scenfire (version 0.1.0)

fit_powerlaw: Function to build power law distribution to fit a theortical target histogram

Description

Generates random numbers that follow a truncated power-law distribution. This function uses the inverse cumulative distribution function (CDF) to sample from the specified power-law within given minimum and maximum bounds.

Usage

fit_powerlaw(n = 100, alpha = 1.5, xmin, xmax)

Value

A numeric vector of `n` random variates sampled from the truncated power-law distribution.

Arguments

n

The number of random variates (points) to generate (default 100).

alpha

The exponent (alpha parameter) of the power-law distribution (default 1.5).

xmin

The lower bound (minimum value) of the truncated distribution.

xmax

The upper bound (maximum value) of the truncated distribution.

Examples

# Generate 100 random numbers from a power-law distribution
# with alpha=2.5, xmin=10, xmax=1000
set.seed(123)
powerlaw_samples <- fit_powerlaw(n = 100, alpha = 2.5, xmin = 10, xmax = 1000)
# hist(powerlaw_samples, main = "Power-Law Distribution Samples")