有没有办法完成或扩展区间因子变量

Question

我有一个数据 frame/tibble，其中包含 bin 的因子变量。缺少分箱是因为原始数据不包括这 5 年范围内的观测值。有没有办法不用解构区间就可以轻松完成这个系列？

这是一个样本 df。

library(tibble)

df <- structure(list(bin = structure(c(1L, 3L, 5L, 6L, 7L, 8L, 9L, 
10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L), .Label = c("[1940,1945]", 
"(1945,1950]", "(1950,1955]", "(1955,1960]", "(1960,1965]", "(1965,1970]", 
"(1970,1975]", "(1975,1980]", "(1980,1985]", "(1985,1990]", "(1990,1995]", 
"(1995,2000]", "(2000,2005]", "(2005,2010]", "(2010,2015]", "(2015,2020]", 
"(2020,2025]"), class = "factor"), Values = c(2L, 4L, 14L, 11L, 
8L, 26L, 30L, 87L, 107L, 290L, 526L, 299L, 166L, 502L, 8L)), row.names = c(NA, 
-15L), class = c("tbl_df", "tbl", "data.frame"))

df
# A tibble: 15 x 2
   bin         Values
   <fct>        <int>
 1 [1940,1945]      2
 2 (1950,1955]      4
 3 (1960,1965]     14
 4 (1965,1970]     11
 5 (1970,1975]      8
 6 (1975,1980]     26
 7 (1980,1985]     30
 8 (1985,1990]     87
 9 (1990,1995]    107
10 (1995,2000]    290
11 (2000,2005]    526
12 (2005,2010]    299
13 (2010,2015]    166
14 (2015,2020]    502
15 (2020,2025]      8

我想添加缺少的 (1945,1950] 和 (1955,1960] 垃圾箱。

Answer 1

df <- orig_df %>% 
    mutate(bin = cut_width(Year, width = 5, center = 2.5)) 

df2 <- df %>% 
    group_by(bin) %>% 
    summarize(Values = n()) %>% 
    ungroup()
tibble(bin = levels(df$bin)) %>% 
    left_join(df2) %>% 
    replace_na(list(Values = 0))

Answer 2

bins 已有您想要的 levels。因此，您可以在 df 中使用 complete 作为 :

tidyr::complete(df, bin = levels(bin), fill = list(Values = 0))

# A tibble: 17 x 2
#   bin         Values
#   <chr>        <dbl>
# 1 (1945,1950]      0
# 2 (1950,1955]      4
# 3 (1955,1960]      0
# 4 (1960,1965]     14
# 5 (1965,1970]     11
# 6 (1970,1975]      8
# 7 (1975,1980]     26
# 8 (1980,1985]     30
# 9 (1985,1990]     87
#10 (1990,1995]    107
#11 (1995,2000]    290
#12 (2000,2005]    526
#13 (2005,2010]    299
#14 (2010,2015]    166
#15 (2015,2020]    502
#16 (2020,2025]      8
#17 [1940,1945]      2

有没有办法完成或扩展区间因子变量

Is there a way to complete or expand an interval factor variable

r

binning

tidyr