search for: foreloop

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 snow.dep.mean prcp.sum prcp.mean tmin.min 10 195410 NA NA NA...

...to the size of the dataset (>10 million and change). Any ideas? This is my first time posting to this forum and I am relatively new to R, so please don't flame me to hard. Desperate times call for desperate measures. Thanks. -- View this message in context: http://r.789695.n4.nabble.com/foreloop-aggregating-time-series-data-into-groups-tp3022667p3022667.html Sent from the R help mailing list archive at Nabble.com.

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...