#
# Copyright (C) 2013-2022 University of Amsterdam
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# This is a generated file. Don't change it
CorrelationBayesian <- function(
data = NULL,
version = "0.18.2",
alternative = "twoSided",
bayesFactorReport = TRUE,
bayesFactorType = "BF10",
bfRobustnessPlot = FALSE,
bfRobustnessPlotAdditionalInfo = TRUE,
bfSequentialPlot = FALSE,
bfSequentialPlotAdditionalInfo = TRUE,
ci = FALSE,
ciLevel = 0.95,
kendall = FALSE,
matrixPlot = FALSE,
matrixPlotDensity = FALSE,
matrixPlotPosterior = FALSE,
naAction = "pairwise",
pairsMethod = "pearson",
pairwiseDisplay = FALSE,
pearson = TRUE,
plotHeight = 320,
plotWidth = 480,
posteriorMedian = FALSE,
priorPosteriorPlot = FALSE,
priorPosteriorPlotAdditionalEstimationInfo = TRUE,
priorPosteriorPlotAdditionalTestingInfo = TRUE,
priorWidth = "1.0",
sampleSize = FALSE,
scatterPlot = TRUE,
scatterPlotAdditionalInfo = FALSE,
seed = 1,
setSeed = FALSE,
spearman = FALSE,
supportCorrelationFlagged = FALSE,
variablePairs = list(),
variables = list()) {
defaultArgCalls <- formals(jaspRegression::CorrelationBayesian)
defaultArgs <- lapply(defaultArgCalls, eval)
options <- as.list(match.call())[-1L]
options <- lapply(options, eval)
defaults <- setdiff(names(defaultArgs), names(options))
options[defaults] <- defaultArgs[defaults]
options[["data"]] <- NULL
options[["version"]] <- NULL
optionsWithFormula <- c("variablePairs", "variables")
for (name in optionsWithFormula) {
if ((name %in% optionsWithFormula) && inherits(options[[name]], "formula")) options[[name]] = jaspBase::jaspFormula(options[[name]], data) }
return(jaspBase::runWrappedAnalysis("jaspRegression::CorrelationBayesian", data, options, version))
}
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