How to select a subset data to do a barplot in ggplot2
Hi:
The simplest way to do it is to modify the input data frame by taking
out the records not having status live or dead and then redefining the
factor in the new data frame to get rid of the removed levels. Calling
your input data frame DF rather than data,
DF <- structure(list(FID = c(1L, 1L, 2L, 2L, 2L, 2L, 6L, 6L, 10L, 10L,
10L, 11L, 11L, 11L, 12L, 17L, 17L, 17L), IID = c(4621L, 4628L,
4631L, 4632L, 4633L, 4634L, 4675L, 4679L, 4716L, 4719L, 4721L,
4726L, 4728L, 4730L, 4732L, 4783L, 4783L, 4784L), STATUS = structure(c(2L,
1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 3L, 2L, 2L, 2L,
2L), .Label = c("dead", "live", "nosperm"), class = "factor")), .Names
= c("FID",
"IID", "STATUS"), class = "data.frame", row.names = c(NA, -18L
))
# The right hand side above came from dput(DF), where DF was created by
# DF <- read.table(textConnection("<your posted data>"), header = TRUE)
# Consider using dput() to represent your data in the future.
# Retain the records with status live or dead only
DF2 <- DF[DF$STATUS %in% c("live", "dead"), ]
# This does not get rid of the original levels...
levels(DF2$STATUS)
# ...so redefine the factor
DF2$STATUS <- factor(DF2$STATUS)
str(DF2)
'data.frame': 16 obs. of 3 variables: $ FID : int 1 1 2 2 2 2 6 6 10 10 ... $ IID : int 4621 4628 4631 4632 4633 4634 4675 4679 4716 4719 ... $ STATUS: Factor w/ 2 levels "dead","live": 2 1 2 2 2 2 2 1 1 2 ... # now plot: # (1) FID numeric ggplot(DF2, aes(x = FID, fill = STATUS)) + geom_bar() # (2) FID factor ggplot(DF2, aes(x = factor(FID), fill = STATUS)) + geom_bar() The second one makes more sense to me, but you may have reasons to prefer the first. Dennis
On Thu, Dec 13, 2012 at 4:38 AM, Yao He <yao.h.1988 at gmail.com> wrote:
FID IID STATUS 1 4621 live 1 4628 dead 2 4631 live 2 4632 live 2 4633 live 2 4634 live 6 4675 live 6 4679 dead 10 4716 dead 10 4719 live 10 4721 dead 11 4726 live 11 4728 nosperm 11 4730 nosperm 12 4732 live 17 4783 live 17 4783 live 17 4784 live