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Mariona Jove

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Sep 13, 2012, 10:21:00 AM9/13/12
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Hi

Because some problems were detected in initial combined macros, we have run the macros separately. We started with run XCMS and apparently it converted all the mzXML files to peakml files. However, when we tried to run the MZmatch an error appeared. With the first macros there were several warnings (see below).

Any idea?

Thanks

Mariona


R version 2.15.1 (2012-06-22) -- "Roasted Marshmallows"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: x86_64-pc-mingw32/x64 (64-bit)

R es un software libre y viene sin GARANTIA ALGUNA.
Usted puede redistribuirlo bajo ciertas circunstancias.
Escriba 'license()' o 'licence()' para detalles de distribucion.

R es un proyecto colaborativo con muchos contribuyentes.
Escriba 'contributors()' para obtener más información y
'citation()' para saber cómo citar R o paquetes de R en publicaciones.

Escriba 'demo()' para demostraciones, 'help()' para el sistema on-line de ayuda,
o 'help.start()' para abrir el sistema de ayuda HTML con su navegador.
Escriba 'q()' para salir de R.

> setwd("C:/ideom_examples")
>
> library (rJava)
> if (.Platform$OS.type == 'windows' & .Platform$r_arch == 'i386') {print('Loading XP 32bit startup')
+ .jinit ()}
> library (mzmatch.R)
Loading required package: xcms
Loading required package: mzR
Loading required package: Rcpp
Loading required package: XML
Loading required package: snow
Loading required package: caTools
Loading required package: bitops
Loading required package: ptw
> mzmatch.init (4000)
>
> rawfiles <- dir (full.names=TRUE,pattern="\\.mzXML$",recursive=TRUE)
> outputfiles <- paste(sub(".mzXML$","",rawfiles),".peakml",sep="")
> for (i in 1:length(rawfiles)){xset <- xcmsSet(rawfiles[i], method='centWave', ppm=2, peakwidth=c(5,100), snthresh=3, prefilter=c(3,1000), integrate=1, mzdiff=0,001, verbose.columns=TRUE, fitgauss=FALSE)
+ PeakML.xcms.write.SingleMeasurement (xset=xset,filename=outputfiles[i],ionisation="positive",addscans=2,writeRejected=FALSE,ApodisationFilter=TRUE)}
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 302 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 99  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData15.mzXML
59  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 336 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 102  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData16.mzXML
73  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 300 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 113  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData17.mzXML
85  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 319 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 119  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData18.mzXML
92  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 299 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 111  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData19.mzXML
79  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 285 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 100  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData20.mzXML
71  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 288 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 91  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData21.mzXML
60  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 632 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 252  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData40.mzXML
187  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 637 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 233  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData41.mzXML
178  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 1102 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 358  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData42.mzXML
273  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 954 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 293  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData43.mzXML
221  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 756 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 279  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData44.mzXML
216  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 758 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 312  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData45.mzXML
237  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 722 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 258  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData46.mzXML
194  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 682 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 253  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData47.mzXML
182  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 659 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 235  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData48.mzXML
178  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 440 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 170  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData64.mzXML
119  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 419 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 148  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData66.mzXML
98  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 392 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 138  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData67.mzXML
105  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 336 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 112  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData69.mzXML
87  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 372 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 151  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData70.mzXML
105  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 378 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 145  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR PROFUND_pos/WorklistData71.mzXML
105  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 347 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 113  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData10.mzXML
82  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 337 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 130  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData11.mzXML
94  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 350 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 122  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData12.mzXML
80  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 311 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 109  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData13.mzXML
79  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 328 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 102  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData14.mzXML
71  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 304 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 106  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData31.mzXML
82  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 354 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 127  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData32.mzXML
90  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 299 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 109  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData33.mzXML
88  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 274 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 97  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData34.mzXML
70  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 289 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 105  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData35.mzXML
74  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 319 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 115  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData36.mzXML
84  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 287 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 96  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData37.mzXML
70  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 314 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 110  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData38.mzXML
70  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 295 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 99  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData39.mzXML
76  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 700 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 261  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData49.mzXML
190  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 621 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 241  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData50.mzXML
184  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 627 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 266  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData51.mzXML
197  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 545 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 218  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData52.mzXML
155  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 599 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 202  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData53.mzXML
154  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 537 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 215  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData54.mzXML
157  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 400 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 139  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData8.mzXML
103  peaks exported.
1:
 Detecting mass traces at 2 ppm ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 423 m/z ROI's.

