On Sat, 12 May 2012, rmje wrote:
I have a matrix like this
Name 1 2
3 4 5
NM_001039514 1.033557047 0.7469879518 0.9004524887 0.8613861386
0.7952499048
NM_001039723 1.0759493671 1.2315789474 0.8666666667 1.1142857143
0.9428011471
NM_001042605 0.9897435897 0.8870431894 1.1038062284 0.7407407407
0.744530664
NM_001048207 1.0070422535 0.9319727891 0.9015151515 0.8296438884
0.7290217712
I want to plot each row in a single graph and then use multiplot to put them
all together in a single graph.
How do you plot the rows?
Please use dput() to generate R commands to recreate your sample data.
For example, I type "dta <- " and then copy-paste the output of dput(dta):
dta <- structure(list(Name = structure(1:4, .Label = c("NM_001039514",
"NM_001039723", "NM_001042605", "NM_001048207"), class = "factor"),
X1 = c(1.033557047, 1.0759493671, 0.9897435897, 1.0070422535
), X2 = c(0.7469879518, 1.2315789474, 0.8870431894, 0.9319727891
), X3 = c(0.9004524887, 0.8666666667, 1.1038062284, 0.9015151515
), X4 = c(0.8613861386, 1.1142857143, 0.7407407407, 0.8296438884
), X5 = c(0.7952499048, 0.9428011471, 0.744530664, 0.7290217712
)), .Names = c("Name", "X1", "X2", "X3", "X4", "X5"), class =
"data.frame", row.names = c(NA,
-4L))
You have stated that this is a matrix, but it obviously contains text for
row names. The standard output of write.table doesn't put a heading above
row names, so this looks more like a data frame. I don't know how your row
names were set up as numerics... when I used read.table() to pull your
example in, the headings were changed to valid data frame column names by
prepending "X". Your use of dput() would have made all thes questions
irrelevant.
AFAIK all plotting in R assumes data series are vectors or columns, not
rows, so some data structure transformation is needed before your
desired plots can be generated.
There is probably more than one way to skin this cat, but here is one way:
library(reshape2)
library(ggplot2)
dtalong <- melt( dta, "Name" )
dtalong$x <- as.numeric( substring( as.character( dtalong$variable ), 2 ) )
ggplot( dtalong, aes( x=x, y=value ) ) +
geom_point() +
facet_wrap( ~Name, ncol=1 )
If you are not familiar with melt, use ?melt to read the help and
experiment with it, and use the str() function to study dta and dtalong
to see how the data are moved around.
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