r - error.bars.by{psych} Multiple variables -


hello stack community,

my question in regards command

error.bars.by() 

from package error.bars.by{psych}.

i familiar how command works:

 error.bars.by(     mydata[3],     mydata[1],     by.var=true,     x.cat=true,     legend=5,     eyes=false,     pch=10,     cex=2,     alpha=.05,     density=10,     ) 

my question whether or not command can handle 2 grouping variables.

if so, how code it?

the data table

   group subgroup  measure 1             1 0.234213 2             1 0.046248 3             1 0.391376 4             2 0.911849 5             2 0.729955 6             2 0.991110 7             2 0.378422 8             3 0.898037 9             3 0.258884 10            3       na 11            3 0.057631 12            3 0.745202 13            3 0.121376 14     b        1 0.385198 15     b        1 0.484399 16     b        1 0.115034 17     b        1 0.073629 18     b        1 0.456150 19     b        2 0.336108 20     b        2 0.845458 21     b        2 0.267494 22     b        3 0.536123 23     b        3 1.331731 24     b        3 0.505114 25     b        3 0.843348 26     b        3 0.827932 27     b        3 0.813351 28     c        1 0.095587 29     c        1 0.158822 30     c        1 0.392376 31     c        1 0.284625 32     c        2 0.898819 33     c        2 0.743428 34     c        2 0.298989 35     c        2 0.423961 36     c        3 0.868351 37     c        3 0.181547 38     c        3 1.146131 39     c        3 0.234941 

try <something like>(tm):

error.bars.by( mydata[[3]], interaction(mydata[[1]], mydata[[other_col_name]]), by.var=true,              x.cat=true, legend=5, eyes=false, pch=10, cex=2, alpha=.05, density=10, ) 

the interaction function creates new single column can used when want "long" version of cross-classification. edit: took out by.var=true since wasn't documented on page function , didn't describe doing.


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