Displaying 2 results from an estimated 2 matches for "andrewjt".
2011 Aug 14
2
conditional filter resulting in 2 new dataframes
This is what I am starting with:
initial<- matrix(c(1,5,4,8,4,4,8,6,4,2,7,5,4,5,3,2,4,6), nrow=6,
ncol=3,dimnames=list(c("1900","1901","1902","1903","1904","1905"),
c("sample1","sample2","sample3")))
And I need to apply a filter (in this case, any value <5) to give me one
dataframe with only the
2010 Oct 08
1
conditional replacement of contiguous values
Hello,
I need help getting from data$HAVE to data$NEED (see below). This requires
replacing every TRUE in data$HAVE with 4 TRUE(s) in data$NEED.
Any ideas? It seems straight forward but I can't figure it out!
Thanks in advance
HAVE NEED
1 FALSE FALSE
2 FALSE FALSE
3 TRUE TRUE
4 FALSE TRUE
5 FALSE TRUE
6 FALSE TRUE