I want to count the number of occurrences of a factor in a data frame. For example, to count the number of events of a given type in the code below:
library(plyr
In data you put your dataframe and into levels your categories.
table(factor(data, levels = 1:5))
Using dplyr library
library(dplyr)
data <- data.frame(level = c('A', 'A', 'B', 'B', 'B', 'C'),
value = c(1:6))
data %>%
group_by(level) %>%
summarize(count = n()) %>%
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If you choose also to perform mean, min, max operations, try this
data %>%
group_by(level) %>%
summarise(count = n(), Max_val = max(value), Min_val = min(value)) %>%
View
Quite similar to @DWin's answer:
> aggregate(quantity~type, events, FUN=sum)
type quantity
1 A 3
2 B 1
3 C 0
You get this for free if you define your events
variable correctly as a factor with the desired three levels:
R> events <- data.frame(type = factor(c('A', 'A', 'B'), c('A','B','C')),
+ quantity = c(1, 2, 1))
R> events
type quantity
1 A 1
2 A 2
3 B 1
R> table(events$type)
A B C
2 1 0
R>
Simply calling table()
on the factor already does the right thing, and ddply()
can too
if you tell it not to drop
:
R> ddply(events, .(type), summarise, quantity = sum(quantity), .drop=FALSE)
type quantity
1 A 3
2 B 1
3 C 0
R>
> xtabs(quantity~type, events)
type
A B C
3 1 0