Description Usage Arguments Details Value See Also Examples

Maps a numeric variable to a 0-1 scale such that values at the ends of the distribution are desirable.

1 |

`x` |
Vector of numeric or integer values. |

`cut1, cut2, cut3, cut4` |
Values of the original data that define where the desirability function changes. |

`des.min, des.max` |
Minimum and maximum desirability values. Defaults to zero and one, respectively. |

`scale` |
Controls how steeply the function increases or decreases. |

Values less than `cut1`

and greater than `cut4`

will have
a high desirability. Values between `cut2`

and `cut3`

will have a
low desirability. Values between `cut1`

and `cut2`

and between
`cut3`

and `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
interest.

Numeric vector of desirability values.

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
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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