removeNASeries.DataFilter: Remove NA series from the experiment set
In IdMappingAnalysis: ID Mapping Analysis

Description Usage Arguments Value Author(s) See Also Examples

Remove NA series from the experiment set.

## 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, ...)

`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

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

Alex Lisovich, Roger Day

For more information see DataFilter.

 #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);