sums of same string in different row in R
I want calculate of the sum of the same string values. This is my dataset:
trp_str <- structure(
list(
V1 = list(
c("Hll Wallet Moods Choco 10’s Pic",
"Hll Wallet Moods Climaxdelay10’spic",
"Hll Wallet Moods Rose 10’s Pic"),
c("Meninokki Duplex",
"Santhigiri 450 Ml * 12 Nos Carton",
"Santhigiri Dahasanthi Master Carton"),
c("BIG CUP UNIT CARTON",
"Merriboy Big Cup Carton",
"Merriboy Party Cup Carton"),
c("BIG CUP UNIT CARTON",
"Merriboy Big Cup Carton",
"Merriboy Party Cup Carton"),
c("Santhigiri 450 Ml * 12 Nos Carton",
"Santhigiri Dahasanthi Master Carton",
"Meninokki Duplex"),
c("Hll Wallet Moods Choco 10’s Pic",
"Hll Wallet Moods Climaxdelay10’spic",
"Hll Wallet Moods Rose 10’s Pic")
),
V2 = list(
0.0712871287128713,
0.0633663366336634,
0.0475247524752475,
0.0475247524752475,
0.0633663366336634,
0.0712871287128713
)
),
row.names = c(2L, 4L, 8L, 11L, 12L, 13L),
class = "data.frame"
)
i want to get like this:
1 Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton, Meninokki Duplex 0.14257426
2 Meninokki Duplex, Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton 0.06336634
3 BIG CUP UNIT CARTON, Merriboy Big Cup Carton, Merriboy Party Cup Carton 0.0950495
4 Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton, Meninokki Duplex 0.06336634
When I use the following function, R throws an error:
trp_str%>% group_by(V1) %>% summarise(Total = sum(V2)) 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
r
add a comment |
I want calculate of the sum of the same string values. This is my dataset:
trp_str <- structure(
list(
V1 = list(
c("Hll Wallet Moods Choco 10’s Pic",
"Hll Wallet Moods Climaxdelay10’spic",
"Hll Wallet Moods Rose 10’s Pic"),
c("Meninokki Duplex",
"Santhigiri 450 Ml * 12 Nos Carton",
"Santhigiri Dahasanthi Master Carton"),
c("BIG CUP UNIT CARTON",
"Merriboy Big Cup Carton",
"Merriboy Party Cup Carton"),
c("BIG CUP UNIT CARTON",
"Merriboy Big Cup Carton",
"Merriboy Party Cup Carton"),
c("Santhigiri 450 Ml * 12 Nos Carton",
"Santhigiri Dahasanthi Master Carton",
"Meninokki Duplex"),
c("Hll Wallet Moods Choco 10’s Pic",
"Hll Wallet Moods Climaxdelay10’spic",
"Hll Wallet Moods Rose 10’s Pic")
),
V2 = list(
0.0712871287128713,
0.0633663366336634,
0.0475247524752475,
0.0475247524752475,
0.0633663366336634,
0.0712871287128713
)
),
row.names = c(2L, 4L, 8L, 11L, 12L, 13L),
class = "data.frame"
)
i want to get like this:
1 Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton, Meninokki Duplex 0.14257426
2 Meninokki Duplex, Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton 0.06336634
3 BIG CUP UNIT CARTON, Merriboy Big Cup Carton, Merriboy Party Cup Carton 0.0950495
4 Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton, Meninokki Duplex 0.06336634
When I use the following function, R throws an error:
trp_str%>% group_by(V1) %>% summarise(Total = sum(V2)) 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
r
How did your dataset come about?
