Hi Henrik,
Thanks for your reply.
I get
Statistical sanity checks (iff B >= 100)...
Field #1 ('tcn') of 4...
mean=1.8047, range=[1.79672,1.81258], n=15156
mean=1.7103, range=[1.68683,1.73451], n=1449
mean=1.8148, range=[1.80518,1.8243], n=10614
mean=1.9063, range=[1.88086,1.93251], n=1757
mean=1.8063, range=[1.78646,1.82722], n=2609
mean=1.9068, range=[1.89572,1.91696], n=10634
mean=1.968, range=[1.95805,1.97863], n=11580
mean=1.9316, range=[1.92209,1.94038], n=14313
mean=1.5654, range=[1.44976,1.69253], n=24
mean=2.13815, range=[2.10301,2.16987], n=1111
mean=2.2063, range=[2.15613,2.24568], n=769
mean=2.17853, range=[2.16259,2.19569], n=5849
mean=1.3989, range=[0.713311,2.00918], n=5
mean=NA, range=[NA,NA], n=0
mean=2.4012, range=[2.33236,2.46487], n=352
mean=2.9706, range=[2.91773,3.03072], n=849
mean=2.4297, range=[2.36293,2.51297], n=345
mean=2.7913, range=[2.73951,2.83993], n=932
mean=2.9512, range=[2.90223,3.0001], n=1206
mean=2.7529, range=[2.71359,2.79243], n=1568
mean=5.0963, range=[4.38476,5.74181], n=6
mean=2.8039, range=[2.74449,2.86477], n=649
mean=2.9969, range=[2.98574,3.0094], n=17880
mean=3.546, range=[3.49118,3.59413], n=1278
mean=3.8656, range=[3.8268,3.90099], n=4193
mean=3.8656, range=[3.8268,3.90099], n=4193
mean=2.7748, range=[2.59764,2.95961], n=63
mean=3.1181, range=[3.08514,3.15304], n=2665
mean=3.3677, range=[3.30253,3.43419], n=898
mean=3.198, range=[3.12122,3.2734], n=559
mean=2.7179, range=[2.59645,2.84069], n=189
mean=3.1643, range=[3.11939,3.20684], n=1812
mean=2.9993, range=[2.93235,3.06373], n=644
mean=2.808, range=[2.78317,2.83229], n=3725
mean=2.9411, range=[2.90161,2.98048], n=1505
mean=3.1943, range=[3.12907,3.26271], n=649
mean=2.9318, range=[2.90794,2.95572], n=4118
mean=3.188, range=[3.15639,3.21879], n=3282
mean=3.0313, range=[2.99859,3.06585], n=2459
mean=2.8684, range=[2.84352,2.89278], n=4497
mean=3.0151, range=[2.9895,3.04142], n=3718
mean=2.7903, range=[2.74472,2.83803], n=1027
mean=3.1104, range=[2.9115,3.2219], n=94
mean=5.2423, range=[4.4511,6.34827], n=5
mean=2.9283, range=[2.86237,2.99806], n=511
mean=3.151, range=[3.11551,3.18474], n=2364
mean=2.972, range=[2.95164,2.99418], n=6345
mean=NA, range=[NA,NA], n=0
mean=2.1594, range=[2.13923,2.18116], n=3169
mean=2.2456, range=[2.22776,2.26367], n=4018
mean=2.1282, range=[2.10191,2.1552], n=1900
mean=3.9688, range=[3.61876,4.3539], n=5
mean=2.1258, range=[2.06446,2.19542], n=255
mean=2.2482, range=[2.23571,2.26092], n=8513
mean=2.1435, range=[2.12764,2.15836], n=5278
mean=2.2946, range=[2.27967,2.30901], n=7239
and many more that contains some NAs
I have sent you another email with a link to download the R object with
the fit.
Cheers,
Oscar
Oscar M. Rueda, PhD.
Postdoctoral Research Fellow, Caldas Lab, Breast Cancer Functional
Genomics.
University of Cambridge. Cancer Research UK Cambridge Institute.
Li Ka Shing Centre, Robinson Way.
Cambridge CB2 0RE
England
Please note that my email address will be changing to:
Oscar...@cruk.cam.ac.uk
>Error in callAB (PSCBS)
><
http://groups.google.com/group/aroma-affymetrix/t/d066a381760d0543>
>
>Henrik Bengtsson <
henrik.b...@aroma-project.org>
> Feb 07 05:33PM -0800
>
>
>
>
>Hi,
>
>
>
>
>
>sorry for the delay - I've been "off the grid" since two weeks.
