我试图在一行中将一堆行累积成一行.如果可能的话,我希望在dplyr中.我知道我的代码远非正确,但这是我得到了多远:
data %>%
group_by(DAY) %>%
summarise_each(funs(Sum = n()), SEX, GROUP, TOTAL)
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原版的:
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
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新:
DAY FEMALE MALE GROUP_A GROUP_B TOTAL
7/1/14 4 2 3 3 7
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另一种方式data.table,在data.frame超过一天的测试.
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
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编辑:另一个较少手动的选项(你不需要知道哪些变量是因素,哪些是数字),感谢@jangorecki和@DavidArenburg的帮助
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
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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")
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它可能看起来有点神秘,但这是一个短暂的咒语
dat %>% group_by(DAY) %>%
summarise_each(funs(ifelse(is.numeric(.), sum(.), list(table(.))))) -> res
data.frame(DAY=res$DAY, t(unlist(res[, 2:ncol(res)])))
# DAY SEX.FEMALE SEX.MALE GROUP.A GROUP.B TOTAL
# 1 7/1/14 4 2 3 3 7
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在这里,您只需将每列列为表格(如果它不是数字),或者将其汇总(如果它是总数列).这需要作为列表返回,因为summarise_each需要单个值.然后,结果扩展为常规data.frame.
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