R Subsetting data frame according to value in a column: only choosing 1
I have a data frame that has over 30 columns and 100 rows. Each row is a participant but some participants come from the same school, so some columns are the same for the given participants that share school:
part_ID school_ID age gender sts_school courses_school
1 1 12 F 2967 21
2 1 11 F 2967 21
3 1 12 F 2967 21
4 2 12 F 1450 16
5 2 11 M 1450 16
6 3 12 F 2967 21
I would like to subset my data so that I only keep one row per school. That is, from the 6 rows above, I'd like to be left with 3 only, one for each different school_ID. The row I keep/discard doesn't matter, since all the info related to school is the same.
Any input?
r dataframe subset
asked Nov 13 '18 at 19:32
AudreyAudrey
111
add a comment |
I have a data frame that has over 30 columns and 100 rows. Each row is a participant but some participants come from the same school, so some columns are the same for the given participants that share school:
part_ID school_ID age gender sts_school courses_school
1 1 12 F 2967 21
2 1 11 F 2967 21
3 1 12 F 2967 21
4 2 12 F 1450 16
5 2 11 M 1450 16
6 3 12 F 2967 21
I would like to subset my data so that I only keep one row per school. That is, from the 6 rows above, I'd like to be left with 3 only, one for each different school_ID. The row I keep/discard doesn't matter, since all the info related to school is the same.
Any input?
r dataframe subset
asked Nov 13 '18 at 19:32
AudreyAudrey
111
1
df[!duplicated(df$school_ID),]- this will give you the first row of every school_ID.
– iod
Nov 13 '18 at 19:34
Indplyryou can dodf %>% distinct(school_ID, .keep_all = TRUE).
– tmfmnk
Nov 13 '18 at 19:52
add a comment |
I have a data frame that has over 30 columns and 100 rows. Each row is a participant but some participants come from the same school, so some columns are the same for the given participants that share school:
part_ID school_ID age gender sts_school courses_school
1 1 12 F 2967 21
2 1 11 F 2967 21
3 1 12 F 2967 21
4 2 12 F 1450 16
5 2 11 M 1450 16
6 3 12 F 2967 21
I would like to subset my data so that I only keep one row per school. That is, from the 6 rows above, I'd like to be left with 3 only, one for each different school_ID. The row I keep/discard doesn't matter, since all the info related to school is the same.
Any input?
r dataframe subset
asked Nov 13 '18 at 19:32
AudreyAudrey
111
I have a data frame that has over 30 columns and 100 rows. Each row is a participant but some participants come from the same school, so some columns are the same for the given participants that share school:
part_ID school_ID age gender sts_school courses_school
1 1 12 F 2967 21
2 1 11 F 2967 21
3 1 12 F 2967 21
4 2 12 F 1450 16
5 2 11 M 1450 16
6 3 12 F 2967 21
I would like to subset my data so that I only keep one row per school. That is, from the 6 rows above, I'd like to be left with 3 only, one for each different school_ID. The row I keep/discard doesn't matter, since all the info related to school is the same.
Any input?
r dataframe subset
r dataframe subset
asked Nov 13 '18 at 19:32
AudreyAudrey
111
asked Nov 13 '18 at 19:32
AudreyAudrey
111
asked Nov 13 '18 at 19:32
AudreyAudrey
111
asked Nov 13 '18 at 19:32
AudreyAudrey
111
asked Nov 13 '18 at 19:32
AudreyAudrey
111
111
1
df[!duplicated(df$school_ID),]- this will give you the first row of every school_ID.
– iod
Nov 13 '18 at 19:34
Indplyryou can dodf %>% distinct(school_ID, .keep_all = TRUE).
– tmfmnk
Nov 13 '18 at 19:52
add a comment |
1
df[!duplicated(df$school_ID),]- this will give you the first row of every school_ID.
– iod
Nov 13 '18 at 19:34
Indplyryou can dodf %>% distinct(school_ID, .keep_all = TRUE).
– tmfmnk
Nov 13 '18 at 19:52
1
1
df[!duplicated(df$school_ID),] - this will give you the first row of every school_ID.– iod
Nov 13 '18 at 19:34
df[!duplicated(df$school_ID),] - this will give you the first row of every school_ID.– iod
Nov 13 '18 at 19:34
In
dplyr you can do df %>% distinct(school_ID, .keep_all = TRUE).– tmfmnk
Nov 13 '18 at 19:52
In
dplyr you can do df %>% distinct(school_ID, .keep_all = TRUE).– tmfmnk
Nov 13 '18 at 19:52
add a comment |
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1
df[!duplicated(df$school_ID),]- this will give you the first row of every school_ID.– iod
Nov 13 '18 at 19:34
In
dplyryou can dodf %>% distinct(school_ID, .keep_all = TRUE).– tmfmnk
Nov 13 '18 at 19:52