Hi guys,
I need your help.
I would like to select a subset from a dataset.
This is the dimension of the dataset.
> dim(data1)
[1] 72 36 1916
so, it's like.. there are 1916 of 72 * 36 matrix. ==> looks like 72 * (
36*1916 )
**
*1)*
And I would like to select the first 72*36 matrix. This is how I did:
> two=data1[,1:36]
Error in data1[, 1:36] : incorrect number of dimensions
Do you have any idea how I should fix this?
*2) *I thought about another way to deal with this problem.
Firstly, I name the each column variable:
>colnames(data1)=paste('lati',1:36)
and then select:
>one=subset(data1,subset=TRUE, select = lati1:lati36)
but the problem is that, although I tried to select only 36 columns, above
command selects the all columns. (36*1916 =68976)
I think if I can name all the variables at one time, say ,
colnames(data1)=paste('lati',1:68976) ,then it wouldn't have been a problem.
(but obviously, <---this command does not work)
Do you have any idea how to deal with this??
*3)* After all, what I would really like to do is to transpose the data:
The dataset I have above is 72*68976. (hard to export to csv; since max
column# is 18000 something.)
I have to transpose the data.. obviously.
But, the problem is, after I transpose the data and export it to csv, I
can't really see the data.
Besides, I think tranpose thing does not seem work as I want,
>bbb=t(as.matrix(data1))
>write.csv(bbb,"c:/oo.csv")
Please help me,
Thanks.
-Hyo
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