 Detecting chromatographic peaks ...
 % finished: 0 10 20 30 40 50 60 70 80 90 100
 150  Peaks.
retrieving raw data
- C:/ideom_examples/./TUMOR SUPERFICIAL_pos/WorklistData9.mzXML
103  peaks exported.
Hubo 44 avisos (use warnings() para verlos)
> warnings()
Warning messages:
1: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
2: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
3: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
4: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
5: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
6: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
7: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
8: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
9: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
10: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
11: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
12: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
13: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
14: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
15: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
16: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
17: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
18: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
19: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
20: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
21: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
22: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
23: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
24: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
25: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
26: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
27: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
28: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
29: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
30: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
31: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
32: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
33: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
34: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
35: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
36: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
37: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
38: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
39: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
40: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
41: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
42: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
43: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
44: In is.na<http://is.na>(x) :
  is.na<http://is.na>() aplicado a un objeto que no es (lista o vector) de tipo 'NULL
> 0){mzmatch.ipeak.Combine (i=paste(FILESf,collapse=","),v=T,rtwindow=30,o=OUTPUTf,combination="set",ppm=5,label=paste(MainClasses[i],sep=""))
Error: inesperado ')' en "0)"
> 1) mzmatch.ipeak.filter.RSDFilter(i=OUTPUTf,o=RSDf,rejected=REJf,rsd=0,5,v=T) else file.copy(OUTPUTf,RSDf)}}
Error: inesperado ')' en "1)"
> 0){mzmatch.ipeak.Combine (i=paste(FILESf,collapse=","),v=T,rtwindow=30,o=OUTPUTf,combination="set",ppm=5,label=paste(MainClasses[i],sep=""))
Error: inesperado ')' en "0)"
> 1) mzmatch.ipeak.filter.RSDFilter(i=OUTPUTf,o=RSDf,rejected=REJf,rsd=0,5,v=T) else file.copy(OUTPUTf,RSDf)}}
Error: inesperado ')' en "1)"
> setwd("C:/ideom_examples")
>
> library (rJava)
> if (.Platform$OS.type == 'windows' & .Platform$r_arch == 'i386') {print('Loading XP 32bit startup')
+ .jinit ()}
> library (mzmatch.R)
> mzmatch.init (4000)
>
> MainClasses <- dir ()
> dir.create ("combined_RSD_filtered")
Mensajes de aviso perdidos
In dir.create("combined_RSD_filtered") :
  'combined_RSD_filtered' already exists
> dir.create ("combined_RSD_rejected")
Mensajes de aviso perdidos
In dir.create("combined_RSD_rejected") :
  'combined_RSD_rejected' already exists
> dir.create ("combined")
Mensajes de aviso perdidos
In dir.create("combined") : 'combined' already exists
> for (i in 1:length(MainClasses)){FILESf <- dir (MainClasses[i],full.names=TRUE,pattern="\\.peakml$",recursive=TRUE)
+ OUTPUTf <- paste ("combined/",MainClasses[i],".peakml",sep="")
+ if(length(FILESf)>0){mzmatch.ipeak.Combine (i=paste(FILESf,collapse=","),v=T,rtwindow=30,o=OUTPUTf,combination="set",ppm=5,label=paste(MainClasses[i],sep=""))
+ RSDf <- paste ("combined_RSD_filtered/",MainClasses[i],".peakml",sep="")
