I'm not aware of any such package, but I'll assume you are talking about
something else.
Yes sure, it was libray(lattice), and not (trellis) indeed... I wrote the code line in
the email directly after two many hours work... a bit confused. Sorry.
Difficult to guess without access to the
Dear Stephane,
Yes, it worked fine -- a nice plot -- many thanks for your help.
Marwan
---
Marwan Khawaja http://departments.aub.edu.lb/~mk36
---
I have used heatmap to visualize my microarray data. I have a matrix of
M-values. I do the following.
#The distance between the columns.
sampdist - dist(t(matrix[,]), method=euclidean)
sclus - hclust(sampdist, method=average)
#The distance between the rows.
genedist - dist(matrix[,],
Dear all,
I define , for n=5 or any integer greater than 0.
A-array((1/2)^n , c(rep(2,n)))
then for any i not equal to j, and 1=i,j=n,
B-apply(a,c(i,j),sum)
now B is a 2 by 2 matrix, I also define another costant 2 by 2 matrix G,
How can I change the values of each elements of array A,
Replace your line that updates A with this:
p - unique(c(i,j,1:5))
f - function(x) diag( matrix(x,4,4) )
AA - apply( outer(A,G/B), p[-(1:2)], f ) # form product
A - aperm( array( AA, dim(A) ), order(p) ) # reshape
Here are a couple of tests. You might want to do some
more tests yourself as
Johan -
Disclaimer: I've never used heatmap(), so probably I shouldn't
be answering this.
However ... the function heatmap() probably calls either plot()
or image() (regular graphics) or xyplot() (lattice graphics) in
order to set up axes and initialize the actual plotting. heatmap()
Hi all,
I try to convert hclust object to phylo object, using as.phylo (package
ape), but got an error like the following:
tese- read.table (tese_guildas.txt, header=T)
library(mva)
library(ape)
hclust.tree-hclust(dist(tese[1:156,]))
phylo.tree- as.phylo(hclust.tree)
Segmentation fault
I am using an older version of R (1.6.2) to run a Monte Carlo simulation, generating
10,000 samples per 'run'. When I plot histograms I get the expected 'bins' on the
x-axis and the frequency distribution on the y-axis. However when I ask R to plot the
SAME data set with a density curve the
David Tyler wrote (using an e-mail client that doesn't wrap lines):
I am using an older version of R (1.6.2) to run a Monte Carlo
simulation, generating 10,000 samples per 'run'. When I plot
histograms I get the expected 'bins' on the x-axis and the
frequency distribution on the y-axis.
