Maps a numeric variable to a 0-1 scale such that values at the ends of the distribution are desirable.
Vector of numeric or integer values.
Values of the original data that define where the desirability function changes.
Minimum and maximum desirability values. Defaults to zero and one, respectively.
Controls how steeply the function increases or decreases.
Values less than
cut1 and greater than
cut4 will have
a high desirability. Values between
cut3 will have a
low desirability. Values between
cut2 and between
cut4 will have intermediate values. This function is
useful when the data represent differences between groups; for example, log2
fold-changes in gene expression. In this case, both high an low values are of
Numeric vector of desirability values.
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set.seed(1) x <- rnorm(1000, mean=100, sd =5) # generate data d <- d.ends(x, cut1=90, cut2=95, cut3=105, cut4=110, scale=1) # plot data hist(x, breaks=30) # add line des.line(x, "d.ends", des.args=c(cut1=90, cut2=95, cut3=105, cut4=110, scale=1)) hist(x, breaks=30) des.line(x, "d.ends", des.args=c(cut1=90, cut2=95, cut3=105, cut4=110, des.min=0.1, des.max=0.95, scale=1.5))
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