Re: [R] csv file with two header rows

2013-04-27 Thread peter dalgaard

On Apr 26, 2013, at 14:48 , John Kane wrote:

 I don't think so. read.csv is a striped down version of read.table.  You 
 should be able to do this with the skip option there.

You can also pass skip= to read.csv, it just passes it on to read.table. But it 
is not clear to me what is supposed to happen with the the double header, or 
what the file format in question is exactly. 

It is, e.g., quite possible to do something like

hd - read.csv(..., nrows=2)
df - read.csv(..., skip=2, header=FALSE)
names(df) - ... some operation on hd ...

 
 John Kane
 Kingston ON Canada
 
 
 -Original Message-
 From: analys...@hotmail.com
 Sent: Thu, 25 Apr 2013 18:35:42 -0700 (PDT)
 To: r-help@r-project.org
 Subject: [R] csv file with two header rows
 
 Is there a way to use read.csv() on such a file without deleting one
 of the header rows?
 
 Thanks.
 
 __
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Re: [R] using metafor for meta-analysis of before-after studies

2013-04-27 Thread Michael Dewey

At 03:27 27/04/2013, Qiang Yue wrote:

Hello, Dr. Viechtbauer.

I am trying to perform a meta-analyis on a group 
of before-after studies using Metafor. I read 
your webpage including your correspondence with 
Dr. Dewey 
(https://stat.ethz.ch/pipermail/r-help/2012-April/308946.html), 
who also conducted a similar study. These 
information is very hepful, but I have one 
additonal question which I wonder if you can 
give me some instruction. The question is as follow:


These studies which we are trying to analyze are 
performed on the same subject before and after 
the adminstration of intervention. Most studies 
reported the the Mean¡ÀSD of percentage change, 
i.e., the Mean¡ÀSD of (value of ¡®after¡¯-value 
of ¡®before¡¯)/value of 
¡®before¡¯¡Á100%£¬without reporting the Mean¡ÀSD 
of value of ¡®after¡¯ or value of ¡®before¡¯. So 
I want to know if it is possible to perform 
meta-analyis using the value of percentage 
change, and if it is possible to calculate the 
¡®sdi¡¯ (the standard deviation of the change 
scores) using the SD of percentage change.


Unfortunately not all the characters in your 
email appeared correctly here but if I understand 
you correctly the primary studies have reported 
(for each group?) mean percentage change and its 
standard deviation (and presumably the n). So you 
just treat them like any other mean and standard deviation.


If I understand the very last part correctly you 
would need more information than we have to back 
calculate change on the original scale from change on the percentage scale.




Thank you very much, I am looking forward to your reply.

With best wishes.




Qiang Yue M.D.
Visiting Scholar of IMHR, University of Ottawa
1145 Carling Avenue, K1Z 7K4, Ottawa, ON, Canada
Tel: 613-722-6521 ext. 6554
Associate Professor of Radiology
Department of Radiology, West China Hospital, Sichuan University
Chengdu, 610041, China  [[alternative HTML version deleted]]


Michael Dewey
i...@aghmed.fsnet.co.uk
http://www.aghmed.fsnet.co.uk/home.html

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Re: [R] csv file with two header rows

2013-04-27 Thread John Kane
Thanks Peter, I must have misread the read.csv help. I thought skip had been 
dropped with a couple of other options.

John Kane
Kingston ON Canada


 -Original Message-
 From: pda...@gmail.com
 Sent: Sat, 27 Apr 2013 09:48:22 +0200
 To: jrkrid...@inbox.com
 Subject: Re: [R] csv file with two header rows
 
 
 On Apr 26, 2013, at 14:48 , John Kane wrote:
 
 I don't think so. read.csv is a striped down version of read.table.  You
 should be able to do this with the skip option there.
 
 You can also pass skip= to read.csv, it just passes it on to read.table.
 But it is not clear to me what is supposed to happen with the the double
 header, or what the file format in question is exactly.
 
 It is, e.g., quite possible to do something like
 
 hd - read.csv(..., nrows=2)
 df - read.csv(..., skip=2, header=FALSE)
 names(df) - ... some operation on hd ...
 
 
 John Kane
 Kingston ON Canada
 
 
 -Original Message-
 From: analys...@hotmail.com
 Sent: Thu, 25 Apr 2013 18:35:42 -0700 (PDT)
 To: r-help@r-project.org
 Subject: [R] csv file with two header rows
 
 Is there a way to use read.csv() on such a file without deleting one
 of the header rows?
 
 Thanks.
 
