aggregation string in R [duplicate]
Multi tool use
This question already has an answer here:
How to sum a variable by group?
13 answers
I have a data frame where one column is string names (v1), and the second column is string values(v2), I would like to aggregate those entries and sum their string values.(V1 and V2 are list)
V1 and V2 are list
trp_str
V1 V2
1 a,x,v 0.07128713
2 b,x,c 0.06336634
3 c,x,v 0.04752475
4 c,x,v 0.04752475
5 d,x,v 0.06336634
6 a,x,v 0.07128713
i want to get like this
V1 V2
1 a,x,v 0.14257426
2 b,x,c 0.06336634
3 c,x,v 0.0950495
4 d,x,v 0.06336634
when i used aggregate(trp_str$V1, by=list(V2=trp_str$V2), FUN=sum) following error occured
Error in aggregate.data.frame(as.data.frame(x), ...) :
arguments must have same length
r
asked Nov 19 '18 at 6:55
Kiran PgKiran Pg
239
marked as duplicate by arvi1000, zx8754 r
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Nov 19 '18 at 7:23
This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
|
show 1 more comment
This question already has an answer here:
How to sum a variable by group?
13 answers
I have a data frame where one column is string names (v1), and the second column is string values(v2), I would like to aggregate those entries and sum their string values.(V1 and V2 are list)
V1 and V2 are list
trp_str
V1 V2
1 a,x,v 0.07128713
2 b,x,c 0.06336634
3 c,x,v 0.04752475
4 c,x,v 0.04752475
5 d,x,v 0.06336634
6 a,x,v 0.07128713
i want to get like this
V1 V2
1 a,x,v 0.14257426
2 b,x,c 0.06336634
3 c,x,v 0.0950495
4 d,x,v 0.06336634
when i used aggregate(trp_str$V1, by=list(V2=trp_str$V2), FUN=sum) following error occured
Error in aggregate.data.frame(as.data.frame(x), ...) :
arguments must have same length
r
asked Nov 19 '18 at 6:55
Kiran PgKiran Pg
239
marked as duplicate by arvi1000, zx8754 r
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Nov 19 '18 at 7:23
This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
1
dput() of sample data
– sai saran
Nov 19 '18 at 6:57
u can directly use aggregate function right?
– sai saran
Nov 19 '18 at 6:58
Pretty sure there are lot of answers for this question already, but you wantaggregate. Or thedplyrpackage (group_by+summarise) or the built-in aggregation capabilities of thedata.tablepackage
– arvi1000
Nov 19 '18 at 7:00
when i used aggregate(trp_str$V1, by=list(V2=trp_str$V2), FUN=sum) following error occured Error in aggregate.data.frame(as.data.frame(x), ...) : arguments must have same length
– Kiran Pg
Nov 19 '18 at 7:09
@KiranPg provide reproducible example. I think you needaggregate(trp_str$V2, by=list(V1=trp_str$V1), FUN=sum)
– zx8754
Nov 19 '18 at 7:30
|
show 1 more comment
This question already has an answer here:
How to sum a variable by group?
13 answers
I have a data frame where one column is string names (v1), and the second column is string values(v2), I would like to aggregate those entries and sum their string values.(V1 and V2 are list)
V1 and V2 are list
trp_str
V1 V2
1 a,x,v 0.07128713
2 b,x,c 0.06336634
3 c,x,v 0.04752475
4 c,x,v 0.04752475
5 d,x,v 0.06336634
6 a,x,v 0.07128713
i want to get like this
V1 V2
1 a,x,v 0.14257426
2 b,x,c 0.06336634
3 c,x,v 0.0950495
4 d,x,v 0.06336634
when i used aggregate(trp_str$V1, by=list(V2=trp_str$V2), FUN=sum) following error occured
Error in aggregate.data.frame(as.data.frame(x), ...) :
arguments must have same length
r
asked Nov 19 '18 at 6:55
Kiran PgKiran Pg
239
This question already has an answer here:
How to sum a variable by group?
