search for: probedf

...'m pretty sure that my implementation is not optimal ... I'm creating many linear models and store coefficients, anova p-values ... all I need in different lists which are then finally returned in a list (list of lists). The input is a matrix with 84 rows and >100,000 rows. The routine probeDf below creates a data frame that assigns the 84 rows to the different factors, but not just for one row but for several rows, depending what which(rows == g),] returns, and a new factor ('probe') is generated. This results in a 1344 by 6 data frame. Example data frame returned by probeDf:...