+ REJf <- paste ("combined_RSD_rejected/",MainClasses[i],".peakml",sep="")
+ if(length(FILESf)>1) mzmatch.ipeak.filter.RSDFilter(i=OUTPUTf,o=RSDf,rejected=REJf,rsd=0,5,v=T) else file.copy(OUTPUTf,RSDf)}}
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| Combine 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  v:           true
  rtwindow:    30.0
  ppm:         5.0
  labels:      []
  combination: set
  o:           PROFUND_pos.peakml
  label:       PROFUND_pos
  h:           false
  i:           [TUMOR, PROFUND_pos/WorklistData15.peakml, TUMOR, PROFUND_pos/WorklistData16.peakml, TUMOR, PROFUND_pos/WorklistData17.peakml, TUMOR, PROFUND_pos/WorklistData18.peakml, TUMOR, PROFUND_pos/WorklistData19.peakml, TUMOR, PROFUND_pos/WorklistData20.peakml, TUMOR, PROFUND_pos/WorklistData21.peakml, TUMOR, PROFUND_pos/WorklistData40.peakml, TUMOR, PROFUND_pos/WorklistData41.peakml, TUMOR, PROFUND_pos/WorklistData42.peakml, TUMOR, PROFUND_pos/WorklistData43.peakml, TUMOR, PROFUND_pos/WorklistData44.peakml, TUMOR, PROFUND_pos/WorklistData45.peakml, TUMOR, PROFUND_pos/WorklistData46.peakml, TUMOR, PROFUND_pos/WorklistData47.peakml, TUMOR, PROFUND_pos/WorklistData48.peakml, TUMOR, PROFUND_pos/WorklistData64.peakml, TUMOR, PROFUND_pos/WorklistData66.peakml, TUMOR, PROFUND_pos/WorklistData67.peakml, TUMOR, PROFUND_pos/WorklistData69.peakml, TUMOR, PROFUND_pos/WorklistData70.peakml, TUMOR, PROFUND_pos/WorklistData71.peakml]
}
Loading:
- TUMOR
java.io.FileNotFoundException: TUMOR (El sistema no puede encontrar el archivo especificado)
        at java.io.FileInputStream.open(Native Method)
        at java.io.FileInputStream.<init>(Unknown Source)
        at java.io.FileInputStream.<init>(Unknown Source)
        at mzmatch.ipeak.Combine.main(Combine.java:338)
Error occurred during initialization of VM
Too small initial heap for new size specified
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| Combine 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  v:           true
  rtwindow:    30.0
  ppm:         5.0
  labels:      []
  combination: set
  o:           SUPERFICIAL_pos.peakml
  label:       SUPERFICIAL_pos
  h:           false
  i:           [TUMOR, SUPERFICIAL_pos/WorklistData10.peakml, TUMOR, SUPERFICIAL_pos/WorklistData11.peakml, TUMOR, SUPERFICIAL_pos/WorklistData12.peakml, TUMOR, SUPERFICIAL_pos/WorklistData13.peakml, TUMOR, SUPERFICIAL_pos/WorklistData14.peakml, TUMOR, SUPERFICIAL_pos/WorklistData31.peakml, TUMOR, SUPERFICIAL_pos/WorklistData32.peakml, TUMOR, SUPERFICIAL_pos/WorklistData33.peakml, TUMOR, SUPERFICIAL_pos/WorklistData34.peakml, TUMOR, SUPERFICIAL_pos/WorklistData35.peakml, TUMOR, SUPERFICIAL_pos/WorklistData36.peakml, TUMOR, SUPERFICIAL_pos/WorklistData37.peakml, TUMOR, SUPERFICIAL_pos/WorklistData38.peakml, TUMOR, SUPERFICIAL_pos/WorklistData39.peakml, TUMOR, SUPERFICIAL_pos/WorklistData49.peakml, TUMOR, SUPERFICIAL_pos/WorklistData50.peakml, TUMOR, SUPERFICIAL_pos/WorklistData51.peakml, TUMOR, SUPERFICIAL_pos/WorklistData52.peakml, TUMOR, SUPERFICIAL_pos/WorklistData53.peakml, TUMOR, SUPERFICIAL_pos/WorklistData54.peakml, TUMOR, SUPERFICIAL_pos/WorklistData8.peakml, TUMOR, SUPERFICIAL_pos/WorklistData9.peakml]
}
Loading:
- TUMOR
java.io.FileNotFoundException: TUMOR (El sistema no puede encontrar el archivo especificado)
        at java.io.FileInputStream.open(Native Method)
        at java.io.FileInputStream.<init>(Unknown Source)
        at java.io.FileInputStream.<init>(Unknown Source)
        at mzmatch.ipeak.Combine.main(Combine.java:338)
Error occurred during initialization of VM
Too small initial heap for new size specified
Mensajes de aviso perdidos
1: comando ejecutado 'java -da -dsa -Xmn1g -Xss160k -XX:+UseParallelGC -XX:ParallelGCThreads=10 -Xms5m -Xmx5m -cp C:/R/library/mzmatch.R/java/mzmatch.jar mzmatch.ipeak.filter.RSDFilter -i combined/TUMOR PROFUND_pos.peakml -o combined_RSD_filtered/TUMOR PROFUND_pos.peakml -rejected combined_RSD_rejected/TUMOR PROFUND_pos.peakml -rsd 0 -v' tiene estatus 1
2: comando ejecutado 'java -da -dsa -Xmn1g -Xss160k -XX:+UseParallelGC -XX:ParallelGCThreads=10 -Xms5m -Xmx5m -cp C:/R/library/mzmatch.R/java/mzmatch.jar mzmatch.ipeak.filter.RSDFilter -i combined/TUMOR SUPERFICIAL_pos.peakml -o combined_RSD_filtered/TUMOR SUPERFICIAL_pos.peakml -rejected combined_RSD_rejected/TUMOR SUPERFICIAL_pos.peakml -rsd 0 -v' tiene estatus 1
> INPUTDIR <- "combined_RSD_filtered"
> FILESf <- dir (INPUTDIR,full.names=TRUE,pattern="\\.peakml$")
