Graph binned data
On Nov 7, 2011, at 12:09 AM, Jeffrey Joh wrote:
I have a table that looks like this:
structure(list(speed = c(3,9,14,8,7,6), result = c(0.697, 0.011,
0.015, 0.012, 0.018, 0.019), house = c(1,
1, 1, 1, 1, 1), date = c(719, 1027, 1027, 1027, 1030, 1030),
id = c("1000", "10000",
"10001", "10002", "10003", "10004")), .Names = c("speed",
"result", "house", "date", "id"), class = "data.frame", row.names =
c("1000",
"10000", "10001", "10002", "10003", "10004"))
I would like to bin the data by speed, 0-4, 5-9, 10-14, 15-20, etc.
?cut
Then I would like to make a graph of speed vs result. The graph should show the average result of each bin,
?tapply ?mean dat$sgrp <- cut(dat$speed, c(0,5,10, 15, 20), include.lowest=TRUE, right=TRUE) plot( tapply(dat$speed, dat$sgrp, mean), xaxt="n", ylim=c(0,20)) axis(1, at= 1:4, labels = levels(dat$sgrp) )
and error bars to represent the standard deviation of the result in each bin. What kind of code can I use to make this?
(This would seem to be pretty basic material. Why don't you do further study of whatever introductory texts you are using.) The CI's can be added with one of the functions in package 'plotrix'.
Jeffrey
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