– sindri_baldur
Nov 21 '18 at 12:46
by select string which have 2 or more in a line
– Kiran Pg
Nov 21 '18 at 12:54
add a comment |
I want calculate of the sum of the same string values. This is my dataset:
trp_str <- structure(
list(
V1 = list(
c("Hll Wallet Moods Choco 10’s Pic",
"Hll Wallet Moods Climaxdelay10’spic",
"Hll Wallet Moods Rose 10’s Pic"),
c("Meninokki Duplex",
"Santhigiri 450 Ml * 12 Nos Carton",
"Santhigiri Dahasanthi Master Carton"),
c("BIG CUP UNIT CARTON",
"Merriboy Big Cup Carton",
"Merriboy Party Cup Carton"),
c("BIG CUP UNIT CARTON",
"Merriboy Big Cup Carton",
"Merriboy Party Cup Carton"),
c("Santhigiri 450 Ml * 12 Nos Carton",
"Santhigiri Dahasanthi Master Carton",
"Meninokki Duplex"),
c("Hll Wallet Moods Choco 10’s Pic",
"Hll Wallet Moods Climaxdelay10’spic",
"Hll Wallet Moods Rose 10’s Pic")
),
V2 = list(
0.0712871287128713,
0.0633663366336634,
0.0475247524752475,
0.0475247524752475,
0.0633663366336634,
0.0712871287128713
)
),
row.names = c(2L, 4L, 8L, 11L, 12L, 13L),
class = "data.frame"
)
i want to get like this:
1 Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton, Meninokki Duplex 0.14257426
2 Meninokki Duplex, Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton 0.06336634
3 BIG CUP UNIT CARTON, Merriboy Big Cup Carton, Merriboy Party Cup Carton 0.0950495
4 Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton, Meninokki Duplex 0.06336634
When I use the following function, R throws an error:
trp_str%>% group_by(V1) %>% summarise(Total = sum(V2)) 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
r
I want calculate of the sum of the same string values. This is my dataset:
trp_str <- structure(
list(
V1 = list(
c("Hll Wallet Moods Choco 10’s Pic",
"Hll Wallet Moods Climaxdelay10’spic",
"Hll Wallet Moods Rose 10’s Pic"),
c("Meninokki Duplex",
"Santhigiri 450 Ml * 12 Nos Carton",
"Santhigiri Dahasanthi Master Carton"),
c("BIG CUP UNIT CARTON",
"Merriboy Big Cup Carton",
"Merriboy Party Cup Carton"),
c("BIG CUP UNIT CARTON",
"Merriboy Big Cup Carton",
"Merriboy Party Cup Carton"),
c("Santhigiri 450 Ml * 12 Nos Carton",
"Santhigiri Dahasanthi Master Carton",
"Meninokki Duplex"),
c("Hll Wallet Moods Choco 10’s Pic",
"Hll Wallet Moods Climaxdelay10’spic",
"Hll Wallet Moods Rose 10’s Pic")
),
V2 = list(
0.0712871287128713,
0.0633663366336634,
0.0475247524752475,
0.0475247524752475,
0.0633663366336634,
0.0712871287128713
)
),
row.names = c(2L, 4L, 8L, 11L, 12L, 13L),
class = "data.frame"
)
i want to get like this:
1 Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton, Meninokki Duplex 0.14257426
2 Meninokki Duplex, Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton 0.06336634
3 BIG CUP UNIT CARTON, Merriboy Big Cup Carton, Merriboy Party Cup Carton 0.0950495
4 Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton, Meninokki Duplex 0.06336634
When I use the following function, R throws an error:
trp_str%>% group_by(V1) %>% summarise(Total = sum(V2)) 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
r
r
edited Nov 21 '18 at 12:48
sindri_baldur
8,1221033
8,1221033
asked Nov 21 '18 at 12:37
Kiran PgKiran Pg
239
239
How did your dataset come about?
– sindri_baldur
Nov 21 '18 at 12:46
by select string which have 2 or more in a line
– Kiran Pg
Nov 21 '18 at 12:54
add a comment |
How did your dataset come about?
– sindri_baldur
Nov 21 '18 at 12:46
by select string which have 2 or more in a line
– Kiran Pg
Nov 21 '18 at 12:54
How did your dataset come about?
– sindri_baldur
Nov 21 '18 at 12:46
How did your dataset come about?
