HH v3.1-40
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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' | |
| col3x2 | col3x2 color dataset | |
| combineLimits.trellisvector | Combine limits on a one-dimensional trellis object. | |
| extra | ||
| dchisq.intermediate | Intermediate f and chisq functions to simplify writing for both R and S-Plus. | |
| interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| CIplot | Illustration of the meaning of confidence levels. | |
| Discrete4 | Discrete with four levels color dataset. | |
| ancova | Compute and plot oneway analysis of covariance | |
| interval | Prediction and Confidence Intervals for glm Objects | |
| HHscriptnames | Find absolute pathname of a script file for the HH book in the HH package. | |
| ResizeEtc | Display multiple independent trellis objects on the same coordinated scale. | |
| ancova-class | Class "ancova" Analysis of Covariance | |
| NTplot | Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial. | |
| LikertPercentCountColumns | Display likert plots with percents in the first column of panels and counts in the second column of panels. | |
| HH.regsubsets | Display tabular results for Best Subsets Regression. | |
| anovaMean | ANOVA table from the group sample sizes, means, and standard deviations. | |
| logit | Logistic and odds functions and their inverses. | |
| cp.calc | Rearranges and improves the legibility of the output from the stepwise function in S-Plus. | |
| lmatRows | Find the row numbers in the lmat corresponding to the focus factor. | |
| aovSufficient | Analysis of variance from sufficient statistics for groups. | |
| AEdotplot.data.frame | AE (Adverse Events) dotplot of incidence and relative risk, support functions | |
| cplx | Generate a sequence spanning the xlim of a lattice window. | |
| lmplot | Four types of residual plots for linear models. | |
| ancovaplot | Analysis of Covariance Plots | |
| AEdotplot | AE (Adverse Events) dotplot of incidence and relative risk | |
| if.R | Conditional Execution for R or S-Plus | |
| diagplot5new | Transpose of ECDF for centered fitted values and residuals from a linear model. | |
| normalApproxBinomial | Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals. | |
| arima.diag.hh | Repair design error in S-Plus arima.diag | |
| NormalAndTPower | Construct a power graph based on the NTplot. | |
| anova.ancovaplot | ANOVA table for a c("ancovaplot","trellis") object. | |
| matrix.trellis | Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work. | |
| ResizeEtc.likertPlot | Display multiple independent trellis objects, representing likert plots, on the same coordinated scale. | |
| diagQQ | QQ plot of regression residuals. | |
| interaction.positioned | interaction method for positioned factors. | |
| panel.bwplot.superpose | Panel function for bwplot that displays an entire box in the colors coded by groups. | |
| panel.pairs.hh | Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments. | |
| arma.loop | Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. | |
| GSremove | Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet | |
| NormalAndTplot | Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals. | |
| panel.bwplot.intermediate.hh | Panel functions for bwplot. | |
| 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. | |
| lmatPairwise | lmatPairwise | |
| bivariateNormal | Plot the bivariate normal density using wireframe for specified rho. | |
| F.curve | plot a chisquare or a F-curve. | |
| mmc | MMC (Mean--mean Multiple Comparisons) plots. | |
| mcalinfct | MCA multiple comparisons analysis (pairwise) | |
| as.likert | Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. | |
| as.matrix.listOfNamedMatrices | Convert a list of matrices to a single matrix | |
| emptyMainLeftAxisLeftStripBottomLegend | Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items. | |
| axis.i2wt | specialized axis function for interaction2wt. | |
| panel.xysplom | panel method for xysplom. | |
| diag.maybe.null | Returns a value for the diagonal of NA and NULL arguments. | |
| panel.acf | Panel functions for tsdiagplot. | |
| lm.regsubsets | Evaluate lm model with highest adjusted $R^2$. | |
| export.eps | Exports a graph to an EPS file. | |
| intxplot | Interaction plot, with an option to print standard error bars. | |
| pdiscunif | Discrete Uniform Distribution | |
| pyramidLikert | Print a Likert plot as a Population Triangle | |
| datasets | Datasets for Statistical Analysis and Data Display, Heiberger and Holland | |
| panel.axis.right | Right-justify right-axis tick labels. | |
| likertMosaic | Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style. | |
| ci.plot | Plot confidence and prediction intervals for simple linear regression | |
| col.hh | Initializing Trellis Displays | |
| partial.corr | partial correlations | |
| ladder | Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. | |
| rbind.trellis | Extend matrix reshaping functions to trellis objects. | |
| lm.case | case statistics for regression analysis | |
| mmc.mean | MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design. | |
