I would like to learn a good way to plot a collection of variables p
(dataframe columns) into a grid rather than writing out each variable into the grid.arrange function.
p <- c()
for (i in 1:length(names(df)) - 1){
p[i] <- qplot(df[i])
}
grid.arrange(p, ncol = 5)
I want a method for: grid.arrange(p[1], p[2], ..., p[n]
) to plot each graph in a grid.
pl = replicate(5, ggplot(), simplify = FALSE)
grid.arrange(grobs = pl)
Note that your strategy could use a few improvements:
p
would be better with p = vector(length = ncol(df)-1, mode="list")
p[[i]] <-
not p[i] <-
1:3 - 1
produces 0 1 2
, and 0
isn't a valid index reshape2::melt()
or tidyr::gather()
and alternatives, so that you can avoid an awkward loop over column names
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