I am 100% certain that there is an easy way to do this, but after
experimenting off and on for a couple of days, and searching everywhere I
could think of, I haven't been able to find the trick.
I have this piece of code:
...
attach(d)
if (ORDINATE == 'ds')
{ lo <- loess(percent ~ ncms * ds, d, control=loess.control(trace.hat =
'approximate'))
grid <- data.frame(expand.grid(ds=MINVAL:MAXVAL, ncms=MINCMS:MAXCMS))
...
then there several almost-identical "if" statements for different values of
ORDINATE. For example, the next "if" statement starts with:
...
if (ORDINATE == 'dsl')
{ lo <- loess(percent ~ ncms * dsl, d, control=loess.control(trace.hat =
'approximate'))
grid <- data.frame(expand.grid(dsl=MINVAL:MAXVAL, ncms=MINCMS:MAXCMS))
...
This is obviously pretty silly code (although of course it does work).
I imagine that my question is obvious: given that I have a variable,
ORDINATE, whose value is a string, how do I re-write statements such as the
"lo <-" and "grid <-" statements above so that they use ORDINATE instead of
the hard-coded names "ds" and "dsl".
I am almost sure (almost) that it has something to do with "deparse()", but
I couldn't find the right incantation, and the ?deparse() help left my head
swimming.
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