Thanks for all the replies.
The merge solution is what I was groping toward but the factor solution is much
cleaner since I do know in advance what the possible categories are.
François
On Aug 14, 2012, at 2:39 , PIKAL Petr wrote:
> Hi
>
> If your x and y are factors it seems to be easy, jus
Hi
If your x and y are factors it seems to be easy, just add all levels in both.
x.f<-factor(x, levels=1:5)
y.f<-factor(y, levels=1:5)
table(x.f)+table(y.f)
x.f
1 2 3 4 5
1 2 2 2 1
If you just have output from table(x) without possibility to add levels you can
go with merge
> mm <- merge(a
Hello,
My earlier solution has a problem. If you have billions of counts over
~150 categories, it will recreate the full vectors every time you add a
new category, thus causing potential memory issues. Another, much more
complicated, way but using only the tables info is as follows.
twotabl
e-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Francois Pepin
> Sent: Monday, August 13, 2012 1:26 PM
> To: r-help@r-project.org
> Subject: [R] merge counts from table()
>
> Hi everyone,
>
> Is there an easy way to combine
Hello,
This one will do it.
x <- 1:4
y <- 2:5
t1 <- table(x)
t2 <- table(y)
(xy <- c(rep(names(t1), t1), rep(names(t2), t2)))
table(xy)
Hope this helps,
Rui Barradas
Em 13-08-2012 19:25, Francois Pepin escreveu:
Hi everyone,
Is there an easy way to combine the counts from table()?
Let's
Hi everyone,
Is there an easy way to combine the counts from table()?
Let's say that I have:
x<-1:4
y<-2:5
I want to replicate:
table(c(x,y))
using only table(x) and table(y) as input.
The reason is that it's cumbersome to carry all the values around when all I
care about are the counts. The
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