see.lmr.tck: Regression linear model derivation from linear algebra
In asbio: A Collection of Statistical Tools for Biologists
see.lmr.tck R Documentation
Regression linear model derivation from linear algebra
Description
Given Y and X matrices a regression linear model is demonstrated using matrix algebra.
Usage
see.lmr.tck()
pm1(Y, X, sz=1, showXY = TRUE)
Arguments
Y
Response variable
X
Explanatory variables
sz
Text expansion factor
showXY
Logical, indicating whether or not X and Y matrices should be shown.
Details
X requires a Y intercept variable X_0 and at least one other variable.
Author(s)
Ken Aho
See Also
lm
asbio documentation built on Aug. 20, 2023, 9:07 a.m.
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| see.lmr.tck | R Documentation |
Regression linear model derivation from linear algebra
Description
Given Y and X matrices a regression linear model is demonstrated using matrix algebra.
Usage
see.lmr.tck()
pm1(Y, X, sz=1, showXY = TRUE)
Arguments
Y |
Response variable |
X |
Explanatory variables |
sz |
Text expansion factor |
showXY |
Logical, indicating whether or not X and Y matrices should be shown. |
Details
X requires a Y intercept variable X_0 and at least one other variable.
Author(s)
Ken Aho
See Also
lm
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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