hy. can someone help me with this code to produce in gt. the data is here
data <- tibble(
Function = c("distinct()","count()","group_by()",
"rename_with()","slice_min()","slice_sample()"),
Description = c("keep only unique rows from a data frame",
"count the unique values of one or more var",
"group by one or more variables",
"renames columns using a function",
"select rows with the smallest values of a variable",
"randomly selects rows"),
arguments = list(
list("the data argument doesn't have Data Masking or Tidy Selection",
"the ... use data masking",
"the .keep_all arg doesn't have Data Masking or Tidy Selection"),
list("x arg doesn't have Data Masking or Tidy Selection",
"the ... arg have data masking",
"the wt arg have data masking",
"sort arg doesn't have Data Masking or Tidy Selection",
"name arg doesn't have Data Masking or Tidy Selection",
".drop arg doesn't have Data Masking or Tidy Selection"),
list(".data arg doesn't have Data Masking or Tidy Selection",
"the ... arg doesn't have Data Masking or Tidy Selection",
".add arg doesn't have Data Masking or Tidy Selection",
".drop arg doesn't have Data Masking or Tidy Selection",
"x arg doesn't have Data Masking or Tidy Selection"),
list(".data arg doesn't have Data Masking or Tidy Selection",
"the ... arg have tidy selection",
".fn arg doesn't have Data Masking or Tidy Selection",
".cols arg have tidy selection"),
list(".data arg doesn't have Data Masking or Tidy Selection",
"order_by arg have data masking",
"the ... arg have data masking",
"n arg doesn't have Data Masking or Tidy Selection",
"prop arg doesn't have Data Masking or Tidy Selection",
"by arg have tidy selection",
"with_ties arg doesn't have Data Masking or Tidy Selection",
"na_rm arg doesn't have Data Masking or Tidy Selection"),
list(".data arg doesn't have Data Masking or Tidy Selection",
"the ... arg have data masking",
"n arg doesn't have Data Masking or Tidy Selection",
"by arg have tidy selection",
"weight_by arg have data masking",
"replace arg doesn't have Data Masking or Tidy Selection")
)
)
i want to produce table like below
enter image description here
i use the pivot_wider() like this
data |> unnest_longer(arguments,keep_empty = TRUE) |>
mutate(id=row_number()) |>
pivot_wider(
names_from = id,
values_from=arguments,
)
but still confuse from using the 2 group in gt()..
hy. can someone help me with this code to produce in gt. the data is here
data <- tibble(
Function = c("distinct()","count()","group_by()",
"rename_with()","slice_min()","slice_sample()"),
Description = c("keep only unique rows from a data frame",
"count the unique values of one or more var",
"group by one or more variables",
"renames columns using a function",
"select rows with the smallest values of a variable",
"randomly selects rows"),
arguments = list(
list("the data argument doesn't have Data Masking or Tidy Selection",
"the ... use data masking",
"the .keep_all arg doesn't have Data Masking or Tidy Selection"),
list("x arg doesn't have Data Masking or Tidy Selection",
"the ... arg have data masking",
"the wt arg have data masking",
"sort arg doesn't have Data Masking or Tidy Selection",
"name arg doesn't have Data Masking or Tidy Selection",
".drop arg doesn't have Data Masking or Tidy Selection"),
list(".data arg doesn't have Data Masking or Tidy Selection",
"the ... arg doesn't have Data Masking or Tidy Selection",
".add arg doesn't have Data Masking or Tidy Selection",
".drop arg doesn't have Data Masking or Tidy Selection",
"x arg doesn't have Data Masking or Tidy Selection"),
list(".data arg doesn't have Data Masking or Tidy Selection",
"the ... arg have tidy selection",
".fn arg doesn't have Data Masking or Tidy Selection",
".cols arg have tidy selection"),
list(".data arg doesn't have Data Masking or Tidy Selection",
"order_by arg have data masking",
"the ... arg have data masking",
"n arg doesn't have Data Masking or Tidy Selection",
"prop arg doesn't have Data Masking or Tidy Selection",
"by arg have tidy selection",
"with_ties arg doesn't have Data Masking or Tidy Selection",
"na_rm arg doesn't have Data Masking or Tidy Selection"),
list(".data arg doesn't have Data Masking or Tidy Selection",
"the ... arg have data masking",
"n arg doesn't have Data Masking or Tidy Selection",
"by arg have tidy selection",
"weight_by arg have data masking",
"replace arg doesn't have Data Masking or Tidy Selection")
)
)
i want to produce table like below
enter image description here
i use the pivot_wider() like this
data |> unnest_longer(arguments,keep_empty = TRUE) |>
mutate(id=row_number()) |>
pivot_wider(
names_from = id,
values_from=arguments,
)
but still confuse from using the 2 group in gt()..
Share Improve this question asked Mar 19 at 17:21 lie ardilie ardi 12 bronze badges1 Answer
Reset to default 3gt
package exports a function fmt_markdown()
that renders markdown text in a table.
You could modify your arguments
column to add the following markdown syntax.
- code formatting: `your code`
- bulleted list:
- item1\n - item2\n ...
- text color:
<a style='color:your_color'>some_text</a>
- text highlight:
<a style='backgroud-color:your_color'>some_text</a>
- bold text:
**some_text**
library(gt)
library(dplyr)
data |>
mutate(arguments = sapply(arguments, function(x) paste0("- ", x, collapse="\n")),
arguments = gsub("data argument", "<a style='color:purple;background-color:#F0F0F0'>**`data`**</a> argument", arguments),
arguments = gsub("(\\.data|\\.cols|\\.{3}|\\.keep_all)",
"<a style='color:purple;background-color:#F0F0F0'>**`\\1`**</a>",
arguments),
Function = paste0("<a style='color:purple;background-color:#F0F0F0'>`", Function, "`</a>")) |>
gt() |>
fmt_markdown()