Suppose I have dataframe like this:
family relationship meanings edu
1 1 A respondent 12
2 1 B respondent's spouse 18
3 1 C A's father 10
4 1 D A's mother 9
5 1 E1 A's first son 15
6 1 F1 E1's spouse 14
7 1 G11 E1's first son 3
8 1 G12 E1's second son 1
9 1 E2 A's second son 13
10 2 A respondent 21
11 2 B respondent's spouse 16
12 2 C A's father 12
13 2 D A's mother 16
14 2 E1 A's first son 18
15 2 F1 E1's spouse 15
16 2 E2 A's second son 17
17 2 E3 A's third son 16
family indicates family number. relationship indicates relationships in one family. meanings indicates the meanings of the second column, relationship.
I want to calculate the father generation’s maximum education year in one family. We do not need spouse's information.
The expected results are as follows:
family id edu fedu
1 1 A 12 10
2 1 C 10 NA
3 1 E1 15 18
4 1 E2 13 18
5 1 G11 3 15
6 1 G12 1 15
7 2 A 21 16
8 2 C 12 NA
9 2 E1 18 21
10 2 E2 17 21
11 2 E3 16 21
Here is the data:
d = structure(list(family = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2), relationship = c("A", "B", "C", "D", "E1", "F1", "G11", "G12", "E2", "A", "B", "C", "D", "E1", "F1", "E2", "E3"), meanings = c("respondent", "respondent's spouse", "A's father","A's mother", "A's first son", "E1's spouse", "E1's first son","E1's second son", "A's second son", "respondent", "respondent's spouse","A's father", "A's mother", "A's first son", "E1's spouse", "A's second son","A's third son"), edu = c(12, 18, 10, 9, 15, 14, 3, 1, 13, 21,16, 12, 16, 18, 15, 17, 16)), row.names = c(NA, -17L), class = c("tbl_df", "tbl", "data.frame"))