MyRegression

A simple function on LS linear regression with many informative outputs
7.4K descargas
Actualizado 5 Apr 2018

This function computes a least-square linear regression suppling several output information.
Syntax: myregr(x,y)

Inputs:
X - Array of the independent variable
Y - Dependent variable. If Y is a matrix, the i-th Y row is a
repeated measure of i-th X point. The mean value will be used
verbose - Flag to display all information (default=1)
Outputs:
- Slope with standard error an 95% C.I.
- Intercept with standard error an 95% C.I.
- Pearson's Correlation coefficient with 95% C.I. and its
adjusted form (depending on the elements of X and Y arrays)
- Spearman's Correlation coefficient
- Regression Standard Error
- Total Variability
- Variability due to regression
- Residual Variability
- Student's t-Test on Slope (to check if slope=0)
- Student's t-Test on Intercept (to check if intercept=0)
- Modified Levene's test for homoschedasticity of residuals
- Power of the regression
- Deming's regeression
- a plot with:
o Data points
o Least squares regression line
o Red dotted lines: 95% Confidence interval of regression
o Green dotted lines: 95% Confidence interval of new y
evaluation using this regression.
- Residuals plot

SEE also myregrinv, myregrcomp

Created by Giuseppe Cardillo
giuseppe.cardillo-edta@poste.it

To cite this file, this would be an appropriate format: Cardillo G. (2007) MyRegression: a simple function on LS linear regression with many informative outputs. http://www.mathworks.com/matlabcentral/fileexchange/15473

Citar como

Giuseppe Cardillo (2024). MyRegression (https://github.com/dnafinder/myregr), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2014b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Agradecimientos

Inspirado por: powerStudent

Inspiración para: myregrinv

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No se pueden descargar versiones que utilicen la rama predeterminada de GitHub

Versión Publicado Notas de la versión
2.0.0.0

inputparser; table implementation; github link

1.8.0.0

Deming's regression added

1.7.0.0

fixed a bug in plot computation

1.6.0.0

The modified Levene's test for homoschedasticity of residuals and residuals plot were added

1.5.0.0

Now Y can be a matrix of repeated measures

1.4.0.0

change in description

1.3.0.0

To compute power, Myregr requires powerStudent by Trujillo-Ortiz, A. and R. Hernandez-Walls. If this function is not present on the computer, Sandler try to download it from FEX

1.2.0.0

Changes in description

1.1.0.0

Changes in help section

1.0.0.0

Added PowerStudent to compute the power of t-Student tests on regression parameters.

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.