d <- c("upwd1201", "upwd0502", "upwd0702", "upwd1002", "upwd1102",
"upwd0203", "upwd0503", "upwd0803", "upwd0104", "upwd0704", "upwd0804",
"upwd1204", "upwd0805", "upwd1005", "upwd0106", "dnwd1201", "dnwd0502",
"dnwd0702", "dnwd1002", "dnwd1102", "dnwd1202", "dnwd0103", "dnwd0203",
"dnwd0303", "dnwd0403", "dnwd0503", "dnwd0803", "dnwd0104", "dnwd0704",
"dnwd0804", "dnwd1204", "dnwd0805", "dnwd1005", "dnwd0106", "uppl0502",
"uppl0702", "uppl1002", "uppl1102", "uppl0203", "uppl0503", "uppl0803",
"uppl0104", "uppl0804", "uppl1204", "uppl0805", "uppl1005", "uppl0106",
"dnpl0502", "dnpl0702", "dnpl1002", "dnpl1102", "dnpl1202", "dnpl0103",
"dnpl0203", "dnpl0403", "dnpl0503", "dnpl0803", "dnpl0104", "dnpl0704",
"dnpl0804", "dnpl1204", "dnpl0805", "dnpl1005", "dnpl0106", "uplp1201",
"uplp0502", "uplp0702", "uplp1002", "uplp1102", "uplp0203", "uplp0503",
"uplp0803", "uplp0104", "uplp0704", "uplp0804", "uplp1204", "uplp0805",
"uplp1005", "uplp0106", "dnlp1201", "dnlp0502", "dnlp0702", "dnlp1002",
"dnlp1102", "dnlp1202", "dnlp0103", "dnlp0203", "dnlp0303", "dnlp0403",
"dnlp0503", "dnlp0803", "dnlp0104", "dnlp0704", "dnpt0804", "dnlp1204",
"dnlp0805", "dnlp1005", "dnlp0106", "uprk1201", "uprk0502", "uprk0702",
"uprk1002", "uprk1102", "uprk0203", "uprk0503", "uprk0803", "uprk0104",
"uprk0704", "uprk0804", "uprk1204", "uprk0805", "uprk1005", "uprk0106",
"dnrk0502", "dnrk0702", "dnrk1002", "dnrk1102", "dnrk1202", "dnrk0103",
"dnrk0203", "dnrk0303", "dnrk0403", "dnrk0503", "dnrk0803", "dnrk0104",
"dnrk0704", "dnrk0804", "dnrk1204", "dnrk0805", "dnrk1005", "dnrk0106",
"uprt1201", "uprt0502", "uprt0702", "uprt1002", "uprt1102", "uprt0203",
"uprt0503", "uprt0803", "uprt0104", "uprt0704", "uprt0804", "uprt1204",
"uprt0805", "uprt1005", "uprt0106", "dnrt1201", "dnrt0502", "dnrt0702",
"dnrt1002", "dnrt0403", "dnrt0803", "dnrt0104", "dnpt0704", "dnrt0804",
"dnrt0805", "dnrt1005", "dnrt0106", "upsd1201", "upsd0502", "upsd0702",
"upsd1002", "upsd1102", "upsd0203", "upsd0503", "upsd0803", "upsd0104",
"upsd0704", "upsd0804", "upsd1204", "upsd0805", "upsd1005", "upsd0106",
"dnsd1201", "dnsd0502", "dnsd0702", "dnsd1002", "dnsd1102", "dnsd1202",
"dnsd0103", "dnsd0203", "dnsd0303", "dnsd0403", "dnsd0503", "dnsd0803",
"dnsd0104", "dnsd0704", "dnsd0804", "dnsd1204", "dnsd0805", "dnsd1005",
"dnsd0106")
these are the rownames of a dataframe, and I would like to split them
up into chunks of two letters, two letter, and then the four numbers.
The problem that I am trying to solve is to add the numbers in the
columns (unique counts of species) that correspond to a "whole sample"
:
a whole sample consists of one of "1" all six of "2" for a particular date "3"
1
up= unrestored
down=restored
2
habitat types
sd
rk
rt
pl
lp
wd
3
date - self explanitory
strsplit looks promising, but I don't know what a regular expression
is or how to use it for that matter
--
Stephen Sefick
Research Scientist
Southeastern Natural Sciences Academy
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.
-K. Mullis
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