
| NTplot | Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial. | |
| likertColor | Selection of colors for Likert plots. | |
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Details
| Type | Package |
| Date | 2020-09-07 |
| License | GPL (>= 2) |
| NeedsCompilation | no |
| Packaged | 2020-09-07 02:53:18 UTC; rmh |
| Repository | CRAN |
| Date/Publication | 2020-09-07 10:20:28 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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