I have a simple table, 2 columns and 1994 rows. First row, "Crime" is how
many crimes happen every month per 100000 inhabitants and second row is
"Income" which contains the average income recorded in a city.
here's the head(dataset):
Crime Income
1 356.5152 4285.720
2 734.5625 4114.291
3 541.5171 3542.861
4 292.1667 4057.148
5 219.7747 4457.149
6 308.2538 6114.296
I want to stratify the crime based on income and then box plot each stratum
to compare. Also I need to get the variance of each stratum in a table.
this is the summary of the Income column:
Min. 1st Qu. Median Mean 3rd Qu. Max.
2000 3257 3714 4001 4457 7714
Closer I've been able to get is this:
strata=table(cut(dataset$Income, breaks, right= FALSE))
where breaks is
> breaks
[1] 2000 3500 5000 6500 8000
this gives me as result:
> cbind(strata)
strata
[2e+03,3.5e+03) 805
[3.5e+03,5e+03) 894
[5e+03,6.5e+03) 206
[6.5e+03,8e+03) 89
I'm not even sure if that's the right way to get the strata.
*The important thing here is I need to find a way to get a boxplot of the
Crime values in each stratum and the variance too.
*
Thanks so much in advance.
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