I found this code through internet and I have a one doubt about this example,
which is
Here you take a 70% random sample considering all the values but what I want is
if the selected sample contains p1,p2 then I want all records of p1,p2 and also
remaining data in some other data frame...like fo
Thank you everybody, problem solved! :)
David Winsemius wrote:
>
>
> > read.table(textConnection(gsub("\\(|\\)", "", var) )) #from prior
> posting
>V1 V2
> 1 p1 10
> 2 p1 3
> 3 p1 4
> 4 p2 20
> 5 p2 30
> 6 p2 40
> 7 p3 4
> 8 p3 1
> 9 p1 2
>
> > ridxs <- sample(1:nrow(df),floor(0.
> read.table(textConnection(gsub("\\(|\\)", "", var) )) #from prior
posting
V1 V2
1 p1 10
2 p1 3
3 p1 4
4 p2 20
5 p2 30
6 p2 40
7 p3 4
8 p3 1
9 p1 2
> ridxs <- sample(1:nrow(df),floor(0.7*nrow(df)) ) # the 70% sample
row IDs
> df[ridxs,]
V1 V2
5 p2 30
6 p2 40
2 p1 3
7 p3 4
4
Here is one way to do it:
> x <- matrix(1:100,10)
> x
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,]1 11 21 31 41 51 61 71 8191
[2,]2 12 22 32 42 52 62 72 8292
[3,]3 13 23 33 43 53 63 73 8393
[4,]4 14
Hello dear R Users,
I am working on a dataset of 928 Enterprises, of which are observed 12
different characters. I need to randomly sample, without repetition, 70% of
the entreprises, to create a testing set, and let the other 30% of the
enterprises be a validating set (holdout validation, I thin
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