Implementation in Python of some of the statistical methods provided by "asurv", the survival analysis software.
A collection of small utilities with a connection to cryptography and cryptanalysis. Written for efficiency and a small memory footprint.
MooGraph is an utility to produce interactive dynamical graphs from statistical data. Deliberately inspired to GapMinder, it represents the evolution of multivariate data in time by means of coloured bubbles of variable sizes on an (x,y) plot.
Creates a data density plot of a 2 dimensional data distribution.
Shows the data density of a 2 dimensional distribution. The problem of showing data density visually is not mathematically well defined, and there are several methods. The program uses sum of reciprocal squared distance to calculate density at each point, with a smear factor to prevent points going to infinity. The smear factor also controls the amount of clustering. There are several options for colour output. Input is via a csv (comma-separated values) file. Now there's a nice GUI built in Baby X for Linux and Windows
snlanalytic is a small Python script that takes a stem-and-leaf plot as input and returns basic statistics (sum, mean, median, mode) to the user.
Command-line tools for simple statistics
statTools contains command-line tools for simple statistics