13 answers
I have a data frame where one column is string names (v1), and the second column is string values(v2), I would like to aggregate those entries and sum their string values.(V1 and V2 are list)
V1 and V2 are list
trp_str
V1 V2
1 a,x,v 0.07128713
2 b,x,c 0.06336634
3 c,x,v 0.04752475
4 c,x,v 0.04752475
5 d,x,v 0.06336634
6 a,x,v 0.07128713
i want to get like this
V1 V2
1 a,x,v 0.14257426
2 b,x,c 0.06336634
3 c,x,v 0.0950495
4 d,x,v 0.06336634
when i used aggregate(trp_str$V1, by=list(V2=trp_str$V2), FUN=sum) following error occured
Error in aggregate.data.frame(as.data.frame(x), ...) :
arguments must have same length
This question already has an answer here:
How to sum a variable by group?
13 answers
r
r
asked Nov 19 '18 at 6:55
Kiran PgKiran Pg
239
asked Nov 19 '18 at 6:55
Kiran PgKiran Pg
239
edited Nov 19 '18 at 11:40
Kiran Pg
asked Nov 19 '18 at 6:55
Kiran PgKiran Pg
239
asked Nov 19 '18 at 6:55
Kiran PgKiran Pg
239
asked Nov 19 '18 at 6:55
Kiran PgKiran Pg
239
239
marked as duplicate by arvi1000, zx8754 r
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Nov 19 '18 at 7:23
This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
marked as duplicate by arvi1000, zx8754 r
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Nov 19 '18 at 7:23
This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
1
dput() of sample data
– sai saran
Nov 19 '18 at 6:57
u can directly use aggregate function right?
– sai saran
Nov 19 '18 at 6:58
Pretty sure there are lot of answers for this question already, but you wantaggregate. Or thedplyrpackage (group_by+summarise) or the built-in aggregation capabilities of thedata.tablepackage
– arvi1000
Nov 19 '18 at 7:00
when i used aggregate(trp_str$V1, by=list(V2=trp_str$V2), FUN=sum) following error occured Error in aggregate.data.frame(as.data.frame(x), ...) : arguments must have same length
– Kiran Pg
Nov 19 '18 at 7:09
@KiranPg provide reproducible example. I think you needaggregate(trp_str$V2, by=list(V1=trp_str$V1), FUN=sum)
– zx8754
Nov 19 '18 at 7:30
|
show 1 more comment
1
dput() of sample data
– sai saran
Nov 19 '18 at 6:57
u can directly use aggregate function right?
– sai saran
Nov 19 '18 at 6:58
Pretty sure there are lot of answers for this question already, but you wantaggregate. Or thedplyrpackage (group_by+summarise) or the built-in aggregation capabilities of thedata.tablepackage
– arvi1000
Nov 19 '18 at 7:00
when i used aggregate(trp_str$V1, by=list(V2=trp_str$V2), FUN=sum) following error occured Error in aggregate.data.frame(as.data.frame(x), ...) : arguments must have same length
– Kiran Pg
Nov 19 '18 at 7:09
@KiranPg provide reproducible example. I think you needaggregate(trp_str$V2, by=list(V1=trp_str$V1), FUN=sum)
– zx8754
Nov 19 '18 at 7:30
1
1
dput() of sample data
– sai saran
Nov 19 '18 at 6:57
dput() of sample data
– sai saran
Nov 19 '18 at 6:57
u can directly use aggregate function right?
– sai saran
Nov 19 '18 at 6:58
u can directly use aggregate function right?
