NumericalFiltering: Removes lines in the dataset based on numerical conditions.
In DAPAR: Tools for the Differential Analysis of Proteins Abundance with R
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/missingValuesFilter.R
Description
This function removes lines in the dataset based on numerical conditions.
Usage
1
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
1
2
utils::data(Exp1_R25_pept, package='DAPARdata')
NumericalFiltering(Exp1_R25_pept, 'A_Count', '6', '==')
DAPAR documentation built on April 11, 2021, 6 p.m.
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Description Usage Arguments Value Author(s) Examples
View source: R/missingValuesFilter.R
Description
This function removes lines in the dataset based on numerical conditions.
Usage
1 | 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
1 2 | utils::data(Exp1_R25_pept, package='DAPARdata')
NumericalFiltering(Exp1_R25_pept, '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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