Hello, I am trying to make a data frame from many elements after running a function which creates many elements, some of which may not end up being real elements due to errors or missing data. For example, I have the following three elements p1s, p2s, and p3s. p9s did not generate the same data as there was an error in the function for some reason. I currently have to delete p9s from the data.frame() command to get the data.frame to work. How can I make a data frame by somehow ignoring elements (e.g., p9s) that do not exist, without having to delete each missing element from data.frame()? The below is an example of the code.
> p1s statistic parameter p.value [1,] 3.606518 153 0.0004195377 > p2s statistic parameter p.value [1,] -3.412436 8 0.009190015 > p3s statistic parameter p.value [1,] 1.543685 599 0.1231928 > t(data.frame(t(p1s),t(p2s),t(p3s),t(p9s))) Error in t(p9s) : object 'p9s' not found Thanks, Scott Chamberlain Rice University Houston, TX ______________________________________________ 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.
