iNZightQQplot: iNZight QQ Plot
In iNZightVIT/iNZightRegression: Tools for Exploring Regression Models with 'iNZight'
View source: R/iNZightQQplot.R
iNZightQQplot R Documentation
iNZight QQ Plot
Description
Produces a sample of QQ-plots based on the fitted values, overlaid by
a QQ-plot of the original data.
Usage
iNZightQQplot(x, n = 5, env = parent.frame())
Arguments
x
an lm or svyglm object (with family = "Gaussian".
n
the number of sampled QQ plots to produce beneath the QQ plot of
x.
env
environment for finding data to bootstrap
Details
Multiple bootstrap models are generated from the fitted values of
the model, each with different random normal errors with standard
error equal to the estimated residual standard error from the
original model. These are plotted, and then overlaid by the QQ plot
from the original data.
This plot can be used to assess the assumption of normality in the
residuals for a linear regression model.
Value
No return value, called to produce plot.
Author(s)
David Banks, Tom Elliott
See Also
histogramArray
Examples
fit <- lm(Volume ~ Height + Girth, data = trees)
iNZightQQplot(fit)
iNZightVIT/iNZightRegression documentation built on April 8, 2024, 10:25 a.m.
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View source: R/iNZightQQplot.R
| iNZightQQplot | R Documentation |
iNZight QQ Plot
Description
Produces a sample of QQ-plots based on the fitted values, overlaid by a QQ-plot of the original data.
Usage
iNZightQQplot(x, n = 5, env = parent.frame())
Arguments
x |
an |
n |
the number of sampled QQ plots to produce beneath the QQ plot of
|
env |
environment for finding data to bootstrap |
Details
Multiple bootstrap models are generated from the fitted values of
the model, each with different random normal errors with standard
error equal to the estimated residual standard error from the
original model. These are plotted, and then overlaid by the QQ plot
from the original data.
This plot can be used to assess the assumption of normality in the
residuals for a linear regression model.
Value
No return value, called to produce plot.
Author(s)
David Banks, Tom Elliott
See Also
histogramArray
Examples
fit <- lm(Volume ~ Height + Girth, data = trees)
iNZightQQplot(fit)
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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