> mzmatch.ipeak.Combine(i=paste(FILESf,collapse=","),v=T,rtwindow=30,o="combined.peakml",combination="set",ppm=5)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| Combine 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  v:           true
  rtwindow:    30.0
  ppm:         5.0
  labels:      []
  combination: set
  o:           null
  label:       null
  h:           false
  i:           [-o, combined.peakml]
}
Loading:
- -o
java.io.FileNotFoundException: -o (El sistema no puede encontrar el archivo especificado)
        at java.io.FileInputStream.open(Native Method)
        at java.io.FileInputStream.<init>(Unknown Source)
        at java.io.FileInputStream.<init>(Unknown Source)
        at mzmatch.ipeak.Combine.main(Combine.java:338)
> mzmatch.ipeak.filter.NoiseFilter (i="combined.peakml",o="combined_noisef.peakml",v=T,codadw=0,8)
Error occurred during initialization of VM
Too small initial heap for new size specified
Mensajes de aviso perdidos
comando ejecutado 'java -da -dsa -Xmn1g -Xss160k -XX:+UseParallelGC -XX:ParallelGCThreads=10 -Xms8m -Xmx8m -cp C:/R/library/mzmatch.R/java/mzmatch.jar mzmatch.ipeak.filter.NoiseFilter -i combined.peakml -o combined_noisef.peakml -codadw 0 -v' tiene estatus 1
> mzmatch.ipeak.filter.SimpleFilter(i="combined_noisef.peakml", o="combined_sfdet.peakml", mindetections=3, v=T)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| SimpleFilter 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  maxretentiontime: -1.0
  n:                -1
  o:                combined_sfdet.peakml
  minmass:          -1.0
  h:                false
  i:                [combined_noisef.peakml]
  minscanid:        -1.0
  v:                true
  maxintensity:     -1.0
  mindetections:    3
  ppm:              0.0
  databases:        []
  rejected:         null
  minretentiontime: -1.0
  annotations:      []
  maxscanid:        -1.0
  offset:           0
  maxmass:          -1.0
  minintensity:     -1.0
}
[ERROR]: the input-file 'combined_noisef.peakml' does not exist.
> mzmatch.ipeak.filter.SimpleFilter(i="combined_sfdet.peakml", o="combined_highintensity.peakml", minintensity=3000, v=T)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| SimpleFilter 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  maxretentiontime: -1.0
  n:                -1
  o:                combined_highintensity.peakml
  minmass:          -1.0
  h:                false
  i:                [combined_sfdet.peakml]
  minscanid:        -1.0
  v:                true
  maxintensity:     -1.0
  mindetections:    -1
  ppm:              0.0
  databases:        []
  rejected:         null
  minretentiontime: -1.0
  annotations:      []
  maxscanid:        -1.0
  offset:           0
  maxmass:          -1.0
  minintensity:     3000.0
}
[ERROR]: the input-file 'combined_sfdet.peakml' does not exist.
> PeakML.GapFiller(filename = "combined_highintensity.peakml", ionisation = "detect", Rawpath = NULL, outputfile = "highintensity_gapfilled.peakml", ppm = 0, rtwin = 0)
Error: XML content does not seem to be XML, nor to identify a file name 'combined_highintensity.peakml'
Timing stopped at: 0 0 0
Timing stopped at: 0.06 0 0.06
> mzmatch.ipeak.sort.RelatedPeaks (i="highintensity_gapfilled.peakml",v=T,o="mzMatch_output.peakml",basepeaks="mzMatch_basepeaks.peakml",ppm=5,rtwindow=6)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| RelatedPeaks 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  v:         true
  minrt:     -1.0
  rtwindow:  6.0
  ppm:       5.0
  basepeaks: mzMatch_basepeaks.peakml
  o:         mzMatch_output.peakml
  h:         false
  i:         highintensity_gapfilled.peakml
}
loading data
java.io.FileNotFoundException: highintensity_gapfilled.peakml (El sistema no puede encontrar el archivo especificado)
        at java.io.FileInputStream.open(Native Method)
        at java.io.FileInputStream.<init>(Unknown Source)
        at java.io.FileInputStream.<init>(Unknown Source)
        at mzmatch.ipeak.sort.RelatedPeaks.main(RelatedPeaks.java:257)
> annot <- paste("relation.id<http://relation.id>,relation.ship,codadw,charge")
> mzmatch.ipeak.convert.ConvertToText (i="mzMatch_output.peakml",o="mzMATCHoutput.txt",v=T,annotations=annot)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| ConvertToText 1.0.1
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  v:           true
  databases:   []
  o:           mzMATCHoutput.txt
  annotations: [relation.id<http://relation.id>, relation.ship, codadw, charge]
  h:           false
  i:           [mzMatch_output.peakml]
}
[ERROR]: the input-file 'mzMatch_output.peakml' does not exist.
>



