[R] Creating panel data

[Bert Gunter]

Sounds like you would find it worthwhile to read a good Intro R
tutorial  -- like the one that comes shipped with R. Have you done so?
If not, why not? If so, how about the data import/export manual?

I certainly wouldn't guarantee that these will answer all your
questions. They're just places to start BEFORE posting here. Setting
up proper data structures can be tricky (have you considered what form
the functions/packages with which you are going to analyze the data
want?). You might also find it useful to use Hadley Wickham's plyr
and/or reshape2 packages, whose aim is to standardize and simplify
data manipulation tasks. Vignettes/tutorials are available for both.

Cheers,
Bert

On Mon, Jul 23, 2012 at 8:21 AM, Jeff <r at jp.pair.com> wrote:
>
>    I'm new to R.
>    I am trying to create panel data with a slight alteration from a typical
>    dataset.
>    At  present,  I  have  data  on a few hundred people with the dates of
>    occurrences for several events (like marriage and employment). The dates are
>    in year/quarter format, so 68.0 equals the 1st quarter of 1968 and 68.25
>    equals the 2nd quarter of 1968. If the event never occurred, 0 is recorded
>    for the Year Of Occurrence. Somewhat redundantly, I also have separate
>    dichotomous  variables indicating whether the event ever occurred (0/1
>    format).
>    For example:
>    x <- data.frame( id = c(1,2), Event1Occur = c(1,0), YearOfOccurEvent1 =
>    c(68.25,0), Event2Occur = c(0,1), YearOfOccurEvent2 = c(0,68.5))
>    I need to transform that dataframe so that I have a separate row for each
>    time period (year/quarter) for each person, with variables for whether the
>    event had already occurred during that time period. If the event occurred
>    during an earlier time, it is presumed to still be occurring at later times.
>    E.g., if the person got married in the first quarter of 1968, they are
>    presumed to still be married at all later time periods. I need those time
>    periods marked (0/1).
>    For example:
>    y   <-   data.frame(   id   =   c(   rep  (1,5),  rep  (2,5)),  Year=c
>    (68.0,68.25,68.50,68.75,69.0))
>    y $ Event1 <- c (0,1,1,1,1,0,0,0,0,0)
>    y $ Event2 <- c (0,0,0,0,0,0,0,1,1,1)
>    can someone get me started.
>    Thanks
>    Jeff
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-- 

Bert Gunter
Genentech Nonclinical Biostatistics

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