 __
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
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 http://www.R-project.org/posting-guide.html
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 PLEASE do read the posting guide
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 --
 Peter Dalgaard, Professor,
 Center for Statistics, Copenhagen Business School
 Solbjerg Plads 3, 2000 Frederiksberg, Denmark
 Phone: (+45)38153501
 Email: pd@cbs.dk  Priv: pda...@gmail.com


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[R] Loading of package RNetCDF fails

2013-04-27 Thread Marc Girondot
Dear Pavel Michna [maintainer of the package] (and copy to R-help 
Mailing List)


When I try to load the package RNetCDF (after install from CRAN) I get 
this message:
 library(RNetCDF, 
lib.loc=/Library/Frameworks/R.framework/Versions/3.0/Resources/library)

Error : .onLoad a échoué dans loadNamespace() pour 'RNetCDF', détails :
appel : NULL
erreur : I/O error (udunits)
Erreur : le chargement du package ou de l'espace de noms a échoué pour 
‘RNetCDF’


Anybody have some info about what's happened ?

In MacOSX 10.8.3, R3.0.0

Sincerely,

Marc Girondot

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Laboratoire Ecologie, Systématique et Evolution
Equipe de Conservation des Populations et des Communautés
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Bâtiment 362
91405 Orsay Cedex, France

Tel:  33 1 (0)1.69.15.72.30   Fax: 33 1 (0)1.69.15.73.53
e-mail: marc.giron...@u-psud.fr
Web: http://www.ese.u-psud.fr/epc/conservation/Marc.html
Skype: girondot

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Re: [R] csv file with two header rows

2013-04-27 Thread William Dunlap
 But it is not clear to
 me what is supposed to happen with the the double header, or what the file 
 format in
 question is exactly.

I've seen double headers in which the first line gives the names of the 
variables
and the second their units.  E.g., 
  http://www.ndbc.noaa.gov/data/5day2/SISW1_5day.cwind
contains wind data (from Smith Island, Washington) and it currently starts with
  #YY  MM DD hh mm WDIR WSPD GDR GST GTIME
  #yr  mo dy hr mn degT m/s degT m/s hhmm
  2013 04 27 14 00 190  4.1 200  5.7 1337
  2013 04 27 13 50 198  4.1 999 99.0 
  2013 04 27 13 40 196  4.1 999 99.0 
  2013 04 27 13 30 202  4.1 999 99.0 
  2013 04 27 13 20 199  3.6 999 99.0 
  2013 04 27 13 10 188  3.1 999 99.0 
  2013 04 27 13 00 182  3.1 210  4.1 1218
  2013 04 27 12 50 198  3.1 999 99.0 
And I've read them with the 2-calls-to-read.table trick you mentioned
   hd - read.csv(..., nrows=2)
   df - read.csv(..., skip=2, header=FALSE)
   names(df) - ... some operation on hd ...
(or 3 calls, when I wanted to paste the units onto the variable name.)

Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com


 -Original Message-
 From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On 
 Behalf
 Of peter dalgaard
 Sent: Saturday, April 27, 2013 12:48 AM
 To: John Kane
 Cc: r-help@r-project.org; analys...@hotmail.com
 Subject: Re: [R] csv file with two header rows
 
 
 On Apr 26, 2013, at 14:48 , John Kane wrote:
 
  I don't think so. read.csv is a striped down version of read.table.  You 
  should be able to
 do this with the skip option there.
 
 You can also pass skip= to read.csv, it just passes it on to read.table. But 
 it is not clear to
 me what is supposed to happen with the the double header, or what the file 
 format in
 question is exactly.
 
 It is, e.g., quite possible to do something like
 
 hd - read.csv(..., nrows=2)
 df - read.csv(..., skip=2, header=FALSE)
 names(df) - ... some operation on hd ...
 
 
  John Kane
  Kingston ON Canada
 
 
  -Original Message-
  From: analys...@hotmail.com
  Sent: Thu, 25 Apr 2013 18:35:42 -0700 (PDT)
  To: r-help@r-project.org
  Subject: [R] csv file with two header rows
 
  Is there a way to use read.csv() on such a file without deleting one
  of the header rows?
 
  Thanks.
 
  __
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  https://stat.ethz.ch/mailman/listinfo/r-help
  PLEASE do read the posting guide
  http://www.R-project.org/posting-guide.html
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 --
 Peter Dalgaard, Professor,
 Center for Statistics, Copenhagen Business School
 Solbjerg Plads 3, 2000 Frederiksberg, Denmark
 Phone: (+45)38153501
 Email: pd@cbs.dk  Priv: pda...@gmail.com
 
 __
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Re: [R] csv file with two header rows

2013-04-27 Thread William Dunlap
 And I've read them with the 2-calls-to-read.table trick you mentioned
hd - read.csv(..., nrows=2)
df - read.csv(..., skip=2, header=FALSE)
names(df) - ... some operation on hd ...
 (or 3 calls, when I wanted to paste the units onto the variable name.)

