On Tue, May 22, 2012 at 12:40 PM, dcoakley wrote:
> Thanks Michael,
>
> This seems to get me half-way towards a solution. However, I am still having
> some difficulty in getting the out.csv exactly as I would like. I should
> probably explain the issue a bit further.
>
> I am reading in a csv file
Thanks Michael,
This seems to get me half-way towards a solution. However, I am still having
some difficulty in getting the out.csv exactly as I would like. I should
probably explain the issue a bit further.
I am reading in a csv file containing a list of 'n' parameters. I have
attached a csv ( h
No CSV came through so I'll just assume you get in a data.frame from
read.csv() that looks something like this
params <- data.frame(mean = c(1,4,7), sd = c(2,2,5))
and you want 10 samples from each. If you're on memory constraints,
you can simply loop over rows and append to a growing CSV.
for(i
This should (hopefully) be a pretty simple task. What I'd like to do is read
in a csv file containing means and standard deviations for a large number of
'n' parameters (up to 2000). The list would be in the following format (see
attached read.csv):
Paramter(1), mean, standard dev.,
Paramter(2), m
4 matches
Mail list logo
