Calculate IQR for selected observations

Question

I have the following data and I would like to calculate IQR for only for those whose sex is equal to 1.

I have tried

if(Agogo$sex_2015==2) { IQR(Agogo$bmi) }

Is there any way to do this using ifelse or any other condition?

library(tidyverse) df %>% filter(sex == 1) %>% summarise(quantile(bmi,.25)) — Dasr, Aug 11 '22 at 12:49
@Dasr is there any benefit to use `tidyverse` to calculate IQR just for `bmi`? (Unless the OP want to get IQRs for multiple columns at the same time, `summarise(across(...))` is a nice choice) Btw, what you suggest is just the first quartile, not IQR... — Darren Tsai, Aug 11 '22 at 12:59
Fair enough.....it wasn't an answer, just suggestion. Can easily be modified with additional arguments. Also, my preference is tidyverse for this type of thing, there are thousands of ways to go about it. — Dasr, Aug 11 '22 at 13:06

score 0 · Answer 1 · answered Aug 11 '22 at 12:53

0

I'm assuming you want the get IQR of bmi

library(dplyr)
bmi<- sample(100,10)
edu_mo<-sample(50,10)
sex<-sample(2,10,replace= TRUE)

n<-data.frame(bmi,edu_mo,sex)

n %>% 
  filter(sex == 1) %>% 
  summarize(IQR = IQR(bmi))

answered Aug 11 '22 at 12:53

Fatih Aslan

108
3

Calculate IQR for selected observations

1 Answers1