Hi,
You could try:
dat1<- read.table(text="
a??? b??? c??? d
TRUE? TRUE? TRUE? TRUE
FALSE FALSE FALSE TRUE
FALSE? TRUE? FALSE? FALSE
",sep="",header=TRUE)
dat2<-dat1
?dat2[]<-t(apply(1*!dat1,1,function(x) unlist(lapply(split(x,cumsum(c(0,abs(diff(x))))),cumsum))))
?dat2
#? a b c d
#1 0 0 0 0
#2 1 2 3 0
#3 1 0 1 2
A.K.
----- Original Message -----
From: Camilo Mora <cmora at dal.ca>
To: r-help at r-project.org
Cc:
Sent: Wednesday, March 27, 2013 4:31 AM
Subject: [R] conditional Dataframe filling
Hi everyone:
This may be trivial but I just have not been able to figure it out.
Imagine the following dataframe:
a? ? b? ? c? ? d
TRUE? TRUE? TRUE? TRUE
FALSE FALSE FALSE TRUE
FALSE? TRUE? FALSE? FALSE
I would like to create a new dataframe, in which TRUE gets 0 but if false then add 1 to the cell to the left. So the results for the example above should be something like:
a? ? b? ? c? ? d
0? ? 0? ? 0? ? 0
1? ? 2? ? 3? ? 0
1? ? 0? ? 1? ? 2
I wonder if you may know?.
Thanks,
Camilo
Camilo Mora, Ph.D.
Department of Geography, University of Hawaii
Currently available in Colombia
Phone:? Country code: 57
? ? ? ? Provider code: 313
? ? ? ? Phone 776 2282
? ? ? ? From the USA or Canada you have to dial 011 57 313 776 2282
http://www.soc.hawaii.edu/mora/
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