2012/9/12 Gavin Blackburn <gavin.b...@strath.ac.uk<mailto:gavin.b...@strath.ac.uk>>
Hi Mariona,

I now know exactly what the problem is. There is a bug with the combined buttons in IDEOM. If you run the macros separately it should run fine. The peak extraction will take a couple of hours depending on your computer so remember to allow enough time to start the next part.

Sorry for the late reply, I'm teaching at a workshop all week.

Cheers,

Gavin.


Sent from my HTC

----- Reply message -----
From: "Mariona Jove" <mariona....@gmail.com<mailto:mariona....@gmail.com>>
To: "Gavin Blackburn" <gavin.b...@strath.ac.uk<mailto:gavin.b...@strath.ac.uk>>
Subject: [IDEOM forum]: Digest for id...@googlegroups.com<mailto:id...@googlegroups.com> - 1 Message in 1 Topic
Date: Wed, Sep 12, 2012 10:32



Hi Gavin

No, we had just started all the software in that moment. We have repeated today, and the same error appears. We have also tryied with the IDEOM_demo_mzXMLfiles and the same error happens (see below).
Do you know if it could come from the installation of R packages?

Thanks for your support

Cheers,

Mariona


R version 2.15.1 (2012-06-22) -- "Roasted Marshmallows"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: x86_64-pc-mingw32/x64 (64-bit)

R es un software libre y viene sin GARANTIA ALGUNA.
Usted puede redistribuirlo bajo ciertas circunstancias.
Escriba 'license()' o 'licence()' para detalles de distribucion.

R es un proyecto colaborativo con muchos contribuyentes.
Escriba 'contributors()' para obtener más información y
'citation()' para saber cómo citar R o paquetes de R en publicaciones.

Escriba 'demo()' para demostraciones, 'help()' para el sistema on-line de ayuda,
o 'help.start()' para abrir el sistema de ayuda HTML con su navegador.
Escriba 'q()' para salir de R.

> setwd("C:/POS")
>
> library (rJava)
> if (.Platform$OS.type == 'windows' & .Platform$r_arch == 'i386') {print('Loading XP 32bit startup')
+ .jinit ()}
> library (mzmatch.R)
Loading required package: xcms
Loading required package: mzR
Loading required package: Rcpp
Loading required package: XML
Loading required package: snow
Loading required package: caTools
Loading required package: bitops
Loading required package: ptw
> mzmatch.init (4000)
>
>
>
> MainClasses <- dir ()
> dir.create ("combined_RSD_filtered")
> dir.create ("combined_RSD_rejected")
> dir.create ("combined")
> for (i in 1:length(MainClasses)){FILESf <- dir (MainClasses[i],full.names=TRUE,pattern="\\.peakml$",recursive=TRUE)
+ OUTPUTf <- paste ("combined/",MainClasses[i],".peakml",sep="")
+ if(length(FILESf)>0){mzmatch.ipeak.Combine (i=paste(FILESf,collapse=","),v=T,rtwindow=30,o=OUTPUTf,combination="set",ppm=5,label=paste(MainClasses[i],sep=""))
+ RSDf <- paste ("combined_RSD_filtered/",MainClasses[i],".peakml",sep="")
+ REJf <- paste ("combined_RSD_rejected/",MainClasses[i],".peakml",sep="")
+ if(length(FILESf)>1) mzmatch.ipeak.filter.RSDFilter(i=OUTPUTf,o=RSDf,rejected=REJf,rsd=0,5,v=T) else file.copy(OUTPUTf,RSDf)}}
> INPUTDIR <- "combined_RSD_filtered"
> FILESf <- dir (INPUTDIR,full.names=TRUE,pattern="\\.peakml$")
> mzmatch.ipeak.Combine(i=paste(FILESf,collapse=","),v=T,rtwindow=30,o="combined.peakml",combination="set",ppm=5)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| Combine 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  v:           true
  rtwindow:    30.0
  ppm:         5.0
  labels:      []
  combination: set
  o:           null
  label:       null
  h:           false
  i:           [-o, combined.peakml]
}
Loading:
- -o
java.io.FileNotFoundException: -o (El sistema no puede encontrar el archivo especificado)
        at java.io.FileInputStream.open(Native Method)
        at java.io.FileInputStream.<init>(Unknown Source)
        at java.io.FileInputStream.<init>(Unknown Source)
        at mzmatch.ipeak.Combine.main(Combine.java:338)
> mzmatch.ipeak.filter.NoiseFilter (i="combined.peakml",o="combined_noisef.peakml",v=T,codadw=0,8)
Error occurred during initialization of VM
Too small initial heap for new size specified
Mensajes de aviso perdidos
comando ejecutado 'java -da -dsa -Xmn1g -Xss160k -XX:+UseParallelGC -XX:ParallelGCThreads=10 -Xms8m -Xmx8m -cp C:/R/library/mzmatch.R/java/mzmatch.jar mzmatch.ipeak.filter.NoiseFilter -i combined.peakml -o combined_noisef.peakml -codadw 0 -v' tiene estatus 1
> mzmatch.ipeak.filter.SimpleFilter(i="combined_noisef.peakml", o="combined_sfdet.peakml", mindetections=3, v=T)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| SimpleFilter 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  maxretentiontime: -1.0
  n:                -1
  o:                combined_sfdet.peakml
  minmass:          -1.0
  h:                false
  i:                [combined_noisef.peakml]
  minscanid:        -1.0
  v:                true
  maxintensity:     -1.0
  mindetections:    3
  ppm:              0.0
  databases:        []
  rejected:         null
  minretentiontime: -1.0
  annotations:      []
  maxscanid:        -1.0
  offset:           0
  maxmass:          -1.0
  minintensity:     -1.0
}
[ERROR]: the input-file 'combined_noisef.peakml' does not exist.
> mzmatch.ipeak.filter.SimpleFilter(i="combined_sfdet.peakml", o="combined_highintensity.peakml", minintensity=3000, v=T)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| SimpleFilter 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  maxretentiontime: -1.0
  n:                -1
  o:                combined_highintensity.peakml
  minmass:          -1.0
  h:                false
  i:                [combined_sfdet.peakml]
  minscanid:        -1.0
  v:                true
  maxintensity:     -1.0
  mindetections:    -1
  ppm:              0.0
  databases:        []
  rejected:         null
  minretentiontime: -1.0
  annotations:      []
  maxscanid:        -1.0
  offset:           0
  maxmass:          -1.0
  minintensity:     3000.0
}
[ERROR]: the input-file 'combined_sfdet.peakml' does not exist.
> PeakML.GapFiller(filename = "combined_highintensity.peakml", ionisation = "positive", Rawpath = NULL, outputfile = "highintensity_gapfilled.peakml", ppm = 0, rtwin = 0)
Error: XML content does not seem to be XML, nor to identify a file name 'combined_highintensity.peakml'
Timing stopped at: 0 0 0
Timing stopped at: 0.06 0 0.07
> mzmatch.ipeak.sort.RelatedPeaks (i="highintensity_gapfilled.peakml",v=T,o="mzMatch_output.peakml",basepeaks="mzMatch_basepeaks.peakml",ppm=5,rtwindow=6)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| RelatedPeaks 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  v:         true
  minrt:     -1.0
  rtwindow:  6.0
  ppm:       5.0
  basepeaks: mzMatch_basepeaks.peakml
  o:         mzMatch_output.peakml
  h:         false
  i:         highintensity_gapfilled.peakml
}
loading data
java.io.FileNotFoundException: highintensity_gapfilled.peakml (El sistema no puede encontrar el archivo especificado)
        at java.io.FileInputStream.open(Native Method)
        at java.io.FileInputStream.<init>(Unknown Source)
        at java.io.FileInputStream.<init>(Unknown Source)
        at mzmatch.ipeak.sort.RelatedPeaks.main(RelatedPeaks.java:257)
> annot <- paste("relation.id<http://relation.id><http://relation.id>,relation.ship,codadw,charge")
> mzmatch.ipeak.convert.ConvertToText (i="mzMatch_output.peakml",o="mzMATCHoutput.txt",v=T,annotations=annot)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| ConvertToText 1.0.1
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  v:           true
  databases:   []
  o:           mzMATCHoutput.txt
  annotations: [relation.id<http://relation.id><http://relation.id>, relation.ship, codadw, charge]
  h:           false
  i:           [mzMatch_output.peakml]
}
[ERROR]: the input-file 'mzMatch_output.peakml' does not exist.

