[BioC] arrayQualityMetrics: How to observe Hoeffding\'s statistic Da in aqm.maplot object?

[Kaj Chokeshaiusaha [guest]]

Dear R helpers,

I'm an R beginner who is learning 'arrayQualityMetrics' package. The package is very handy and clear. It greatly improves both my knowledge and analytic results.

I'm reading 'Advanced topics: Customizing arrayQualityMetrics reports and
programmatic processing of the output'. After reading  outliners' observation in aqm.boxplot object, I'm wondering whether I can observe Hoeffding's statistic Da in aqm.maplot object?

Would you please show me how to do it?

Best Regards,
Kaj Chokeshaiusaha

 -- output of sessionInfo(): 

R version 3.0.1 (2013-05-16)
Platform: x86_64-pc-linux-gnu (64-bit)

locale:
 [1] LC_CTYPE=en_GB.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_GB.UTF-8        LC_COLLATE=en_GB.UTF-8    
 [5] LC_MONETARY=en_GB.UTF-8    LC_MESSAGES=en_GB.UTF-8   
 [7] LC_PAPER=C                 LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] arrayQualityMetrics_3.16.0

loaded via a namespace (and not attached):
 [1] affy_1.38.1           affyio_1.28.0         affyPLM_1.36.0       
 [4] annotate_1.38.0       AnnotationDbi_1.22.6  beadarray_2.10.0     
 [7] BeadDataPackR_1.12.0  Biobase_2.20.1        BiocGenerics_0.6.0   
[10] BiocInstaller_1.10.3  Biostrings_2.28.0     Cairo_1.5-2          
[13] cluster_1.14.4        colorspace_1.2-3      DBI_0.2-7            
[16] gcrma_2.32.0          genefilter_1.42.0     grid_3.0.1           
[19] Hmisc_3.12-2          hwriter_1.3           IRanges_1.18.3       
[22] lattice_0.20-23       latticeExtra_0.6-24   limma_3.16.8         
[25] parallel_3.0.1        plyr_1.8              preprocessCore_1.22.0
[28] RColorBrewer_1.0-5    reshape2_1.2.2        rpart_4.1-3          
[31] RSQLite_0.11.4        setRNG_2011.11-2      splines_3.0.1        
[34] stats4_3.0.1          stringr_0.6.2         survival_2.37-4      
[37] SVGAnnotation_0.93-1  vsn_3.28.0            XML_3.98-1.1         
[40] xtable_1.7-1          zlibbioc_1.6.0       

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