scipy tutorial - Baustatik-Info-Server

SciPy Reference Guide, Release 0.8.dev
References
http://www.childrens-mercy.org/stats/definitions/biserial.htm
kendalltau(x, y)
Calculates Kendall’s tau, a correlation measure for ordinal data
Kendall’s tau is a measure of the correspondence between two rankings. Values close to 1 indicate strong
agreement, values close to -1 indicate strong disagreement. This is the tau-b version of Kendall’s tau which
accounts for ties.
Parameters
x : array_like
array of rankings
y : array_like
second array of rankings, must be the same length as x
Returns
Kendall’s tau : float
The tau statistic
p-value : float
linregress(*args)
Calculate a regression line
The two-sided p-value for a hypothesis test whose null hypothesis is an absence of
association, tau = 0.
This computes a least-squares regression for two sets of measurements.
Parameters
x, y : array_like
Returns
slope : float
two sets of measurements. Both arrays should have the same length. If only x is
given, then it must be a two-dimensional array where one dimension has length 2.
The two sets of measurements are then found by splitting the array along the length-2
dimension.
slope of the regression line
intercept : float
intercept of the regression line
p-value : float
two-sided p-value for a hypothesis test whose null hypothesis is that the slope is zero.
stderr : float
Standard error of the estimate
654 Chapter 3. Reference