Hi David,
Sorry it sounds vague.
Here is my current code, which gives the distribution of family size
at US county level. You will see on a US map family size distribution
represented by different colors.
Now if i have another variable income, which has 3 categories(<50k,
50k-80k,>80k). How do I show 5x3 categories on the map? I guess I
could always create a third variable to do this. Just wondering maybe
there is a function to do this readily?
Thank you!
Bonnie Yuan
y=data1$size
x11()
hist(y,nclass=15) # histogram of y
fivenum(y)
# specify the cut-off point of y
y.colorBuckets=as.numeric(cut(y, c(1,2, 3,6)))
# legend showing the cut-off points.
legend.txt=c("0-1","1-2","2-3","3-6",">6")
colorsmatched=y.colorBuckets[match(county.fips$fips,fips[,1])]
x11()
map("county", col = colors[colorsmatched], fill = TRUE, resolution = 0)
map("state", col = "white", fill = FALSE, add = TRUE, lty = 1, lwd = 0.2)
title("Family Size")
legend("bottom", legend.txt, horiz = TRUE, fill = colors, cex=0.7)
Quoting David Winsemius <dwinsem...@comcast.net>:
On Dec 7, 2011, at 6:12 PM, bby2...@columbia.edu wrote:
Hi, I just started playing with county FIPS feature in maps package
which allows geospatial visualization of variables on US county
level. Pretty cool.
Got code?
I did some search but couldn't find answer to this question--how
can I map more than 2 variables on US map?
"2 variables" is a bit on the vague side for programming purposes.
For example, you can map by the breakdown of income or family size.
How do you further breakdown based on the values of both variables
and show them on the county FIPS level?
"breakdown" suggests a factor construct. If so, then :
?interaction
But the "show" part of the question remains very vague.
Can't you be a bit more specific? What DO you want?
--
David Winsemius, MD
West Hartford, CT
______________________________________________
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.