terminaldigits (version 0.1.0)

td_uniformity: Test of uniformity of terminal digits

Description

The td_uniformity function tests the uniformity of terminal digits via Pearson's chi-squared test of goodness-of-fit. Rather than relying on the asymptotic approximation to the chi-squared distribution, td_unformity uses the chisq_gof function from the discretefit package to simulate the distribution under the null.

Usage

td_uniformity(x, decimals, reps = 10000, tolerance = 64 * .Machine$double.eps)

Arguments

x

a numeric vector

decimals

an integer specifying the number of decimals. This can be zero if the terminal digit is not a decimal.

reps

a positive integer specifying the number of Monte Carlo simulations. The default is set to 10,000.

tolerance

sets an upper bound for rounding errors when evaluating whether a statistic for a simulation is greater than or equal to the statistic for the observed data. The default is identical to the tolerance set for simulations in the chisq.test function from the stats package in R.

Value

A list containing the following components:

statistic

the value of the test statistic

p_value

the simulated p-value for the test

method

a character string describing the test

data.name

a character string give the name of the data

Examples

# NOT RUN {
td_uniformity(decoy$weight, decimals = 2, reps = 2000)


# }