ggplot2 boxplot help
Please use dput() to supply sample data.
I think this does something like what you want.
####===================================================###
ibrary(ggplot2)
library(reshape2)
dat1<-read.table(text="
sample_1 sample_2 value_1 value_2
N C 1.9268400 36.77590
N C 0.1817890 5.58835
N C 0.2309000 7.54035
N C 0.0294559 1.50886
N C 0.4678610 14.75560
N C 10.7258000 92.13150",
sep="",header=TRUE)
bb <- melt(dat1)
p <- ggplot(bb , aes(variable, value, fill =as.factor(value ) )) +
geom_bar(stat= "identity", position = "dodge") +
scale_fill_discrete(name = "Fancy Title") +
scale_x_discrete(breaks=c("value_1", "value_2"), labels=c("Sample 1", "Sample 2"))
p
##========================================================##
John Kane
Kingston ON Canada
-----Original Message-----
From: alexpadron1082 at gmail.com
Sent: Sat, 4 Aug 2012 14:21:49 -0700 (PDT)
To: r-help at r-project.org
Subject: [R] ggplot2 boxplot help
Hello,
I have a data set that looks like this:
name G-ID test_id g-id g
1 00077464 C_068131 C_068131 OC_068131 -
2 00051728 C_044461 C_044461 OC_044461 -
3 00058738 C_050343 C_050343 OC_050343 -
4 00059239 C_050649 C_050649 OC_050649 -
5 00001761 C_000909 C_000909 OC_000909 -
6 00005119 C_002752 C_002752 OC_002752 -
locs sample_1 sample_2 value_1
value_2
1 37316550-37317847 N C 1.9268400
36.77590
2 27058468-27060176 N C 0.1817890
5.58835
3 4761739-4763268 N C 0.2309000
7.54035
4 14565311-14567393 N C 0.0294559
1.50886
5 38670994-38675694 N C 0.4678610
14.75560
6 48362804-48380794 N C 10.7258000
92.13150
In this dataset, sample_1 corresponds to value_1 and sample_2 corresponds
to
value_2. How can I graph this in ggplot2's boxplot function? I am not
quite
sure how to tell R that sample_1 and sample_2 columns correspond to
value_1
and value_2 using ggplot2.
Can anyone shed some light on this?
Thanks.
--
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