2012/9/11 Gavin Blackburn <gavin.b...@strath.ac.uk<mailto:gavin.b...@strath.ac.uk><mailto:gavin.b...@strath.ac.uk<mailto:gavin.b...@strath.ac.uk>>>
Hi Mariona,

Was there an error before that one?

It's saying it can't find the expected file, but I can't tell why from that. Was there was a GCOverhead limit error as well?

Cheers,

Gavin.
________________________________________
From: id...@googlegroups.com<mailto:id...@googlegroups.com><mailto:id...@googlegroups.com<mailto:id...@googlegroups.com>> [id...@googlegroups.com<mailto:id...@googlegroups.com><mailto:id...@googlegroups.com<mailto:id...@googlegroups.com>>] On Behalf Of Mariona Jove [mariona....@gmail.com<mailto:mariona....@gmail.com><mailto:mariona....@gmail.com<mailto:mariona....@gmail.com>>]
Sent: 10 September 2012 18:03
To: id...@googlegroups.com<mailto:id...@googlegroups.com><mailto:id...@googlegroups.com<mailto:id...@googlegroups.com>>
Subject: Re: [IDEOM forum]: Digest for id...@googlegroups.com<mailto:id...@googlegroups.com><mailto:id...@googlegroups.com<mailto:id...@googlegroups.com>> - 1 Message in 1 Topic

Hi
While trying to perform first steps (xcms and mzmatch) for our data, the following error appears.

java.io.FileNotFoundException: highintensity_gapfilled.peakml (El sistema no puede encontrar el archivo especificado)
    at java.io.FileInputStream.open(Native Method)
    at java.io.FileInputStream.<init>(Unknown Source)
    at java.io.FileInputStream.<init>(Unknown Source)
    at mzmatch.ipeak.sort.RelatedPeaks.main(RelatedPeaks.java:257)

 We set the memory for IDEOM up to 8000 bytes..Any idea?

