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class_table()
: show a dataframe of the classes
#167
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This sometimes captures NA values, it might be best to use something like: map_dfr(
data,
class
) %>%
pivot_longer(
cols = everything(),
names_to = "variable",
values_to = "class"
) %>%
arrange(
class,
variable
) Or to look more closely at the internals of fingerprint or something? |
Alright here we go: library(visdat)
variable_first_value <- function(data){
data %>%
dplyr::slice_head(n = 1) %>%
tidyr::pivot_longer(
cols = tidyselect::everything(),
names_to = "variable",
values_to = "first_value",
values_transform = as.character
)
}
class_info <- function(data){
data %>%
purrr::map_dfr(
class
) %>%
tidyr::pivot_longer(
cols = tidyselect::everything(),
names_to = "variable",
values_to = "class"
) %>%
dplyr::arrange(
class,
variable
)
}
class_table <- function(data){
dplyr::left_join(
x = class_info(data),
y = variable_first_value(data),
by = "variable"
)
}
class_table(typical_data)
#> # A tibble: 9 × 3
#> variable class first_value
#> <chr> <chr> <chr>
#> 1 Age character <NA>
#> 2 ID character 0001
#> 3 Income factor 4334.29
#> 4 Race factor Black
#> 5 Sex factor Male
#> 6 Died logical FALSE
#> 7 Smokes logical FALSE
#> 8 Height(cm) numeric 175.9
#> 9 IQ numeric 110 Created on 2024-03-13 with reprex v2.1.0 Session infosessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.3.3 (2024-02-29)
#> os macOS Sonoma 14.3.1
#> system aarch64, darwin20
#> ui X11
#> language (EN)
#> collate en_US.UTF-8
#> ctype en_US.UTF-8
#> tz Australia/Hobart
#> date 2024-03-13
#> pandoc 3.1.1 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/ (via rmarkdown)
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
#> cli 3.6.2 2023-12-11 [1] CRAN (R 4.3.1)
#> digest 0.6.34 2024-01-11 [1] CRAN (R 4.3.1)
#> dplyr 1.1.4 2023-11-17 [1] CRAN (R 4.3.1)
#> evaluate 0.23 2023-11-01 [1] CRAN (R 4.3.1)
#> fansi 1.0.6 2023-12-08 [1] CRAN (R 4.3.1)
#> fastmap 1.1.1 2023-02-24 [1] CRAN (R 4.3.0)
#> fs 1.6.3 2023-07-20 [1] CRAN (R 4.3.0)
#> generics 0.1.3 2022-07-05 [1] CRAN (R 4.3.0)
#> glue 1.7.0 2024-01-09 [1] CRAN (R 4.3.1)
#> htmltools 0.5.7 2023-11-03 [1] CRAN (R 4.3.1)
#> knitr 1.45 2023-10-30 [1] CRAN (R 4.3.1)
#> lifecycle 1.0.4 2023-11-07 [1] CRAN (R 4.3.1)
#> magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.3.0)
#> pillar 1.9.0 2023-03-22 [1] CRAN (R 4.3.0)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.3.0)
#> purrr 1.0.2 2023-08-10 [1] CRAN (R 4.3.0)
#> R.cache 0.16.0 2022-07-21 [2] CRAN (R 4.3.0)
#> R.methodsS3 1.8.2 2022-06-13 [2] CRAN (R 4.3.0)
#> R.oo 1.26.0 2024-01-24 [2] CRAN (R 4.3.1)
#> R.utils 2.12.3 2023-11-18 [2] CRAN (R 4.3.1)
#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.3.0)
#> reprex 2.1.0 2024-01-11 [2] CRAN (R 4.3.1)
#> rlang 1.1.3 2024-01-10 [1] CRAN (R 4.3.1)
#> rmarkdown 2.25 2023-09-18 [1] CRAN (R 4.3.1)
#> rstudioapi 0.15.0 2023-07-07 [1] CRAN (R 4.3.0)
#> sessioninfo 1.2.2 2021-12-06 [2] CRAN (R 4.3.0)
#> styler 1.10.2 2023-08-29 [2] CRAN (R 4.3.0)
#> tibble 3.2.1 2023-03-20 [1] CRAN (R 4.3.0)
#> tidyr 1.3.1 2024-01-24 [1] CRAN (R 4.3.1)
#> tidyselect 1.2.0 2022-10-10 [1] CRAN (R 4.3.0)
#> utf8 1.2.4 2023-10-22 [1] CRAN (R 4.3.1)
#> vctrs 0.6.5 2023-12-01 [1] CRAN (R 4.3.1)
#> visdat * 0.6.0 2023-02-02 [2] CRAN (R 4.3.0)
#> withr 3.0.0 2024-01-16 [1] CRAN (R 4.3.1)
#> xfun 0.42 2024-02-08 [1] CRAN (R 4.3.1)
#> yaml 2.3.8 2023-12-11 [1] CRAN (R 4.3.1)
#>
#> [1] /Users/nick/Library/R/arm64/4.3/library
#> [2] /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library
#>
#> ────────────────────────────────────────────────────────────────────────────── |
Could maybe change |
Haaaa this is what |
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This is another quick workaround for showing class information, see #166
Created on 2024-03-13 with reprex v2.1.0
Session info
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