Hi
You probably will get more answers when you post your question to Crossvalidated
or Stackoverflow as it is more about statistics than about R.
Petr
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of PQuery
> Sent: Wednesday, February 19, 2014 8:20 PM
> To: r-help at r-project.org
> Subject: [R] dependent column(s) in data frame
>
> Dear all,
>
> I have a data frame with a status column and some condition columns. (a
> dput
> of part of it is listed below).
> I would like to know if:
>
> 1) There are more chances to have a "status" of "1"
when more than one
> conditions have the value of "1" ?
>
> 2) The "status" column is depending on any one or a combination
of the
> condition columns
> Say, do I have a status of "1" whenever condition 2 & 3 (or
only
> condition
> 2) are met ?
>
> Do you know what type of analysis one can use to do that ?
>
> Thanks in advance,
> P
>
>
> dput(df)
> structure(list(status = c(0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 0L,
> 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L,
> 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L,
> 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L), cond.1 = c(0L, 0L, 0L, 1L,
> 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L,
> 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L,
> 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L), cond.2 = c(1L,
> 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L,
> 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L,
> 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L,
> 1L), cond.3 = c(0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,
> 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L,
> 0L, 0L, 1L, 0L, 0L, 0L), cond.4 = c(0L, 0L, 0L, 1L, 0L, 1L, 0L,
> 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L,
> 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L,
> 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L), cond.5 = c(0L, 0L,
> 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L,
> 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L,
> 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L
> )), .Names = c("status", "cond.1", "cond.2",
"cond.3", "cond.4",
> "cond.5"), row.names = c(NA, -50L), class =
"data.frame")
>
>
>
> --
> View this message in context: http://r.789695.n4.nabble.com/dependent-
> column-s-in-data-frame-tp4685561.html
> Sent from the R help mailing list archive at Nabble.com.
>
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