NumericalFiltering: Removes lines in the dataset based on numerical conditions.
In prostarproteomics/DAPAR: Tools for the Differential Analysis of Proteins Abundance with R
View source: R/missingValuesFilter.R
NumericalFiltering R Documentation
Removes lines in the dataset based on numerical conditions.
Description
This function removes lines in the dataset based on numerical conditions.
Usage
NumericalFiltering(obj, name = NULL, value = NULL, operator = NULL)
Arguments
obj
An object of class MSnSet.
name
The name of the column that correspond to the line to filter
value
A number
operator
A string
Value
An list of 2 items :
* obj : an object of class MSnSet in which the lines have been
deleted,
* deleted : an object of class MSnSet which contains the deleted lines
Author(s)
Samuel Wieczorek
Examples
data(Exp1_R25_pept, package="DAPARdata")
NumericalFiltering(Exp1_R25_pept[seq_len(100)], "A_Count", "6", "==")
prostarproteomics/DAPAR documentation built on Nov. 26, 2024, 6:32 p.m.
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View source: R/missingValuesFilter.R
| NumericalFiltering | R Documentation |
Removes lines in the dataset based on numerical conditions.
Description
This function removes lines in the dataset based on numerical conditions.
Usage
NumericalFiltering(obj, name = NULL, value = NULL, operator = NULL)
Arguments
obj |
An object of class |
name |
The name of the column that correspond to the line to filter |
value |
A number |
operator |
A string |
Value
An list of 2 items :
* obj : an object of class MSnSet in which the lines have been
deleted,
* deleted : an object of class MSnSet which contains the deleted lines
Author(s)
Samuel Wieczorek
Examples
data(Exp1_R25_pept, package="DAPARdata")
NumericalFiltering(Exp1_R25_pept[seq_len(100)], "A_Count", "6", "==")
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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