– sai saran
Nov 19 '18 at 6:58
Pretty sure there are lot of answers for this question already, but you want
aggregate. Or the dplyr package (group_by + summarise) or the built-in aggregation capabilities of the data.table package– arvi1000
Nov 19 '18 at 7:00
Pretty sure there are lot of answers for this question already, but you want
aggregate. Or the dplyr package (group_by + summarise) or the built-in aggregation capabilities of the data.table package– arvi1000
Nov 19 '18 at 7:00
when i used aggregate(trp_str$V1, by=list(V2=trp_str$V2), FUN=sum) following error occured Error in aggregate.data.frame(as.data.frame(x), ...) : arguments must have same length
– Kiran Pg
Nov 19 '18 at 7:09
when i used aggregate(trp_str$V1, by=list(V2=trp_str$V2), FUN=sum) following error occured Error in aggregate.data.frame(as.data.frame(x), ...) : arguments must have same length
– Kiran Pg
Nov 19 '18 at 7:09
@KiranPg provide reproducible example. I think you need
aggregate(trp_str$V2, by=list(V1=trp_str$V1), FUN=sum)– zx8754
Nov 19 '18 at 7:30
@KiranPg provide reproducible example. I think you need
aggregate(trp_str$V2, by=list(V1=trp_str$V1), FUN=sum)– zx8754
Nov 19 '18 at 7:30
|
show 1 more comment
1 Answer
1
active
oldest
votes
This is very simple operation. A lot of it already has been answered on this site
This should work for you
library(dplyr)
df <- data.frame(V1 = c('a,x,v','b,x,c', 'c,x,v', 'c,x,v', 'd,x,v', 'a,x,v'),
V2 = c(0.07128713, 0.06336634, 0.04752475, 0.04752475, 0.06336634,0.07128713))
df %>% group_by(V1) %>% summarise(Total = sum(V2))
Basically, you group by V1 column, then use the summarise function to sum up the values in V2 column. Here, I named the column that holds the sums Total but you can name it whatever you want.
answered Nov 19 '18 at 7:18
Wally AliWally Ali
2,162917
when i apply this show Error in grouped_df_impl(data, unname(vars), drop) : ColumnV1can't be used as a grouping variable because it's a list
– Kiran Pg
Nov 19 '18 at 7:46
if you have your data in a list format, convert it to a dataframe. I thought you said you have a dataframe.
– Wally Ali
Nov 20 '18 at 5:11
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
This is very simple operation. A lot of it already has been answered on this site
This should work for you
library(dplyr)
df <- data.frame(V1 = c('a,x,v','b,x,c', 'c,x,v', 'c,x,v', 'd,x,v', 'a,x,v'),
V2 = c(0.07128713, 0.06336634, 0.04752475, 0.04752475, 0.06336634,0.07128713))
df %>% group_by(V1) %>% summarise(Total = sum(V2))
Basically, you group by V1 column, then use the summarise function to sum up the values in V2 column. Here, I named the column that holds the sums Total but you can name it whatever you want.
answered Nov 19 '18 at 7:18
Wally AliWally Ali
2,162917
when i apply this show Error in grouped_df_impl(data, unname(vars), drop) : ColumnV1can't be used as a grouping variable because it's a list
– Kiran Pg
Nov 19 '18 at 7:46
if you have your data in a list format, convert it to a dataframe. I thought you said you have a dataframe.
– Wally Ali
Nov 20 '18 at 5:11
add a comment |
This is very simple operation. A lot of it already has been answered on this site
This should work for you
library(dplyr)
df <- data.frame(V1 = c('a,x,v','b,x,c', 'c,x,v', 'c,x,v', 'd,x,v', 'a,x,v'),
V2 = c(0.07128713, 0.06336634, 0.04752475, 0.04752475, 0.06336634,0.07128713))
df %>% group_by(V1) %>% summarise(Total = sum(V2))
Basically, you group by V1 column, then use the summarise function to sum up the values in V2 column. Here, I named the column that holds the sums Total but you can name it whatever you want.
answered Nov 19 '18 at 7:18
Wally AliWally Ali
2,162917
when i apply this show Error in grouped_df_impl(data, unname(vars), drop) : ColumnV1can't be used as a grouping variable because it's a list
– Kiran Pg
Nov 19 '18 at 7:46
if you have your data in a list format, convert it to a dataframe. I thought you said you have a dataframe.
