Transforming rows into itemsets in R to use arules
I have the results of survey data in the following format
ResponseID Reason1 Reason2 Reason3 ...
1 'Event' 'Tour' 'Other'
2 'Tour' 'Other'
3 'Event' 'Program'
For each survey respondent they selected the reason for their visit to a park.
I would like to run some association rules on the respondent's answers but I can not figure out how to get the data in the appropriate form
I imagine it would look something like
ResponseID Itemset
1 {'Event','Tour','Other'}
2 {'Tour', 'Other'}
3 {'Event','Program'}
but I have not been able to decipher to documentation of ItemMatrix and R is not a language I am very familiar in - thanks!
r associations arules market-basket-analysis
asked Nov 19 at 23:20
H.Ford
1
add a comment |
I have the results of survey data in the following format
ResponseID Reason1 Reason2 Reason3 ...
1 'Event' 'Tour' 'Other'
2 'Tour' 'Other'
3 'Event' 'Program'
For each survey respondent they selected the reason for their visit to a park.
I would like to run some association rules on the respondent's answers but I can not figure out how to get the data in the appropriate form
I imagine it would look something like
ResponseID Itemset
1 {'Event','Tour','Other'}
2 {'Tour', 'Other'}
3 {'Event','Program'}
but I have not been able to decipher to documentation of ItemMatrix and R is not a language I am very familiar in - thanks!
r associations arules market-basket-analysis
asked Nov 19 at 23:20
H.Ford
1
you can try -apply(df[, 2:4], 1, function(x) paste0(x, collapse = ",")
– Shree
Nov 19 at 23:25
add a comment |
I have the results of survey data in the following format
ResponseID Reason1 Reason2 Reason3 ...
1 'Event' 'Tour' 'Other'
2 'Tour' 'Other'
3 'Event' 'Program'
For each survey respondent they selected the reason for their visit to a park.
I would like to run some association rules on the respondent's answers but I can not figure out how to get the data in the appropriate form
I imagine it would look something like
ResponseID Itemset
1 {'Event','Tour','Other'}
2 {'Tour', 'Other'}
3 {'Event','Program'}
but I have not been able to decipher to documentation of ItemMatrix and R is not a language I am very familiar in - thanks!
r associations arules market-basket-analysis
asked Nov 19 at 23:20
H.Ford
1
I have the results of survey data in the following format
ResponseID Reason1 Reason2 Reason3 ...
1 'Event' 'Tour' 'Other'
2 'Tour' 'Other'
3 'Event' 'Program'
For each survey respondent they selected the reason for their visit to a park.
I would like to run some association rules on the respondent's answers but I can not figure out how to get the data in the appropriate form
I imagine it would look something like
ResponseID Itemset
1 {'Event','Tour','Other'}
2 {'Tour', 'Other'}
3 {'Event','Program'}
but I have not been able to decipher to documentation of ItemMatrix and R is not a language I am very familiar in - thanks!
r associations arules market-basket-analysis
r associations arules market-basket-analysis
asked Nov 19 at 23:20
H.Ford
1
asked Nov 19 at 23:20
H.Ford
1
asked Nov 19 at 23:20
H.Ford
1
asked Nov 19 at 23:20
H.Ford
1
asked Nov 19 at 23:20
H.Ford
1
1
you can try -apply(df[, 2:4], 1, function(x) paste0(x, collapse = ",")
– Shree
Nov 19 at 23:25
add a comment |
you can try -apply(df[, 2:4], 1, function(x) paste0(x, collapse = ",")
– Shree
Nov 19 at 23:25
you can try -
apply(df[, 2:4], 1, function(x) paste0(x, collapse = ",")– Shree
Nov 19 at 23:25
you can try -
apply(df[, 2:4], 1, function(x) paste0(x, collapse = ",")– Shree
Nov 19 at 23:25
add a comment |
1 Answer
1
active
oldest
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Write the dataframe to a file with write.table and then used read.transactions with format = "basket".
answered 2 days ago
Michael Hahsler
1,9171511
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
Write the dataframe to a file with write.table and then used read.transactions with format = "basket".
answered 2 days ago
Michael Hahsler
1,9171511
add a comment |
Write the dataframe to a file with write.table and then used read.transactions with format = "basket".
answered 2 days ago
Michael Hahsler
1,9171511
add a comment |
Write the dataframe to a file with write.table and then used read.transactions with format = "basket".
answered 2 days ago
Michael Hahsler
1,9171511
Write the dataframe to a file with write.table and then used read.transactions with format = "basket".
answered 2 days ago
Michael Hahsler
1,9171511
answered 2 days ago
Michael Hahsler
1,9171511
answered 2 days ago
Michael Hahsler
1,9171511
answered 2 days ago
Michael Hahsler
1,9171511
1,9171511
add a comment |
add a comment |
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you can try -
apply(df[, 2:4], 1, function(x) paste0(x, collapse = ",")– Shree
Nov 19 at 23:25