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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