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 »- Hide quoted text -
>
> - Show quoted text -

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traceback(), and 3) to post a complete code example.


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