I have a data that looks like this:
#d TRUE FALSE Cutoff
4 28198 0 0.1
4 28198 0 0.2
4 28198 0 0.3
4 28198 13 0.4
4 28251 61
Since your data is already in long format and I like ggplot graphics anyway, I'd suggest that path. After reading your data in (note that TRUE
and FALSE
are not valid names, so R appended a .
to the column names), the following should work:
require(ggplot2)
ggplot(dat, aes(FALSE., TRUE., colour = as.factor(d), group = as.factor(d))) +
geom_line()
The ggplot2 website is full of good tips. Also note this search query on SO for lots of other good tips on related topics.
And for the record, here's how I'd approach your problem modifying your original code:
colnames(dat)[2:3] <- c("T", "F")
dis <- unique(dat$d)
plot(NA, xlim = c(0, max(dat$F)), ylim = c(0, max(dat$T)))
for (i in seq_along(dis)){
subdat <- subset(dat, d == dis[i])
with(subdat, lines(F,T, col = linecols[i]))
}
legend("bottomright", legend=dis, fill=linecols)