contagens de combinações de valores em um dataframe R
Eu tenho um dataframe assim:
df<-structure(list(id = c("A", "A", "A", "B", "B", "C", "C", "D",
"D", "E", "E"), expertise = c("r", "python", "julia", "python",
"r", "python", "julia", "python", "julia", "r", "julia")), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -11L), .Names = c("id",
"expertise"), spec = structure(list(cols = structure(list(id = structure(list(), class = c("collector_character",
"collector")), expertise = structure(list(), class = c("collector_character",
"collector"))), .Names = c("id", "expertise")), default = structure(list(), class = c("collector_guess",
"collector"))), .Names = c("cols", "default"), class = "col_spec"))
df
id expertise
1 A r
2 A python
3 A julia
4 B python
5 B r
6 C python
7 C julia
8 D python
9 D julia
10 E r
11 E julia
Posso obter a contagem geral de "conhecimentos" usando:
library(dplyr)
df %>% group_by(expertise) %>% mutate (counts_overall= n())
No entanto, o que eu quero é a contagem de combinações de valores de especialização. Por outras palavras, quantos "id" tinham a mesma combinação de dois conhecimentos, p. "r" e "julia"? Aqui está uma saída desejada:
df_out<-structure(list(expertise1 = c("r", "r", "python"), expertise2 = c("python",
"julia", "julia"), count = c(2L, 2L, 3L)), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -3L), .Names = c("expertise1",
"expertise2", "count"), spec = structure(list(cols = structure(list(
expertise1 = structure(list(), class = c("collector_character",
"collector")), expertise2 = structure(list(), class = c("collector_character",
"collector")), count = structure(list(), class = c("collector_integer",
"collector"))), .Names = c("expertise1", "expertise2", "count"
)), default = structure(list(), class = c("collector_guess",
"collector"))), .Names = c("cols", "default"), class = "col_spec"))
df_out
expertise1 expertise2 count
1 r python 2
2 r julia 2
3 python julia 3