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## SimilaR package for R
## Copyright (C) 2018-2020 by M. Bartoszuk, M. Gagolewski
##
## 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 3 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/>.
SimilaR_general <- function(parsess,
sums,
functionNames,
returnType = c("data.frame", "matrix"),
aggregation = c("sym", "tnorm", "both"))
{
kernel2_ret <- checkPlagiarism_gplag_cpp_list_kernel2_test(parsess, h=2, sums)
kernel2_matrix <- makePrettyMatrix(kernel2_ret[[ifelse(aggregation=="sym", 2, 1)]], functionNames)
if(aggregation=="tnorm")
{
kernel2_matrix <- makeMMatrix(kernel2_matrix)
}
if(returnType=="matrix")
{
return(kernel2_matrix)
}
functionNames <- colnames(kernel2_matrix)
if(aggregation=="sym" || aggregation=="tnorm")
{
dataFrameWithoutAssessment <- generateDataFrame_one_rcpp(
kernel2_matrix,
functionNames
)
}
else if(aggregation=="both")
{
dataFrameWithoutAssessment <- generateDataFrame_one_both_rcpp(
kernel2_matrix,
functionNames
)
}
SimilarVector <- if(aggregation=="sym" || aggregation=="tnorm"){dataFrameWithoutAssessment$SimilaR}else{dataFrameWithoutAssessment$SimilaR12 + dataFrameWithoutAssessment$SimilaR21}
threshold <- ifelse(aggregation=="sym" || aggregation=="tnorm", 0.71, 1.42)
dataFrameWithAssessment <- cbind(dataFrameWithoutAssessment,decision=ifelse(SimilarVector >= threshold, 1, 0))
dataFrameWithAssessment <- dataFrameWithAssessment[!is.na(dataFrameWithoutAssessment[,3]),]
SimilarVector <- SimilarVector[!is.na(dataFrameWithoutAssessment[,3])]
dataFrameWithAssessment <- dataFrameWithAssessment[order(SimilarVector,decreasing = TRUE),]
dataFrameWithAssessment
}
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