o: Al Piszcz <[EMAIL PROTECTED]>
> Cc: [EMAIL PROTECTED]
> Subject: Re: [R] 1.8.1 behavior change?
>
> On Sat, 22 Nov 2003 15:14:31 -0500 (EST), you wrote:
>
> >
> >I would like to have one handle or reference to
> >'n' matrices. The matrices vary in size.
On Sat, 22 Nov 2003 15:14:31 -0500 (EST), you wrote:
>
>I would like to have one handle or reference to
>'n' matrices. The matrices vary in size.
>All data is floating point.
>The input files have 21 columns and a varying
>number of rows.
>
>I am open to any data structure that will
>support this.
V1 V2 V3
1 19 20 21
2 22 23 24
3 25 26 27
[[4]]
V1 V2 V3
1 28 29 30
2 31 32 33
3 34 35 36
4 37 38 39
> stt[[4]]
V1 V2 V3
1 28 29 30
2 31 32 33
3 34 35 36
4 37 38 39
On Sat, 22 Nov 2003, Patrick
Burns wrote:
> Date: Sat, 22 Nov 2003 21:25:56 +
> From: Patrick Burns <[EMAI
stt <- data.frame()
> stt[1]<-as.matrix(read.table("a"))
Error in "[<-.data.frame"(`*tmp*`, 1, value = as.matrix(read.table("a")))
:
replacement has 3 rows, data has 0
On Sat, 22 Nov 2003, Prof Brian Ripley wrote:
> Date: Sat, 22 Nov 2003 18:41:
e:
> Date: Sat, 22 Nov 2003 18:41:55 + (GMT)
> From: Prof Brian Ripley <[EMAIL PROTECTED]>
> To: Al Piszcz <[EMAIL PROTECTED]>
> Cc: [EMAIL PROTECTED]
> Subject: Re: [R] 1.8.1 behavior change?
>
> On Sat, 22 Nov 2003, Al Piszcz wrote:
>
> > In
>
On Sat, 22 Nov 2003 11:57:32 -0500 (EST), you wrote:
>
>In it creates the following warning/error:
>
>Any advice appreciated.
>
>
> stt <- data.frame()
> # load all datasets into a dataframe
> for (ds in 1:n) {
>stt[ds] <- as.matrix(read.table(fileList[ds]))
> }
I don't know what you are
On Sat, 22 Nov 2003, Al Piszcz wrote:
> In stt
[1] V1
<0 rows> (or 0-length row.names)
so is that what `worked properly' means? (It is also what S+6.1 does, but
I am pretty sure it is not what anyone wanted. Note the number of
columns is wrong, too.)
In 1.7.1 it gave a similar error to 1.8.1
Instt <- data.frame()
> # load all datasets into a dataframe
> for (ds in 1:n) {
+ stt[ds] <- as.matrix(read.table(fileList[ds]))
+ }
Error in "[<-.data.frame"(`*tmp*`, ds, value =
as.matrix(read.table(fileList[ds]))) :
replacement has 358 rows, data has 0
>
