Nothing
#############################################################################################################
# Authors:
# This function was borrowed from the package caret nzv.R with some enhancements made by
# Florian Rohart, The University of Queensland, The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD
# Benoit Gautier, The University of Queensland, The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD
#
# created: 2014
# last modified: 12-04-2016
#
# Copyright (C) 2014
#
# 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, write to the Free Software
# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
#############################################################################################################
# --------------------------------------
# nearZeroVar
# --------------------------------------
nearZeroVar = function (x, freqCut = 95/5, uniqueCut = 10)
{
if (is.vector(x))
x = matrix(x, ncol = 1)
freqRatio = apply(x, 2, function(data)
{
data = na.omit(data)
if (length(unique(data)) == length(data))
{ # No duplicate
return(1)
} else if (length(unique(data)) == 1) { # Same value
return(0)
} else {
t = table(data)
return(max(t, na.rm = TRUE)/max(t[-which.max(t)], na.rm = TRUE))
}
})
lunique = apply(x, 2, function(data) length(unique(data[!is.na(data)])))
percentUnique = 100 * lunique/nrow(x)
zeroVar = (lunique == 1) | apply(x, 2, function(data) all(is.na(data)))
out = list()
out$Position = which((freqRatio > freqCut & percentUnique <= uniqueCut) | zeroVar)
names(out$Position) = NULL
out$Metrics = data.frame(freqRatio = freqRatio, percentUnique = percentUnique)
out$Metrics = out$Metrics[out$Position, ]
return(out)
}
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