This must be FAQ, but I can't find it in archives or with a site search.
I am trying to construct a frequency table. I guess this should be done with table. Or perhaps factor and split. Or prop.table. cut? findInterval? Argh!
Please correct me if what I am looking for is not called a "frequency table". Perhaps it's called grouped data.
zz$x9
[1] 65 70 85 65 65 65 62 55 82 59 55 66 74 55 65 56 80 73 45 64 75 58 60 56 60 [26] 65 53 63 72 80 90 95 55 70 79 62 57 65 60 47 61 53 80 75 72 87 52 72 80 85 [51] 75 70 84 60 72 70 76 70 79 72 69 80 62 74 54 58 58 69 81 84
I (think) I want it to look like:
40-49 2 50-59 15 60-69 20 70-79 19 80-89 12 90-99 2
Or the other way around with transpose.
classes = c("40-49", "50-59", "60-69", "70-79", "80-89", "90-99") For the rownames
sum(zz$x9 > 40 & zz$x9 < 50) For getting frequency counts is very laborious...
I got this far:
table(cut(zz$x9, brk))
table(cut(zz$x9, brk, right = FALSE))
should do the trick.
Uwe Ligges
(40,50] (50,60] (60,70] (70,80] (80,90] (90,100] 2 19 21 19 8 1
brk
[1] 40 50 60 70 80 90 100
t(table(cut(zz$x9, brk)))
(40,50] (50,60] (60,70] (70,80] (80,90] (90,100] [1,] 2 19 21 19 8 1
Still feels a million miles off.
Now I could do with a little help please after spending a couple of hours working this out.
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