worked fine for me (after removing 'data=xx' which may have caused
caused problems since it is supposed to be a dataframe or a list, not
a matrix)
> par(mfrow=c(3,2))
> for(i in 2:7)
+ {
+ boxplot(xx[,i]~xx[,1],xlab="lev")
+ print(i)
+ }
[1] 2
[1] 3
[1] 4
[1] 5
[1] 6
[1] 7
On Mon, Oct 6, 2008 at
Dear R users,
I am new users of this software. I want to make box plot. Here, i have
simulated data set with following commands:
x<-matrix(rnorm(90),nrow=10,ncol=9)
x
a<-matrix(c(1,1,1,1,1,2,2,2,2,2),nrow=10,ncol=1)
xx<-cbind(a,x)
colnames(xx)<-c("a","b","c","d","e","f","g","h","i","j")
rownames
Dear R users,
I am new user of R as well as Biclust package. I am handling data set of (236
genes and 166 conditions) and i knew the importance of Biclustering. Now, I am
able to get some results but can not understand the result as what i am
thinking. My thinking may be wrong.
I used followin
Dear all,
I am student and doing cluster analysis using "pvclust" package. I found
this package very useful. After bootstrapping, i found the edges number
88, 16, 6 have very high standard error. I got this information "seplot"
fuction and "identify ()". Now i am interested to see the name list o
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