plot_ffw: Data visualisation for ffw output

In william-denault/ffw: A package to perform Fast functional association analysis based on wavelets

Description

Data visualisation of ffw screening results

Usage

plot_ffw(res, bp, lev_res, fill, dg, BF_lev)

Arguments

res	Output of ffw, without Betas.
bp	a vector of the base pairs position of the loci, you can provide only the starting point and the end point of the loci. If missing set as 0, 1.
lev_res	the maximum level of resolution needed, has to be less or equal to the request level of resolution in the ffw function.
fill	logical, if not provide set as TRUE.
dg	numerical, the number of digits display on the x axe. If missing set at 3.
BF_lev	Level of Bayes Factor use to overlay regions. IF missing set as 1.

Details

The function generate a ggplot from the ffw function output. It represents the Bayes factor for the different levels scales of the wavelets decomposition. The size and the darkness of the points that represent the Bayes factor are scaled by the value of the Bayes factors. If a Bayes factor is greater than 1 then the region that represent the Bayes factor is filled up in order to give an orverview of the size and the origin of the genetic signal.

Value

return a ggplot

See Also

ffw

william-denault/ffw documentation built on Jan. 20, 2021, 8:28 p.m.