Pearson_correlation_coefficient_rxc_bca {contingencytables} | R Documentation |
The Pearson correlation coefficient with the bias-corrected and accelerated
Description
The Pearson correlation coefficient with the bias-corrected and accelerated
boostrap confidence interval
Described in Chapter 7 "The rxc Table"
Usage
Pearson_correlation_coefficient_rxc_bca(
n,
nboot = 10000,
a = seq_len(nrow(n)),
b = seq_len(ncol(n)),
alpha = 0.05
)
Arguments
n |
the observed table (an rxc matrix) |
nboot |
number of bootstrap samples |
a |
scores assigned to the rows |
b |
scores assigned to the columns |
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(3509)
Pearson_correlation_coefficient_rxc_bca(table_7.7, nboot = 800)
Pearson_correlation_coefficient_rxc_bca(table_7.8, nboot = 200)
## Not run:
Pearson_correlation_coefficient_rxc_bca(table_7.9)
## End(Not run)
[Package contingencytables version 3.0.0 Index]