[EMAIL PROTECTED] wrote:
Hi all,
I?m working with a dataset with 9 columns and 2000 rows. Each row
represents an individual and one of the columns represents the volume
of that individual (measured in cubic meters). I?d like to select a
sample from this dataset (without considering any
Hi all,
I?m working with a dataset with 9 columns and 2000 rows. Each row represents
an individual and one of the columns represents the volume of that individual
(measured in cubic meters). I?d like to select a sample from this dataset
(without considering any probability of the rows) in which
CM,
maybe
s - which(data.frame$attribute = 100)
is a starting point!?
regards,christian
-Ursprüngliche Nachricht-
Von: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Auftrag von
[EMAIL PROTECTED]
Gesendet: Donnerstag, 4. Dezember 2003 13:18
An: [EMAIL PROTECTED]
Betreff: [R] Selecting
Hallo
I assume you want equal size samples
x-runif(1000)
this construction gives you y to be set if sum(y) 5
while(sum(y-sample(x,10))5) y-sample(x,10)
Cheers
On 4 Dec 2003 at 8:18, [EMAIL PROTECTED] wrote:
Hi all,
I?m working with a dataset with 9 columns and 2000 rows. Each row
[EMAIL PROTECTED] wrote
[that he has a data set with 9 variables (columns) measured on 2000
individuals (rows) and wants a sample] in which the sum of the
volume of the individuals in that sample = 100 cubic m.
Let's suppose that this information is held in d, a data frame, and that
