trinker/wakefield

generating 1000 names with replacement using r_data_frame

Rdub2 opened this issue · 8 comments

Rdub2 commented

May be problem with passing arguments to r_data_frame.

works

x <- data.frame(name(1000, replace = TRUE))

fails, doesn't pass replace = TRUE.

x <- r_data_frame(1000,name,replace = TRUE)
Error in sample.int(length(x), size, replace, prob) :
cannot take a sample larger than the population when 'replace = FALSE'

trinker commented

To use arguments to a variable function you need to use parenthesis as in:

x <- r_data_frame(n =1000,
    name(replace = TRUE)
)
trinker commented

I'm closing this feel free to comment. It would help future posters if you let them know if this solved your issue.

Rdub2 commented

Yes, this solved the single variable issue. Thank you.
However multiple variables do no work with this syntax. Maybe there is a workaround.

x <- data.frame(
name(10000, replace = TRUE),
sex(10000, replace = TRUE)
)

trinker commented

Why do you need replace = TRUE on the sex variable? Also why are you using data.frame?

Rdub2 commented

started with r_data_frame, but I need sampling with replacement. Name per se not needed, but thats the variable in which I originally encountered the problem. I can work around it, it's just not knowing what parameters to use to consistently cast it to a data frame.

#works with N < 1000
r_data_frame(
n = 100,
name,
sex
)

trinker commented

I don't understand. What I showed above works as you want I believe... just add new variables to it as follows:

r_data_frame(
    n = 10000,
    name(replace = TRUE),
    sex
)
Rdub2 commented

OK. That works.
But, then switching back to no replace, how would you could for error in?:

y <- r_data_frame(

  • n = 10000,
  • name(replace = FALSE),
  • sex
  • )
    Error in sample.int(length(x), size, replace, prob) :
    cannot take a sample larger than the population when 'replace = FALSE'

#Works for n<1000

trinker commented

There are only about 1000 names in the vector I select from. If you don't replace and want a sample larger than this it will throw an error. You have two options

  1. use replacement
  2. create your own names function with a vector that contains more names