Yes, there is no such luxury in the default histogram command.

If we really want to get rid of the outliers in histograms,

we need to either find out a special package which would give you an option for the outliers

or remove the outliers in our data first and then plot it using the default histogram.

Since I cannot recall a specific package, let me introduce a function which removes the outliers in your data:

**remove_outliers <- function(x, na.rm = TRUE, ...) {
**

qnt <- quantile(x, probs=c(.25, .75), na.rm = na.rm, ...)

H <- 1.5 * IQR(x, na.rm = na.rm)

y <- x

y[x < (qnt[1] - H)] <- NA

y[x > (qnt[2] + H)] <- NA

y

}If you run this entire code in RStudio and use it by "out<-remove_outlier(YOUR DATA)",

then "hist(out)" will give you the desired histogram with no outliers.

Lastly, the outlier detection rule used in this code is called "1.5*IQR rule".

You can find an explanation here:

https://www.youtube.com/watch?v=FRlTh5HQORA