[R] unequal number of observations for longitudinal data
Chuck Cleland
ccleland at optonline.net
Sat Jan 27 12:41:05 CET 2007
gallon li wrote:
> Two questions:
>
> 1. How do I replace "NA" with 0?
df.long2$x <- replace(df.long2$x, is.na(df.long2$x), 0)
?replace
> 2. How can I sort the observations by their id instead of by time? (actually
> i can see what you produced is automatically sorted by id; but in my case,
> the output data is sorted by time)
df.long2 <- df.long2[order(df.long2$id),]
or better ...
df.long2 <- df.long2[order(row.names(df.long2)),]
df.long2
id time x
1.1 1 1 0.6375135
1.2 1 2 0.1651258
1.3 1 3 0.0000000
1.4 1 4 0.0000000
1.5 1 5 0.3210223
2.1 2 1 0.9878134
2.2 2 2 0.8909020
2.3 2 3 0.7747615
2.4 2 4 0.3834130
2.5 2 5 0.9853269
3.1 3 1 0.0000000
3.2 3 2 0.3586109
3.3 3 3 0.0000000
3.4 3 4 0.8310539
3.5 3 5 0.0000000
R-FAQ 7.23 How can I sort the rows of a data frame?
http://finzi.psych.upenn.edu/R/doc/manual/R-FAQ.html
> On 1/27/07, Chuck Cleland <ccleland at optonline.net> wrote:
>> gallon li wrote:
>>> i have a large longitudinal data set. The number of observations for
>> each
>>> subject is not the same across the sample. The largest number of a
>> subject
>>> is 5 and the smallest number is 1.
>>>
>>> now i want to make each subject to have the same number of observations
>> by
>>> filling zero, e.g., my original sample is
>>>
>>> id x
>>> 001 10
>>> 001 30
>>> 001 20
>>> 002 10
>>> 002 20
>>> 002 40
>>> 002 80
>>> 002 70
>>> 003 20
>>> 003 40
>>> 004 ......
>>>
>>> now i wish to make the data like
>>>
>>> id x
>>> 001 10
>>> 001 30
>>> 001 20
>>> 001 0
>>> 001 0
>>> 002 10
>>> 002 20
>>> 002 40
>>> 002 80
>>> 002 70
>>> 003 20
>>> 003 40
>>> 003 0
>>> 003 0
>>> 003 0
>>> 004 ......
>>>
>>> so that each id has exactly 5 observations. is there a function which
>> can
>>> allow me do this quickly?
>> Filling in with zeros seems like a bad idea, but here is an approach
>> to filling in with NAs. I will leave replacing the NAs with zeros to you.
>>
>> df.long <- data.frame(id = c(1,1,1,2,2,2,2,2,3,3), x = runif(10),
>> time = c(1,2,5,1,2,3,4,5,2,4))
>>
>> df.long
>> id x time
>> 1 1 0.72888215 1
>> 2 1 0.60893548 2
>> 3 1 0.41347690 5
>> 4 2 0.79388248 1
>> 5 2 0.05810054 2
>> 6 2 0.02451654 3
>> 7 2 0.85464775 4
>> 8 2 0.15970365 5
>> 9 3 0.22856183 2
>> 10 3 0.38291471 4
>>
>> df.wide <- reshape(df, idvar = "id", v.names = "x", direction="wide")
>>
>> df.wide
>> id x.1 x.2 x.5 x.3 x.4
>> 1 1 0.6375135 0.1651258 0.3210223 NA NA
>> 4 2 0.9878134 0.8909020 0.9853269 0.7747615 0.3834130
>> 9 3 NA 0.3586109 NA NA 0.8310539
>>
>> df.long2 <- reshape(df.wide, direction="long")
>>
>> df.long2
>> id time x
>> 1.1 1 1 0.6375135
>> 2.1 2 1 0.9878134
>> 3.1 3 1 NA
>> 1.2 1 2 0.1651258
>> 2.2 2 2 0.8909020
>> 3.2 3 2 0.3586109
>> 1.5 1 5 0.3210223
>> 2.5 2 5 0.9853269
>> 3.5 3 5 NA
>> 1.3 1 3 NA
>> 2.3 2 3 0.7747615
>> 3.3 3 3 NA
>> 1.4 1 4 NA
>> 2.4 2 4 0.3834130
>> 3.4 3 4 0.8310539
>>
>> This assumes that your data in the "long" format has a time variable.
>> See the help page for reshape() for more details.
>>
>>> [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> R-help at stat.math.ethz.ch mailing list
>>> 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.
>> --
>> Chuck Cleland, Ph.D.
>> NDRI, Inc.
>> 71 West 23rd Street, 8th floor
>> New York, NY 10010
>> tel: (212) 845-4495 (Tu, Th)
>> tel: (732) 512-0171 (M, W, F)
>> fax: (917) 438-0894
>>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> 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.
>
--
Chuck Cleland, Ph.D.
NDRI, Inc.
71 West 23rd Street, 8th floor
New York, NY 10010
tel: (212) 845-4495 (Tu, Th)
tel: (732) 512-0171 (M, W, F)
fax: (917) 438-0894
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