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@darthsuogles
Last active July 6, 2016 04:48
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Multiple histograms in a grid, each with its own y-axis scale
library(ggplot2)
# First get the Iris histogram
histo_list <- lapply(names(iris)[1:4],
function (colname) qplot(iris[[colname]], geom = "histogram", xlab = colname))
# Add two sets of random normal samples
n <- 100
histo_list[[5]] <- qplot(rnorm(n), geom='histogram', xlab='rand-norm-1')
histo_list[[6]] <- qplot(rnorm(n), geom='histogram', xlab='rand-norm-2')
multiplot <- function(..., plotlist=NULL, file, cols=1, title=NULL, layout=NULL) {
library(grid)
## Make a list from the ... arguments and plotlist
plots <- c(list(...), plotlist)
numPlots = length(plots)
## If layout is NULL, then use 'cols' to determine layout
if (is.null(layout)) {
## Make the panel
## ncol: Number of columns of plots
## nrow: Number of rows needed, calculated from # of cols
layout <- matrix(seq(1, cols * ceiling(numPlots/cols)),
ncol = cols, nrow = ceiling(numPlots/cols))
}
if (numPlots==1) {
print(plots[[1]])
} else {
## Set up the page
grid.newpage()
pos_shift <- 0
if ( is.null(title) ) {
pushViewport(viewport(layout = grid.layout(nrow(layout), ncol(layout))))
} else {
pushViewport(viewport(
layout = grid.layout(1 + nrow(layout), ncol(layout),
heights = unit(c(1, rep(4, nrow(layout))), 'null'))))
grid.text(title, vp = viewport(layout.pos.row = 1, layout.pos.col = 1:ncol(layout)))
pos_shift <- 1
}
## Make each plot, in the correct location
for (i in 1:numPlots) {
## Get the i,j matrix positions of the regions that contain this subplot
matchidx <- as.data.frame(which(layout == i, arr.ind = TRUE))
print(plots[[i]], vp = viewport(layout.pos.row = pos_shift + matchidx$row,
layout.pos.col = matchidx$col))
}
}
}
multiplot(plotlist = histo_list, cols = 2, title = "a grid plot")
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