Thanks in advance

Mariona

The R dialog follows
> setwd("C:/ideom_examples")
>
> library (rJava)
> if (.Platform$OS.type == 'windows' & .Platform$r_arch == 'i386') {print('Loading XP 32bit startup')
+ .jinit ()}
> library (mzmatch.R)
Loading required package: xcms
Loading required package: mzR
Loading required package: Rcpp
Loading required package: XML
Loading required package: snow
Loading required package: caTools
Loading required package: bitops
Loading required package: ptw
> mzmatch.init (8000)
>
>
>
> MainClasses <- dir ()
> dir.create ("combined_RSD_filtered")
> dir.create ("combined_RSD_rejected")
> dir.create ("combined")
> for (i in 1:length(MainClasses)){FILESf <- dir (MainClasses[i],full.names=TRUE,pattern="\\.peakml$",recursive=TRUE)
+ OUTPUTf <- paste ("combined/",MainClasses[i],".peakml",sep="")
+ if(length(FILESf)>0){mzmatch.ipeak.Combine (i=paste(FILESf,collapse=","),v=T,rtwindow=30,o=OUTPUTf,combination="set",ppm=5,label=paste(MainClasses[i],sep=""))
+ RSDf <- paste ("combined_RSD_filtered/",MainClasses[i],".peakml",sep="")
+ REJf <- paste ("combined_RSD_rejected/",MainClasses[i],".peakml",sep="")
+ if(length(FILESf)>1) mzmatch.ipeak.filter.RSDFilter(i=OUTPUTf,o=RSDf,rejected=REJf,rsd=0,5,v=T) else file.copy(OUTPUTf,RSDf)}}
> INPUTDIR <- "combined_RSD_filtered"
> FILESf <- dir (INPUTDIR,full.names=TRUE,pattern="\\.peakml$")
> mzmatch.ipeak.Combine(i=paste(FILESf,collapse=","),v=T,rtwindow=30,o="combined.peakml",combination="set",ppm=5)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| Combine 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  v:           true
  rtwindow:    30.0
  ppm:         5.0
  labels:      []
  combination: set
  o:           null
  label:       null
  h:           false
  i:           [-o, combined.peakml]
}
Loading:
- -o
java.io.FileNotFoundException: -o (El sistema no puede encontrar el archivo especificado)
        at java.io.FileInputStream.open(Native Method)
        at java.io.FileInputStream.<init>(Unknown Source)
        at java.io.FileInputStream.<init>(Unknown Source)
        at mzmatch.ipeak.Combine.main(Combine.java:338)
> mzmatch.ipeak.filter.NoiseFilter (i="combined.peakml",o="combined_noisef.peakml",v=T,codadw=0,8)
Error occurred during initialization of VM
Too small initial heap for new size specified
Mensajes de aviso perdidos
comando ejecutado 'java -da -dsa -Xmn1g -Xss160k -XX:+UseParallelGC -XX:ParallelGCThreads=10 -Xms8m -Xmx8m -cp C:/R/library/mzmatch.R/java/mzmatch.jar mzmatch.ipeak.filter.NoiseFilter -i combined.peakml -o combined_noisef.peakml -codadw 0 -v' tiene estatus 1
> mzmatch.ipeak.filter.SimpleFilter(i="combined_noisef.peakml", o="combined_sfdet.peakml", mindetections=3, v=T)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| SimpleFilter 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  maxretentiontime: -1.0
  n:                -1
  o:                combined_sfdet.peakml
  minmass:          -1.0
  h:                false
  i:                [combined_noisef.peakml]
  minscanid:        -1.0
  v:                true
  maxintensity:     -1.0
  mindetections:    3
  ppm:              0.0
  databases:        []
  rejected:         null
  minretentiontime: -1.0
  annotations:      []
  maxscanid:        -1.0
  offset:           0
  maxmass:          -1.0
  minintensity:     -1.0
}
[ERROR]: the input-file 'combined_noisef.peakml' does not exist.
> mzmatch.ipeak.filter.SimpleFilter(i="combined_sfdet.peakml", o="combined_highintensity.peakml", minintensity=3000, v=T)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| SimpleFilter 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  maxretentiontime: -1.0
  n:                -1
  o:                combined_highintensity.peakml
  minmass:          -1.0
  h:                false
  i:                [combined_sfdet.peakml]
  minscanid:        -1.0
  v:                true
  maxintensity:     -1.0
  mindetections:    -1
  ppm:              0.0
  databases:        []
  rejected:         null
  minretentiontime: -1.0
  annotations:      []
  maxscanid:        -1.0
  offset:           0
  maxmass:          -1.0
  minintensity:     3000.0
}
[ERROR]: the input-file 'combined_sfdet.peakml' does not exist.
> PeakML.GapFiller(filename = "combined_highintensity.peakml", ionisation = "positive", Rawpath = NULL, outputfile = "highintensity_gapfilled.peakml", ppm = 0, rtwin = 0)
Error: XML content does not seem to be XML, nor to identify a file name 'combined_highintensity.peakml'
Timing stopped at: 0 0 0
Timing stopped at: 0.04 0 0.05
> mzmatch.ipeak.sort.RelatedPeaks (i="highintensity_gapfilled.peakml",v=T,o="mzMatch_output.peakml",basepeaks="mzMatch_basepeaks.peakml",ppm=5,rtwindow=6)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| RelatedPeaks 1.0.0
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  v:         true
  minrt:     -1.0
  rtwindow:  6.0
  ppm:       5.0
  basepeaks: mzMatch_basepeaks.peakml
  o:         mzMatch_output.peakml
  h:         false
  i:         highintensity_gapfilled.peakml
}
loading data
java.io.FileNotFoundException: highintensity_gapfilled.peakml (El sistema no puede encontrar el archivo especificado)
        at java.io.FileInputStream.open(Native Method)
        at java.io.FileInputStream.<init>(Unknown Source)
        at java.io.FileInputStream.<init>(Unknown Source)
        at mzmatch.ipeak.sort.RelatedPeaks.main(RelatedPeaks.java:257)
> annot <- paste("relation.id<http://relation.id><http://relation.id><http://relation.id>,relation.ship,codadw,charge")
> mzmatch.ipeak.convert.ConvertToText (i="mzMatch_output.peakml",o="mzMATCHoutput.txt",v=T,annotations=annot)
 ------------------------------------------------------
| Copyright 2007-2009
| Groningen Bioinformatics Centre
| University of Groningen
|
| ConvertToText 1.0.1
|
| libraries:
|  - jfreechart    1.0.13
|  - itext         2.1.7
|  - jama          1.0.2
|  - lma           1.4.0
|  - cmdline       2.0.0
|  - domsax        1.1.0
|  - peakml        1.0.0
|  - mzmatch       1.0.2
 ------------------------------------------------------
Options {
  v:           true
  databases:   []
  o:           mzMATCHoutput.txt
  annotations: [relation.id<http://relation.id><http://relation.id><http://relation.id>, relation.ship, codadw, charge]
  h:           false
  i:           [mzMatch_output.peakml]
}
[ERROR]: the input-file 'mzMatch_output.peakml' does not exist.
>
>
>