– Wally Ali
Nov 20 '18 at 5:11
add a comment |
This is very simple operation. A lot of it already has been answered on this site
This should work for you
library(dplyr)
df <- data.frame(V1 = c('a,x,v','b,x,c', 'c,x,v', 'c,x,v', 'd,x,v', 'a,x,v'),
V2 = c(0.07128713, 0.06336634, 0.04752475, 0.04752475, 0.06336634,0.07128713))
df %>% group_by(V1) %>% summarise(Total = sum(V2))
Basically, you group by V1 column, then use the summarise function to sum up the values in V2 column. Here, I named the column that holds the sums Total but you can name it whatever you want.
answered Nov 19 '18 at 7:18
Wally AliWally Ali
2,162917
This is very simple operation. A lot of it already has been answered on this site
This should work for you
library(dplyr)
df <- data.frame(V1 = c('a,x,v','b,x,c', 'c,x,v', 'c,x,v', 'd,x,v', 'a,x,v'),
V2 = c(0.07128713, 0.06336634, 0.04752475, 0.04752475, 0.06336634,0.07128713))
df %>% group_by(V1) %>% summarise(Total = sum(V2))
Basically, you group by V1 column, then use the summarise function to sum up the values in V2 column. Here, I named the column that holds the sums Total but you can name it whatever you want.
answered Nov 19 '18 at 7:18
Wally AliWally Ali
2,162917
answered Nov 19 '18 at 7:18
Wally AliWally Ali
2,162917
answered Nov 19 '18 at 7:18
Wally AliWally Ali
2,162917
answered Nov 19 '18 at 7:18
Wally AliWally Ali
2,162917
2,162917
when i apply this show Error in grouped_df_impl(data, unname(vars), drop) : ColumnV1can't be used as a grouping variable because it's a list
– Kiran Pg
Nov 19 '18 at 7:46
if you have your data in a list format, convert it to a dataframe. I thought you said you have a dataframe.
– Wally Ali
Nov 20 '18 at 5:11
add a comment |
when i apply this show Error in grouped_df_impl(data, unname(vars), drop) : ColumnV1can't be used as a grouping variable because it's a list
– Kiran Pg
Nov 19 '18 at 7:46
if you have your data in a list format, convert it to a dataframe. I thought you said you have a dataframe.
– Wally Ali
Nov 20 '18 at 5:11
when i apply this show Error in grouped_df_impl(data, unname(vars), drop) : Column
V1 can't be used as a grouping variable because it's a list– Kiran Pg
Nov 19 '18 at 7:46
when i apply this show Error in grouped_df_impl(data, unname(vars), drop) : Column
V1 can't be used as a grouping variable because it's a list– Kiran Pg
Nov 19 '18 at 7:46
if you have your data in a list format, convert it to a dataframe. I thought you said you have a dataframe.
– Wally Ali
Nov 20 '18 at 5:11
if you have your data in a list format, convert it to a dataframe. I thought you said you have a dataframe.
– Wally Ali
Nov 20 '18 at 5:11
add a comment |
Xwe9pspqD,m9433Skf0occN9f,dfDToO3yxqt,70Yn6UDUOcq
1
dput() of sample data
– sai saran
Nov 19 '18 at 6:57
u can directly use aggregate function right?
– sai saran
Nov 19 '18 at 6:58
Pretty sure there are lot of answers for this question already, but you want
aggregate. Or thedplyrpackage (group_by+summarise) or the built-in aggregation capabilities of thedata.tablepackage– arvi1000
Nov 19 '18 at 7:00
when i used aggregate(trp_str$V1, by=list(V2=trp_str$V2), FUN=sum) following error occured Error in aggregate.data.frame(as.data.frame(x), ...) : arguments must have same length
– Kiran Pg
Nov 19 '18 at 7:09
@KiranPg provide reproducible example. I think you need
aggregate(trp_str$V2, by=list(V1=trp_str$V1), FUN=sum)– zx8754
Nov 19 '18 at 7:30