Documentation-- outlyx()

[jamesdalg]

Question: Using wateRmelon, it is not stated in the R helpfiles what precisely the mv column indicates. Given that, I'm not sure what this might mean for samples that have mv=TRUE, as the one below, bolded.

library(wateRmelon) data(melon) outliers <- outlyx(melon,iqr=TRUE, iqrP=2, pc=1,

• mv=TRUE, mvP=0.15, plot=TRUE) outliers iqr mv outliers 6057825008_R01C01 FALSE FALSE FALSE 6057825008_R01C02 FALSE FALSE FALSE 6057825008_R02C01 FALSE TRUE FALSE 6057825008_R02C02 FALSE FALSE FALSE 6057825008_R03C01 FALSE FALSE FALSE 6057825008_R03C02 FALSE FALSE FALSE 6057825008_R04C01 FALSE FALSE FALSE 6057825008_R04C02 FALSE TRUE FALSE 6057825008_R05C01 FALSE FALSE FALSE 6057825008_R05C02 FALSE FALSE FALSE 6057825008_R06C01 FALSE FALSE FALSE 6057825008_R06C02 FALSE FALSE FALSE

All that is mentioned is that "Value Returns a dataframe of TRUE/FALSE per sample where TRUE is outlying.", but the meanings of the columns are not explained.

[TJGorrie]

Really sorry for leaving this stale - the documentation has been updated and will be made clearer in wateRmelon 2.0

[AiSanRa]

Hello, I am trying to apply dasen normalization to the Methylset that I get after loading my 450K array. Basically, I am trying to apply: melon.dasen <- dasen(myLoad$mset, ret2=FALSE) And I get an error: Error in mn[onetwo == "I", ] - otcor : non-confortable arrays.