Hi,
I can't install DESEq2 on my iMac, as follows:
> source("http://bioconductor.org/biocLite.R";)
Bioconductor version 3.1 (BiocInstaller 1.18.4), ?biocLite for help
> biocLite("DESeq2")
BioC_mirror: http://bioconductor.org
Using Bioconductor version 3.1 (BiocInstaller 1.18.4), R version 3.2.2.
I attached the file including the first two rows and please help to make it
the numeric data frame. Hopefully the following command works:
dcm <- rowSums(dat1[,grep("DCM",names(dat1),fixed=T)],na.rm=T)
Thank you very much!
Dawn
On Tue, Jul 14, 2015 at 4:36 PM, Jeff Newmiller
wrot
;,..: 2 1
$ X46SUR : Factor w/ 31 levels "","1","10","11",..: 2 2
$ X52DCM : Factor w/ 49 levels "","1","10","11",..: 13 23
$ X64DCM : Factor w/ 35 levels "","1","10","11&quo
, na.rm = T) :
'x' must be numeric"
Then it didn't work either using as.numeric():
> as.numeric(dat)
Error: (list) object cannot be coerced to type 'double'
Thanks!
Dawn
On Fri, Jul 10, 2015 at 4:35 PM, Dawn wrote:
> Thank you all and sorry for the data m
Thank you all and sorry for the data messing. It has worked!
Best,
Dawn
On Fri, Jul 10, 2015 at 4:15 AM, Jim Lemon wrote:
> Hi Dawn,
> Your data are a bit messed up, but try the following:
>
> colSums(dat[,grep("ABC",names(dat),fixed=TRUE)],na.rm=TRUE)
> colSums(
there some help? Thank you!
Dawn
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Hello,
I am an R novice, and I am using the "partykit" package to create
regression trees. I used the following to generate the trees:
ctree(y~x1+x2+x3+x4,data=my_data,control=ctree_control(testtype =
"Bonferroni", mincriterion = 0.90, minsplit = 12, minbucket = 4,
majority = TRU
Hi,
I am trying to install R on the Unix system. When I type './configure', it
seems many not installed on my computer. The last one is 'configure: error:
No F77 compiler found'.
Can you tell me where I can get these software before installing R?
Thanks!
Dawn
[[alte
I need to determine the length of the longest series of consecutive numbers
(1's to be specific) and the start time of that series. For example, in the
following sample, the first column is "time" and the second column indicates
the presence of the target behavior.
I would like a function that wou
I am relatively new to R, so apologize up front for my long question,
particularly if there is too much or too little information.
I have a large time series data set where each subject's behavior was
originally coded on .25s intervals for 3min task. I am trying to determine
if the findings are di
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