search for: foreloops

I have a set of time-series climate data with missing entries. I need to add rows for these missing entries to this data set. The only way I know to do this is unsing a foreloop, but this won't work on a list. I've tried to convert the list to a data frame, but that won't happen, either. I want to fill rows in this table: > newtest[10:15,] yrmos yearmo snow.sum snow.mean

I have a data set similar to the set below where 1 and 2 indicate test results and 0 indicates time points in between where there are no test results. I would like to allocate the time points leading up to a test result with the value of the test result. What I have: What I want: 1 1 0 1 0 1 0 1 1

I want to organize outputs from several regressions into a handy table. When I try the following, each of my "fit_s" is replaces instead of read. Is there a way to read from the regression summaries that does not require writing separate lines of code for each? -Ben Osborne > fit1<-lm(dBA.spp16$sp2.dBA.ha~dBA.spp16$sp1.dBA.ha) >

Is it possible to give a temporary object a name that varies with each run of a foreloop? For example, I want to fill a matrix every time I run a loop, and I want a new matrix with each run, with an appropriate new name. i.e.: for(i in 1:5){... matrix.i<-some values ...} so that in the end I would have: matrix.1 matrix.2 matrix.3 matrix.4 matrix.5 Thanks, Ben Osborne -- Botany Department