I often find myself with a file that has one number per line. I end up importing it in excel to view things like median, standard deviation and so forth.
Is there a
This is a breeze with R. For a file that looks like this:
1
2
3
4
5
6
7
8
9
10
Use this:
R -q -e "x <- read.csv('nums.txt', header = F); summary(x); sd(x[ , 1])"
To get this:
V1
Min. : 1.00
1st Qu.: 3.25
Median : 5.50
Mean : 5.50
3rd Qu.: 7.75
Max. :10.00
[1] 3.02765
-q flag squelches R's startup licensing and help output-e flag tells R you'll be passing an expression from the terminalx is a data.frame - a table, basically. It's a structure that accommodates multiple vectors/columns of data, which is a little peculiar if you're just reading in a single vector. This has an impact on which functions you can use.summary(), naturally accommodate data.frames. If x had multiple fields, summary() would provide the above descriptive stats for each.sd() can only take one vector at a time, which is why I index x for that command (x[ , 1] returns the first column of x). You could use apply(x, MARGIN = 2, FUN = sd) to get the SDs for all columns.