[R] longitudinal study

[arun]

Hi Bibek,

You can do this in different ways:
set.seed(15)
dat1<-as.data.frame(matrix(sample(c("Yes","No"),20,replace=TRUE),ncol=5),stringsAsFactors=FALSE)
dat1[dat1=="Yes"]<-1
dat1[dat1=="No"]<-0
dat1[]<- sapply(dat1,as.numeric)

 dat1
#  V1 V2 V3 V4 V5
#1  0  1  0  0  1
#2  1  0  0  0  0
#3  0  0  1  0  1
#4  0  1  0  0  0

#or
set.seed(15)
 dat2<-as.data.frame(matrix(sample(c("Yes","No"),20,replace=TRUE),ncol=5),stringsAsFactors=TRUE)
dat2[]<-sapply(dat2,as.numeric)-1
 dat2
#  V1 V2 V3 V4 V5
#1  0  1  0  0  1
#2  1  0  0  0  0
#3  0  0  1  0  1
#4  0  1  0  0  0
 identical(dat1,dat2)
#[1] TRUE


A.K.


----- Original Message -----
From: bibek sharma <mbhpathak at gmail.com>
To: arun <smartpink111 at yahoo.com>
Cc: 
Sent: Monday, February 4, 2013 12:54 PM
Subject: Re: [R] longitudinal study

Dear Arun,

I have a data set with dim 1200 by 56 where the variable has binomial
response ( yes or no). I want to replace all the "yes" by 1 and "no"by
0 in the entire data set. is there any sort cut way of recoding?
Thank in advance for your help.
Bibek


On Fri, Jan 18, 2013 at 11:54 AM, arun <smartpink111 at yahoo.com> wrote:
> Dear Bibek,
>
> No problem.
> Arun
>
>
>
>
> ----- Original Message -----
> From: bibek sharma <mbhpathak at gmail.com>
> To: arun <smartpink111 at yahoo.com>
> Cc:
> Sent: Friday, January 18, 2013 1:56 PM
> Subject: Re: [R] longitudinal study
>
> Arun,
> Thank you friend.
> You helped me a lot.
> I really appreciate it.
> Thanks,
>
>
> On Fri, Jan 18, 2013 at 10:25 AM, arun <smartpink111 at yahoo.com> wrote:
>> Hi,
>>
>> In my reply, I deleted the "na" values.  The reason was that your dataset had both "na" and "Unknown" and the `Desired results` didn't had "na".
>>
>> Arun
>>
>>
>>
>> ----- Original Message -----
>> From: Rich Shepard <rshepard at appl-ecosys.com>
>> To: R help <r-help at r-project.org>
>> Cc:
>> Sent: Friday, January 18, 2013 12:18 PM
>> Subject: Re: [R] longitudinal study
>>
>> On Fri, 18 Jan 2013, bibek sharma wrote:
>>
>>> I have a data set from a longitudinal study ( sample below) where subjects
>>> are followed over time. Second column (status) contains info about if
>>> subject is dead or still in the study and third column is time measured in
>>> the week. Here is what I need: if status is not dead or unknown take the
>>> last week, if status is dead or unknown I need to have corresponding week.
>>>
>>> Desired resulst:
>>>
>>> 1    no    7
>>> 2    yes    5
>>> 3    Unknown    4
>>
>>    Looks like a survival analysis situation. I know there are R packages for
>> this.
>>
>> Rich
>>
>> ______________________________________________
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>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>