jcreg_dfbetas: Matrix of DFBETAS Plots
In mtnbikerjoshua/jcreg: Linear Regression Tools For Easy Plots
Description
Usage
Arguments
Value
Examples
View source: R/assumption_checking.R
Description
For each predictor variable, plots the DFBETAS against observation number.
Usage
1
jcreg_dfbetas(model, nLabels = 3)
Arguments
model
A linear regression model of class stats::lm.
nLabels
The number of potential influential points to label. Defaults
to 3. A value of 0 means do not label potential influential points. There
is currently a bug where it always labels at least one point.
Value
Returns a gridExtra object with class "gtable", "gTree", "grob", and
"gDesc".
Examples
1
jcreg_dfbetas(lm(brozek ~ ., data = bodyfat), nLabels = 2)
mtnbikerjoshua/jcreg documentation built on April 18, 2021, 10:01 p.m.
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Description Usage Arguments Value Examples
View source: R/assumption_checking.R
Description
For each predictor variable, plots the DFBETAS against observation number.
Usage
1 | jcreg_dfbetas(model, nLabels = 3)
|
Arguments
model |
A linear regression model of class |
nLabels |
The number of potential influential points to label. Defaults to 3. A value of 0 means do not label potential influential points. There is currently a bug where it always labels at least one point. |
Value
Returns a gridExtra object with class "gtable", "gTree", "grob", and "gDesc".
Examples
1 | jcreg_dfbetas(lm(brozek ~ ., data = bodyfat), nLabels = 2)
|
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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