Hi.
I have data which i would want to assess the degree of agreement
between two assays, e.g., to evaluate reproducibility or for
inter-rater reliability. I have used the Pearson product-moment
correlation coefficient. It looks good ranginging between 0.90 to
0.998. Though this looks good. I am
Dear R community
Does anyone know of some methods already programmed up open source in
R for the post hoc methods in anova.
I have some microarray data generated from different drug treatments 8
in particular, and a subset of 90 genes which i would like to
analyseusing the above method.
Thank
when i attempt to use correlation for my data...
xcc - cor(a);
The error i get is as follows
Error in cor(a) : missing observations in cov/cor
In addition: Warning message:
In cor(a) : NAs introduced by coercion
Regards
Paul Murima
__
R-help@r
Try Exporting to a Large pdfpdf(filename.pdf, width=20, height=20)
You can adjust the width and height accordingly
On Wed, Nov 26, 2008 at 4:30 AM, David Winsemius [EMAIL PROTECTED]wrote:
I could not tell from the help file whether rotation of the x labels is
supported in heatmap.2. I did
heatmap.2(m, margins= c(9,9), col = bluered(64), trace=c(none),
breaks=c(seq(-60,0,60/20)), symkey=TRUE, density.info=histogram,
cexRow=1,)
Error in image.default(1:nc, 1:nr, x, xlim = 0.5 + c(0, nc), ylim = 0.5 + :
must have one more break than colour
Hie all.
I am working on scaling my data
(gplots)
zcz- read.table(chitekete.csv, header = T, row.names=1, sep=,);
xcc - cor(zcz);
pdf(SIGA.pdf, height=10,width=9)
heatmap.2(xcc, margins= c(9,9), col = bluered(64), trace=c(none),
breaks=c(seq(-1,1,1/32)), symkey=TRUE, density.info=histogram,
cexRow=1)
I thank you all.
Paul
--
BEST
Paul
unable to figure it out.
Thanks in advance
--
BEST
Paul Murima
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Hi all.
I have alrge microarray dat set that i would like to analyze using
hierarchical clustering. The problem is when i use the command below,
hc- hclust(dist(array), ave)
i get get this feedback...
Error in as.vector(x, mode) :
cannot coerce type 'closure' to vector of type 'any'
Can some
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