R Language Aggregating data frames Aggregating with dplyr
Example
Aggregating with dplyr is easy! You can use the group_by() and the summarize() functions for this. Some examples are given below.
CODE:
# Aggregating with dplyr
library(dplyr)
df = data.frame(group=c("Group 1","Group 1","Group 2","Group 2","Group 2"), subgroup = c("A","A","A","A","B"),value = c(2,2.5,1,2,1.5))
print(df)
# sum, grouping by one column
df %>% group_by(group) %>% summarize(value = sum(value)) %>% as.data.frame()
# mean, grouping by one column
df %>% group_by(group) %>% summarize(value = mean(value)) %>% as.data.frame()
# sum, grouping by multiple columns
df %>% group_by(group,subgroup) %>% summarize(value = sum(value)) %>% as.data.frame()
# custom function, grouping by one column
# in this example we want the sum of all values larger than 2 per group.
df %>% group_by(group) %>% summarize(value = sum(value[value>2])) %>% as.data.frame()
OUTPUT:
> library(dplyr)
>
> df = data.frame(group=c("Group 1","Group 1","Group 2","Group 2","Group 2"), subgroup = c("A","A","A","A","B"),value = c(2,2.5,1,2,1.5))
> print(df)
group subgroup value
1 Group 1 A 2.0
2 Group 1 A 2.5
3 Group 2 A 1.0
4 Group 2 A 2.0
5 Group 2 B 1.5
>
> # sum, grouping by one column
> df %>% group_by(group) %>% summarize(value = sum(value)) %>% as.data.frame()
group value
1 Group 1 4.5
2 Group 2 4.5
>
> # mean, grouping by one column
> df %>% group_by(group) %>% summarize(value = mean(value)) %>% as.data.frame()
group value
1 Group 1 2.25
2 Group 2 1.50
>
> # sum, grouping by multiple columns
> df %>% group_by(group,subgroup) %>% summarize(value = sum(value)) %>% as.data.frame()
group subgroup value
1 Group 1 A 4.5
2 Group 2 A 3.0
3 Group 2 B 1.5
>
> # custom function, grouping by one column
> # in this example we want the sum of all values larger than 2 per group.
> df %>% group_by(group) %>% summarize(value = sum(value[value>2])) %>% as.data.frame()
group value
1 Group 1 2.5
2 Group 2 0.0
