HistDif: Customizes the positions of legend and p value in a histogram

In dstgithub/GrpString: Patterns and Statistical Differences Between Two Groups of Strings

Description

The positions of legend and p value in the histogram generated from function StrDif may not be ideal for different (permutations on differences of normalized Levenshtein distances) situations. HistDif customizes the positions of legend and p value in the histogram of the statistical difference of two groups of strings.

Usage

HistDif(dif.vec, obsDif, pvalue, o.x = 0.01, o.y = 0, p.x = 0.015, p.y = 0)

Arguments

dif.vec	Vector containing differences of normalized Levenshtein differences (LD) from the permutation test.
obsDif	The "observed" or original difference between between-group and within-group normalized LD.
pvalue	p value of the permutation test.
o.x	x coordinate of the legend in the histogram, default is 0.01.
o.y	y coordinate of the legend in the histogram, default is 0.
p.x	x coordinate of the p value in the histogram, default is 0.015.
p.y	y coordinate of the p value in the histogram, default is 0.

Details

The default values of o.y and p.y are 0. They are actually related to the number of permutations (num_perm): o.y is above 0.2 * num_perm, and p.y is below 0.2 * num_perm. If non-default values are used, the values become absolute y coordinates.

See Also

StrDif

Examples

# simple example, use the vectors of ld difference values obtained from StrDif
strs1.vec <- c("ABCDdefABCDa", "def123DC", "123aABCD", "ACD13", "AC1ABC", "3123fe")
strs2.vec <- c("xYZdkfAxDa", "ef1563xy", "BC9Dzy35X", "AkeC1fxz", "65CyAdC", "Dfy3f69k")
ld.dif.vec <- StrDif(strs1.vec, strs2.vec, num_perm = 500, p.x = 0.025)
HistDif(dif.vec = ld.dif.vec, obsDif = 0.00751, pvalue = 0.35600, 
        o.x = 0.025, p.x = 0.040, p.y = 75)

dstgithub/GrpString documentation built on May 15, 2019, 4:49 p.m.