| dlcompare | R Documentation | 
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.
dlcompare(plots, pos.funs, 
    rects = TRUE, row.items = "plots", 
    debug = FALSE)| plots | List of ggplot2 or lattice  | 
| 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  | 
| debug | Show  | 
Toby Dylan Hocking <toby.hocking@r-project.org> [aut, cre] (ORCID: <https://orcid.org/0000-0002-3146-0865>)
## 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()
if(require(lattice)){
  oldopt <- lattice.options(panel.error=NULL)
  death.plot.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(length(death.plot.list) && 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))
}
if(require(lattice))lattice.options(oldopt)
## Compare a legend with direct labels on the same plot.
if(require(ggplot2) && require(nlme)){
  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")
}
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