2012/9/7 Mariona Jove <mariona....@gmail.com<mailto:mariona....@gmail.com><mailto:mariona....@gmail.com<mailto:mariona....@gmail.com>><mailto:mariona....@gmail.com<mailto:mariona....@gmail.com><mailto:mariona....@gmail.com<mailto:mariona....@gmail.com>>>>

Dear Unni and Darren

Thanks a lot for the information. Finally I could install properly the software.

Best regards

Mariona

El 06/09/2012 12:42, "Unni Chokkathukalam" <unni.chokkathuka...@glasgow.ac.uk<mailto:unni.chokkathuka...@glasgow.ac.uk><mailto:unni.chokkathuka...@glasgow.ac.uk<mailto:unni.chokkathuka...@glasgow.ac.uk>><mailto:unni.chokkathuka...@glasgow.ac.uk<mailto:unni.chokkathuka...@glasgow.ac.uk><mailto:unni.chokkathuka...@glasgow.ac.uk<mailto:unni.chokkathuka...@glasgow.ac.uk>>>> escribió:

Dear Mariona,

You are getting this error because you have not installed the dependencies required for mzMatch.R to work. To do this follow the instructions on this tutorial - http://mzmatch.sourceforge.net/tutorial.mzmatch.r.advanced.php.

Best Regards,

Unni


On 06/09/12 10:39, id...@googlegroups.com<mailto:id...@googlegroups.com><mailto:id...@googlegroups.com<mailto:id...@googlegroups.com>><mailto:id...@googlegroups.com<mailto:id...@googlegroups.com><mailto:id...@googlegroups.com<mailto:id...@googlegroups.com>>> wrote:
  Today's Topic Summary

Group: http://groups.google.com/group/ideom/topics

 *   Instalation of R packages [1 Update]

 Instalation of R packages<http://groups.google.com/group/ideom/t/de00aa15f375d6af>

Mariona Jove <mariona....@gmail.com<mailto:mariona....@gmail.com><mailto:mariona....@gmail.com<mailto:mariona....@gmail.com>>><mailto:mariona....@gmail.com<mailto:mariona....@gmail.com><mailto:mariona....@gmail.com<mailto:mariona....@gmail.com>>> Sep 05 01:06AM -0700

Hi

I am trying to install the IDEOM software in my computer but I have
problems with R packages installation. The error message is the following:

ERROR: dependency 'xcms' is not available for package 'mzmatch.R'

* removing 'C:/R/library/mzmatch.R'

Mensajes de aviso perdidos

1: comando ejecutado 'C:/R/bin/x64/R CMD INSTALL -l "C:/R/library" "mzmatch.R.tar.gz"'
tiene estatus 1

2: In install.packages(pkgs = "mzmatch.R.tar.gz", repos = NULL, type =
"source") :

installation of package ‘mzmatch.R.tar.gz’ had non-zero exit status

> library (rJava)

Error : .onLoad failed in loadNamespace() for 'rJava', details:

call: fun(libname, pkgname)

error: JAVA_HOME cannot be determined from the Registry

Error: package/namespace load failed for ‘rJava’

> if (.Platform$OS.type == 'windows' & .Platform$r_arch == 'i386')
{print('Loading XP 32bit startup')

+ .jinit ()}

> library (mzmatch.R)

Error en library(mzmatch.R) : there is no package called ‘mzmatch.R’

> mzmatch.init (4000)

Error: no se pudo encontrar la función "mzmatch.init"


Do you how can I solve it?

Thank you very much


Mariona Jové



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Unni Chokkathukalam, PhD
Post-doctoral Research Assistant
Institute of Molecular, Cell and Systems Biology
B309, Joseph Black Building
University of Glasgow, Glasgow G12 8QQ

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