Calculate Tetrachoric Correlations

This function calculates the tetrachoric correlations between pairs of variables in a given data frame. It returns a list containing a data frame with the tetrachoric correlation coefficients, and the sum of the tetrachoric correlations if the input variable was in p-value form.

Usage

tetracorr(data, varlist)

Arguments

data

data frame with "markname" and study names as column names.

varlist

character vector of study names to include in the meta-analysis.

Value

list containing a data frame with tetrachoric correlation coefficients, and the sum of the tetrachoric correlations if the input variable was in p-value form.

See also

polychor

Author

Woo Jung

Examples

  data(snp_example)
  head(snp_example)
#>         markname    trt1   trt2   trt3
#> 1 c01b000015585s 0.35580 0.7356 0.6920
#> 2 c01b000015644s 0.58850 0.4539 0.7164
#> 3 c01b000015647s 0.18840 0.3029 0.2111
#> 4 c01b000015717s 0.99820 0.2474 0.2029
#> 5 c01b000015721s 0.74750 0.2206 0.1954
#> 6 c01b000016805s 0.08051 0.1532 0.7910
  varlist <- c("trt1","trt2","trt3")
  tetracorr(snp_example, varlist)
#> $sigma
#> # A tibble: 3 × 4
#>   row     trt1  trt2   trt3
#>   <chr>  <dbl> <dbl>  <dbl>
#> 1 trt1   1     0.215 -0.215
#> 2 trt2   0.215 1      0.127
#> 3 trt3  -0.215 0.127  1    
#> 
#> $sum_sigma
#> [1] 3.253552
#>