Is this what you want: It turns out that clusterX was a dataframe -
> sd_all[sd_all$X %in% clusterX$X,]
X mydata.mean.a mydata.mean.x mydata.sd.a mydata.sd.x
mydata.log2.mean.a mydata.log2.mean.x
3 VS_0225 2.00 1.330.170.14
-0.01 -0.59
6
Hi,
sd_all_clusterX<-sd_all[(as.character(clusterX)%in%as.character(sd_all$X)),]
again selects everything from sd_all, whereas
sd_all_clusterX<-sd_all[(as.character(sd_all$X)%in%as.character(ClusterX)),]
results in sd_all_clusterX having 681 entries, what is smaller than the
whole dataset (707 e
Hi
[EMAIL PROTECTED] napsal dne 20.05.2008 11:43:07:
>
>
> sd_all_clusterX<-sd_all[(clusterX%in%sd_all$X),] # not tested
>
> seems to do nothing, all elements of the original dataframe are now
selected
OK you made me to test it. As you do not provided reproducible example I
used some of my
It would help if you would post a reproducible subset of your data. Use
'dput' if including it in the text. All we can do is make a guess since you
have not even include 'str(sd_all)' so we know the structure of your data.
sd_all_clusterX<-sd_all[(as.character(clusterX)%in%as.character(sd_all$X)
sd_all_clusterX<-sd_all[(clusterX%in%sd_all$X),] # not tested
seems to do nothing, all elements of the original dataframe are now selected
Petr Pikal wrote:
>
> Hi
>
> [EMAIL PROTECTED] napsal dne 20.05.2008 10:25:00:
>
>>
>> First of all thank you very much, that helped a lot!
>>
>>
Hi
[EMAIL PROTECTED] napsal dne 20.05.2008 10:25:00:
>
> First of all thank you very much, that helped a lot!
>
> Now I have another related problem, again I want to limit a dataframe on
> certain elements, the dataframe looks like this:
> > colnames(sd_all)
> [1] "X""m
First of all thank you very much, that helped a lot!
Now I have another related problem, again I want to limit a dataframe on
certain elements, the dataframe looks like this:
> colnames(sd_all)
[1] "X""mydata.a"
[3] "mydata.x""mydata.sd.a"
.
.
.
[13] "mydata.mad.
'xx1' is a 'factor' and you have to convert to a character before selecting:
data.xx1<-data[ ,as.character(xx1)]
On Mon, May 19, 2008 at 5:20 AM, SebastianEck <[EMAIL PROTECTED]> wrote:
>
> Hello,
>
> I have a specific problem, I have a large dataframe, and after clustering I
> want to select ce
Hello,
I have a specific problem, I have a large dataframe, and after clustering I
want to select certain colums, the elements of a subcluster.
My dataframe looks like this :
> colnames(data)
[1] "101KF4319097339" "102KF4319101170" "103KF4319047549"
"104KF4319046389"
[5] "105KF4319013260" "
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