bootViz: Produce visualizations for boostrap results
In alanhuebner10/Gboot: Compute bootstrap confidence intervals for G-theory variance components and reliability coefficients
Description
Usage
Arguments
Value
Examples
Description
This function creates histograms or density plots for results from CalcGTheoryCI
Usage
1
Arguments
.result
A matrix returned from CalcGTheoryCI.
type
Visualization produced: histogram or density plot. Defaults to histogram.
bins
The number of bins for histograms
Value
A ggplot object containing small multiples.
Examples
1
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## Not run:
data("Brennan.3.1")
set.seed(123)
test_boot <- CalcGTheoryCI(Data = Brennan.3.1, B = 1000, type = "pi")
bootViz(test_boot, type = "density")
## End(Not run)
alanhuebner10/Gboot documentation built on Sept. 4, 2020, 9:51 p.m.
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Description Usage Arguments Value Examples
Description
This function creates histograms or density plots for results from CalcGTheoryCI
Usage
1 |
Arguments
.result |
A matrix returned from CalcGTheoryCI. |
type |
Visualization produced: histogram or density plot. Defaults to histogram. |
bins |
The number of bins for histograms |
Value
A ggplot object containing small multiples.
Examples
1 2 3 4 5 6 7 | ## Not run:
data("Brennan.3.1")
set.seed(123)
test_boot <- CalcGTheoryCI(Data = Brennan.3.1, B = 1000, type = "pi")
bootViz(test_boot, type = "density")
## End(Not run)
|
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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