You probably could have saved some time by installing Hmisc and using
rcorr:
---something like:
require(Hmisc)
typecors <- tapply(c.df[ , c("age_obs", "Ht_cm", "BD_mm", "CDA_cm",
"CDB_cm") ], c.df$type, rcorr )
The upper or lower triangle of those results could have populated most
of you
Make the example reproducible. Us dput() or make up data that
illustrates the problem. The nice folks on this list volunteer their
time, so try and make the the help easier to give. And please read
the posting guide if you haven't. commented, minimal, self-contained,
reproducible code... like i
> dear all
I have a data set with three types (Tree, Sapling, Seedling). I have estimated
the correlation values. now i need to bring all the correlation values in a
table like the one i have shown in attached file with R codes.could you please
give me idea on this problem
>
thanking you
MS
dear allI have a data set with three types (Tree, Sapling, Seedling). I have
estimated the correlation values. now i need to bring all the correlation
values in a table like the one i have shown in attached file with R codes.could
you please give me idea on this problem
thanking you
MSNepal
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