search for: obsmeans

...o 75W. The problem is that I only need the bounds of the plot to be from 33N to 37N and 85W to 75W. The way this is now, if I try to subset the states object, I get a garbled mess of lines. The rest of the code provides what I'm trying to do with the attached data. usamap + geom_point(data=obsmeans,aes(x=lon,y=lat,colour = month_1),size=5) + scale_colour_gradientn(data=obsmeans,colour=rev(rainbow(17)),breaks=seq(5,21,by=1),limits=c(5,21)) Any ideas for how I can fix this map would be appreciated! Adrienne -- Adrienne Wootten Graduate Research Assistant State Climate Office of North Carol...

...to display the labels(Sz) and the y-axis to be the vlaues I am currently using the below (wont work with sample data) which gives me the proportions of the observed versus the predicted in four different graphs in histogram format. panelHist(DataMatrix=t(apply(Hh2000.SnSz, 1, 4)), ObsMeans=proportion(rowSums(LaneCo2000HH.SzWk),4), Bounds=c(0.95, 1.05) ) Also, if there is additional documentation for these operations i would appreciate any insights./ Thanks -- View this message in context: http://www.nabble.com/Creating-a-simple-line-graph-tp2512368...

binequality looks like just the package I need, specifically for obtaining Gini income coefficients for binned data. I have upgraded to the latest version of R, the latest version of RStudio, and updated all packages. Still I have a persistent problem using fitFunc(). To keep things simple, I am testing things using the example code in the binequality manual, page 6 (or, "?fitFunc").