similar to: Why cannot get the expected values in my function

Dear R-users, #### below is my code to randomized x three times. > x=c(6,8,9,11) > plan=NULL > for(i in 1:3){ + set.seed(i) + r<-runif(x) + plan=cbind(plan,r) + } ##### which gave the matrix > plan r r r [1,] 0.2655087 0.1848823 0.1680415 [2,] 0.3721239 0.7023740 0.8075164 [3,] 0.5728534 0.5733263 0.3849424 [4,]

Is there a way to generate identical random samples using R's runif function and SAS's ranuni function? I have assigned the same seed values in both software packages, but the following results show different results. Thanks! R === > set.seed(6) > random <- runif(10) > random [1] 0.6062683 0.9376420 0.2643521 0.3800939 0.8074834 0.9780757 0.9579337 [8] 0.7627319 0.5096485

I am able to split my df into two like so: dataset <- trainset index <- 1:nrow(dataset) testindex <- sample(index, trunc(length(index)*30/100)) trainset <- dataset[-testindex,] testset <- dataset[testindex,-1] So I have the index information, how could I re-combine the data using that back into a single df? I tried what I thought might work, but failed with:

Hello together, i have a data.frame, which i want to filter with numbers in a vector. I have a vector (Top10) with these numbers: [1] 205 302 156 378 235 328 183 375 296 374 and i have a data.frame with a Column (CU_NO) with all my Customer numbers. How can i filter this data.frame, with the Numbers in my vector. this one doens't work:

Dear List, Thanks to those who helped with my enquiry a few days ago. I have a another question on loops, in this case I am trying to print out the row of a data frame if the previous 3 values (daily values) in col5 are in descending order. I have this loop which works, but ask whether this can be done differently (without conventional loop) in R: flag="T" d= 3 # d represents