run_prop_missing: Calculate the Fraction of Missing Data of Sample Runs
In pmartR/pmartRqc: Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data
View source: R/filter_objects.R
run_prop_missing R Documentation
Calculate the Fraction of Missing Data of Sample Runs
Description
This function calculates the fraction of missing data for each sample run.
Usage
run_prop_missing(data_only)
Arguments
data_only
a p \times n data.frame, where p is the number
of peptides and n is the number of samples.
Value
data.frame with two elements: Sample, a character vector giving the
sample names; and Prop_missing, a numeric vector giving the fraction of
missing values per run
Author(s)
Lisa Bramer
pmartR/pmartRqc documentation built on March 4, 2024, 3:46 p.m.
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View source: R/filter_objects.R
| run_prop_missing | R Documentation |
Calculate the Fraction of Missing Data of Sample Runs
Description
This function calculates the fraction of missing data for each sample run.
Usage
run_prop_missing(data_only)
Arguments
data_only |
a |
Value
data.frame with two elements: Sample, a character vector giving the sample names; and Prop_missing, a numeric vector giving the fraction of missing values per run
Author(s)
Lisa Bramer
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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