get_n_significant_conditions: Count number of conditions each effect is significant in
In Alice-MacQueen/CDBNgenomics: Genomics Using the Cooperative Dry Bean Nursery Dataset
Description
Usage
Arguments
Value
View source: R/handle_mash_results.R
Description
Count number of conditions each effect is significant in
Usage
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get_n_significant_conditions(
m,
thresh = 0.05,
conditions = NULL,
sig_fn = get_lfsr
)
Arguments
m
the mash result (from joint or 1by1 analysis)
thresh
indicates the threshold below which to call signals significant
conditions
which conditions to include in check (default to all)
sig_fn
the significance function used to extract significance from mash object; eg could be ashr::get_lfsr or ashr::get_lfdr
Value
a vector containing the number of significant conditions
Alice-MacQueen/CDBNgenomics documentation built on Aug. 18, 2020, 4:39 p.m.
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Description Usage Arguments Value
View source: R/handle_mash_results.R
Description
Count number of conditions each effect is significant in
Usage
1 2 3 4 5 6 | get_n_significant_conditions(
m,
thresh = 0.05,
conditions = NULL,
sig_fn = get_lfsr
)
|
Arguments
m |
the mash result (from joint or 1by1 analysis) |
thresh |
indicates the threshold below which to call signals significant |
conditions |
which conditions to include in check (default to all) |
sig_fn |
the significance function used to extract significance from mash object; eg could be ashr::get_lfsr or ashr::get_lfdr |
Value
a vector containing the number of significant conditions
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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