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http://aroma-project.org/chipTypes/HuEx-1_0-st-v2

/Henrik

On Thu, Feb 27, 2014 at 3:24 PM, Saskia Freytag <sas.frey...@gmail.com> wrote:
> Hello,
>
> I have exactly the same problem. Unfortunately the link which fixed your
> problem seems to be broken. Can anyone point me to the right cdfs.
>
> Thank you in advance,
>
> Saskia
>
> Am Freitag, 26. Februar 2010 12:12:10 UTC+11 schrieb zaid:
>>
>> Today I tried the same files using an updated CDF file from this page:
>>
>> http://groups.google.com/group/aroma-affymetrix/web/affymetrix-defined-transcript-clusters
>> and the NUSE and RLE plots worked fine.
>>
>> In my previous trials, I was trying an older version of the CDF files
>> posted on the above page and converted binary cdf versions of
>> affymetrix.
>>
>> I re-created the problem again here are the results.
>>
>> > readUnits(csN,units=1:2)
>> $`2'-PDE`
>> $`2'-PDE`$`201626`
>> $`2'-PDE`$`201626`$intensities
>>              [,1]        [,2]        [,3]        [,4]        [,
>> 5]        [,6]        [,7]
>>  [1,]   30.173895   20.211313   25.557259   13.223299    4.772590
>> 34.572330   22.838047
>>  [2,]   35.341541   30.020275   15.349304   18.235540   66.222588
>> 94.837425   70.914474
>>  [3,]   99.606659  154.452805   52.543839   72.683655   46.566010
>> 164.298965  142.068192
>>  [4,]  339.529724  390.837433  450.683594  342.991272  343.375885
>> 503.298981  375.991272
>>  [5,]  993.837463 1355.145142  955.837463  680.606689  947.145142
>> 1065.529785 1042.760498
>>  [6,] 2059.375977 1565.068237 1917.452759 1170.452881 1414.452881
>> 1649.375854 1763.529785
>>  [7,]   59.302147   25.760864    4.419939   47.258316   36.228756
>> 39.274750   51.620762
>>  [8,]   41.764843   15.854004    8.483532   30.558447   26.374550
>> 70.529938   75.837463
>>  [9,]  239.298965  414.452820  233.837418  319.914337  184.145111
>> 455.222046  286.529724
>> [10,]  172.683578  184.683578  196.222046  331.606659  180.606659
>> 308.683594  266.991272
>> [11,]   44.131218   10.264504   21.390810   99.606659   42.149456
>> 96.606659  314.760498
>> [12,]    2.504168    3.920466    3.185901    7.749998    3.508877
>> 11.280955   39.556137
>> [13,]    9.650434    3.798424    6.566887    5.229606    5.811605
>> 54.001240   30.096972
>> [14,]   31.121769   19.502832   37.736290  107.145119   21.467726
>> 92.991272   59.532917
>> [15,]    2.955177    2.279927    3.169760    2.968621    4.713497
>> 7.956012    3.671075
>> [16,]   98.222038   68.530075   74.914391   73.068268   48.941250
>> 41.226379   73.299034
>> [17,]   24.754116   39.120903   57.534470   48.325867   45.347137
>> 24.984880   33.228832
>> [18,]    4.223890    5.229606    5.301873   17.785744    5.052575
>> 7.897975    3.898368
>> [19,]    2.968621    3.620072    3.019938    2.475664    4.163679
>> 3.169760    3.975102
>> [20,]   79.837433   20.211313   16.544165   90.760506   21.951843
>> 40.786907   86.837425
>> [21,]   25.326687   27.180756   30.967922   82.991272   32.921154
>> 49.556633   81.068199
>> [22,]    9.167545    5.960811    3.584546  102.298965   12.389921
>> 27.334526   61.608761
>> [23,]  100.683578   95.068192   46.873703  178.452805  107.145119
>> 69.837631  125.683578
>> [24,]  281.298950  197.145111  179.068192  503.298981  283.145111
>> 377.606659  233.991272
>> [25,]  162.683578   35.110786  132.914352  455.298981  163.683578
>> 398.298981  390.452820
>> [26,]   48.864326   33.998024   65.684128  386.375885  162.222046
>> 192.068192  139.837418
>> [27,]    9.004797   16.787853   24.984880   90.222038   15.030814
>> 146.298965  106.375885
>> [28,]   36.536449   83.068199   47.873703  273.145111   26.528273
>> 297.837433   10.586439
>> [29,]  402.991272  273.298950  435.760498  971.145142  486.298981
>> 678.914368  529.760498
>> [30,]  288.068207   68.991478  370.837433  561.222046  269.068207
>> 422.222046  174.529724
>> [31,]  150.222046   30.967922  211.145111  355.760498  159.222046
>> 544.914368  171.068192
>> [32,]   94.145119   94.837425   80.068207  235.991272  101.222038
>> 371.683594  168.529724
>> [33,]   96.683578   76.529755   80.991280  246.452805  114.375885
>> 412.991272  287.914337
>> [34,]  155.606659  113.683578  134.991272  323.375885  217.298965
>> 292.837433  200.991272
>> [35,]   34.726177   42.072533   64.376762  208.837418   77.760513
>> 131.606659  182.145111
>> [36,]   94.145119   31.506207   31.813900   96.452812   42.303303
>> 65.684128   37.680859
>> [37,]   33.228832    4.772590    2.993202   42.534073   42.977371
>> 122.991272   33.844215
>> [38,]   34.138268   41.226379   30.635365   63.684872   49.708897
>> 87.145119    4.538531
>> [39,]   14.751531   41.918686   28.155693  100.837425   18.714483
>> 104.298965   26.066858
>>              [,8]        [,9]       [,10]       [,11]       [,
>> 12]       [,13]
>>  [1,]   21.009676    9.581000   24.065702    6.891736   35.110786
>> 98.452812
>>  [2,]   43.208138   51.851532   33.844215   58.303699   38.043980
>> 66.222588
>>  [3,]  107.606659   46.270214   92.683578   71.376007   64.222916
>> 87.606659
>>  [4,]  682.529724  240.222046  362.298950  396.683594  442.606659
>> 257.375885
>>  [5,] 1949.145142  682.914368 1022.606689 1050.529785  949.222046
>> 759.452820
>>  [6,] 2499.529785 1136.683594 1588.914307 1515.375854 1069.222046
>> 1050.991333
>>  [7,]   56.919086    8.835921   14.464849   31.506207   12.584667
>> 80.529739
>>  [8,]   21.951843   35.110786   25.557259   54.693550   52.389992
>> 16.111414
>>  [9,]  142.683578  235.375885  502.452820  350.529724  255.837418
>> 457.683594
>> [10,]   17.643476  212.145111  197.683578  217.298965  222.068192
>> 413.298950
>> [11,]    9.167545   31.813900   78.683594  102.452812   35.495388
>> 75.299004
>> [12,]    3.881224    4.587281    6.431705    7.658939    6.566887
>> 4.419939
>> [13,]    5.229606    7.138066   26.066858   72.683655   23.788197
>> 8.606457
>> [14,]    5.229606   49.018173   36.074909   44.731750   36.151833
>> 37.736290
>> [15,]    3.019938    5.154222    3.105200    3.201177    3.756818
>> 16.034637
>> [16,]   95.914345  101.298965   72.376007   38.582443   65.222916
>> 78.606667
>> [17,]   42.072533    7.023152   20.211313   48.864326   22.914968
>> 24.217855
>> [18,]    3.855694    4.371360    9.427630    6.258907    5.052575
>> 3.975102
>> [19,]    4.275052    2.955177    4.419939    2.819058    3.473291
>> 2.054114
>> [20,]    2.899159   28.386461   16.863979   77.529755   95.760506
>> 31.813900
>> [21,]    3.550558   59.609840   32.198513   52.236149   73.529808
>> 113.529732
>> [22,]    4.188257   17.643476   12.721886   32.998077   46.193291
>> 77.914360
>> [23,]    5.545773   31.583130   38.428596  125.606651  145.606659
>> 155.452805
>> [24,]   65.069069  218.683578  224.991272  258.068207  289.683594
>> 361.914337
>> [25,]    6.713028  103.760498  126.837425  186.298965  178.914352
>> 231.145111
>> [26,]    3.005447   68.145454   33.690372  113.760498  128.222046
>> 163.298965
>> [27,]    5.229606   30.173895   30.967922   18.714483   43.208138
>> 34.572330
>> [28,]    4.962061   71.606781   36.536449   47.027550   38.197826
>> 40.786907
>> [29,]  172.529724  437.375885  448.606659  634.298950  320.298950
>> 417.760498
>> [30,]  408.991272  275.222046  225.145111  435.529724  382.298950
>> 249.068192
>> [31,]  248.452805  282.222046   94.222038  206.145111  172.914352
>> 123.760498
>> [32,]   30.967922   81.914352  108.760498  136.760498   68.837746
>> 232.914352
>> [33,]   20.211313   85.760506   84.222046  161.298965   93.837425
>> 196.298965
>> [34,]  117.452805  248.683578  170.222046  182.760498  202.606659
>> 71.529854
>> [35,]   48.864326   84.529739  123.914345   52.466915   71.529854
>> 165.222046
>> [36,]   15.272806   33.613449   58.840611   57.457546   54.770473
>> 127.760498
>> [37,]   16.544165   20.029972   67.376228   55.459740   39.274750
>> 45.962521
>> [38,]   28.386461   92.683578   36.844131   37.074902   58.457279
>> 115.452812
>> [39,]   34.572330   37.680859   70.376091   45.962521   15.564535
>> 17.567133
>>
>> $`3.8-1`
>> $`3.8-1`$`352961`
>> $`3.8-1`$`352961`$intensities
>>           [,1]       [,2]       [,3]     [,4]      [,5]     [,6]     [,
>> 7]      [,8]     [,9]
>> [1,]  67.68391   8.606457   4.142926 129.3759  44.43891  10.1953
>> 113.6836  4.828296 10.07789
>> [2,] 292.29895 111.760498 107.991272 203.9913 163.52972 199.1451
>> 142.6836 21.009676 86.06820
>>          [,10]     [,11]     [,12]    [,13]
>> [1,]  14.54105  29.11857  34.34156 16.32873
>> [2,] 324.83743 127.29897 164.29897 46.71986
>>
>>
>> > head(trFit)
>>   unitName groupName unit group cell S359-A-HuEx-1_0-st-
>> v2-01-1(S06-19542)
>> 1   2'-PDE    201626    1     1
>> 1                                     0
>> 2    3.8-1    352961    2     1
>> 2                                     0
>> 3  3.8-1.3    353008    3     1
>> 3                                     0
>>   S360-A-HuEx-1_0-st-v2-01-1(S06-16651) S361-A-HuEx-1_0-st-
>> v2-01-1(S08-7727)
>> 1
>> 0                                    0
>> 2
>> 0                                    0
>> 3
>> 0                                    0
>>   S362-A-HuEx-1_0-st-v2-01-1(S07-25350) S363-A-HuEx-1_0-st-
>> v2-01-1(S08-6195)
>> 1
>> 0                                    0
>> 2
>> 0                                    0
>> 3
>> 0                                    0
>>   S364-A-HuEx-1_0-st-v2-01-1(S07-356) S365-A-HuEx-1_0-st-
>> v2-01-1(S07-658)
>> 1
>> 0                                   0
>> 2
>> 0                                   0
>> 3
>> 0                                   0
>>   S366-A-HuEx-1_0-st-v2-01-1(06-25583) S367-A-HuEx-1_0-st-
>> v2-01-1(S07-12679)
>> 1
>> 0                                     0
>> 2
>> 0                                     0
>> 3
>> 0                                     0
>>   S368-A-HuEx-1_0-st-v2-01-1(S09-12818) S369-A-HuEx-1_0-st-
>> v2-01-1(S09-12851)
>> 1
>> 0                                     0
>> 2
>> 0                                     0
>> 3
>> 0                                     0
>>   S370-A-HuEx-1_0-st-v2-01-1(S09-13138) S371-A-HuEx-1_0-st-
>> v2-01-1(S09-07848)
>> 1
>> 0                                     0
>> 2
>> 0                                     0
>> 3
>> 0                                     0
>>
>>
>> In regards to the other question
>>
>> I was using seprate directories in the rawData (tissues, mydata) and
>> also I was using two different root directories as well (aroma and
>> aromaData). I didn't use the extract() function.
>>
>> No warnings or strange errors appeared.
>>
>> Thanks again
>>
>> On Feb 25, 12:03 pm, "Mark Robinson" <mrobin...@wehi.edu.au> wrote:
>> > Hi Zaid.
>> >
>> > So, its looks like your boxplot problem is easily explainable.  ALL of
>> > your chip effects are 0.  That'll lead to a fairly uninteresting RLE or
>> > NUSE plot.  Let's try and figure out why.
>> >
>> > I assume you've done something like:
>> >
>> > [...]
>> > plmTr <- ExonRmaPlm(csN, mergeGroups=TRUE)
>> > fit(plmTr, verbose=verbose)
>> >
>> > A couple things to check are:
>> >
>> > 1. Does your AffymetrixCelSet object 'csN' have reasonable data?  Try
>> > ...
>> >
>> > readUnits(csN, units=1:2)
>> >
>> > 2. If that looks fine, how about we re-fit the probe level models, just
>> > in
>> > case it got interrupted for whatever reason.  Try ...
>> >
>> > fit(plmTr, verbose=verbose, force=TRUE)
>> >
>> > ... and then check whether the chip effects are non-zero, as before ...
>> >
>> > cesTr <- getChipEffectSet(plmTr)
>> > trFit <- extractDataFrame(cesTr, units=1:3, addNames=TRUE)
>> > head(trFit)
>> >
>> > Report back on that when you get a chance.
>> >
>> > Also, you said:
>> >
>> > > I have tried 53 samples, 3 of the 53, 12 of the 53.
>> > > A different set of CEL files of 13, 10 and 3.
>> > > As well as different binary CDF files.
>> >
>> > But you didn't tell us exactly what you've done.  Did you use separate
>> > directories or did you use extract()?
>> >
>> > Is there anything else that you saw while the data was processing that
>> > is
>> > worth mentioning?  Any strange errors/warnings?  Did you accurately
>> > create
>> > a custom CDF?
>> >
>> > Cheers,
>> > Mark
>> >
>> >
>> >
>> > > Updated all my packages:
>> >
>> > >> traceback()
>> > > 8: plot.window(xlim = xlim, ylim = ylim, log = log, yaxs = pars$yaxs)
>> > > 7: bxp(bxpStats, ylim = ylim, outline = outline, las = las, ...)
>> > > 6: plotBoxplotStats.list(stats, main = main, ylab = ylab, ...)
>> > > 5: plotBoxplotStats(stats, main = main, ylab = ylab, ...)
>> > > 4: plotBoxplot.ChipEffectSet(ces, type = "RLE", ...)
>> > > 3: plotBoxplot(ces, type = "RLE", ...)
