使用表达式选择包 `gt` 中的行

Question

fmt_number() 的参考说明可以 select 行使用表达式：

rows

Optional rows to format. Providing either everything() (the default) or TRUE results in all rows in columns being formatted. Can either be a vector of row captions provided in c(), a vector of row indices, or a helper function focused on selections. The select helper functions are: starts_with(), ends_with(), contains(), matches(), one_of(), num_range(), and everything(). We can also use expressions to filter down to the rows we need (e.g., [colname_1] > 100 & [colname_2] < 50).

但是，我还没有找到如何进行这项工作。我尝试了以下方法（这只是一个例子；这些数字转换在此数据集中没有意义）：

library(gt)
library(tidyverse)

df = starwars

gt_tb = gt(df) %>%
    fmt_number(
        rows = [birth_year] > 20,
        pattern = '({x})'
    )

gt_tb = gt(df) %>%
  fmt_number(
    columns = mass,
    rows = [birth_year] > 20,
    pattern = '({x})'
  )

gt_tb = gt(df) %>%
  fmt_number(
    columns = mass,
    rows = expression([birth_year] > 20),
    pattern = '({x})'
  )

gt_tb = gt(df) %>%
  fmt_number(
    columns = mass,
    rows = df[birth_year] > 20,
    pattern = '({x})'
  )

gt_tb = gt(df) %>%
  fmt_number(
    columns = mass,
    rows = everything([birth_year] > 20),
    pattern = '({x})'
  )

还尝试了他们引用的等效项。

这个包很新，如果我遗漏了一些明显的东西，抱歉！

Answer 1

您还必须指定 columns:

df %>%
  gt() %>% 
  fmt_number(
    columns = where(is.numeric),
    rows = birth_year > 20,
    pattern = '({x})'
  )

这给了我们（作为 screenshot/sample）：

Answer 2

We can also use expressions to filter down to the rows we need (e.g., [colname_1] > 100 & [colname_2] < 50).

该示例使用方括号 ([]) 来告诉您这些是占位符，这不是有效的语法。

你的情况是

    fmt_number(
        columns = mass,
        rows = birth_year > 20,
        pattern = '({x})'
    )

使用表达式选择包 `gt` 中的行

Selecting rows in package `gt` using expressions

r

gt