plot groups in different figures with ggplot2 [duplicate]

Question

Consider the following example:

require(ggplot2)

aa <- data.frame(date = runif(3,1,100),Change = runif(3,1,100))

bb <- data.frame(date = runif(3,1,100),Change = runif(3,1,100))

dd <- rbind(aa,bb)
dd$site <- c("aa","aa","aa","bb","bb","bb")

Is it possible to produce 2 figures in the same document where figure 1 should be those sites that correspond to sites == 'aa' and the second figure should be those sites that correspond to sites == 'bb'?

I have tried to generate the figures within a loop but nothing seems to be plotted in the pdf:

nams <- ("aa","bb")

pdf("plots.pdf",width = 6,height = 6, paper='A4',family = "Times")
for (i in 1:2){
  dd2 <- dd[dd$site == nams[i],]

  ggplot(dd,aes(date,Change)) +
    geom_line()
}
dev.off()

Why not use facets? ggplot(dd, aes(date, Change)) + geom_line() + facet_grid(site~.) — shadow
– shadow, Commented Jan 13, 2015 at 13:29
This is just an example code, my real data has over 200 sites, thus i need different plots, i cant realistically use facets for that. — Emma Tebbs
– Emma Tebbs, Commented Jan 13, 2015 at 13:46
Do you want multiple plots in the same window or a loop to plot each group individually? If the former, look here. — Steven
– Steven, Commented Jan 13, 2015 at 13:56

Sven Hohenstein · Accepted Answer · 2015-01-13 13:30:08Z

1

You have to use print with the plot to output it:

for (i in 1:2){
  dd2 <- dd[dd$site == nams[i],]

  print(ggplot(dd, aes(date, Change)) +
    geom_line()
  )
}

answered Jan 13, 2015 at 13:30

Sven Hohenstein

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