plot a chisquare or a F-curve.
HH
Class "ancova" Analysis of Covariance
Defunct Functions in Package 'HH'
Residuals from the regression of each column of a
data.frame against all the other columns.
Analysis of variance from sufficient statistics for groups.
AE (Adverse Events) dotplot of incidence and relative risk
ANOVA table from the group sample sizes, means, and standard deviations.
Discrete with four levels color dataset.
Illustration of the meaning of confidence levels.
AE (Adverse Events) dotplot of incidence and relative risk,
support functions
Compute and plot oneway analysis of covariance
col3x2 color dataset
Display tabular results for Best Subsets Regression.
LikertPercentCountColumns
Display likert plots with percents in the first column of panels
and counts in the second column of panels.
Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals.
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.
combineLimits.trellisvector
Combine limits on a one-dimensional trellis object.
Specify plots to illustrate Normal and t Hypothesis Tests or
Confidence Intervals, including normal approximation to the binomial.
Homogeneity of Variance
Transpose of ECDF for centered fitted values and residuals from a linear model.
Homogeneity of Variance: Brown--Forsyth method
QQ plot of regression residuals.
Loop through a series of ARIMA models and display coordinated
tables and diagnoastic graphs.
Repair design error in S-Plus arima.diag
AE (Adverse Events) dotplot of incidence and relative risk
Analysis of Covariance Plots
Support functions in R for MMC (mean--mean multiple comparisons) plots.
Convert a two-dimensional trellis object into a one-dimensional trellis object.
Change the order of panels in a trellis object.
ANOVA table for a c("ancovaplot","trellis") object.
Datasets for Statistical Analysis and Data Display, Heiberger and
Holland
specialized axis function for interaction2wt.
Returns a value for the diagonal of NA and NULL arguments.
Plot the bivariate normal density using wireframe for specified rho.
Find absolute pathname of a script file for the HH book in the HH
package.
Intermediate f and chisq functions to simplify writing
for both R and S-Plus.
Retain averaging behavior that was previously available in glht.
Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
Conditional Execution for R or S-Plus
Diverging stacked barcharts for Likert, semantic
differential, rating scale data, and population pyramids
based on mosaic as the plotting style.
interaction method for positioned factors.
make x- and y-axis labels
R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex
case statistics for regression analysis
Interaction plot, with an option to print standard error bars.
Display multiple independent trellis objects on the same
coordinated scale.
Draw a "ladder of powers" plot, plotting each of several powers
of y against the same powers of x.
MMC plots in lattice---suppress isomeans grid lines for specified levels
of the factor.
Functions used by mmcplot.
Find the row numbers in the lmat
corresponding to the focus factor.
Evaluate lm model with highest adjusted $R^2$.
Extend matrix reshaping functions to trellis objects.
Construct a power graph based on the NTplot.
Plots to illustrate Normal Approximation to the
Binomial---hypothesis tests or confidence intervals.
Print a Likert plot as a Population Triangle
Rearranges and improves the legibility of the output from
the stepwise function in S-Plus.
Homogeneity of Variance Plot
MMC (Mean--mean Multiple Comparisons) plot.
lmatPairwise
Four types of residual plots for linear models.
Generate a sequence spanning the xlim of a lattice window.
MMC (Mean--mean Multiple Comparisons) plots from the sufficient
statistics for a one-way design.
emptyMainLeftAxisLeftStripBottomLegend
Remove main title, left axis tick labels, left strip, bottom legend
from plot and keep the vertical spacing allocated to those items.
Display multiple independent trellis objects, representing
likert plots, on the same coordinated scale.
MMC (Mean-mean Multiple Comparisons) plots in lattice.
Exports a graph to an EPS file.
MCA multiple comparisons analysis (pairwise)
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
MMC (Mean--mean Multiple Comparisons) plots.
Plot all main effects and twoway interactions in a multifactor design
Dotplot with evenly spaced tiebreakers.
Control aspect ratio in MMC plots to maintain isomeans grid as a square.
Update a multicomp object by ordering its contrasts.
seqplot with confidence bands for the forecast region.
Prediction and Confidence Intervals for glm Objects
Calculate the Variance Inflation Factor
Turn off the coloring in the trellis strip labels. Color 0 is the
background color.
Plot all main effects and twoway interactions in a multifactor design
Panel functions for tsdiagplot.
Plot confidence and prediction intervals for simple linear regression
scatterplot matrix with potentially different sets of variables
on the rows and columns.
Function based on S-Plus panel.pairs to add the subpanel.scales
and panel.cex arguments.
Extension to S-Plus trellis to allow transposed plots.
panel method for xysplom.
trellis panel function, with labeled rows and columns and without
strip labels.
Right-justify right-axis tick labels.
Print two conformable trellis plots in adjacent columns with user
control of widths.
Print a latticeresids
object.
Subroutine used by residual.plots.lattice
Initializing Trellis Displays
place separate keys to the left of each row of a trellis
summary and print and subscript methods for tsdiagplot and related objects.
Coordinated time series and ACF and PCF plots.
Calculates the mean, standard deviation, and number of
observations in each group of a data.frame that has one continuous
variable and two factors.
Times series diagnostic plots for a structured set of
ARIMA models.
Discrete Uniform Distribution
do.formula.trellis.xysplom
Interprets model formulas for xysplom and extended bwplots
Construct an orthogonal matrix which is an arbitrary completion
of the column space of the input set of columns.
Calculate or plot the odds ratio for a 2x2 table of counts.
Count the number of parameters in an ARIMA model specification.
isomeans grid for MMC plots.
Panel functions for likert that include a stackWidth argument
loop through all attached directories looking for pattern,
possibly restricting to specified class or mode.
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.
Multiple comparisons plot that gives independent user control
over the appearance of the significant and not significant comparisons.
Selection of colors for Likert plots.
Draw a plot of y vs x from a linear model object, with residuals
indicated by lines or squares.
Diverging stacked barcharts for Likert, semantic
differential, rating scale data, and population pyramids.
Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat
Class "positioned", extends "ordered" to specify the position
for graphing the levels of a factor.
panel.bwplot.intermediate.hh
Panel functions for bwplot.
Print method for Normal and t plots from NTplot.
plot squared residuals in inches to match the y-dimension
Panel function for bwplot that displays an entire box in the colors coded
by groups.
Logistic and odds functions and their inverses.
Residual plots for a linear model.
strip.useOuterStrips.first
Functions based on strip.default for use with the useOuterScales function.
Convert a one-dimensional trellis object to a two-dimensional trellis object.
This permits combineLimits and useOuterStrips to work.
plot x and y,
with optional straight line fit and display of squared residuals
3D plot of z against x and y,
with regression plane fit and display of squared residuals.
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 function that is able to place the correlation or regression
coefficient into the strip label.
Three-factor generalization of latticeExtra::useOuterStrips
partial correlations
Print a "tsdiagplot" object.
Helper functions for regr2.plot
Confidence interval panel for MMC tiebreaker plots, or confidence
interval plot.
Default Panel Function for ci.plot
Force all comparisons in a "multicomp" object to have the same sign.
plot a normal or a t-curve with both x and z axes.
push and pop a grid viewport, turn clipping off, change scale.
Time series plot.
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.
Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet