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  • attempt to apply non-function while trying DEseq vignette sample data

    Hi,
    I installed the DEseq version 1.0.6 from the repository to my mac, and am trying to use the example provided in the vignettes:



    library("DESeq")
    countsTable <- read.delim(system.file("extra/TagSeqExample.tab", package="DESeq"), header=TRUE, stringsAsFactors=TRUE, row.names="gene")
    conds <- factor(c("T", "T", "T", "Tb", "N", "N"))
    cds <- newCountDataSet( countsTable, conds )
    cds <- estimateSizeFactors( cds )
    cds <- estimateVarianceFunctions( cds )
    res <- nbinomTest( cds, "T", "N")

    every command seemed to work until it hits nbinomTest(), where I get an error: attempt to apply non-function. However when I type help(nbinomTest), the documentation of this function does pop up. Does anyone experience the same problem?

    Also, when I checked what the variable cds is after applying estimateVarianceFunctions( cds ), I get the following output, is this normal???

    Thank you so much!

    > cds
    CountDataSet (storageMode: environment)
    assayData: 18760 features, 6 samples
    element names: counts
    protocolData: none
    phenoData
    sampleNames: T1a, T1b, ..., N2 (6 total)
    varLabels and varMetadata description:
    condition: NA
    sizeFactor: NA
    featureData: none
    experimentData: use 'experimentData(object)'
    Annotation:

  • #2
    No clue what went wrong here, but maybe try again using the current release version of DESeq: http://www.bioconductor.org/packages...tml/DESeq.html

    Comment


    • #3
      Now I downloaded the newest DESeq 1.2.1. I have the same error again! But this time it occurs at estimateVarianceFunctions( cds ), even before nbionomTest(). What is wrong??

      Comment


      • #4
        Ok, so I am having the same exact issue (on my mac), just with nbinomTest() and scvPlot(). I just downloaded the current version.

        I would appreciate any insight.

        Thanks!

        Comment


        • #5
          The issue in my case seems to be only specific to the mac environment, when I run the sample on my Linux box, the issue goes away and everything works very smoothly.

          Comment


          • #6
            Dear LanaG and RSK,

            can you send the output of
            sessionInfo()
            One possibility is that the various R add-on packages on your computers are 'out of sync' and need to be all updated. (It's very unlikely a general issue of Mac vs Linux.)

            If possible, please also always include a complete transcript of what you did (like LanaG in her first post), and the output of
            traceback()

            Best wishes
            Wolfgang
            Wolfgang Huber
            EMBL

            Comment


            • #7
              any solution

              Hi,
              I am running into the same problem. Does anybody figure out how to resolve it ? Is it specific to Mac environment ? I appreciate any comments, ideas.

              Thank you.
              Duygu

              This is how the code looks like:

              counts <- read.table("All_regions.collapsed.txt", header = TRUE)
              > conds <- c("e8","e9","e10","e10")
              > cds <- newCountDataSet( counts[,1:4], as.factor(conds) )
              > cds <- estimateSizeFactors( cds )
              > cds <- estimateVarianceFunctions( cds )
              Error: attempt to apply non-function

              And this is how the traceback looks like:

              traceback()
              14: predict.locfit(fit, x[is.finite(x)])
              13: predict(fit, x[is.finite(x)])
              12: safepredict(fit, log(q))
              11: pmax(safepredict(fit, log(q)) - xim * q, 1e-08 * q)
              10: cds@rawVarFuncs[[cond]](q)
              9: FUN("e10"[[1L]], ...)
              8: lapply(replicated, function(cond) cds@rawVarFuncs[[cond]](q))
              7: object@rawVarFuncs[[rvfName]](c(1.5, 3.5, 7.3))
              6: validityMethod(object)
              5: identical(x, TRUE)
              4: anyStrings(validityMethod(object))
              3: validObject(cds)
              2: `rawVarFuncTable<-`(`*tmp*`, value = c("e10", "_max", "_max"))
              1: estimateVarianceFunctions(cds)

              Comment


              • #8
                Maybe something is strange with your count data. Could you please save you count table and your count dataset to a file (with
                Code:
                save( counts, cds, file="foo.rda" )
                and send me the file by email? Then I can have a look.

                Comment

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