search for: statepops

...ALASKA 2 3 10.101300 539.00 I would like to adjust "income" by population ("popul") for each state. I can use: statepop<-tapply(fdata$popul,fdata$state,sum), which gives: ALABAMA ALASKA 53590.130 7435.263 I can find the weights: popweight <- statepops/sum(statepops) ALABAMA ALASKA 0.016327564 0.002265338 Is there an efficient way to multiply each entry of "income" by "popweght" conditional on the state? That is, ALABAMA income for year 1 is 9.703193*0.016327564, etc. Thanks, William -- View this message...

I have four files that map populations to appropriate keys: statepop.csv, countypop.csv, zip3.csv, and zip5.csv. I'm using the TIGER/Lines shape files: tl_2009_12_state, tl_2009_12_county tl_2009_12_zcta3, and  tl_2009_12_zcta5. I have carefully followed a number of tutorials and can reproduce those, and can also produce scatter and bubble plots of my data (using long and lat coordinates to