How to traverse two columns and fill in another column at the same index with a string in R?
I have a data frame with a column of strings that are the question body of a survey, then I have a separate data frame with those question bodies matched two a question number. I want to traverse the original data frame's column and check if the value matches any within the other data frame and if does I want to store the associated question number in a column in the original df. I am having a lot of trouble figuring this out, I have looked into using apply() or something like that but I can't quite get it. Any help would be greatly appreciated.
r dataframe
asked Nov 20 at 1:43
Griffin Weinhold
1
add a comment |
I have a data frame with a column of strings that are the question body of a survey, then I have a separate data frame with those question bodies matched two a question number. I want to traverse the original data frame's column and check if the value matches any within the other data frame and if does I want to store the associated question number in a column in the original df. I am having a lot of trouble figuring this out, I have looked into using apply() or something like that but I can't quite get it. Any help would be greatly appreciated.
r dataframe
asked Nov 20 at 1:43
Griffin Weinhold
1
Welcome to StackOverflow! Please read the info about how to ask a good question and how to give a reproducible example. This will make it much easier for others to help you.
– Ronak Shah
Nov 20 at 2:40
add a comment |
I have a data frame with a column of strings that are the question body of a survey, then I have a separate data frame with those question bodies matched two a question number. I want to traverse the original data frame's column and check if the value matches any within the other data frame and if does I want to store the associated question number in a column in the original df. I am having a lot of trouble figuring this out, I have looked into using apply() or something like that but I can't quite get it. Any help would be greatly appreciated.
r dataframe
asked Nov 20 at 1:43
Griffin Weinhold
1
I have a data frame with a column of strings that are the question body of a survey, then I have a separate data frame with those question bodies matched two a question number. I want to traverse the original data frame's column and check if the value matches any within the other data frame and if does I want to store the associated question number in a column in the original df. I am having a lot of trouble figuring this out, I have looked into using apply() or something like that but I can't quite get it. Any help would be greatly appreciated.
r dataframe
r dataframe
asked Nov 20 at 1:43
Griffin Weinhold
1
asked Nov 20 at 1:43
Griffin Weinhold
1
asked Nov 20 at 1:43
Griffin Weinhold
1
asked Nov 20 at 1:43
Griffin Weinhold
1
asked Nov 20 at 1:43
Griffin Weinhold
1
1
Welcome to StackOverflow! Please read the info about how to ask a good question and how to give a reproducible example. This will make it much easier for others to help you.
– Ronak Shah
Nov 20 at 2:40
add a comment |
Welcome to StackOverflow! Please read the info about how to ask a good question and how to give a reproducible example. This will make it much easier for others to help you.
– Ronak Shah
Nov 20 at 2:40
Welcome to StackOverflow! Please read the info about how to ask a good question and how to give a reproducible example. This will make it much easier for others to help you.
– Ronak Shah
Nov 20 at 2:40
Welcome to StackOverflow! Please read the info about how to ask a good question and how to give a reproducible example. This will make it much easier for others to help you.
– Ronak Shah
Nov 20 at 2:40
add a comment |
1 Answer
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oldest
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If df is the first dataframe and df2 the second and Q is the name of the question strings column, then:
library (dplyr)
left_join(df1, df2, by=question_body) %>% select(-question_body)
Of course, it would be easier to give you an accurate answer if you provided some actual examples of your data structure.
answered Nov 20 at 1:52
iod
3,4892721
Imagine we have df1 where it is a matrix with columns (question_id, question_body, participant_id) and each column has thousands of different rows. Then there is a much smaller data frame df2 that is a matrix with columns (question_number, question_body) and has the template of the original questionnaire and its responses. Now df1 is much larger and has many repetitions of the questions in df2, but I want to replace every instance of each question_body in df1 with the corresponding question_number from df2 if that makes sense.
– Griffin Weinhold
Nov 20 at 22:51
It's really hard to "imagine" this. It would really be best if you'd provided a reproducible example.
– iod
Nov 20 at 23:23
Also, did you try my solution? It should work for what you're describing.
– iod
Nov 21 at 1:12
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
If df is the first dataframe and df2 the second and Q is the name of the question strings column, then:
library (dplyr)
left_join(df1, df2, by=question_body) %>% select(-question_body)
Of course, it would be easier to give you an accurate answer if you provided some actual examples of your data structure.
answered Nov 20 at 1:52
iod
3,4892721
Imagine we have df1 where it is a matrix with columns (question_id, question_body, participant_id) and each column has thousands of different rows. Then there is a much smaller data frame df2 that is a matrix with columns (question_number, question_body) and has the template of the original questionnaire and its responses. Now df1 is much larger and has many repetitions of the questions in df2, but I want to replace every instance of each question_body in df1 with the corresponding question_number from df2 if that makes sense.
– Griffin Weinhold
Nov 20 at 22:51
It's really hard to "imagine" this. It would really be best if you'd provided a reproducible example.
