How to select columns that were not summarise after group_by?
df <- data.frame(a=1:100, b=1:100, c='categorical')
df %>% summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)
Error: `c` must evaluate to column positions or names, not a function
How can I make the above code do what I want, which is to keep c. The value for c will be the same for each group.
r dplyr
asked Jan 18 at 17:42
athletic_coderathletic_coder
1979
add a comment |
df <- data.frame(a=1:100, b=1:100, c='categorical')
df %>% summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)
Error: `c` must evaluate to column positions or names, not a function
How can I make the above code do what I want, which is to keep c. The value for c will be the same for each group.
r dplyr
asked Jan 18 at 17:42
athletic_coderathletic_coder
1979
2
df %>% group_by(c) %>% summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)
– A. S. K.
Jan 18 at 17:46
add a comment |
df <- data.frame(a=1:100, b=1:100, c='categorical')
df %>% summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)
Error: `c` must evaluate to column positions or names, not a function
How can I make the above code do what I want, which is to keep c. The value for c will be the same for each group.
r dplyr
asked Jan 18 at 17:42
athletic_coderathletic_coder
1979
df <- data.frame(a=1:100, b=1:100, c='categorical')
df %>% summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)
Error: `c` must evaluate to column positions or names, not a function
How can I make the above code do what I want, which is to keep c. The value for c will be the same for each group.
r dplyr
r dplyr
asked Jan 18 at 17:42
athletic_coderathletic_coder
1979
asked Jan 18 at 17:42
athletic_coderathletic_coder
1979
asked Jan 18 at 17:42
athletic_coderathletic_coder
1979
asked Jan 18 at 17:42
athletic_coderathletic_coder
1979
asked Jan 18 at 17:42
athletic_coderathletic_coder
1979
1979
2
df %>% group_by(c) %>% summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)
– A. S. K.
Jan 18 at 17:46
add a comment |
2
df %>% group_by(c) %>% summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)
– A. S. K.
Jan 18 at 17:46
2
2
df %>% group_by(c) %>% summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)– A. S. K.
Jan 18 at 17:46
df %>% group_by(c) %>% summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)– A. S. K.
Jan 18 at 17:46
add a comment |
1 Answer
1
active
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votes
If you don't specify it by using group_by, the default behaviour is to summarize and include only what you specify within summarize, so in your code column c doesn't exist. If you specify it as a group, then that column will be included.
library(dplyr)
df <- data.frame(a=1:100, b=1:100, c='categorical')
df %>%
group_by(c) %>%
summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)
#> # A tibble: 1 x 3
#> new_a new_b c
#> <int> <int> <fct>
#> 1 5050 5050 categorical
Created on 2019-01-18 by the reprex package (v0.2.1)
answered Jan 18 at 17:48
Jake KauppJake Kaupp
5,56221428
add a comment |
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1 Answer
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1 Answer
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active
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If you don't specify it by using group_by, the default behaviour is to summarize and include only what you specify within summarize, so in your code column c doesn't exist. If you specify it as a group, then that column will be included.
library(dplyr)
df <- data.frame(a=1:100, b=1:100, c='categorical')
df %>%
group_by(c) %>%
summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)
#> # A tibble: 1 x 3
#> new_a new_b c
#> <int> <int> <fct>
#> 1 5050 5050 categorical
Created on 2019-01-18 by the reprex package (v0.2.1)
answered Jan 18 at 17:48
Jake KauppJake Kaupp
5,56221428
add a comment |
If you don't specify it by using group_by, the default behaviour is to summarize and include only what you specify within summarize, so in your code column c doesn't exist. If you specify it as a group, then that column will be included.
library(dplyr)
df <- data.frame(a=1:100, b=1:100, c='categorical')
df %>%
group_by(c) %>%
summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)
#> # A tibble: 1 x 3
#> new_a new_b c
#> <int> <int> <fct>
#> 1 5050 5050 categorical
Created on 2019-01-18 by the reprex package (v0.2.1)
answered Jan 18 at 17:48
Jake KauppJake Kaupp
5,56221428
add a comment |
If you don't specify it by using group_by, the default behaviour is to summarize and include only what you specify within summarize, so in your code column c doesn't exist. If you specify it as a group, then that column will be included.
library(dplyr)
df <- data.frame(a=1:100, b=1:100, c='categorical')
df %>%
group_by(c) %>%
summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)
#> # A tibble: 1 x 3
#> new_a new_b c
#> <int> <int> <fct>
#> 1 5050 5050 categorical
Created on 2019-01-18 by the reprex package (v0.2.1)
answered Jan 18 at 17:48
Jake KauppJake Kaupp
5,56221428
If you don't specify it by using group_by, the default behaviour is to summarize and include only what you specify within summarize, so in your code column c doesn't exist. If you specify it as a group, then that column will be included.
library(dplyr)
df <- data.frame(a=1:100, b=1:100, c='categorical')
df %>%
group_by(c) %>%
summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)
#> # A tibble: 1 x 3
#> new_a new_b c
#> <int> <int> <fct>
#> 1 5050 5050 categorical
Created on 2019-01-18 by the reprex package (v0.2.1)
answered Jan 18 at 17:48
Jake KauppJake Kaupp
5,56221428
answered Jan 18 at 17:48
Jake KauppJake Kaupp
5,56221428
answered Jan 18 at 17:48
Jake KauppJake Kaupp
5,56221428
answered Jan 18 at 17:48
Jake KauppJake Kaupp
5,56221428
5,56221428
add a comment |
add a comment |
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df %>% group_by(c) %>% summarise(new_a=sum(a), new_b=sum(b)) %>% select(new_a, new_b, c)– A. S. K.
Jan 18 at 17:46