这是用于导出问题中第一个表的代码。
JH %>% group_by(ATT_ID, CAR=="B") %>%
summarize(count = n(), .groups = "drop")
<表类>ATT_ID 汽车= ="B" 数 tbody><<tr>一个 假 1 两个 真正 1 3 对 3 3 假 5 四假 2 5 真正 4 六 真正 8 六 假 4 表类>
您可以这样做:
dt %>%
group_by(ATT_ID) %>%
summarize(perc = sprintf("%3.1f%%", 100*sum(Count*`CAR =="B"`)/sum(Count)))
输出:
# A tibble: 6 × 2
ATT_ID perc
<chr> <chr>
1 FIVE 100.0%
2 FOUR 0.0%
3 ONE 0.0%
4 SIX 66.7%
5 THREE 37.5%
6 TWO 100.0%
输入:
structure(list(ATT_ID = c("ONE", "TWO", "THREE", "THREE", "FOUR",
"FIVE", "SIX", "SIX"), `CAR =="B"` = c(FALSE, TRUE, TRUE, FALSE,
FALSE, TRUE, TRUE, FALSE), Count = c(1, 1, 3, 5, 2, 4, 8, 4)), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -8L))