On 02.12.2015 06:11, Brant Inman wrote:
I am trying to build a function that can accept variables for a regression. It
would work something like this:
---
# Y = my response variable (e.g. income)
# X = my key predictor variable (e.g. education)
# subY = a subsetting variable for Y (e.g. race)
# subY.val = the value of the subsetting value that I want (e.g. ‘black’)
foo <- function(Y, X, subY, subY.val, dataset){
if(is.na(subY) == F) {
Not sure why this all is needed, but you can insert here:
if(is.character(subY.val) || is.factor(subY.val)) subY.val <-
shQuote(subY.val)
Best,
Uwe Ligges
Y <- paste(Y, ‘[‘, subY, ‘==‘, subY.val, ‘]’)
}
FORMULA <- paste(Y ~ X)
fit <- some.regression.tool(FORMULA, data=dataset)
return(some.data.after.processing)
}
---
If I call this function with, foo(income, education, race, “black”, my.dataset), I
do not get the result that I need because the FORMULA is "income[race==black] ~
education” when what I need is “income[race==‘black’] ~ education”. How do I get
the quotes to stay on ‘black’? Or, is there a better way?
Help appreciated.
--
Brant
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
