我试图将一天的一堆行卷成一行。如果可能的话,我希望它在 dplyr 中。我知道我的代码远非正确,但这是我得到的程度:
data %>%
group_by(DAY) %>%
summarise_each(funs(Sum = n()), SEX, GROUP, TOTAL)
原来的:
DAY SEX GROUP TOTAL
7/1/14 FEMALE A 1
7/1/14 FEMALE B 1
7/1/14 FEMALE B 1
7/1/14 FEMALE A 1
7/1/14 MALE A 1
7/1/14 MALE B 2
新的:
DAY FEMALE MALE GROUP_A GROUP_B TOTAL
7/1/14 4 2 3 3 7
最佳答案
另一种方式与 data.table
,在 data.frame
上测试超过一天。
require(data.table)
setDT(data)[, as.list(c(table(SEX), table(GROUP), TOTAL=sum(TOTAL))), by=DAY]
# DAY FEMALE MALE A B TOTAL
#1: 7/1/14 3 0 1 2 3
#2: 8/1/14 1 2 2 1 4
编辑:由于@jangorecki 和@DavidArenburg 的一些帮助,另一个更少手动的选项(您不需要知道哪些变量是因子,哪些是数字)
wh_num <- sapply(data, is.numeric)[-1]
wh_fact <-sapply(data, is.factor)[-1]
setDT(data)[, as.list(c(lapply(.SD[, wh_fact, with = FALSE], table),
lapply(.SD[, wh_num, with = FALSE], sum),
recursive = TRUE)), by = DAY]
# DAY SEX.FEMALE SEX.MALE GROUP.A GROUP.B TOTAL
#1: 7/1/14 3 0 1 2 3
#2: 8/1/14 1 2 2 1 4
数据
data <- structure(list(DAY = c("7/1/14", "7/1/14", "7/1/14", "8/1/14",
"8/1/14", "8/1/14"), SEX = structure(c(1L, 1L, 1L, 1L, 2L, 2L
), .Label = c("FEMALE", "MALE"), class = "factor"), GROUP = structure(c(1L,
2L, 2L, 1L, 1L, 2L), .Label = c("A", "B"), class = "factor"),
TOTAL = c(1L, 1L, 1L, 1L, 1L, 2L)), .Names = c("DAY", "SEX",
"GROUP", "TOTAL"), row.names = c(NA, -6L), class = "data.frame")
关于R 将行汇总为一行(连续变量和因子变量),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/31470309/