count rows with conditons on summarise-CodePudding

I am trying to count records on summarize given conditions as the code bellow but it is not working. I am trying to count total rows, not a distinct count.

What am I doing wrong?

library(dplyr)

data %>%
    group_by(UNIT) %>%
    summarize(TOTAL = n(),
              SLA = n(DATETIME[TYPE=='A' || TYPE=='B']))

Appreciate any help

CodePudding user response：

use sum instead of n

library(dplyr)

set.seed(123)

data <- data.frame(
  UNIT = sample(1:3, size = 100, replace = TRUE),
  TYPE = sample(c('A', 'B', 'C'), size = 100, replace = TRUE)
)

head(data)
#>   UNIT TYPE
#> 1    3    C
#> 2    3    B
#> 3    3    B
#> 4    2    C
#> 5    3    A
#> 6    2    A

data %>%
  group_by(UNIT) %>%
  summarise(TOTAL = n(), SLA = sum(TYPE == 'A' | TYPE == 'B'))
#> # A tibble: 3 × 3
#>    UNIT TOTAL   SLA
#>   <int> <int> <int>
#> 1     1    33    22
#> 2     2    32    19
#> 3     3    35    27

^{Created on 2022-02-18 by the reprex package (v2.0.1)}