plot_WS: Data visualization for the output of Wavelet screening
In william-denault/WaveletScreaming: A package to perform Wavelet Screening on GWAS data
Description
Usage
Arguments
Details
Value
See Also
Description
Data visualization of Wavelet screening results.
Usage
1
plot_WS(res, bp, lev_res, fill, dg)
Arguments
res
Output of Wavelet_screening, without Bayes Factor.
bp
a vector of the basepair position of the locus. You can provide only the starting and the endpoint of the locus. If missing ,set as 0, 1.
lev_res
the maximum level of resolution needed. This has to be less or equal to the requested level of resolution in the Wavelet_screening.
fill
logical. If not, provide set as TRUE.
dg
numerical. This is the number of digits displayed on the x-axis. If missing, set at 3.
Details
The function generates a ggplot from the Wavelet screening output. It represents the Betas for the different scales of the wavelet decomposition.
The size and the darkness of the points that represent the Betas are scaled by the value of the Betas.
If a Beta is not thresholded, then the region that represents the Beta is highlighted in order to give an overview of the size and the origin of the genetic signal.
Value
return a ggplot
See Also
william-denault/WaveletScreaming documentation built on Jan. 23, 2021, 12:34 p.m.
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Description Usage Arguments Details Value See Also
Description
Data visualization of Wavelet screening results.
Usage
1 | plot_WS(res, bp, lev_res, fill, dg)
|
Arguments
res |
Output of Wavelet_screening, without Bayes Factor. |
bp |
a vector of the basepair position of the locus. You can provide only the starting and the endpoint of the locus. If missing ,set as 0, 1. |
lev_res |
the maximum level of resolution needed. This has to be less or equal to the requested level of resolution in the Wavelet_screening. |
fill |
logical. If not, provide set as TRUE. |
dg |
numerical. This is the number of digits displayed on the x-axis. If missing, set at 3. |
Details
The function generates a ggplot from the Wavelet screening output. It represents the Betas for the different scales of the wavelet decomposition. The size and the darkness of the points that represent the Betas are scaled by the value of the Betas. If a Beta is not thresholded, then the region that represents the Beta is highlighted in order to give an overview of the size and the origin of the genetic signal.
Value
return a ggplot
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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