Re: [R] Random sample from a data frame where ID column values don't match the values in an ID column in a second data frame

Okay thanks to your help I figured it out and stuck the code in a function: df.sample.exIDs = function(main.df, sample1.df, n, ID1.name, ID2.name) { main.ID1.notin.ID2 = main.df[!main.df[,ID1.name] %in% sample1.df[,ID2.name],] sample2.df = main.ID1.notin.ID2[sample(nrow(main.ID1.notin.ID2), si

Re: [R] Random sample from a data frame where ID column values don't match the values in an ID column in a second data frame

Okay, here's some sample code: ID = c(1,2,3,"A1",5,6,"A2",8,9,"A3") fakedata = rnorm(10, 5, .5) main.df = data.frame(ID,fakedata) results for my data frame: > main.df ID fakedata 1 1 5.024332 2 2 4.752943 3 3 5.408618 4 A1 5.362838 5 55.158660 6 64.658235 7

Re: [R] Random sample from a data frame where ID column values don't match the values in an ID column in a second data frame

When I use that exact syntax (with the ID variable names in quotes within the square brackets after a comma) it just doesn't work. Also, I'm looking for a random sample, not all possible rows with ID values that don't match the second data frame. -- View this message in context: http://r.789695.

[R] Random sample from a data frame where ID column values don't match the values in an ID column in a second data frame

Hello, Let's say I've drawn a random sample (sample1.df) from a large data frame (main.df), and I want to create a second random sample (sample2.df) where the values in its ID column *are not* in the equivalent ID column in the first sample (sample1.df). How would I go about doing this? In other