r - R expss 包：按统计格式化数字/将不同的格式应用于交替行

Question

我正在探索 expss 包，以便为 R 完全更改 SPSS。我的标准表格在行中显示计数和百分比，有时还补充了其他统计信息。

有没有办法通过统计或行来改变数字格式？更具体地说，我想用 0 位数字显示计数，用 2 位数字显示百分比，理想情况下以 % 格式显示，用 2 位数字显示平均值。

我在 htmlTables 和 htmlTable.etable {expss} 中进行了搜索，但无法找到执行此操作的方法。

发送所有帮助

嗨，格雷戈里，

Tx 为您的利益。请参见下面的小示例。

表原样

我想看的表

德克萨斯州，米查

Answer 1

表格是通常的 data.frames，因此我们可以轻松应用标准的 R 格式化函数。例子：

library(expss)
data(mtcars)
mtcars = apply_labels(mtcars,
                      mpg = "Miles/(US) gallon",
                      cyl = "Number of cylinders",
                      disp = "Displacement (cu.in.)",
                      hp = "Gross horsepower",
                      drat = "Rear axle ratio",
                      wt = "Weight (1000 lbs)",
                      qsec = "1/4 mile time",
                      vs = "Engine",
                      vs = c("V-engine" = 0,
                             "Straight engine" = 1),
                      am = "Transmission",
                      am = c("Automatic" = 0,
                             "Manual"=1),
                      gear = "Number of forward gears",
                      carb = "Number of carburetors"
)


# custom formating function
custom_format = function(tbl, percent_digits = 2, count_digits = 0){
    percent_rows = grepl("\\|%$", tbl[[1]], perl = TRUE) # get rows with percent format
    count_rows = grepl("\\|N$", tbl[[1]], perl = TRUE) # get rows with count format
    # format each stat
    rounded_percent = format(tbl[percent_rows,-1], digits = percent_digits, nsmall = percent_digits) 
    rounded_count = format(tbl[count_rows,-1], digits = count_digits, nsmall = count_digits)
    # replcae data in orginal tables with formatted stat
    tbl[percent_rows,-1] = rounded_percent
    tbl[count_rows,-1] = rounded_count
    ##### remove NA which arise during formatting
    recode(tbl) = perl("^\\s*NA\\s*$") ~ ""
    tbl
}


## example
expss_output_viewer()
mtcars %>% 
    tab_cells(gear) %>% 
    tab_cols(total(), am) %>% 
    tab_stat_cases(label = "N", total_row_position = "above") %>% 
    tab_stat_cpct(label = "%", total_row_position = "none") %>% 
    tab_pivot(stat_position = "inside_rows") %>% 
    custom_format()