The Pearson chi-squared test for multinomial probabilities

Source: R/Pearson_chi_squared_test_1xc.R

The Pearson chi-squared test for multinomial probabilities

Described in Chapter 3 "The 1xc Table and the Multinomial Distribution"

Pearson_chi_squared_test_1xc(n, pi0)

Arguments

n

the observed counts (a 1xc vector, where c is the number of categories)

pi0

given probabilities (a 1xc vector)

Value

An object of the contingencytables_result class, basically a subclass of base::list(). Use the utils::str() function to see the specific elements returned.

Examples

# Genotype counts for SNP rs 6498169 in RA patients
Pearson_chi_squared_test_1xc(n = snp6498169$complete$n, pi0 = snp6498169$complete$pi0)
#> The Pearson chi-squared test: P = 0.00321, T = 11.481 (df = 2)
# subset of 10 patients
Pearson_chi_squared_test_1xc(n = snp6498169$subset$n, pi0 = snp6498169$subset$pi0)
#> The Pearson chi-squared test: P = 0.03461, T = 6.727 (df = 2)