使用dplyr-R检查一个组中的字符是否都相等

jjhzyzn0  于 2023-07-31  发布在  其他
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在下面的数据框中,如何按前两列分组,并检查第四列中的所有值是否相同?如果它们是相同的,我想用''替换它们。
在本例中,组组合'embryonated + protein''Hatching + Lipid'是仅有的两个字母不全是a的组。

df

         Stage variable Temperature letters       Mean
30 Embryonated Moisture          30       a  808.70882
31 Embryonated      NFE          20       a   53.28806
32 Embryonated      NFE          25       a   45.38572
33 Embryonated      NFE          30       a   84.56113
34 Embryonated  Protein          20      ab  118.53608
35 Embryonated  Protein          25       b  127.29849
36 Embryonated  Protein          30       a   84.55175
37    Hatching      Ash          20       a   16.95345
38    Hatching      Ash          25       a   14.54980
39    Hatching      Ash          30       a   13.38510
40    Hatching   Energy          20       a 4931.18857
41    Hatching   Energy          25       a 4187.27213
42    Hatching   Energy          30       a 4314.61171
43    Hatching    Lipid          20       b   26.44363
44    Hatching    Lipid          25       a   19.90928
45    Hatching    Lipid          30      ab   22.27561
46    Hatching Moisture          20       a  785.63062
47    Hatching Moisture          25       a  818.69860
48    Hatching Moisture          30       a  815.32070
49    Hatching      NFE          20       a   60.34359
50    Hatching      NFE          25       a   43.02979

字符串
我试过使用dplyr没有用。

grp_cols <- names(df)[c(1,2)] #group by stage and variable

# Convert character vector to list of symbols
dots <- lapply(grp_cols3, as.symbol)

res = df %>% group_by(.dots=dots) %>% 
  do(k=all(letters=='a')) #(returns all groups as `FALSE`)


数据来源:

dput(df)

structure(list(Stage = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("Developing", 
"Embryonated", "Hatching", "Laid"), class = "factor"), variable = structure(c(1L, 
5L, 5L, 5L, 2L, 2L, 2L, 4L, 4L, 4L, 6L, 6L, 6L, 3L, 3L, 3L, 1L, 
1L, 1L, 5L, 5L), .Label = c("Moisture", "Protein", "Lipid", "Ash", 
"NFE", "Energy"), class = "factor"), Temperature = c("30", "20", 
"25", "30", "20", "25", "30", "20", "25", "30", "20", "25", "30", 
"20", "25", "30", "20", "25", "30", "20", "25"), letters = c("a", 
"a", "a", "a", "ab", "b", "a", "a", "a", "a", "a", "a", "a", 
"b", "a", "ab", "a", "a", "a", "a", "a"), Mean = c(808.708818349727, 
53.2880626188374, 45.3857220182952, 84.5611267892406, 118.536080769588, 
127.298486932385, 84.5517498179938, 16.9534468121571, 14.5497954869813, 
13.3850951354759, 4931.18857123979, 4187.27213494545, 4314.61171127083, 
26.4436265667305, 19.9092762683653, 22.2756088142943, 785.630624024365, 
818.698598619779, 815.320702070777, 60.3435858953567, 43.0297881562102
)), .Names = c("Stage", "variable", "Temperature", "letters", 
"Mean"), row.names = 30:50, class = "data.frame")

snvhrwxg

snvhrwxg1#

按每个组拆分数据,查找n_distinct值,然后替换为'',情况如下:

library(dplyr)
df %>%
  group_by(Stage,variable) %>%
  dplyr::mutate(letters = replace(letters, n_distinct(letters)==1, '') )

字符串
类似的逻辑在data.table中也适用:

library(data.table)
setDT(df)
df[, letters := if(uniqueN(letters)==1) '' else letters, by=.(Stage,variable)]

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