– sindri_baldur
Nov 21 '18 at 12:46
by select string which have 2 or more in a line
– Kiran Pg
Nov 21 '18 at 12:54
by select string which have 2 or more in a line
– Kiran Pg
Nov 21 '18 at 12:54
add a comment |
1 Answer
1
active
oldest
votes
You need to convert V1
into a string and convert V2
into a numeric. So, based on your expected answer you can do the following:
trp_str %>%
mutate( V2 = as.numeric(V2), V1 = sapply(V1, function(x) toString(x)) ) %>%
as_tibble() %>%
group_by(V1) %>%
summarise(sum = sum(V2))
# A tibble: 4 x 2
V1 sum
<chr> <dbl>
1 BIG CUP UNIT CARTON, Merriboy Big Cup Carton, Merriboy Party Cup Carton 0.0950
2 Hll Wallet Moods Choco 10’s Pic, Hll Wallet Moods Climaxdelay10’spic, Hll Wallet Moods Rose 10’s Pic 0.143
3 Meninokki Duplex, Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton 0.0634
4 Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton, Meninokki Duplex 0.0634
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
You need to convert V1
into a string and convert V2
into a numeric. So, based on your expected answer you can do the following:
trp_str %>%
mutate( V2 = as.numeric(V2), V1 = sapply(V1, function(x) toString(x)) ) %>%
as_tibble() %>%
group_by(V1) %>%
summarise(sum = sum(V2))
# A tibble: 4 x 2
V1 sum
<chr> <dbl>
1 BIG CUP UNIT CARTON, Merriboy Big Cup Carton, Merriboy Party Cup Carton 0.0950
2 Hll Wallet Moods Choco 10’s Pic, Hll Wallet Moods Climaxdelay10’spic, Hll Wallet Moods Rose 10’s Pic 0.143
3 Meninokki Duplex, Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton 0.0634
4 Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton, Meninokki Duplex 0.0634
add a comment |
You need to convert V1
into a string and convert V2
into a numeric. So, based on your expected answer you can do the following:
trp_str %>%
mutate( V2 = as.numeric(V2), V1 = sapply(V1, function(x) toString(x)) ) %>%
as_tibble() %>%
group_by(V1) %>%
summarise(sum = sum(V2))
# A tibble: 4 x 2
V1 sum
<chr> <dbl>
1 BIG CUP UNIT CARTON, Merriboy Big Cup Carton, Merriboy Party Cup Carton 0.0950
2 Hll Wallet Moods Choco 10’s Pic, Hll Wallet Moods Climaxdelay10’spic, Hll Wallet Moods Rose 10’s Pic 0.143
3 Meninokki Duplex, Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton 0.0634
4 Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton, Meninokki Duplex 0.0634
add a comment |
You need to convert V1
into a string and convert V2
into a numeric. So, based on your expected answer you can do the following:
trp_str %>%
mutate( V2 = as.numeric(V2), V1 = sapply(V1, function(x) toString(x)) ) %>%
as_tibble() %>%
group_by(V1) %>%
summarise(sum = sum(V2))
# A tibble: 4 x 2
V1 sum
<chr> <dbl>
1 BIG CUP UNIT CARTON, Merriboy Big Cup Carton, Merriboy Party Cup Carton 0.0950
2 Hll Wallet Moods Choco 10’s Pic, Hll Wallet Moods Climaxdelay10’spic, Hll Wallet Moods Rose 10’s Pic 0.143
3 Meninokki Duplex, Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton 0.0634
4 Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton, Meninokki Duplex 0.0634
You need to convert V1
into a string and convert V2
into a numeric. So, based on your expected answer you can do the following:
trp_str %>%
mutate( V2 = as.numeric(V2), V1 = sapply(V1, function(x) toString(x)) ) %>%
as_tibble() %>%
group_by(V1) %>%
summarise(sum = sum(V2))
# A tibble: 4 x 2
V1 sum
<chr> <dbl>
1 BIG CUP UNIT CARTON, Merriboy Big Cup Carton, Merriboy Party Cup Carton 0.0950
2 Hll Wallet Moods Choco 10’s Pic, Hll Wallet Moods Climaxdelay10’spic, Hll Wallet Moods Rose 10’s Pic 0.143
3 Meninokki Duplex, Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton 0.0634
4 Santhigiri 450 Ml * 12 Nos Carton, Santhigiri Dahasanthi Master Carton, Meninokki Duplex 0.0634
answered Nov 21 '18 at 13:47
avenger012avenger012
37319
37319
add a comment |
add a comment |
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How did your dataset come about?
– sindri_baldur
Nov 21 '18 at 12:46
by select string which have 2 or more in a line
– Kiran Pg
Nov 21 '18 at 12:54