>> > > 2: plotRle.QualityAssessmentModel(qamTr)
>> > > 1: plotRle(qamTr)
>> >
>> > >>> sessionInfo()
>> > > R version 2.10.0 (2009-10-26)
>> > > i386-pc-mingw32
>> >
>> > > locale:
>> > > [1] LC_COLLATE=English_Canada.1252  LC_CTYPE=English_Canada.1252
>> > > LC_MONETARY=English_Canada.1252
>> > > [4] LC_NUMERIC=C                    LC_TIME=English_Canada.1252
>> >
>> > > attached base packages:
>> > > [1] stats     graphics  grDevices utils     datasets  methods
>> > > base
>> >
>> > > other attached packages:
>> > >  [1] affyQCReport_1.24.0    lattice_0.17-26
>> > > RColorBrewer_1.0-2     preprocessCore_1.8.0
>> > >  [5] xtable_1.5-6           simpleaffy_2.22.0
>> > > gcrma_2.18.0           genefilter_1.28.1
>> > >  [9] Biobase_2.6.0          aroma.affymetrix_1.4.0
>> > > aroma.apd_0.1.7        affxparser_1.18.0
>> > > [13] R.huge_0.2.0           aroma.core_1.4.0
>> > > aroma.light_1.15.1     matrixStats_0.1.9
>> > > [17] R.rsp_0.3.6            R.filesets_0.7.0
>> > > digest_0.4.2           R.cache_0.2.0
>> > > [21] R.utils_1.3.3          R.oo_1.6.7
>> > > affyPLM_1.22.0         affy_1.24.2
>> > > [25] R.methodsS3_1.1.0
>> >
>> > > loaded via a namespace (and not attached):
>> > >  [1] affyio_1.14.0       annotate_1.24.0     AnnotationDbi_1.8.1
>> > > Biostrings_2.14.8
>> > >  [5] DBI_0.2-5           grid_2.10.0         IRanges_1.4.8
>> > > RSQLite_0.8-3
>> > >  [9] splines_2.10.0      survival_2.35-7     tools_2.10.0
>> >
>> > >>  plotNuse(qamTr)
>> > > Error in plot.window(xlim = xlim, ylim = ylim, log = log, yaxs = pars
>> > > $yaxs) :
>> > >   NAs not allowed in 'ylim'
>> > >>  plotRle(qamTr)
>> > > Error in plot.window(xlim = xlim, ylim = ylim, log = log, yaxs = pars
>> > > $yaxs) :
>> > >   NAs not allowed in 'ylim'
>> >
>> > >> cesTr <- getChipEffectSet(plmTr)
>> > >> trFit <- extractDataFrame(cesTr, units=1:3, addNames=TRUE)
>> > >> head(trFit)
>> > >   unitName groupName unit group cell S370-A-HuEx-1_0-st-v2-01-1
>> > > (S09-13138)
>> > > 1  2315251   2315252    1     1
>> > > 1                                      0
>> > > 2  2315373   2315374    2     1
>> > > 3                                      0
>> > > 3  2315554   2315586    3     1
>> > > 7                                      0
>> > >   S371-A-HuEx-1_0-st-v2-01-1 (S09-07848)
>> > > 1                                      0
>> > > 2                                      0
>> > > 3                                      0
>> >
>> > > Yes I have done fit() call using : fit(plmTr, verbose=verbose)
>> >
>> > > Mark,
>> > > I have tried 53 samples, 3 of the 53, 12 of the 53.
>> > > A different set of CEL files of 13, 10 and 3.
>> > > As well as different binary CDF files.
>> >
>> > > I have created folders from scratch still no luck on HuEx, however
>> > > u95A, and plus2 works with no problems.
>> >
>> > > Thanks again for all the help.
>> >
>> > > Would you like more information?
>> >
>> > > Thanks in advance
>> > > Zaid
>> >
>> > > On Feb 24, 2:10 pm, Mark Robinson <mrobin...@wehi.edu.au> wrote:
>> > >> Hi Zaid.
>> >
>> > >> Another thing to check/report in your next update (after you update
>> > >> to
>> > >> the new aroma.affymetrix) is whether you have reasonable chip
>> > >> effects. This is what Henrik was eluding to in his last comment.
