run_mad: Calculate the Median Absolute Deviance (MAD) of Sample Runs
In pmartR: Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data
View source: R/filter_objects.R
run_mad R Documentation
Calculate the Median Absolute Deviance (MAD) of Sample Runs
Description
This function calculates the median absolute deviance across data for each
sample run.
Usage
run_mad(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.
Details
When calculating the MAD within a sample NA values are ignored. If
all peptide abundance values are missing within a sample, the MAD is
replaced by the overall mean MAD values for the data.
Value
data.frame with two elements: Sample, a character vector giving the
sample names; and MAD, a numeric vector giving the MAD values
Author(s)
Lisa Bramer
pmartR documentation built on Oct. 15, 2024, 1:06 a.m.
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View source: R/filter_objects.R
| run_mad | R Documentation |
Calculate the Median Absolute Deviance (MAD) of Sample Runs
Description
This function calculates the median absolute deviance across data for each sample run.
Usage
run_mad(data_only)
Arguments
data_only |
a |
Details
When calculating the MAD within a sample NA values are ignored. If all peptide abundance values are missing within a sample, the MAD is replaced by the overall mean MAD values for the data.
Value
data.frame with two elements: Sample, a character vector giving the sample names; and MAD, a numeric vector giving the MAD values
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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