我有这样的数据:
# Data
varx1 <- data.frame(datex = c("2018/01/01","2018/01/02","2018/01/03"), x = c(101,102,103))
varx2 <- data.frame(datex = c("2018/01/01","2018/01/02","2018/01/03","2018/01/04","2018/01/05"), x = c(10,11,12,13,14))
varx3 <- data.frame(datex = c("2018/01/01"), x = c(1000))
combination <- list(`code status OK01` = varx1, `code trx OCS02` = varx2, `Revenue 101` = varx3)
combination
我希望得到如下结果:
# Result
result <- data.frame(datex = c("2018/01/01","2018/01/02","2018/01/03","2018/01/01","2018/01/02","2018/01/03","2018/01/04","2018/01/05","2018/01/01"),
combination = c("code status OK01","code status OK01","code status OK01","code trx OCS02","code trx OCS02","code trx OCS02","code trx OCS02","code trx OCS02","Revenue 101"),
x = c(101,102,103,10,11,12,13,14,1000))
result
需要帮助解决此问题。感谢
答案 0 :(得分:0)
我不知道变量varx3
,但这样可行:
library(tidyverse)
result <- varx1 %>%
mutate(combination="code status OK01") %>%
bind_rows(varx2 %>%
mutate(combination="code trx OCS02")) %>%
bind_rows(varx3 %>%
mutate(combination="Revenue 101")) %>%
select(datex, combination, x)
result
如果你想在列表中工作(鉴于列表是静态的):
library(tidyverse)
result <- combination[[1]] %>%
mutate(combination="code status OK01") %>%
bind_rows(combination[[2]] %>%
mutate(combination="code trx OCS02")) %>%
bind_rows(combination[[3]] %>%
mutate(combination="Revenue 101")) %>%
select(datex, combination, x)
result
你指出,你有100多个变量。因此,如果您的combination
数据框包含100个变量,每个变量位于一个大型列表中的单个数据框中,您可以使用:
library(tidyverse)
var_names <- names(combination)
df <- NULL
for (i in 1:length(var_names)) {
df[[i]] <- combination[[i]] %>%
mutate(combinate=var_names[[i]])
}
result <- bind_rows(df)
result