>> > >> bxp() which is eventually called by plotRle() will handle NAs, so
>> > >> that
>> > >> shouldn't be the problem. The thing it won't handle is if *all*
>> > >> values are NA or all equal to the same number e.g. 0. I seem to
>> > >> recall you had this issue before. For example, what does these
>> > >> commands give:
>> >
>> > >> [...all your previous stuff...]
>> > >> cesTr <- getChipEffectSet(plmTr)
>> > >> trFit <- extractDataFrame(cesTr, units=1:3, addNames=TRUE)
>> >
>> > >> head(trFit)
>> >
>> > >> One thing that worries/interests me is your comment "I tried to use
>> > >> less CEL files and as few as 3". I've run plotRle() on 10s of samples
>> > >> and I suspect that is not the problem. Can you explain exactly what
>> > >> you tried?
>> >
>> > >> And, if not too much work, it may even be best to create a completely
>> > >> new directory as if you were starting from scratch (say, with a
>> > >> handful of files), run your entire script and report back.
>> >
>> > >> Cheers,
>> > >> Mark
>> >
>> > >> On 25-Feb-10, at 8:19 AM, Henrik Bengtsson wrote:
>> >
>> > >> > Ok, before we try to troubleshoot this one, please update to the
>> > >> > latest aroma.affymetrix version. The one you are using is nearly
>> > >> > three months old, and I prefer to troubleshoot the current code
>> > >> > base.
>> >
>> > >> > When you've done that, it should be enough to run plotRle(); you
>> > >> > don't
>> > >> > have to rerun everything.
>> >
>> > >> > BTW, did you remember to call fit() on the probe-level model?
>> >
>> > >> > /Henrik
>> >
>> > >> > On Wed, Feb 24, 2010 at 8:15 PM, zaid <z...@genomedx.com> wrote:
>> > >> >>> traceback()
>> > >> >> 8: plot.window(xlim = xlim, ylim = ylim, log = log, yaxs =
>> > >> >> pars$yaxs)
>> > >> >> 7: bxp(bxpStats, ylim = ylim, outline = outline, las = las, ...)
>> > >> >> 6: plotBoxplotStats.list(stats, main = main, ylab = ylab, ...)
>> > >> >> 5: plotBoxplotStats(stats, main = main, ylab = ylab, ...)
>> > >> >> 4: plotBoxplot.ChipEffectSet(ces, type = "RLE", ...)
>> > >> >> 3: plotBoxplot(ces, type = "RLE", ...)
>> > >> >> 2: plotRle.QualityAssessmentModel(qamTr)
>> > >> >> 1: plotRle(qamTr)
>> >
>> > >> >>> qamTr
>> > >> >> QualityAssessmentModel:
>> > >> >> Name: tissues
>> > >> >> Tags: RBC,QN,RMA,merged,QC
>> > >> >> Path: qcData/tissues,RBC,QN,RMA,merged,QC/HuEx-1_0-st-v2
>> > >> >> Chip-effect set:
>> > >> >> ExonChipEffectSet:
>> > >> >> Name: tissues
>> > >> >> Tags: RBC,QN,RMA,merged
>> > >> >> Path: plmData/tissues,RBC,QN,RMA,merged/HuEx-1_0-st-v2
>> > >> >> Platform: Affymetrix
>> > >> >> Chip type: HuEx-1_0-st-v2,monocell
>> > >> >> Number of arrays: 2
>> > >> >> Names: S370-A-HuEx-1_0-st-v2-01-1 (S09-13138), S371-A-HuEx-1_0-st-
>> > >> >> v2-01-1 (S09-07848)
>> > >> >> Time period: 2010-02-24 10:28:31 -- 2010-02-24 10:28:31
>> > >> >> Total file size: 5.43MB
>> > >> >> RAM: 0.01MB
