dot-draw_out_j: Draws random parameters to determine how to do outliers
In wmacnair/SampleQC: Robust, multivariate, multi-sample, multi-celltype QC for single cell RNA-seq data
.draw_out_j R Documentation
Draws random parameters to determine how to do outliers
Description
Draws random parameters to determine how to do outliers
Usage
.draw_out_j(J, p_out_0, theta_0, p_loss_0)
Arguments
J
number of samples
Value
matrix with rows corresponding to samples
col 1 is p_out, proportion of each sample which is an outlier
col 2 is p_lost, mean proportion of non-mito counts lost in outliers
wmacnair/SampleQC documentation built on Nov. 18, 2022, 5 p.m.
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| .draw_out_j | R Documentation |
Draws random parameters to determine how to do outliers
Description
Draws random parameters to determine how to do outliers
Usage
.draw_out_j(J, p_out_0, theta_0, p_loss_0)
Arguments
J |
number of samples |
Value
matrix with rows corresponding to samples
col 1 is p_out, proportion of each sample which is an outlier
col 2 is p_lost, mean proportion of non-mito counts lost in outliers
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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