stheoreme (version 1.2)

utild1bin: Vector Binarizer

Description

Function utild1bin is applied to a pair of vectors and convert them to the pair of binary arrays with a rule specified by user

Usage

utild1bin(arr0, arr1, method = "mean", trsh = 0, inverted = FALSE, d2=FALSE)

Arguments

arr0

vector of values/outcomes to be binarized

arr1

vector of values/outcomes to be binarized

method

method of setting a threshold:

method='mean' threshold is mean(c(arr0, arr1)) for both arrays (used as default)

method='imean' setting individual thresholds as mean values

method='imed' setting individual thresholds as median values

method='i1stQ' setting individual thresholds as 1st quartile values

method='i3rdQ' setting individual thresholds as 3rd quartile values

method='isubsd' setting individual thresholds as (mean(arrN)-sd(arrN))

method='iaddsd' setting individual thresholds as (mean(arrN)+sd(arrN))

method='med' threshold is median(c(arr0, arr1)) for both arrays

method='med0' threshold is median(c(arr0)) for both arrays

method='med1' threshold is median(c(arr1)) for both arrays

method='mean0' threshold is mean(c(arr0)) for both arrays

method='mean1' threshold is mean(c(arr1)) for both arrays

method='spec' threshold is specified by the 2 numbers of argument trsh individually for arrays

trsh

specifies the individual threshold values for array binarizations when method='spec' is chosen. If it contains one number it will be interpreted as one threshold for both the arrays

inverted

logical item specifying if the result will be inverted (zeros replaced by ones and ones replaced by zeros) after bianrization

d2

works exactly as utild2bin when TRUE

Value

bin0

result of arr0 binarization

bin1

result of arr1 binarization

counts

summary/report of how the arrays were binarized

See Also

utild2bin

Examples

s0<-rep(c(-1,1,3,7,10),2)
s1<-c(1:7)

s0; s1
a<-utild1bin(arr0=s0, arr1=s1); a
a<-utild1bin(s0, s1, method='spec', trsh=c(2,5), inverted=TRUE); a