Hello The data set I am examining has 7425 observations (rows with unique identifiers) and 46 samples(columns).
I have been trying to generate a dataset that filters out observations that are "negligible" The definition of "negligible" is absolute value less or equal to 1.58. The rule that I would like to adopt to create a new data is: drop rows in which 2 or more observations have absolute values <= 1.58. Since I have unique identifier per row, I have tried to reshape the data so I could create a new variable using an ifelse statement that would flag observations <=1.58 but I am not getting anywhere with this approach I could not come up with an apply function that counts the number of observations for which the absolute values are below the cutoff I've specified. All observations are numerical and I don't have missing values. Thank you in advance for the help, Hind ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