– iod
Nov 20 at 23:23
Also, did you try my solution? It should work for what you're describing.
– iod
Nov 21 at 1:12
add a comment |
If df is the first dataframe and df2 the second and Q is the name of the question strings column, then:
library (dplyr)
left_join(df1, df2, by=question_body) %>% select(-question_body)
Of course, it would be easier to give you an accurate answer if you provided some actual examples of your data structure.
answered Nov 20 at 1:52
iod
3,4892721
Imagine we have df1 where it is a matrix with columns (question_id, question_body, participant_id) and each column has thousands of different rows. Then there is a much smaller data frame df2 that is a matrix with columns (question_number, question_body) and has the template of the original questionnaire and its responses. Now df1 is much larger and has many repetitions of the questions in df2, but I want to replace every instance of each question_body in df1 with the corresponding question_number from df2 if that makes sense.
– Griffin Weinhold
Nov 20 at 22:51
It's really hard to "imagine" this. It would really be best if you'd provided a reproducible example.
– iod
Nov 20 at 23:23
Also, did you try my solution? It should work for what you're describing.
– iod
Nov 21 at 1:12
add a comment |
If df is the first dataframe and df2 the second and Q is the name of the question strings column, then:
library (dplyr)
left_join(df1, df2, by=question_body) %>% select(-question_body)
Of course, it would be easier to give you an accurate answer if you provided some actual examples of your data structure.
answered Nov 20 at 1:52
iod
3,4892721
If df is the first dataframe and df2 the second and Q is the name of the question strings column, then:
library (dplyr)
left_join(df1, df2, by=question_body) %>% select(-question_body)
Of course, it would be easier to give you an accurate answer if you provided some actual examples of your data structure.
answered Nov 20 at 1:52
iod
3,4892721
edited Nov 21 at 1:10
answered Nov 20 at 1:52
iod
3,4892721
answered Nov 20 at 1:52
iod
3,4892721
answered Nov 20 at 1:52
iod
3,4892721
3,4892721
Imagine we have df1 where it is a matrix with columns (question_id, question_body, participant_id) and each column has thousands of different rows. Then there is a much smaller data frame df2 that is a matrix with columns (question_number, question_body) and has the template of the original questionnaire and its responses. Now df1 is much larger and has many repetitions of the questions in df2, but I want to replace every instance of each question_body in df1 with the corresponding question_number from df2 if that makes sense.
– Griffin Weinhold
Nov 20 at 22:51
It's really hard to "imagine" this. It would really be best if you'd provided a reproducible example.
– iod
Nov 20 at 23:23
Also, did you try my solution? It should work for what you're describing.
– iod
Nov 21 at 1:12
add a comment |
Imagine we have df1 where it is a matrix with columns (question_id, question_body, participant_id) and each column has thousands of different rows. Then there is a much smaller data frame df2 that is a matrix with columns (question_number, question_body) and has the template of the original questionnaire and its responses. Now df1 is much larger and has many repetitions of the questions in df2, but I want to replace every instance of each question_body in df1 with the corresponding question_number from df2 if that makes sense.
– Griffin Weinhold
Nov 20 at 22:51
It's really hard to "imagine" this. It would really be best if you'd provided a reproducible example.
– iod
Nov 20 at 23:23
Also, did you try my solution? It should work for what you're describing.
– iod
Nov 21 at 1:12
Imagine we have df1 where it is a matrix with columns (question_id, question_body, participant_id) and each column has thousands of different rows. Then there is a much smaller data frame df2 that is a matrix with columns (question_number, question_body) and has the template of the original questionnaire and its responses. Now df1 is much larger and has many repetitions of the questions in df2, but I want to replace every instance of each question_body in df1 with the corresponding question_number from df2 if that makes sense.
– Griffin Weinhold
Nov 20 at 22:51
Imagine we have df1 where it is a matrix with columns (question_id, question_body, participant_id) and each column has thousands of different rows. Then there is a much smaller data frame df2 that is a matrix with columns (question_number, question_body) and has the template of the original questionnaire and its responses. Now df1 is much larger and has many repetitions of the questions in df2, but I want to replace every instance of each question_body in df1 with the corresponding question_number from df2 if that makes sense.
– Griffin Weinhold
Nov 20 at 22:51
It's really hard to "imagine" this. It would really be best if you'd provided a reproducible example.
– iod
Nov 20 at 23:23
It's really hard to "imagine" this. It would really be best if you'd provided a reproducible example.
– iod
Nov 20 at 23:23
Also, did you try my solution? It should work for what you're describing.
– iod
Nov 21 at 1:12
Also, did you try my solution? It should work for what you're describing.
– iod
Nov 21 at 1:12
add a comment |
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Welcome to StackOverflow! Please read the info about how to ask a good question and how to give a reproducible example. This will make it much easier for others to help you.
– Ronak Shah
Nov 20 at 2:40