[R] flag records

[Val]

Hi Bert,

I am too old for school.




On Tue, Apr 26, 2022 at 5:41 PM Bert Gunter <bgunter.4567 using gmail.com> wrote:
>
> Sounds like homework. We try not to do homework here. See the posting
> guide linked below for details.  (If not homework, let us know).
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along
> and sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
> On Tue, Apr 26, 2022 at 3:17 PM Val <valkremk using gmail.com> wrote:
> >
> > Hi All,
> >
> > I want to flag a record based on the following condition.
> > The variables  in the sample data are
> > State, name, day, text, ddate
> >
> > Sort the data by State, name, day ddate,
> >
> > Within  State, name, day
> >     assign consecutive number for each row
> >     find the date difference between consecutive rows,
> >     if the difference is less than 50 days and the text string in
> > previous and current rows  are the same then flag the record as X,
> > otherwise Y.
> >
> > Here is  sample data and my attempt,
> >
> > DF<-read.table(text="State name day text ddate
> >   CA A 1 xch 2014/09/16
> >   CA A 2 xck 2015/5/29
> >   CA A 2 xck 2015/6/18
> >   CA A 2 xcm 2015/8/3
> >   CA A 2 xcj 2015/8/26
> >   FL B 3 xcu  2017/7/23
> >   FL B 3 xcl  2017/7/03
> >   FL B 3 xmc  2017/7/26
> >   FL B 3 xca  2017/3/17
> >   FL B 3 xcb  2017/4/8
> >   FL B 4 xhh  2017/3/17
> >   FL B 4 xhh  2017/1/29",header=TRUE)
> >
> >   DF$ddate   <- as.Date (as.Date(DF$ddate),  format="%Y/%m/%d" )
> >   DF3         <- DF[order(DF$State,DF$name,DF$day,xtfrm(DF$ddate)), ]
> >   DF3$C       <- with(DF3, ave(State, name, day, FUN = seq_along))
> >   DF3$diff    <- with(DF3, ave(as.integer(ddate), State, name, day,
> > FUN = function(x) x - x[1]))
> >
> > I stopped here, how do I evaluate the previous and the current rows
> > text string and date difference?
> >
> > Desired result,
> >
> >
> >      State name day text      ddate C diff flag
> > 1     CA    A   1  xch 2014-09-16 1    0     y
> > 2     CA    A   2  xck 2015-05-29 1    0      y
> > 3     CA    A   2  xck 2015-06-18 2   20     x
> > 4     CA    A   2  xcm 2015-08-03 3   66    y
> > 5     CA    A   2  xcj 2015-08-26 4   89      y
> > 9     FL    B   3  xca 2017-03-17 1    0      y
> > 10    FL    B   3  xcb 2017-04-08 2   22    y
> > 7     FL    B   3  xcl 2017-07-03 3   108     y
> > 6     FL    B   3  xcu 2017-07-23 4  128    y
> > 8     FL    B   3  xmc 2017-07-26 5  131   y
> > 12    FL    B   4  xhh 2017-01-29 1    0     y
> > 11    FL    B   4  xhh 2017-03-17 2   47    x
> >
> >
> >
> > Thank you,
> >
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