Final Project- Functions are returning correctly, but not updating data frame

[dholford]

Hello,

I thought I had most of my functions for Part I of the final project nailed down, but when I went back in today to finalize it didn't seem to be working properly. My functions don't seem to be updating/adding the objects I'm returning in the global environment when I run the function.

For example, in the add_gender() function, when I run the function I get the table I'm expected, but nothing is changing in the global environment. So, when I move to the next function, I can't call the updated data I need.

`add_gender <- function(){

d$first.name <- get_first_name( Full.Name=d$Full.Name )

unique.first.names <- unique( d$first.name )

gen <- gender( unique.first.names )

d <- merge(d, gen, by.x = "first.name", by.y = "name")

d$gender[ is.na(d$gender) ] <- "uncoded" d$gender <- factor( d$gender, levels=c("male","female","uncoded") )

return(d)

}`

Which yields:

But no change to d in the global environment:

I tried adding the data as a specific argument in the function to then reference the data frame, but that still wasn't changing anything.

`add_gender <- function(Data){

Data$first.name <- get_first_name( Full.Name=Data$Full.Name )

unique.first.names <- unique( Data$first.name )

gen <- gender( unique.first.names )

Data <- merge(Data, gen, by.x = "first.name", by.y = "name")

Data$gender[ is.na(Data$gender) ] <- "uncoded" Data$gender <- factor( Data$gender, levels=c("male","female","uncoded") )

return(Data)

}

add_gender(d)`

I feel like it's probably a very simple answer/basic tenant of functions I'm just forgetting. But I went back through the Functions review/overview and I'm still struggling. I understand the scope of the function, but I thought referencing the object in the function would then allow the function to operate on the data in the global environment?

Thanks, Dylan

[dholford]

Again I think I found the answer, or at least part, to my own question. I would simply assign the object to the function. So in the above example:

d <- add_gender(d)

But if this first step is just creating the functions that will be saved in Utils.R, so will those assignments, separate from the functions still work when sourcing the Utils.R in part 2 to make sure the changes actually get passed through each step of the cleaning/wrangling process?

[Dselby86]

You got it.

On Tue, Feb 22, 2022, 11:25 PM dholford @.***> wrote:

Again I think I found the answer, or at least part, to my own question. I would simply assign the object to the function. So in the above example:

d <- add_gender(d)

But if this first step is just creating the functions that will be saved in Utils.R, so will those assignments, separate from the functions still work when sourcing the Utils.R in part 2 to make sure the changes actually get passed through each step of the cleaning/wrangling process?

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[dholford]