plot_outliers: Determine how to plot outliers. Heuristic used is whether...
In qckitfastq: FASTQ Quality Control
Description
Usage
Arguments
Value
View source: R/plot_overrep_kmer.R
Description
Determine how to plot outliers. Heuristic used is whether their obsexp_ratio differs by more than 1
and whether they fall into the same bin or not. If for 2 outliers, obsexp_ratio differs by less than .4
and they are in the same bin, then combine into a single plotting point.
NOT FULLY FUNCTIONAL
Usage
1
plot_outliers(overkm, top_num)
Arguments
overkm
data frame with columns pos, obsexp_ratio, and kmer that has already been reordered by descending obsexp_ratio
top_num
number of most overrepresented kmers to plot. Default is 5.
Value
currently 0 as function is not fully working.
qckitfastq documentation built on Nov. 8, 2020, 5:24 p.m.
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Description Usage Arguments Value
View source: R/plot_overrep_kmer.R
Description
Determine how to plot outliers. Heuristic used is whether their obsexp_ratio differs by more than 1 and whether they fall into the same bin or not. If for 2 outliers, obsexp_ratio differs by less than .4 and they are in the same bin, then combine into a single plotting point. NOT FULLY FUNCTIONAL
Usage
1 | plot_outliers(overkm, top_num)
|
Arguments
overkm |
data frame with columns pos, obsexp_ratio, and kmer that has already been reordered by descending obsexp_ratio |
top_num |
number of most overrepresented kmers to plot. Default is 5. |
Value
currently 0 as function is not fully working.
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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