View source: R/Pearson_correlation_coefficient_rxc_bca.R
| Pearson_correlation_coefficient_rxc_bca | R Documentation | 
The Pearson correlation coefficient with the bias-corrected and accelerated
boostrap confidence interval
Described in Chapter 7 "The rxc Table"
Pearson_correlation_coefficient_rxc_bca(
  n,
  nboot = 10000,
  a = seq_len(nrow(n)),
  b = seq_len(ncol(n)),
  alpha = 0.05
)
| 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 | 
An object of the contingencytables_result class,
basically a subclass of base::list(). Use the utils::str() function
to see the specific elements returned.
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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.