Displaying 5 results from an estimated 5 matches for "ssls".
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2007 Jun 07
3
How to load a big txt file
Dear list,
I need to read a big txt file (around 130Mb; 23800 rows and 49 columns)
for downstream clustering analysis.
I first used "Tumor <- read.table("Tumor.txt",header = TRUE,sep = "\t")"
but it took a long time and failed. However, it had no problem if I just put
data of 3 columns.
Is there any way which can load this big file?
Thanks for any suggestions!
2007 Jun 08
2
How to do clustering
Dear List,
I have another question to bother you about how to do clustering.
My data consists of 49 columns (49 variables) and 238804 rows.
I would like to do hierarchical clustering (unsupervised clustering
and PCA). So far I tried pvclust (www.is.titech.ac.jp/~shimo/prog/*pvclust*
/)
but I always had the problem like for R like "cannot allocate the memory".
I am curious about what
2018 Dec 15
0
Multiple SSL certs in a virtual Domain hosting environment
...}
executable = lmtp -L
unix_listener lmtp {
}
}
protocol lmtp {
info_log_path = /var/log/dovecot-lmtp.log
# use %Ln to strip away the domain part
auth_username_format = %Lu
}
}
End configuration.
Is it possible to listen on a A.B.C.0/24 ?
Anything else to get virtual multiple SSLs to work?
Unique domains on each SSL.
--
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Yahweh, Queen & country!Never Satan President Republic!Beware AntiChrist rising!
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Merry Chr...
2008 Apr 25
1
Help on read in a txt file
Dear list,
Hello! I had a problem of reading in a txt file and need your help.
The txt file, called A, comprises of 592 columns and 34179 rows.
I need to note that for some cells of A , A[i,j], are blank.
I used read.table() and got the warning message:
> A<-read.table(file="A.txt",sep="\t")
Warning message:
In scan(file, what, nmax, sep, dec, quote, skip, nlines,
2007 Sep 15
0
Question about VarSelRF
Dear list members,
I am analyzing Affymentrix gene expression data and would like to
apply the R package, VarSelRF to identifying small sets of genes that could
be used for diagnostic purpose.
Basically, the data matrix is composed of 22277 rows (genes) and 65 columns
(samples).
I did unsupervised clustering using pvclust to get 4 classes. What I would
like to do is
to get unique genes for each