>
>
>
>
>
>> Error: all(segMean + tol >= range[, 1], na.rm = TRUE) is not TRUE
>
>
>> Calling segments of allelic balance from one-sided DH bootstrap
>>confidence
>
>
>> intervals...done
>
>
>
>
>
>That is an internal "sanity" check part of a bootstrap estimation that
>
>
>fails. The code has a lot of such assertion tests to validate that
>
>
>intermediate and final estimates are sound and valid. It may be that
>
>
>this one is a bit too conservative.
>
>
>
>
>
>To troubleshoot, with a sample that fails, first confirm that you get
>
>
>the same error by calling the internal bootstrap estimator explicitly:
>
>
>
>
>
>fitB <- bootstrapTCNandDHByRegion(fit, verbose=-10);
>
>
>
>
>
>It should, but if not, try another sample (aka 'fit'). Then, look for
>
>
>the verbose output that looks something like:
>
>
>
>
>
>Field #2 ('dh') of 4...
>
>
>mean: 0.6645 [0.648152,0.112718]
>
>
>mean: 0.1282 [0.648152,0.112718]
>
>
>mean: 0.3038 [0.648152,0.112718]
>
>
>mean: 0.6645, range: [0.648152,0.112718]
>
>
>mean: 0.1282, range: [0.648152,0.112718]
>
>
>mean: 0.3038, range: [0.648152,0.112718]
>
>
>...
>
>
>Tolerance (option 'PSCBS/sanityChecks/tolerance'): 5e-04
>
>
>
>
>
>and some segment table followed by the error message. What do you get?
>
>
>
>
>
>Also, when you find a sample that gives the error, save it
>
>
>
>
>
>saveObject(fit, "faultySample.Rbin")
>
>
>
>
>
>and make the file available to me for download (<20Mb can be emailed)
>
>
>and I can have a look at it.
>
>
>
>
>
>/Henrik
>
>
>
>
>
>
>
>
>
>
>
>
>Henrik Bengtsson <
henrik.b...@aroma-project.org>
> Feb 07 06:03PM -0800
>
>
>
>
>On Thu, Feb 7, 2013 at 5:33 PM, Henrik Bengtsson
>
>
>> ...
>
>
>> Tolerance (option 'PSCBS/sanityChecks/tolerance'): 5e-04
>
>
>
>
>
>> and some segment table followed by the error message. What do you get?
>
>
>
>
>
>Actually, before doing this, update to PSCBS 0.32.4;
>
>
>
>
>
>source("
>
http://aroma-project.org/hbLite.R
>");
>
>
>hbInstall("PSCBS");
>
>
>
>
>
>This should give a verbose output that instead looks like:
>
>
>
>
>
>Field #2 ('dh') of 4...
>
>
>mean=0.6645, range=[0.64765,0.68129], n=1047
>
>
>mean=0.1282, range=[0.114076,0.143011], n=388
>
>
>mean=0.3038, range=[0.290933,0.317302], n=664
>
>
>...
>
>
>Tolerance (option 'PSCBS/sanityChecks/tolerance'): 5e-04
>
>
>
>
>
>which is more informative for the troubleshooting. Now what do you get?
>
>
>
>
>
>/Henrik
>
>
>
>
>
>
>
>
> AromaUnitTotalCnBinarySet$byName- Error in cdf[[1]] : subscript out of
>bounds
><
http://groups.google.com/group/aroma-affymetrix/t/413453191153b6aa>
>
>Henrik Bengtsson <
henrik.b...@aroma-project.org>
> Feb 07 05:15PM -0800
>
>
>
>
>>> ds_CHI <- AromaUnitTotalCnBinarySet$byName(csR_CHI, tags=tags,
>
>
>>> chipType=chipType)
>
>
>> Error in cdf[[1]] : subscript out of bounds
>
>
>
>
>
>Did you really mean to use object 'csR_CHI' in that last call, or did you
>mean:
>
>
>
>
>
>ds_CHI <- AromaUnitTotalCnBinarySet$byName("47Chinese_CEL", tags=tags,
>
>
>chipType=chipType)
>
>
>
>
>
>?
>
>
>
>
>
>Henrik
>
>
>
>
>
>
>
>
>You received this message because you are subscribed to the Google Group
>aroma-affymetrix.
>You can
>post via email <mailto:
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>
>--
>--
>When reporting problems on aroma.affymetrix, make sure 1) to run the
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>and traceback(), and 3) to post a complete code example.
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