complete_mols: Identify biomolecules with no missing values across samples
In pmartR: Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data
complete_mols R Documentation
Identify biomolecules with no missing values across samples
Description
Selects biomolecules that have complete rows in e_data, equivalent to 'ppp'
with proportion = 1.
Usage
complete_mols(e_data, edata_id)
Arguments
e_data
a p \times n + 1 data.frame, where p is the number
of peptides, proteins, lipids, or metabolites and n is the number of
samples. Each row corresponds to data for a peptide, protein, lipid, or
metabolite, with one column giving the biomolecule identifier name.
edata_id
character string indicating the name of the peptide, protein,
lipid, or metabolite identifier. Usually obtained by calling
attr(omicsData, "cnames")$edata_cname.
Value
Character vector containing the biomolecules with no missing values
across all samples.
pmartR documentation built on Oct. 15, 2024, 1:06 a.m.
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| complete_mols | R Documentation |
Identify biomolecules with no missing values across samples
Description
Selects biomolecules that have complete rows in e_data, equivalent to 'ppp' with proportion = 1.
Usage
complete_mols(e_data, edata_id)
Arguments
e_data |
a |
edata_id |
character string indicating the name of the peptide, protein,
lipid, or metabolite identifier. Usually obtained by calling
|
Value
Character vector containing the biomolecules with no missing values across all samples.
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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