Hi
I have a table with four columns and 3 rows. I calculated the average for
each columns as average (A), average (B), average (C) and average (D), then
calculate the relative ratio as average (A)/average (B), and average
(C)/average (D). I would like to know how can I calculate the significance
b
Hi, all
I would like to use R to perform k-means clustering on my data which
included 33 samples measured with ~1000 variables. I have already used
kmeans package for this analysis, and showed that there are 4 clusters in my
data. However, it's really difficult to plot this cluster in 2-D format
HI,All
I am trying to create a heatmap with 24 samples with 15672 varibles, I read
in the table in R, and then made it as a matrix, then try to create the
heatmap using heatmap(x,...)
However, I received the error message as:
> heatmap(t(x))
Error: cannot allocate vector of size 936.8 Mb
R(2925,0
HI,
I am trying to create a heatmap with 24 samples with 15672 varibles, I read
in the table in R, and then made it as a matrix, then try to create the
heatmap using heatmap(x,...)
However, I received the error message as:
> heatmap(t(x))
Error: cannot allocate vector of size 936.8 Mb
R(2925,0xa0
I am trying pairwise t-test with thousands of genes in different sample group
so I am trying some code like:
for (i in 1:length(GENE)){
array[i]<-pairwise.t.test(AGE6TTEST[[GENE[i]]],Lable,p.adj="fdr")
}
I want to put the output in an array list, then I can check them, but seems
I have the pro
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