我想使用expss包为一些二分变量创建一个汇总表。由于变量是二分的,因此两个级别中的一个将足以“显示画面”。
我尝试使用函数tab_net_cell,但无法获得正确的结果。下面是一些带有1或0的BrCa (乳腺癌)的示例代码。我只想展示乳腺癌患者的数量,但不是没有乳腺癌的患者。
df <- data.frame(BrCa = c(1,1,1,0,0,0,NA,NA,0,0))
df$group <- c(1,2,1,2,1,2,1,2,1,2)
df %>%
expss::tab_cols(group) %>%
expss::tab_cells(BrCa) %>%
expss::tab_stat_cpct(total_row_position = "none",label = "%") %>%
expss::tab_stat_cases(total_row_position = "none",label = "N") %>%
expss::tab_pivot(stat_position = "inside_rows")
df %>%
expss::tab_cols(group) %>%
expss::tab_cells(BrCa) %>%
expss::tab_net_cells("BrCa" = eq(1)) %>%
expss::tab_stat_cpct(total_row_position = "none",label = "%") %>%
expss::tab_stat_cases(total_row_position = "none",label = "N") %>%
expss::tab_pivot(stat_position = "inside_rows") 发布于 2019-08-30 23:18:53
最简单的方法是过滤结果表:
df <- data.frame(BrCa = c(1,1,1,0,0,0,NA,NA,0,0))
df$group <- c(1,2,1,2,1,2,1,2,1,2)
df %>%
expss::tab_cols(group) %>%
expss::tab_cells(BrCa) %>%
expss::tab_stat_cpct(total_row_position = "none",label = "%") %>%
expss::tab_stat_cases(total_row_position = "none",label = "N") %>%
expss::tab_pivot(stat_position = "inside_rows") %>%
expss::where(grepl(1, row_labels))另一种方法是使用mean和sum代替cpct和cases:
df %>%
expss::tab_cols(group) %>%
expss::tab_cells(BrCa*100) %>%
expss::tab_stat_mean(label = "%") %>%
expss::tab_stat_sum(label = "N") %>%
expss::tab_pivot(stat_position = "inside_rows") https://stackoverflow.com/questions/57728512
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