I am interested in plotting histograms for the following data
Isoform
Tumor_65_198
Tumor_50_192
Tumor_80_167
Tumor_80_204
Tumor_95_197
Tumor_70_189
Tumor_90_202
Tumor_40_177
Tumor_60_21
Tumor_70_174
Tumor_70_147
Tumor_50_5
ABCC4-2007
1
1
1
6
1
9
10
1
2
0
10
1
ABCC4-2008
5
8
7
5
3
10
5
5
7
3
10
3
ABCC4-2009
0
0
0
0
0
0
0
0
0
0
0
0
ABCC4-2010
0
0
0
0
0
0
0
0
0
0
0
0
ABCC4-2011
0
10
4
3
2
0
2
4
1
4
10
0
ABCC4-2012
0
0
10
0
0
0
0
0
0
0
0
0
ABCC4-2013
7
10
10
10
8
10
10
4
10
0
10
0
ABCG1-0489
1
0
0
1
9
1
6
1
1
0
0
0
ABCG1-0490
0
0
0
0
0
0
0
0
0
0
0
0
ABCG1-0491
2
0
2
3
1
1
2
2
5
2
1
7
Basically 12 different histograms one for each Tumor sample. What is an
easy way to do this?
I was trying to modify the following example code, but I guess I need
some help as I am not very comfortable with R
require(lattice)
sundar.theme <- function() {
par <- col.whitebg()
par$strip.background$col <- rep("#000099", 7)
par$add.text$col <- "#eeeeaa"
par$add.text$font <- 2
par$background$col <- "#ffffff"
par$superpose.line$lty <- rep(1, 7)
par$superpose.line$col[1:2] <- c("#880000", "#008800")
par$superpose.symbol$col[1:2] <- c("#880000", "#008800")
par
}
trellis.par.set(sundar.theme())
print( # necessary if the file is source()'d
histogram( ~ height | voice.part, data = singer,
xlab = "Height (inches)", type = "density",
panel = function(x, ...) {
panel.histogram(x, ...)
panel.mathdensity(dmath = dnorm, col = "black",
args = list(mean=mean(x),sd=sd(x)))
} )
)
Thanks ../Murli
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