,我有以下数据集:dplyr ::计数()多列
dat = structure(list(C86_1981 = c("Outer London", "Buckinghamshire",
NA, "Ross and Cromarty", "Cornwall and Isles of Scilly", NA,
"Kirkcaldy", "Devon", "Kent", "Renfrew"), C96_1981 = c("Outer London",
"Buckinghamshire", NA, "Ross and Cromarty", "Not known/missing",
NA, "Kirkcaldy", NA, NA, NA), C00_1981 = c("Outer London", "Inner London",
"Lancashire", "Ross and Cromarty", NA, "Humberside", "Kirkcaldy",
NA, NA, NA), C04_1981 = c("Kent", NA, NA, "Ross and Cromarty",
NA, "Humberside", "Not known/missing", NA, NA, "Renfrew"), C08_1981 = c("Kent",
"Oxfordshire", NA, "Ross and Cromarty", "Cornwall and Isles of Scilly",
"Humberside", "Dunfermline", NA, NA, "Renfrew"), C12_1981 = c("Kent",
NA, NA, "Ross and Cromarty", "Cornwall and Isles of Scilly",
"Humberside", "Dunfermline", NA, NA, "Renfrew")), row.names = c(NA,
-10L), class = c("tbl_df", "tbl", "data.frame"), .Names = c("C86_1981",
"C96_1981", "C00_1981", "C04_1981", "C08_1981", "C12_1981"))
我想dplyr::count()
每一列。预期成果:
# A tibble: 10 x 3
C86_1981 dat86_n dat96_n ...
<chr> <int> <int>
1 Buckinghamshire 1 1
2 Cornwall and Isles of Scilly 1 NA
3 Devon 1 NA
4 Kent 1 NA
5 Kirkcaldy 1 1
6 Outer London 1 1
7 Renfrew 1 NA
8 Ross and Cromarty 1 1
9 <NA> 2 5
10 Not known/missing NA 1
目前我在做这个手工然后dplyr::full_join()
荷兰国际集团的结果:
library("tidyverse")
dat86_n = dat %>%
count(C86_1981) %>%
rename(dat86_n = n)
dat96_n = dat %>%
count(C96_1981) %>%
rename(dat96_n = n)
# ...
dat_counts = dat86_n %>%
full_join(dat96_n, by = c("C86_1981" = "C96_1981"))
# ...
其中一期工程,但并不完全一样强劲,如果我的任何数据更改后。我曾希望以编程方式做到这一点。
我试过一个循环:
lapply(dat, count)
# Error in UseMethod("groups") :
# no applicable method for 'groups' applied to an object of class "character"
(purrr::map()
给出了同样的错误)。我认为,这个错误是因为count()
需要一个tbl
并作为独立参数变量,所以我尝试太:
lapply(dat, function(x) {
count(dat, x)
})
# Error in grouped_df_impl(data, unname(vars), drop) :
# Column `x` is unknown
再次,purrr::map()
给出了同样的错误。我也试过的summarise_all()
变种:
dat %>%
summarise_all(count)
# Error in summarise_impl(.data, dots) :
# Evaluation error: no applicable method for 'groups' applied to an object of class "character".
我觉得我失去了一些东西明显,解决方案应该是简单的。 dplyr
解决方案特别受欢迎,因为这是我最常用的解决方案。
是的!谢谢!一个调整:你可以不用'ungroup()'作为'count()'来为你做,但是否则完美。 – Phil