eptember 17, 2018 2:32 AM
>To: r-help@r-project.org; Liu, Lei ;
>r-help@R-project.org
>Subject: Re: [R] bootstrap sample for clustered data
>
>You are telling us that the ID values in your data set indicate
>clusters. However you went about making that determination in the first
---Original Message-
From: Jeff Newmiller [mailto:jdnew...@dcn.davis.ca.us]
Sent: Monday, September 17, 2018 2:32 AM
To: r-help@r-project.org; Liu, Lei ; r-help@R-project.org
Subject: Re: [R] bootstrap sample for clustered data
You are telling us that the ID values in your data set indicate
You are telling us that the ID values in your data set indicate clusters.
However you went about making that determination in the first place might be an
obvious(?) way to do it again with your bootstrapped sample, ignoring the
cluster assignments you have in place. This is the wrong place to
Hi there,
I posted this message before but there may be some confusion in my previous
post. So here is a clearer version:
I'd like to do a bootstrap sampling for clustered data. Then I will run some
complicated models (say mixed effects models) on the bootstrapped sample. Here
id is the
gt;
> 6 1 0 1.0
>
> 7 1 0 0.9
>
> 1 2 0 0.5
>
> 2 2 0 0.6
>
> 11 3 1 2.2
>
> 12 3 1 3.0
>
> 3 4 1 0.4
>
> 4 4 1 0.3
>
> 13 5 0 0.5
>
> 21 5 0 0.6
>
>
>
> Can you help me with it? Thanks a lot!
>
>
>
> Lei
>
>
, Lei
Cc: R-help
Subject: Re: [R] bootstrap sample for clustered data
I can't make any sense of your post. Id 3 occurs 6 times, and 2 and 5 occur
twice each in your example.. How do you get (1,1,2,2,3,3,4,4,5,5) out of that?
In other words, specify the mapping of old id's to new.
Bert
Bert Gunter
e:
>
>> Sorry for the confusion. I just want to recode the id variable to 1 to 5
>> in the bootstrapped sample. This way I can do e.g., a mixed effects model
>> using the new id as the cluster. Thanks!
>>
>> Lei
>>
>>
>>
>> *From:* Bert Gunter [mai
I can't make any sense of your post. Id 3 occurs 6 times, and 2 and 5 occur
twice each in your example.. How do you get (1,1,2,2,3,3,4,4,5,5) out of
that? In other words, specify the mapping of old id's to new.
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming
Hi there,
I tried to generate bootstrap samples for clustered data. Here is some code I
found in the web to do the work:
id=c(1, 1, 2, 2, 3, 3, 4, 4, 5, 5)
y=c(.5, .6, .4, .3, .4, 1, .9, 1, .5, 2)
x=c(0, 0, 1, 1, 0, 0, 1, 1, 1, 1 )
xx=data.frame(id, x, y)
boot.cluster <- function(x, id){
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