Awesome, this is close, couple changes. Below is full data set for 1 person. I want the code to look at the first time it sees a 0 in FF after the transition in Rev. I then want it to test whether bin is also a 0. If and only if this is the first 0 in FF after the transition, and bin = 0, then count the number of elements between the transition in Rev and the 0 in FF.
structure(list(Rev = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), FF = c(1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L), bin = c(NA, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1)), .Names = c("Rev", "FF", "bin"), row.names = c(NA, -125L), class = "data.frame") On Mon, Aug 22, 2011 at 3:57 PM, Jean V Adams <jvad...@usgs.gov> wrote: > > > Re: [R] Counting Elements Conditionally > > Jean V Adams > > to: > > Edward Patzelt > > 08/22/2011 03:53 PM > > > > > [R] Counting Elements Conditionally > > > Edward Patzelt > > > to: > > > r-help > > > 08/22/2011 02:33 PM > > > > > > R - > > > > > > I have 3 variables with data below. Variable "Rev" is a vector that > > changes > > > from 1 to 2, 2 to 3, etc.... Variable "FF" is a binary variable with > > 1's > > > and 0's. Variable "bin" is a different binary variable with 1's and > > 0's. > > > > > > I want to calculate the number of elements: > > > > > > 1. Starting with the first element where Rev switches (i.e. 1 to 2) > > > > > > 2. The number of elements between the transition and the first 0 in > the > > > "FF" vector; *when "bin" is also a 0.* > > > * > > > * > > > 3. I want to do this for each transition in Rev, but ignore all > > elements > > > after calculating #2 until another transition has occurred. > > > > > > > > > structure(list(Rev = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, > > > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, > > > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), FF = c(0L, > > > 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, > > > 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, > > > 1L, 1L, 1L, 0L, 1L, 1L, 1L), bin = c(NA, 1, 1, 1, 1, 1, 1, 1, > > > 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, > > > 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1)), .Names = c("Rev", "FF", "bin" > > > ), row.names = c(NA, -40L), class = "data.frame") > > > > > > > > > -- > > > Edward H. Patzelt > > > Research Assistant ? TRiCAM Lab > > > University of Minnesota ? Psychology/Psychiatry > > > VA Medical Center > > > Office: S355 Elliot Hall - Twin Cities Campus > > > Phone: 612-626-0072 Email: patze...@umn.edu > > > > > > > Try this (I'm assuming your data.frame is called "df": > > > > > > uR <- unique(df$Rev) > > uR0 <- uR*10L > > > > first.Rev <- match(uR, df$Rev) > > first.Rev0 <- match(uR0, df$Rev * 10L + df$FF) > > > > no.elements <- first.Rev0 - first.Rev + 1 > > > > > > This starts with Rev=1 (rather than Rev=2), but you can get rid of that > by > > dropping the first result ... > > > > > > no.elements[-1] > > > > > > Jean > > > > Ooops. Too hasty in my reply. I missed the part about bin also being > zero. Try this instead. > > > uR <- unique(df$Rev) > uR00 <- uR*100L > > first.Rev <- match(uR, df$Rev) > first.Rev00 <- match(uR00, df$Rev * 100L + df$FF * 10L + df$bin) > > no.elements <- first.Rev00 - first.Rev + 1 > > > Jean -- Edward H. Patzelt Research Assistant TRiCAM Lab University of Minnesota Psychology/Psychiatry VA Medical Center Office: S355 Elliot Hall - Twin Cities Campus Phone: 612-626-0072 Email: patze...@umn.edu Please consider the environment before printing this email www.psych.umn.edu/research/tricam [[alternative HTML version deleted]]
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