Data frame writes to a single column in write.csv/write.table R
I'm trying to write a csv file (I would use write.xlsx, but for some reason that was giving me Java memory errors.... no matter, I'll do this instead), but if I used the following data frame:
id <- c(1,2,3,4,5)
email <- c('jim@chase.com','steve@aol.com','stacy@gmail.com/','chris@yahoo.com','emilio@verizon.net/')
sample <- data.frame(id,email)
write.table(sample, 'Me\Raw List.csv',
row.names = TRUE, col.names = TRUE, append = FALSE)
I get the data all in a single-column CSV, along with a row identifier like this:
id "email"
1 1 "jim@chase.com"
2 2 "steve@aol.com"
3 3 "stacy@gmail.com/"
4 4 "chris@yahoo.com"
5 5 "emilio@verizon.net/"
My question is two-part: 1) How do I separate this data into columns; and 2) How do I remove the row identifiers so that I can just use my id?
r export export-to-csv
asked Nov 21 '18 at 15:24
Yehuda
165112
add a comment |
I'm trying to write a csv file (I would use write.xlsx, but for some reason that was giving me Java memory errors.... no matter, I'll do this instead), but if I used the following data frame:
id <- c(1,2,3,4,5)
email <- c('jim@chase.com','steve@aol.com','stacy@gmail.com/','chris@yahoo.com','emilio@verizon.net/')
sample <- data.frame(id,email)
write.table(sample, 'Me\Raw List.csv',
row.names = TRUE, col.names = TRUE, append = FALSE)
I get the data all in a single-column CSV, along with a row identifier like this:
id "email"
1 1 "jim@chase.com"
2 2 "steve@aol.com"
3 3 "stacy@gmail.com/"
4 4 "chris@yahoo.com"
5 5 "emilio@verizon.net/"
My question is two-part: 1) How do I separate this data into columns; and 2) How do I remove the row identifiers so that I can just use my id?
r export export-to-csv
asked Nov 21 '18 at 15:24
Yehuda
165112
add a comment |
I'm trying to write a csv file (I would use write.xlsx, but for some reason that was giving me Java memory errors.... no matter, I'll do this instead), but if I used the following data frame:
id <- c(1,2,3,4,5)
email <- c('jim@chase.com','steve@aol.com','stacy@gmail.com/','chris@yahoo.com','emilio@verizon.net/')
sample <- data.frame(id,email)
write.table(sample, 'Me\Raw List.csv',
row.names = TRUE, col.names = TRUE, append = FALSE)
I get the data all in a single-column CSV, along with a row identifier like this:
id "email"
1 1 "jim@chase.com"
2 2 "steve@aol.com"
3 3 "stacy@gmail.com/"
4 4 "chris@yahoo.com"
5 5 "emilio@verizon.net/"
My question is two-part: 1) How do I separate this data into columns; and 2) How do I remove the row identifiers so that I can just use my id?
r export export-to-csv
asked Nov 21 '18 at 15:24
Yehuda
165112
I'm trying to write a csv file (I would use write.xlsx, but for some reason that was giving me Java memory errors.... no matter, I'll do this instead), but if I used the following data frame:
id <- c(1,2,3,4,5)
email <- c('jim@chase.com','steve@aol.com','stacy@gmail.com/','chris@yahoo.com','emilio@verizon.net/')
sample <- data.frame(id,email)
write.table(sample, 'Me\Raw List.csv',
row.names = TRUE, col.names = TRUE, append = FALSE)
I get the data all in a single-column CSV, along with a row identifier like this:
id "email"
1 1 "jim@chase.com"
2 2 "steve@aol.com"
3 3 "stacy@gmail.com/"
4 4 "chris@yahoo.com"
5 5 "emilio@verizon.net/"
My question is two-part: 1) How do I separate this data into columns; and 2) How do I remove the row identifiers so that I can just use my id?
r export export-to-csv
r export export-to-csv
asked Nov 21 '18 at 15:24
Yehuda
165112
asked Nov 21 '18 at 15:24
Yehuda
165112
asked Nov 21 '18 at 15:24
Yehuda
165112
asked Nov 21 '18 at 15:24
Yehuda
165112
asked Nov 21 '18 at 15:24
Yehuda
165112
165112
add a comment |
add a comment |
1 Answer
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write.table()'s standard separator is " " (check the docs).
Use write.csv() or write.csv2() along with the parameter row.names=False instead.
write.csv(sample,file = "my_dir/my_file.csv", row.names=F)
row.names=F makes that a unique row identifier (basically an id like you have it) will not be written.
You may use write.table() as well but you'll have to pass additional parameters:
write.table(sample, file = "test.csv", row.names=F, sep=",", dec=".")
answered Nov 21 '18 at 15:26
Ben T.
3017
add a comment |
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1 Answer
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write.table()'s standard separator is " " (check the docs).
Use write.csv() or write.csv2() along with the parameter row.names=False instead.
write.csv(sample,file = "my_dir/my_file.csv", row.names=F)
row.names=F makes that a unique row identifier (basically an id like you have it) will not be written.
You may use write.table() as well but you'll have to pass additional parameters:
write.table(sample, file = "test.csv", row.names=F, sep=",", dec=".")
answered Nov 21 '18 at 15:26
Ben T.
3017
add a comment |
write.table()'s standard separator is " " (check the docs).
Use write.csv() or write.csv2() along with the parameter row.names=False instead.
write.csv(sample,file = "my_dir/my_file.csv", row.names=F)
row.names=F makes that a unique row identifier (basically an id like you have it) will not be written.
You may use write.table() as well but you'll have to pass additional parameters:
write.table(sample, file = "test.csv", row.names=F, sep=",", dec=".")
answered Nov 21 '18 at 15:26
Ben T.
3017
add a comment |
write.table()'s standard separator is " " (check the docs).
Use write.csv() or write.csv2() along with the parameter row.names=False instead.
write.csv(sample,file = "my_dir/my_file.csv", row.names=F)
row.names=F makes that a unique row identifier (basically an id like you have it) will not be written.
You may use write.table() as well but you'll have to pass additional parameters:
write.table(sample, file = "test.csv", row.names=F, sep=",", dec=".")
answered Nov 21 '18 at 15:26
Ben T.
3017
write.table()'s standard separator is " " (check the docs).
Use write.csv() or write.csv2() along with the parameter row.names=False instead.
write.csv(sample,file = "my_dir/my_file.csv", row.names=F)
row.names=F makes that a unique row identifier (basically an id like you have it) will not be written.
You may use write.table() as well but you'll have to pass additional parameters:
write.table(sample, file = "test.csv", row.names=F, sep=",", dec=".")
answered Nov 21 '18 at 15:26
Ben T.
3017
edited Nov 21 '18 at 15:32
answered Nov 21 '18 at 15:26
Ben T.
3017
answered Nov 21 '18 at 15:26
Ben T.
3017
answered Nov 21 '18 at 15:26
Ben T.
3017
3017
add a comment |
add a comment |
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