>> > >> >> Parameters: (probeModel: chr "pm", mergeGroups: logi TRUE)
>> > >> >> RAM: 0.00MB
>> >
>> > >> >>> sessionInfo()
>> > >> >> R version 2.10.0 (2009-10-26)
>> > >> >> i386-pc-mingw32
>> >
>> > >> >> locale:
>> > >> >> [1] LC_COLLATE=English_Canada.1252 LC_CTYPE=English_Canada.1252
>> > >> >> LC_MONETARY=English_Canada.1252
>> > >> >> [4] LC_NUMERIC=C LC_TIME=English_Canada.1252
>> >
>> > >> >> attached base packages:
>> > >> >> [1] stats graphics grDevices utils datasets methods
>> > >> >> base
>> >
>> > >> >> other attached packages:
>> > >> >> [1] Biobase_2.6.0 aroma.affymetrix_1.3.0
>> > >> >> aroma.apd_0.1.7 affxparser_1.18.0
>> > >> >> [5] R.huge_0.2.0 aroma.core_1.3.1
>> > >> >> aroma.light_1.15.1 matrixStats_0.1.8
>> > >> >> [9] R.rsp_0.3.6 R.filesets_0.6.5
>> > >> >> digest_0.4.1 R.cache_0.2.0
>> > >> >> [13] R.utils_1.2.4 R.oo_1.6.5
>> > >> >> affy_1.24.2 R.methodsS3_1.0.3
>> >
>> > >> >> loaded via a namespace (and not attached):
>> > >> >> [1] affyio_1.14.0 preprocessCore_1.8.0
>> >
>> > >> >> How can i get more details on the error.
>> > >> >> I tried to use less CEL files and as few as 3, still no luck.
>> >
>> > >> >> Thanks in advance
>> >
>> > >> >> On Feb 24, 10:46 am, Henrik Bengtsson <henrik.bengts...@gmail.com>
>> > >> >> wrote:
>> > >> >>> Hi,
>> >
>> > >> >>> there are probably more output from the error, or ? If so, could
>> > >> >>> you
>> > >> >>> please provide us with that one? Also, whenever you get an error,
>> > >> >>> is
>> > >> >>> it is always helpful to report output of traceback() [see email
>> > >> >>> footer].
>> >
>> > >> >>> What's your sessionInfo()?
>> >
>> > >> >>> /Henrik
>> >
>> > >> >>> On Wed, Feb 24, 2010 at 7:29 PM, zaid <z...@genomedx.com> wrote:
>> > >> >>>> Error:
>> > >> >>>> Error in plot.window(xlim = xlim, ylim = ylim, log = log, yaxs =
>> > >> >>>> pars
>> > >> >>>> $yaxs) :
>> > >> >>>> NAs not allowed in 'ylim'
>> >
>> > >> >>>> On Feb 24, 10:19 am, zaid <z...@genomedx.com> wrote:
>> > >> >>>>> I was doing QC analysis in aroma in R on HuEx chip but got an
>> > >> >>>>> error
>> > >> >>>>> while trying to plot NUSE.
>> > >> >>>>> ylim contains NA.
>> >
>> > >> >>>>> I'm running R 2.10(32bit) on a windows 7(64bit).
>> >
>> > >> >>>>> my command:
>> > >> >>>>> library(aroma.affymetrix)
>> > >> >>>>> verbose <- Arguments$getVerbose(-8, timestamp=TRUE)
>> > >> >>>>> chipType <- "HuEx-1_0-st-v2"
>> > >> >>>>> cdf <- AffymetrixCdfFile$byChipType(chipType)
>> > >> >>>>> print(cdf)
>> > >> >>>>> cs <- AffymetrixCelSet$byName("tissues", cdf=cdf)
>> > >> >>>>> bc <- RmaBackgroundCorrection(cs)
>> > >> >>>>> csBC <- process(bc,verbose=verbose)
>> > >> >>>>> qn <- QuantileNormalization(csBC, typesToUpdate="pm")
>> > >> >>>>> csN <- process(qn, verbose=verbose)
>> > >> >>>>> plmTr <-
>> >
>> > ...
>> >
>> > read more ยป- Hide quoted text -
>> >
>> > - Show quoted text -
>
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