dlfc: The log2 fold change distribution

In erhard-lab/lfc: Log Fold Change Distribution Tools for Working with Ratios of Counts

The log2 fold change distribution

Description

Density, distribution function, quantile function and random generation for the log2 fold change distribution with parameters ‘a’ and ‘b’ (corresponding to (pseudo-)counts incremented by 1).

Usage

dlfc(x, a, b, log = FALSE)

plfc(q, a, b, lower.tail = TRUE, log.p = FALSE)

qlfc(p, a, b, lower.tail = TRUE, log.p = FALSE)

rlfc(n, a, b)

Arguments

x, q	vector of quantiles
a	non-negative parameter
b	non-negative parameter
log, log.p	if TRUE, probabilities p are given as log(p)
lower.tail	if TRUE (default), probabilities are P[X <= x], otherwise, P[X > x].
p	vector of probabilities
n	number of observations

Value

The density

Functions

• dlfc(): Density function

• plfc(): Distribution function

• qlfc(): Quantile function

• rlfc(): random generation

Examples

x <- seq (-5,5,by=0.01)
plot(x,dlfc(x,1,1))

erhard-lab/lfc documentation built on April 25, 2023, 6:59 a.m.