On Jul 14, 2015, at 4:49 PM, Dawn wrote:
> I attached the file
Well, you may have attached it, but you evidently did not read the posting
guide about which filetypes are accepted by the mailserver.
> including the first two rows and please help to make it
> the numeric data frame. Hopeful
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
wrote:
> Well it i
I used two rows to test the data frame, as follows.
> dat <- read.table("TOV_43_Protein_Clusters_abundance1.tab",
header=TRUE,sep = "\t")
> dat1 <- dat[1:2,]
> str(dat1)
'data.frame':2 obs. of 44 variables:
$ X : Factor w/ 1075762 levels "","POV_Cluster_101",..: 305266
625028
$ X10
Hi,
I used a small set of data (several columns and rows) and it works fine
using the following command:
abc <- rowSums(test[,grep("ABC",names(test),fixed=T)],na.rm=T)
But when I used the real big data table, "Error in rowSums(dat[,
grep("ABC", names(dat), fixed = T)], na.rm = T) :
'x' must be
It seems that Dawn could really benefit from spending some time with
an online R tutorial or two, as she appears not to have much of a clue
about R's basic data structures.
Cheers,
Bert
Bert Gunter
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
Well it is pretty obvious that all of your columns have non-numeric data in
them, but you are the only one who can tell which ones should have been
numeric, and you are also the one who can peruse your data file in a text
editor.
--
I suspect your data frame "dat" has non-numeric data in some of the columns
that have ABC in their names. Any column of a data frame can be numeric or not,
but the data frame as a unit cannot be numeric. If your data file has odd
characters in done of the otherwise-numeric columns, the whole col
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(dat[,grep("XYZ",names(dat),fixed
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(dat[,grep("XYZ",names(dat),fixed=TRUE)],na.rm=TRUE)
I'm assuming that you want to discard the NA values.
Jim
On Fri, Jul 10, 2015 at 6:52 AM, Rui Barradas wrote:
>
Hello,
Please use ?dput to give a data example, like this it's completely
unreadable. If your data.frame is named 'dat' use
dput(head(dat, 30)) # paste the outut of this in your mail
And don't post in html, use plain text only, like the posting guide says.
Rui Barradas
Em 09-07-2015 18:12
Please read the Posting Guide before posting again. Pay particular attention to
the guidance to post using plain text. Also use the dput function to provide
your sample data so we can more accurately start from where you are starting
bad give more targeted answers.
You can use indexing to selec
Hi,
I have a big dataframe as follows
109ABC109XYZ18ABC18XYZ22XYZ23ABC25ABC25XYZ
30ABC31XYZ32ABC32XYZ34DCM34XYZ36ABC36SUR
38DCM38XYZ39DCM39SUR41DCM41SUR42DCM42SUR
46SUR52DCM64ABC64XYZ65ABC
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