DataFilter$removeNASeries {IdMappingAnalysis} | R Documentation

## Remove NA series from the experiment set

### Description

Remove NA series from the experiment set.

### Usage

    ## Static method (use this):
    ## DataFilter$removeNASeries(experimentSet, byRows=TRUE, verbose=FALSE, ...)

    ## Don't use the below:
    ## S3 method for class 'DataFilter'
    removeNASeries(static, experimentSet, byRows=TRUE, verbose=FALSE, ...)

### Arguments

`experimentSet` | `data.frame` containing probeID (first column or row) and data arranged by series (the rest of columns or rows)
`byRows` | `logical` indicating if series arranged by rows (`TRUE`) or by columns (`FALSE`). Default is `TRUE`.
`verbose` | If `TRUE` enables diagnostic messages. Default is `FALSE`.
`...` | Not used

### Value

The experiment `data.frame` with rows or columns containing all `NA` 's removed.

### Author(s)

Alex Lisovich, Roger Day

### See Also

For more information see `DataFilter`.

### Examples

     #set to NA protein count rows which average count is less than 50 percent
     fltExperimentSet<-DataFilter$do.apply(examples$msmsExperimentSet,
       byRows=TRUE,filterFun=DataFilter$minAvgCountConstraint,filtParams=0.5,verbose=TRUE);

     #remove NA series
     fltExperimentSet<-DataFilter$removeNASeries(fltExperimentSet,byRows=TRUE,verbose=TRUE);
     dim(fltExperimentSet);

[Package IdMappingAnalysis version 1.26.0 Index]