| panel.dotplot.tb | Dotplot with evenly spaced tiebreakers. | |
| perspPlane | Helper functions for regr2.plot | |
| panel.interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| legendGrob2wt | place separate keys to the left of each row of a trellis | |
| latticeresids | Subroutine used by residual.plots.lattice | |
| residVSfitted | Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat | |
| glhtWithMCP.993 | Retain averaging behavior that was previously available in glht. | |
| hov | Homogeneity of Variance | |
| residual.plots | Residual plots for a linear model. | |
| gof.calculation | Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus. | |
| tsacfplots | Coordinated time series and ACF and PCF plots. | |
| tsdiagplot | Times series diagnostic plots for a structured set of ARIMA models. | |
| hovBF | Homogeneity of Variance: Brown--Forsyth method | |
| mmcisomeans | Functions used by mmcplot. | |
| regr2.plot | 3D plot of z against x and y, with regression plane fit and display of squared residuals. | |
| multicomp.reverse | Force all comparisons in a "multicomp" object to have the same sign. | |
| mmcPruneIsomeans | MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor. | |
| regr1.plot | plot x and y, with optional straight line fit and display of squared residuals | |
| grid.yaxis.hh | make x- and y-axis labels | |
| strip.useOuterStrips.first | Functions based on strip.default for use with the useOuterScales function. | |
| mmcAspect | Control aspect ratio in MMC plots to maintain isomeans grid as a square. | |
| norm.curve | plot a normal or a t-curve with both x and z axes. | |
| useOuterStripsT2L1 | Three-factor generalization of latticeExtra::useOuterStrips | |
| panel.confintMMC | Confidence interval panel for MMC tiebreaker plots, or confidence interval plot. | |
| do.formula.trellis.xysplom | Interprets model formulas for xysplom and extended bwplots | |
| 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.xysplom | strip function that is able to place the correlation or regression coefficient into the strip label. | |
| hhpdf | R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex | |
| likert | Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. | |
| panel.ci.plot | Default Panel Function for ci.plot | |
| plot.mmc.multicomp | MMC (Mean--mean Multiple Comparisons) plot. | |
| npar.arma | Count the number of parameters in an ARIMA model specification. | |
| plot.hov | Homogeneity of Variance Plot | |
| mmcplot | MMC (Mean-mean Multiple Comparisons) plots in lattice. | |
| OddsRatio | Calculate or plot the odds ratio for a 2x2 table of counts. | |
| panel.cartesian | trellis panel function, with labeled rows and columns and without strip labels. | |
| likertColor | Selection of colors for Likert plots. | |
| panel.bwplott | Extension to S-Plus trellis to allow transposed plots. | |
| multicomp.order | Update a multicomp object by ordering its contrasts. | |
| regrresidplot | Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares. | |
| objip | loop through all attached directories looking for pattern, possibly restricting to specified class or mode. | |
| orthog.complete | Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns. | |
| panel.isomeans | isomeans grid for MMC plots. | |
| 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. | |
| summary.arma.loop | summary and print and subscript methods for tsdiagplot and related objects. | |
| 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. | |
| 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.tsdiagplot | Print a "tsdiagplot" object. | |
| panel.likert | Panel functions for likert that include a stackWidth argument | |
| seqplot | Time series plot. | |
| push.vp.hh | push and pop a grid viewport, turn clipping off, change scale. | |
| positioned-class | Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor. | |
| 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. | |
| print.TwoTrellisColumns | Print two conformable trellis plots in adjacent columns with user control of widths. | |
| seqplot.forecast | seqplot with confidence bands for the forecast region. | |
| strip.background0 | Turn off the coloring in the trellis strip labels. Color 0 is the background color. | |
| vif | Calculate the Variance Inflation Factor | |
| resid.squares | plot squared residuals in inches to match the y-dimension | |
| print.latticeresids | Print a latticeresids object. | |
| xysplom | scatterplot matrix with potentially different sets of variables on the rows and columns. | |
| HH-package | HH | |
| 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 | |
| as.multicomp | Support functions in R for MMC (mean--mean multiple comparisons) plots. | |
| as.vector.trellis | Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object. | |
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Details
| Type | Package |
| Date | 2020-03-02 |
| License | GPL (>= 2) |
| NeedsCompilation | no |
| Packaged | 2020-03-02 20:30:44 UTC; rmh |
| Repository | CRAN |
| Date/Publication | 2020-03-03 06:40:03 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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