[BioC] SOLVED Error in normalize.quantiles.robust

DAVID ARTETA GARCIA darteta001 at ikasle.ehu.es
Wed Jul 2 18:15:46 CEST 2008


Thanks Ben and rest

setting the storage mode to "double" solved the problem.
I didn´t know there was a difference between a "12.73" and a "12". All  
the values in my data.frame were non-decimals. Guess is my lack of  
programming knowledge. I will look into that.

Best,

David


DAVID ARTETA GARCIA <darteta001 at ikasle.ehu.es> ha escrito:

> Hi James,
>
> row.names is an argument indeed but it doesn´t seem to be the   
> problem either; I still get the same error:
>
>> xxx <- read.table("mydata.txt", sep = "\t",   
>> header=TRUE,row.names=1, colClasses="numeric")
> Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings,  :
>   scan() expected 'a real', got 'A0001'
>
> I have found out that for normalize.quantiles.robust() this works fine:
>
> aaa <- matrix(rnorm(100),ncol=5)
> colnames(aaa) <-c("aa","bb","cc","dd","ee")
> zzz <- normalize.quantiles.robust(aaa)
>
> but this does not:
>
> aaa <- matrix(c(15:114),ncol=5)
> colnames(aaa) <-c("aa","bb","cc","dd","ee")
> zzz <- normalize.quantiles.robust(aaa)
> Error in normalize.quantiles.robust(aaa) :
>   REAL() can only be applied to a 'numeric', not a 'integer'
>
>
> This is my session info:
>
>> sessionInfo()
> R version 2.7.0 (2008-04-22)
> i386-pc-mingw32
>
> attached base packages:
> [1] tools     stats     graphics  grDevices utils     datasets    
> methods   base
>
> other attached packages:
> [1] affy_1.18.0          preprocessCore_1.2.0 affyio_1.8.0
> Biobase_2.0.0
>
>
> D.
>
> "James W. MacDonald" <jmacdon at med.umich.edu> ha escrito:
>
>> Hi David,
>>
>> I think you also need a row.names = 1 in your call to read.table. Check
>> ?read.table to make sure - I don't have R on this computer so I can't
>> check myself.
>>
>> Best,
>>
>> Jim
>>
>>
>>
>> DAVID ARTETA GARCIA wrote:
>>> Dear Martin, thanks for your answer. I cannot make your first    
>>> suggestion work:
>>>
>>>> xxx <- read.table("mydata.txt", sep = "\t",    
>>>> header=TRUE,colClasses="numeric")
>>> Error in scan(file, what, nmax, sep, dec, quote, skip, nlines,    
>>> na.strings,  :
>>> scan() expected 'a real', got 'A0001'
>>>
>>> I also tried removing the row.names and then I get
>>>
>>>> log.quant.rob.norm <-normalize.quantiles.robust(as.numeric(xxx))
>>> Error in normalize.quantiles.robust(as.numeric(xxx)) :
>>> INTEGER() can only be applied to a 'integer', not a 'NULL'
>>>
>>>
>>> Any more thoughts?
>>>
>>> D.
>>>
>>>
>>>
>>> Martin Morgan <mtmorgan at fhcrc.org> ha escrito:
>>>
>>>> Hi David --
>>>>
>>>> DAVID ARTETA GARCIA <darteta001 at ikasle.ehu.es> writes:
>>>>
>>>>> Dear list, I have a matrix I imported using read.table with raw
>>>>> intensity data for 12 samples and 2300 genes in one colour, as folows:
>>>>>
>>>>>> dim(xxx)
>>>>> [1] 2352   12
>>>>>
>>>>>> head(xxx)
>>>>>          0025 0039 0041 0043 0047 0058 0061 0067 0072 0073 0078 0085
>>>>> A0001      953  509 1669  867 6672 1526  453  397  883  686  382  429
>>>>> A0002     1769  641 1635 1357 4364 1308  552  441  888 1374  493  693
>>>>> A0003     2304  943 2701 1745 4966 1622  807  591 1283 1579  517  870
>>>>> A0004     2185 1235 3992 1866 6462 1556 1004  781 1512 1911  762  906
>>>>> A0005     1842 1008 1904 1434 6331 1155  759  515 1155 1448  510  764
>>>>> A0006     1586  909 2294  641 7729 1367  788  489 1317  714  503  301
>>>>>
>>>>>
>>>>>> class(xxx)
>>>>> [1] "matrix"
>>>>>
>>>>>
>>>>> I am trying to normalize using robust quantiles but I get an error
>>>>> that I don´t understand.
>>>>>
>>>>>> log.quant.rob.norm<-normalize.quantiles.robust(xxx,use.log2=TRUE)
>>>>> Error in normalize.quantiles.robust(xxx, use.log2 = TRUE) :
>>>>>  REAL() can only be applied to a 'numeric', not a 'integer'
>>>>>> is.numeric(xxx)
>>>>> [1] TRUE
>>>>
>>>> I guess is.integer(xxx) returns TRUE; integer is a subclass of
>>>> numeric, so they are both TRUE. You'll want to convert your intensity
>>>> measures to numeric (e.g., with the colClasses="numeric" argument to
>>>> whatever read.* function you used, or as.numeric(xxx).
>>>>
>>>> Martin
>>>>
>>>>>
>>>>> Can anyone help me with this?
>>>>>
>>>>> TIA,
>>>>>
>>>>> D.
>>>>>
>>>>> _______________________________________________
>>>>> Bioconductor mailing list
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>>>>
>>>> -- 
>>>> Martin Morgan
>>>> Computational Biology / Fred Hutchinson Cancer Research Center
>>>> 1100 Fairview Ave. N.
>>>> PO Box 19024 Seattle, WA 98109
>>>>
>>>> Location: Arnold Building M2 B169
>>>> Phone: (206) 667-2793
>>>>
>>>>
>>>
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>
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