multcompBoxplot: boxplot with multcomp graphics

In multcompView: Visualizations of Paired Comparisons

boxplot with multcomp graphics

Description

Create boxplots with multcompTs and / or multcompLetters

Usage

multcompBoxplot(
  formula,
  data,
  horizontal = TRUE,
  compFn = "TukeyHSD",
  sortFn = "mean",
  decreasing = TRUE,
  plotList = list(boxplot = list(fig = c(0, 0.75, 0, 1)), multcompTs = list(fig = c(0.7,
    0.85, 0, 1)), multcompLetters = list(fig = c(0.87, 0.97, 0.03, 0.98), fontsize = 20,
    fontface = "bold"))
)

Arguments

formula	a two sided formula like "y~z", where both "y" and "z" are columns of the data.frame "data", "y" is numeric, and "z" is a factor. This will be passed as the first argument for both 'boxplot' and 'compFn', and so must work in both contexts. NOTE: Any more complicated formula may produce errors or unanticipated results.
data	A data.frame for evaluating 'formula'.
horizontal	TRUE for horizontal boxplots and vertical multcompTs and / or multcompLetters; FALSE for the opposite.
compFn	a function whose output will serve as the the only non-default input to either 'multcompTs' or 'multcompLetters'. The default "TukeyHSD" actually translates to 'TukeyHSD(aov(formula, data))[[1]][, "p adj"]'.
sortFn	If sortFn is a function or a character string naming a function, it is used to summarize the subset of y corresponding to each level of z into a single number, which will then be used to sort the levels of z according to the argument 'decreasing'. This step is skipped if sortFn is NULL or NA or if it is neither a function nor a character string that might name a function. If sortFn is a character string but a function by that name is not found in the search path, multcompBoxplot stops with, 'Error in do.call(sortFn, list(x = x)) : could not find function ...'.
decreasing	If the levels of z are to be sorted using the output of 'sortFn', this is uses as the 'decreasing' in 'order' to sort the levels of z for plotting.
plotList	A list with names in c("boxplot", "multcompTs", "multcompLetters"). Replicates are allowed. If present, they produce, e.g., multiple "multcompTs" side by side. This can be used to compare the visual effects of different arguments to "plot.multcompTs". Each component of 'plotList' is itself a list of arguments to pass to either "boxplot", "plot.multcompTs" or "plot.multcompLetters". Placement can be controlled via 'fig' arguments passed (indirectly) of the form 'c(x1, x2, y1, y2)'. If(horizontal==TRUE), fig gives the coordinates of the figure region in the display region of the plot device, as described on the par help page; if(horizontal==FALSE), fig[c(3,4,1,2)] gives c(x1, x2, y1, y2) for placement of that portion of the plot.

Details

For formula = y~z, if 'sortFn' is a function or the name of a function, 'multcompBoxplot' starts by applying sortFn to the subsets of y corresponding to each level of z, and then sorting those summaries in increasing or decreasing order, per 'decreasing'. If 'sortFn' is NULL or NA, this sort step is skipped.

'multcompBoxplot' then creates 'boxplot' as specified in 'plotList'. Next, 'compFn' is called to generate comparisons to feed to the functions (multcompTs and / or multcompLetters, whose output is then passed to (plot.multcomp) for plotting. Components of the relevant sublists of 'plotList' are made available to par or (for plot.multcompLetters) to gpar.

Value

This function invisibly returns a list with one component for each component of plotList containing the output of the appropriate "plot.multcomp" call plus the output of "compFn".

Author(s)

Spencer Graves

See Also

boxplot multcompTs multcompLetters plot.multcomp TukeyHSD par gpar

Examples

# Example from help("TukeyHSD")
multcompBoxplot(breaks~tension, data=warpbreaks)
# 'sortFn' can be either a function or a function name
# default order is 'decreasing=TRUE'
multcompBoxplot(breaks~tension, data=warpbreaks,
       sortFn=median, decreasing=FALSE)

##################
library(multcomp)
data(recovery)
# Horizontal boxplots with both
# multcomp Ts and Letters on the right
# Using recovery{multcomp} data set
multcompBoxplot(minutes~blanket, recovery)

# Plotting boxes rather than letters and Ts

multcompBoxplot(minutes~blanket, recovery,
                plotList=list(
                    boxplot=list(fig=c(0, 0.75, 0, 1), las=1,
                        cex.axis=1.5),
                    multcompTs=list(fig=c(0.7, 0.85, 0, 1),
                        type='boxes'),
                    multcompLetters=list(
                        fig=c(0.87, 0.97, 0.03, 0.98),
                        type='boxes') ) )

####################

# Vertical boxplots with both
# multcomp Ts and Letters on the top
multcompBoxplot(minutes~blanket, recovery,
                        horizontal=FALSE)

# Horizontal boxplots with 2 different
# displays of the "Ts" on the left
multcompBoxplot(minutes~blanket, recovery,
  plotList=list(
      boxplot=list(fig=c(0.3, 1, 0, 1)),
      multcompTs=list(fig=c(0, 0.15, 0, 1),
        orientation="reverse"),
      multcompTs=list(fig=c(0.15, 0.3, 0, 1),
        type="boxes", orientation="reverse",
        mar=c(5,2, 4, 0)+.1) ) )

library(MASS)
anorx <-
multcompBoxplot(Postwt~Treat, data=anorexia)

## Not run: 
# Confirm than sortFn=NULL or NA
# leaves the order unchanged
library(multcomp)
data(cholesterol)
cholesterol$trt3 <- with(cholesterol, factor(
  as.character(trt), levels=levels(trt)[c(5:4,1:3)]))
multcompBoxplot(response ~ trt3, cholesterol,
           sortFn=NULL)
multcompBoxplot(response ~ trt3, cholesterol,
           sortFn=NA)

## End(Not run)

multcompView documentation built on May 29, 2024, 12:01 p.m.