Skip to content

diffs produces a data.frame with list columns #367

Description

@jonocarroll

I am using comparedf to compare two versions of a data.frame containing dates, and want to summarise the change ("value was x, now is y"). diffs.comparedf creates list-columns for values.x and values.y which don't behave nicely.

As a worked example, consider a data.frame with vector columns

dates <- as.Date(c("2024-01-01", "2024-01-02"))

df_veccols <- data.frame(num = 1:2, date = I(dates))
df_veccols
#>   num       date
#> 1   1 2024-01-01
#> 2   2 2024-01-02
str(df_veccols)
#> 'data.frame':    2 obs. of  2 variables:
#>  $ num : int  1 2
#>  $ date: AsIs, format: "2024-01-01" "2024-01-02"

paste(df_veccols$num, df_veccols$date, sep = ": ")
#> [1] "1: 2024-01-01" "2: 2024-01-02"

However, this internal function

tolist <- function(df)
{
df$values.x <- I(as.list(df$values.x)) # need the I() for factors and dates to show up right
df$values.y <- I(as.list(df$values.y))
df
}

creates a version with list columns, like this

df_listcols <- data.frame(num = 1:2, date = I(as.list(dates)))
df_listcols
#>   num       date
#> 1   1 2024-01-01
#> 2   2 2024-01-02
str(df_listcols)
#> 'data.frame':    2 obs. of  2 variables:
#>  $ num : int  1 2
#>  $ date:List of 2
#>   ..$ : Date, format: "2024-01-01"
#>   ..$ : Date, format: "2024-01-02"
#>   ..- attr(*, "class")= chr "AsIs"

paste(df_listcols$num, df_listcols$date, sep = ": ")
#> [1] "1: 19723" "2: 19724"

I believe the core incompatibility is with

as.character(I(as.list(dates[1])))
#> [1] "19723"

# vs

as.character(I(dates[1]))
#> [1] "2024-01-01"

df_listcols$date
#> [[1]]
#> [1] "2024-01-01"
#> 
#> [[2]]
#> [1] "2024-01-02"

unlist(df_listcols$date)
#> [1] 19723 19724

In arsenal, this is

df1 <- data.frame(num = 1:2, dates = dates)
df2 <- data.frame(num = 1:2, dates = dates + c(0, 1))

diffs <- arsenal::diffs(arsenal::comparedf(df1, df2))
diffs
#>   var.x var.y ..row.names..   values.x   values.y row.x row.y
#> 1 dates dates             2 2024-01-02 2024-01-03     2     2
str(diffs)
#> 'data.frame':    1 obs. of  7 variables:
#>  $ var.x        : chr "dates"
#>  $ var.y        : chr "dates"
#>  $ ..row.names..: int 2
#>  $ values.x     :List of 1
#>   ..$ : AsIs, format: "2024-01-02"
#>   ..- attr(*, "class")= chr "AsIs"
#>  $ values.y     :List of 1
#>   ..$ : AsIs, format: "2024-01-03"
#>   ..- attr(*, "class")= chr "AsIs"
#>  $ row.x        : int 2
#>  $ row.y        : int 2

Should I expect this work?

paste(diffs$var.x, "was", diffs$values.x, "now is", diffs$values.y)
#> [1] "dates was 19724 now is 19725"

As a workaround, I currently need to do this (unless there is a better way)

paste(diffs$var.x, "was", diffs$values.x[[1]], "now is", diffs$values.y[[1]])
#> [1] "dates was 2024-01-02 now is 2024-01-03"

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions