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Sarah Goslee
sarah.goslee at gmail.com
Wed Jan 18 23:01:24 CET 2012
A reproducible example would be really helpful here, but I think what
you want is:
table(NumberOfActionsByUser, NumberOfBidOffer)
On Wed, Jan 18, 2012 at 3:49 PM, caam <shawn.akhter at gmail.com> wrote:
> I am trying to create a frequency distribution and I am a bit confused.
>
> Here are the commands I have entered:
>
>> data <- read.csv(file="40609_sortedfinal.csv",head=TRUE,sep=",")
>> NumberOfActionsByStatus = data$STATUS
>> NumberOfActionsByUser = data$ETS_LOGIN
>> NumberOfBidOffer = data$BID_OFFER
>> NumberOfActionsByUser.freq = table(NumberOfActionsByUser)
>> NumberOfBidOffer.freq = table(NumberOfBidOffer)
>> NumberOfActionsByStatus.freq = table(NumberOfActionsByStatus)
>
>
> After doing that above, I was able to see the freq. distribution of contents
> in each.
>
>> cbind(NumberOfBidOffer.freq)
> NumberOfBidOffer.freq
> Bid 178074
> Offer 179540
>
>> cbind(NumberOfActionsByUser.freq)
> NumberOfActionsByUser.freq
> A 22
> B 2
> C 29028
> D 328054
> E 187
> F 7
> G 2
> H 4
> I 308
>
> ............................
>
> Now, what I am having a problem with is, I want to then output a freq
> distribution that shows out of the 22 actions by A.. how many of those
> actions were BID and how many of those were OFFER.
>
> I would like to do that for each user; ie. A->F
>
> What is the best command to do this?
>
> Any help would be appreciated,
>
> Best,
>
> SA
>
>
--
Sarah Goslee
http://www.functionaldiversity.org
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