Displaying 1 result from an estimated 1 matches for "pos_neg_pool".
2010 Jul 27
4
re-sampling of large sacle data
...0.168225938
-0.166910351 0.022304377 -0.00825924 0.008330689 -0.168225938
-0.166910351 0.022304377 -0.00825924 0.008330689 -0.168225938
per the dataframe above,
step 1: do the following
doit=function(x)c(sum_positive=sum(x[-1][x[-1]>0]),sum_negative=sum(x[-1][x[-1]<0]))
pos_neg_pool<-t(apply(myDF,1,doit))
if not first run then append the data to the pos_neg_pool
step2: reshuffle the data by columns then do step1, this step need to run
10000 times;
output will be 23*10000=230,000 rows.
Can anyone point out how to automate this 10000 runs in R?
Thanks,...