histogramArray: Histogram Array
In iNZightVIT/iNZightRegression: Tools for Exploring Regression Models with 'iNZight'
View source: R/histogramArray.R
histogramArray R Documentation
Histogram Array
Description
Produces an array of histograms to compare against the histogram of
residuals for a fitted linear model.
Usage
histogramArray(x, n = 7, env = parent.frame())
Arguments
x
an lm or svyglm object.
n
the number of additional histograms to plot alongside the original.
env
environment for finding data to bootstrap
Details
The histogram of the model x appears in the top-left
position. For each of the other histograms, the fitted values of
x are taken and normal random errors are added to these. The
normal residual standard errors have standard error equal to the
estimated residual standard error of x. A model is then fitted
to this altered data and a histogram is produced.
Value
No return value, called to generate plot.
Author(s)
David Banks, Tom Elliott
See Also
iNZightQQplot
Examples
histogramArray(lm(Sepal.Length ~ Sepal.Width + Species, data = iris))
iNZightVIT/iNZightRegression documentation built on April 8, 2024, 10:25 a.m.
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View source: R/histogramArray.R
| histogramArray | R Documentation |
Histogram Array
Description
Produces an array of histograms to compare against the histogram of residuals for a fitted linear model.
Usage
histogramArray(x, n = 7, env = parent.frame())
Arguments
x |
an |
n |
the number of additional histograms to plot alongside the original. |
env |
environment for finding data to bootstrap |
Details
The histogram of the model x appears in the top-left
position. For each of the other histograms, the fitted values of
x are taken and normal random errors are added to these. The
normal residual standard errors have standard error equal to the
estimated residual standard error of x. A model is then fitted
to this altered data and a histogram is produced.
Value
No return value, called to generate plot.
Author(s)
David Banks, Tom Elliott
See Also
iNZightQQplot
Examples
histogramArray(lm(Sepal.Length ~ Sepal.Width + Species, data = iris))
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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