The Spearman correlation coefficient with the bias-corrected and accelerated

boostrap confidence interval

Described in Chapter 7 "The rxc Table"

Spearman_correlation_coefficient_rxc_bca(n, nboot = 10000, alpha = 0.05)

Arguments

n: the observed table (an rxc matrix)
nboot: number of bootstrap samples
alpha: the nominal significance level, used to compute a 100(1-alpha) confidence interval

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

set.seed(2921)
Spearman_correlation_coefficient_rxc_bca(table_7.7, nboot = 800)
#> The Spearman correlation w / BCa bootstrap CI: rho = -0.0962 (95% CI -0.1596 to -0.0321)
Spearman_correlation_coefficient_rxc_bca(table_7.8, nboot = 200)
#> The Spearman correlation w / BCa bootstrap CI: rho =  0.6574 (95% CI  0.5234 to  0.7496)
if (FALSE) { # \dontrun{
  Spearman_correlation_coefficient_rxc_bca(table_7.9)
} # }