getBootstrapSamples: computeFactorAnalysisWithBootstrappedCIs
In Timothy-Barry/coproanalysis: Analyze CoPRO and Related Data
Description
Usage
Arguments
Value
View source: R/factorAnalysis.R
Description
computeFactorAnalysisWithBootstrappedCIs
Usage
1
getBootstrapSamples(dat, nFactors, rotation, B = 5000)
Arguments
dat
data frame
nFactors
number of factors
rotation
rotation to use (either a literal matrix or string specifying analytic rotation, such as "varimax")
B
number of bootstrap replicates
alpha
(1-alpha) confidence interval returned
bonferoniCorrect
should bonferoni correction be applied in computing CIs?
Value
A list with two entries. The first is a list containing the bootstrap samples of the factor analysis; the second is a list containing the results of the factor analysis on the entire dataset.
Timothy-Barry/coproanalysis documentation built on Feb. 12, 2020, 7:33 a.m.
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Description Usage Arguments Value
View source: R/factorAnalysis.R
Description
computeFactorAnalysisWithBootstrappedCIs
Usage
1 | getBootstrapSamples(dat, nFactors, rotation, B = 5000)
|
Arguments
dat |
data frame |
nFactors |
number of factors |
rotation |
rotation to use (either a literal matrix or string specifying analytic rotation, such as "varimax") |
B |
number of bootstrap replicates |
alpha |
(1-alpha) confidence interval returned |
bonferoniCorrect |
should bonferoni correction be applied in computing CIs? |
Value
A list with two entries. The first is a list containing the bootstrap samples of the factor analysis; the second is a list containing the results of the factor analysis on the entire dataset.
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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