使用“传播”多个变量的最佳方法是什么pivot_wider()
在开发版本中tidyr
?
# https://tidyr.tidyverse.org/dev/reference/pivot_wider.html
# devtools::install_github("tidyverse/tidyr")
library(tidyr)
library(tidyverse)
have <- tibble::tribble(
~user_id, ~question, ~answer, ~timestamp,
1, "q1", "a1", "2019-07-22 16:54:43",
1, "q2", "a2", "2019-07-22 16:55:43",
2, "q1", "a1", "2019-07-22 16:56:43",
2, "q2", "a2", "2019-07-22 16:57:43",
3, "q1", "a1", "2019-07-22 16:58:43",
3, "q2", "a2", "2019-07-22 16:59:43"
) %>%
mutate(timestamp = as_datetime(timestamp))
have
# # A tibble: 6 x 4
# user_id question answer timestamp
# <dbl> <chr> <chr> <dttm>
# 1 1 q1 a1 2019-07-22 16:54:43
# 2 1 q2 a2 2019-07-22 16:55:43
# 3 2 q1 a1 2019-07-22 16:56:43
# 4 2 q2 a2 2019-07-22 16:57:43
# 5 3 q1 a1 2019-07-22 16:58:43
# 6 3 q2 a2 2019-07-22 16:59:43
want <- tibble::tribble(
~user_id, ~q1, ~q2, ~timestamp_q1, ~timestamp_q2,
1, "a1", "a2", "2019-07-22 16:54:43", "2019-07-22 16:55:43",
2, "a1", "a2", "2019-07-22 16:56:43", "2019-07-22 16:57:43",
3, "a1", "a2", "2019-07-22 16:58:43", "2019-07-22 16:59:43"
) %>%
mutate(timestamp_q1 = as_datetime(timestamp_q1)) %>%
mutate(timestamp_q2 = as_datetime(timestamp_q2))
want
# A tibble: 3 x 5
# user_id q1 q2 timestamp_q1 timestamp_q2
# <dbl> <chr> <chr> <dttm> <dttm>
#1 1 a1 a2 2019-07-22 16:54:43 2019-07-22 16:55:43
#2 2 a1 a2 2019-07-22 16:56:43 2019-07-22 16:57:43
#3 3 a1 a2 2019-07-22 16:58:43 2019-07-22 16:59:43
如果您想分散一对变量,则此方法有效,但会失败,因为只有user_id
应该是识别变量。
have %>%
pivot_wider(names_from = question, values_from = answer)
# # A tibble: 6 x 4
# user_id timestamp q1 q2
# <dbl> <dttm> <chr> <chr>
# 1 1 2019-07-22 16:54:43 a1 NA
# 2 1 2019-07-22 16:55:43 NA a2
# 3 2 2019-07-22 16:56:43 a1 NA
# 4 2 2019-07-22 16:57:43 NA a2
# 5 3 2019-07-22 16:58:43 a1 NA
# 6 3 2019-07-22 16:59:43 NA a2