compute IQR for each column in data.frame

Question

I am quite new to R therefor my question might be quite basic but searching through the forum I haven't really found the write answer. I have a data.frame of 24 variables and after computing the mean for each column I would like to calculate the IQR(0.25 and 0.75) for every column.

As far as I understood I have to transform the df in a matrix for IQR which I have done, and tried several options with do.call or apply but don't really manage.

Any help would be much appreciated!

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I suggest that the next time you try a better search. I found the duplicate with `[r] IQR columns" — IRTFM, Mar 19 '18 at 19:37

score 2 · Answer 1 · answered Mar 19 '18 at 16:00

2

Try to adapt this code:

df<-data.frame(a=runif(100,10,20),
               b=runif(100,23,23))
lapply(df,quantile,probs=c(0.25,0.75))
$a
     25%      75% 
12.31132 17.72699 

$b
25% 75% 
 23  23

answered Mar 19 '18 at 16:00

Terru_theTerror

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There is an IQR function in the base `stats` package. – IRTFM Mar 19 '18 at 19:35

score 0 · Answer 2 · answered Mar 19 '18 at 16:11

0

Summary gives you the mean, quartiles, extreme values for each columns

df<-data.frame(a=runif(100,10,20),
               b=runif(100,23,23))
summary(df)

answered Mar 19 '18 at 16:11

Frostic

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compute IQR for each column in data.frame

2 Answers2