directlabels (version 2021.1.13)

dlcompare: Direct label comparison plot

Description

Compare several plots and/or label placement methods. This creates a custom grid graphics display based on lattice and/or ggplot2 output. Plots will be on the columns and positioning methods will be on the rows.

Usage

dlcompare(plots, pos.funs, 
    rects = TRUE, row.items = "plots", 
    debug = FALSE)

Arguments

plots

List of ggplot2 or lattice plots. List names will be used to annotate the plot.

pos.funs

List of label placement methods to apply to each plot. List names, or function names if specified as character strings, will be used to annotate the plot.

rects

Draw rectangles around each plot, creating a grid?

row.items

If "plots" then put plots on the rows and method on the columns. Otherwise, do the opposite.

debug

Show debug output?

Examples

# NOT RUN {
library(lattice)
oldopt <- lattice.options(panel.error=NULL)

## Compare two plots of the same data using lattice and ggplot2.
deaths.by.sex <- list(male=mdeaths, female=fdeaths)
deaths.list <- list()
for(sex in names(deaths.by.sex)){
  deaths.ts <- deaths.by.sex[[sex]]
  deaths.list[[sex]] <-
    data.frame(year=as.numeric(time(deaths.ts)),
               sex,
               deaths=as.integer(deaths.ts))
}
deaths <- do.call(rbind, deaths.list)
death.plot.list <-
  list(lattice=xyplot(deaths~year,deaths,groups=sex,type="l"))
if(require(ggplot2)){
  death.plot.list$ggplot2 <- 
    qplot(year,deaths,data=deaths,colour=sex,geom="line")
}

if(names(dev.cur())!="postscript"){##to avoid error on pkg check.
  ## Use some exotic labeling options with different rotation, font
  ## face, family, and alpha transparency.
  exotic <- list("last.points",
                 rot=c(0,180),
                 fontsize=c(10,20),
                 fontface=c("bold","italic"),
                 fontfamily=c("mono","serif"),
                 alpha=c(0.25,1))
  dlcompare(death.plot.list, list(exotic))
}
  
lattice.options(oldopt)

## Compare a legend with direct labels on the same plot.
library(nlme)
if(require(ggplot2)){
  ggrat <- qplot(Time,weight,data=BodyWeight,
                 colour=Rat,geom="line",facets=.~Diet)
  pfuns <- list("legend","direct labels"="last.qp")
  dlcompare(list(ggrat),pfuns,rects=FALSE,row.items="posfuns")
}
# }