ncp.pool.pred:
prediction model of the non-centrality parameter from simulation results
Description
the prediction model, summarized from the simulation resultsFormat
The format is:
List of 2
$ : num [1:4] 0.02 0.05 0.1 1
$ :List of 4
..$ : Named num [1:29] -1.067976 19.704888 1.217199 -2.612229 -0.000886 ...
.. ..- attr(*, "names")= chr [1:29] "(Intercept)" "MAF" "log(OR)" "error" ...
..$ : Named num [1:29] -1.11889 4.47646 1.57193 -2.83448 -0.00108 ...
.. ..- attr(*, "names")= chr [1:29] "(Intercept)" "MAF" "log(OR)" "error" ...
..$ : Named num [1:29] -1.152848 2.57742 1.816014 -1.521528 -0.000948 ...
.. ..- attr(*, "names")= chr [1:29] "(Intercept)" "MAF" "log(OR)" "error" ...
..$ : Named num [1:29] -1.17164 0.65682 1.89042 -0.81605 -0.00127 ...
.. ..- attr(*, "names")= chr [1:29] "(Intercept)" "MAF" "log(OR)" "error" ...Examples
Run this codedata(ncp.pool.pred)
## maybe str(ncp.pool.pred) ; plot(ncp.pool.pred) ...
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