You can use the [R programming language](http://en.wikipedia.org/wiki/R_%28programming_language%29).

Here is a quick and dirty R script:

 #! /usr/bin/env Rscript
 d<-scan("stdin", quiet=TRUE)
 cat(min(d), max(d), median(d), mean(d), sep="\n")

Note the `"stdin"` in `scan` which is a special filename to read from standard input (that means from pipes or redirections).

Now you can redirect your data over stdin to the R script:

 $ cat datafile
 1
 2
 4
 $ ./mmmm.r < datafile
 1
 4
 2
 2.333333

Also works for floating points:

 $ cat datafile2
 1.1
 2.2
 4.4
 $ ./mmmm.r < datafile2
 1.1
 4.4
 2.2
 2.566667

If you don't want to write an R script file you can invoke a true one-liner (with linebreak only for readability) in the command line using `Rscript`:

 $ Rscript -e 'd<-scan("stdin", quiet=TRUE)' \
 -e 'cat(min(d), max(d), median(d), mean(d), sep="\n")' < datafile
 1
 4
 2
 2.333333

Read the fine R manuals at http://cran.r-project.org/manuals.html.

Unfortunately the full reference is only available in PDF. Another way to read the reference is by typing `?topicname` in the prompt of an interactive R session.

----
For completeness: there is an R command which outputs all the values you want and more. Unfortunately in a human friendly format which is hard to parse programmatically.

 > summary(c(1,2,4))
 Min. 1st Qu. Median Mean 3rd Qu. Max. 
 1.000 1.500 2.000 2.333 3.000 4.000