Chi squared test. More...
#include <yat/statistics/Chi2.h>
Public Member Functions | |
| unsigned int | dof (void) const |
| const utility::Matrix & | expected (void) const |
| double | p_value (void) const |
| double | p_value (size_t N) const |
| double | operator() (void) |
| double | operator() (const utility::MatrixBase &data) |
Detailed Description
Chi squared test.
- Since
- New in yat 0.16
Member Function Documentation
◆ dof()
| unsigned int theplu::yat::statistics::Chi2::dof | ( | void | ) | const |
- Returns
- degrees of freedom
◆ expected()
| const utility::Matrix& theplu::yat::statistics::Chi2::expected | ( | void | ) | const |
The expected value in element ij is calculated as sum of values in row i times sum of values in column j divided by total sum of values.
- Returns
- expected values if there is no association between row and column
◆ operator()() [1/2]
| double theplu::yat::statistics::Chi2::operator() | ( | void | ) |
- Returns
- Chi2 sum calculated previously calling operator(void)
◆ operator()() [2/2]
| double theplu::yat::statistics::Chi2::operator() | ( | const utility::MatrixBase & | data | ) |
Sum is calculated as
where is X is data and E is matrix with expected values (see expected(void));
- Returns
- Chi2 sum
◆ p_value() [1/2]
| double theplu::yat::statistics::Chi2::p_value | ( | void | ) | const |
- Returns
- two-sided p-value
◆ p_value() [2/2]
| double theplu::yat::statistics::Chi2::p_value | ( | size_t | N | ) | const |
Randomise the data such that row sums and column sums are conserved and calculate chi-squared. Return fraction of time the randomised chi-squared is greater (or equal) than the chi-squared calculated on original data.
- Parameters
-
N number of randomisations
Complexity: N x M, where M is total number of samples
The documentation for this class was generated from the following file:
- yat/statistics/Chi2.h
