sens_compute: Computes sensitivity with respect to a truth set
In annaquaglieri16/samplepower: Compute sensitivity and false positive rates for a variant call set with repsect to a truth dataset.
Description
Computes sensitivity with respect to a truth set
Usage
1
sens_compute(variants, truth_set, indel = FALSE)
Arguments
variants
dataframe created within the 'variant_power.R' function. The columns required in this dataframe are 'Called_defaults' and 'Called_defaults' which are numeric 0/1 defining whther a variant is called. If 'indel = TRUE' also the column 'key' is required. 'key' is a unique key for a variant: 'chr:POS:SampleName:Gene:Transcript'.
truth_set
external truth set. The truth set os only needed to know the total number of variants in it.
indel
logical. TRUE is INDELs are analysed.
annaquaglieri16/samplepower documentation built on Nov. 7, 2019, 11:43 p.m.
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Description
Computes sensitivity with respect to a truth set
Usage
1 | sens_compute(variants, truth_set, indel = FALSE)
|
Arguments
variants |
dataframe created within the 'variant_power.R' function. The columns required in this dataframe are 'Called_defaults' and 'Called_defaults' which are numeric 0/1 defining whther a variant is called. If 'indel = TRUE' also the column 'key' is required. 'key' is a unique key for a variant: 'chr:POS:SampleName:Gene:Transcript'. |
truth_set |
external truth set. The truth set os only needed to know the total number of variants in it. |
indel |
logical. TRUE is INDELs are analysed. |
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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