HI All:
When I plot a cluster (from hclust(...)) or a dendrogram
(as.dendrogram(hclust()), the node names are partly cut off at the
bottom of the plot.
Is there any way of resizing my cluster plot so that we can see them all?
Thanks in advance.
Karthi.
__
Is there a way I can combine multiple lines of R commands (see below) into
a little code snippet or a program in a text file, and run it in R to do my
analysis?
sink("mysink.txt")
for (..) {
code for creating a dataframe from supplied data
code for doing anova from selected data
}
Thanks very
John Fox
<[EMAIL PROTECTED]To: "Subramanian Karthikeyan"
<[EMAIL PROTECTED]>
&g
ced by "Effect2" and so on (my other column names in the data
frame) for successive anova calculations. So I am storing the column names
as an array, and passing the array as a parameter to the lm() function.
Thanks,
- Forwarded by Subramanian Karthikeyan/HC-S
>From a data frame, how do we extract a specific column name, and plug that
into a command (eg. for Anova as shown below)
> df = read.delim("mydata.txt")
> y = colnames(df)
> r = ncol(x)
Lets say that in the data frame column 1 contains treatments, column 2
contains doses, and columns 3, 4, 5 etc
HI All:
Can anyone give me the formulae/steps for calculating the type III sum of
squares for an unbalanced 2-way ANOVA design? Eg. we are looking at 8
treatments x 4 doses, with unequal numbers of replications within the
groups. I really need the stepwise calculation, as I would try to put it
i
.
"Liaw, Andy"
<[EMAIL PROTECTED] To: "'Subramanian Karthikeyan'"
<[EMAIL PROTECTED]>
<[EMAIL PROTECTED]To: "Subramanian Karthikeyan"
<[EMAIL PROTECTED]>
th.ethz.ch> cc:
Hi All:
I am clustering 500 genes using hclust of R. Visualizing cluster
membership becomes difficult with so many genes in each cluster...Is there
a way of printing the dendrogram in multiple pages so that I can clearly
see what is in each cluster?
Thanks in advance.
Karthi.
_
