a numeric vector, simulative allele 1 count for case samples got by TradPerm method for certain study.
Trad_case_2
a numeric vector, simulative allele 2 count for case samples got by TradPerm method for certain study.
Trad_control_1
a numeric vector, simulative allele 1 count for control samples got by TradPerm method for certain study.
Trad_control_2
a numeric vector, simulative allele 2 count for control samples got by TradPerm method for certain study.
MC_case_1
a numeric vector, simulative allele 1 count for case samples got by MCPerm method for certain study.
MC_case_2
a numeric vector, simulative allele 2 count for case samples got by MCPerm method for certain study.
MC_control_1
a numeric vector, simulative allele 1 count for control samples got by MCPerm method for certain study.
MC_control_2
a numeric vector, simulative allele 2 count for control samples got by MCPerm method for certain study.
Trad_col
the color of cumulative distribution cure for Trad_case_1/Trad_case_2/
Trad_control_1/Trad_control_2. Default value is 'black'.
MC_col
the color of cumulative distribution cure for MC_case_1/MC_case_2/
MC_control_1/MC_control_2. Default value is 'red'.
main
the main title(on top), default value is "cumulative distribution curve".
title
the sub main title for each plot(on top). Default value is a vector with elements: 'case_A', 'case_a',
'control_A' and 'control_a'.
xlab,ylab
X axis label, default value is 'count'.
Y axis label, default value is 'cumulative probability'.
Details
Separately plotting cumulative distribution curve for the return value(allele count) of 'meta.TradPerm'
and 'meta.MCPerm' for certain study is to compare the simulative allele count distribution got by TradPerm
and MCPerm method whether are same.
MCPerm details see chisq.MCPerm.
TradPerm details see chisq.TradPerm.
Author(s)
Lanying Zhang and Yongshuai Jiang <jiangyongshuai@gmail.com>
References
William S Noble(Nat Biotechnol.2009): How does multiple testing correction work?