I'm still a rookie to the R world, in a very accelerated class with limited/no guidance. My assignment is to build a custom function that reads in a specific .csv, and take some specific columns out to be analyzed. Could anyone please offer some advice? The "sample code" I was given looks like this:
AnnualLekSurvey=function(data.in,stat.year){
d1=subset(data.in,year==stat.year)
d2=d1[c("year","complex","tot_male")]
attach(d2)}
So when it's complete and I run it, I should be able to say:
AnnualLekSurvey(gsg_lek,2006)
where "gsg_lek" is the name of the file I want to import, and 2006 is the values from the "year" column that I want to subset. "complex" and "tot_male" will be the variable to be analyzed by "year", but I'm not worried about that code right now.
What I'm confused about is; how do I tell R that gsg_lek is a .csv file, and tell it to look in the proper directory for it when I run the custom function?
I saw one other vaguely similar example on here, and they had to use the if() and paste() commands to build the string of the file name - that seems like too much arbitrary work, unless I'm just being lazy...
Any help would be appreciated.
data.inis the full path to your csv file including extension, the first line of your function should bed1 <- read.csv(data.in)or similar. Do not use attach; instead justreturn(d2). What do you mean "too much arbitrary work?"