Hi Keith,
You do need to reorganize your data. cor() will work on any number of variables
as long as they are columns in a matrix or data frame.
There are a lot of ways to reorganize data, of various power and complexity.
Here's one simple way:
> library(ecodist)
> WW_Sample_table <- with(WW_Sam
Dear list,
I have 9 repeated measures (measurement variable == 'Delta13C') for
individuals (ID variable == 'Individual_ID'. Each repeated measure is
"indexed" (right term?) by the variable 'FeatherPosition' and given as
c('P1', 'P2', 'P3', 'P4', 'P5', 'P6', 'P7', 'P8', 'P9'). I would like
to calc
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