Hello, I'm new to R with a (probably elementary) question. Suppose I have a dataset called /A/ with /n/ locations, and each location contains within it 3 time series of different variables (all of 100 years length); each time series is of a weather variable (for each location there is a temperature, precipitation, and pressure). For instance, location 1 has a temperature1 time series, a precip1 time series, and a pressure1 time series; location two has a temperature2, precip2, and pressure2 timeseries...That is, there are 100 rows, and (/n/*3)+1 columns. The extra column is the time.
I want to load in this dataset and declare a variable for each time series. The columns are in order of location, so it goes temp1, precip1,pressure1, temp2,... and so forth in increasing column order. There are always 100 rows. Manually, Id have to do: temp1=A[,1] precip1=A[,2] pressure1=A[,3] temp2=A[,4] precip2=A[,5] pressure2=A[,6] temp3=A[,7] and so forth..... Problem is, n is large, so I don't want to repeat this pattern forever. I figure I need a loop both for the variable name (ie.., the variable at a particular location) as well as for what column it reads from. Any help...? -- View this message in context: http://r.789695.n4.nabble.com/Loading-in-Large-Dataset-variables-via-loop-tp4636501.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.