Or with read.table(text=readLines(http://...;)[-2]):

   u - http://www.ndbc.noaa.gov/data/5day2/SISW1_5day.cwind;
   d - read.table(text=readLines(u)[-2], header=TRUE, comment.char=, 
check.names=FALSE)
   d[1:4,]
 #YY MM DD hh mm WDIR WSPD GDR  GST GTIME
  1 2013  4 27 14  0  190  4.1 200  5.7  1337
  2 2013  4 27 13 50  198  4.1 999 99.0  
  3 2013  4 27 13 40  196  4.1 999 99.0  
  4 2013  4 27 13 30  202  4.1 999 99.0  
   with(d, plot(complex(mod=WSPD, arg=(90-WDIR)/180*pi), asp=1))

Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com


 -Original Message-
 From: William Dunlap
 Sent: Saturday, April 27, 2013 7:36 AM
 To: 'peter dalgaard'; John Kane
 Cc: r-help@r-project.org; analys...@hotmail.com
 Subject: RE: [R] csv file with two header rows
 
  But it is not clear to
  me what is supposed to happen with the the double header, or what the file 
  format in
  question is exactly.
 
 I've seen double headers in which the first line gives the names of the 
 variables
 and the second their units.  E.g.,
   http://www.ndbc.noaa.gov/data/5day2/SISW1_5day.cwind
 contains wind data (from Smith Island, Washington) and it currently starts 
 with
   #YY  MM DD hh mm WDIR WSPD GDR GST GTIME
   #yr  mo dy hr mn degT m/s degT m/s hhmm
   2013 04 27 14 00 190  4.1 200  5.7 1337
   2013 04 27 13 50 198  4.1 999 99.0 
   2013 04 27 13 40 196  4.1 999 99.0 
   2013 04 27 13 30 202  4.1 999 99.0 
   2013 04 27 13 20 199  3.6 999 99.0 
   2013 04 27 13 10 188  3.1 999 99.0 
   2013 04 27 13 00 182  3.1 210  4.1 1218
   2013 04 27 12 50 198  3.1 999 99.0 
 And I've read them with the 2-calls-to-read.table trick you mentioned
hd - read.csv(..., nrows=2)
df - read.csv(..., skip=2, header=FALSE)
names(df) - ... some operation on hd ...
 (or 3 calls, when I wanted to paste the units onto the variable name.)
 
 Bill Dunlap
 Spotfire, TIBCO Software
 wdunlap tibco.com
 
 
  -Original Message-
  From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On 
  Behalf
  Of peter dalgaard
  Sent: Saturday, April 27, 2013 12:48 AM
  To: John Kane
  Cc: r-help@r-project.org; analys...@hotmail.com
  Subject: Re: [R] csv file with two header rows
 
 
  On Apr 26, 2013, at 14:48 , John Kane wrote:
 
   I don't think so. read.csv is a striped down version of read.table.  You 
   should be able
 to
  do this with the skip option there.
 
  You can also pass skip= to read.csv, it just passes it on to read.table. 
  But it is not clear
 to
  me what is supposed to happen with the the double header, or what the file 
  format in
  question is exactly.
 
  It is, e.g., quite possible to do something like
 
  hd - read.csv(..., nrows=2)
  df - read.csv(..., skip=2, header=FALSE)
  names(df) - ... some operation on hd ...
 
  
   John Kane
   Kingston ON Canada
  
  
   -Original Message-
   From: analys...@hotmail.com
   Sent: Thu, 25 Apr 2013 18:35:42 -0700 (PDT)
   To: r-help@r-project.org
   Subject: [R] csv file with two header rows
  
   Is there a way to use read.csv() on such a file without deleting one
   of the header rows?
  
   Thanks.
  
   __
   R-help@r-project.org mailing list
   https://stat.ethz.ch/mailman/listinfo/r-help
   PLEASE do read the posting guide
   http://www.R-project.org/posting-guide.html
   and provide commented, minimal, self-contained, reproducible code.
  
   
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   PLEASE do read the posting guide 
   http://www.R-project.org/posting-guide.html
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  --
  Peter Dalgaard, Professor,
  Center for Statistics, Copenhagen Business School
  Solbjerg Plads 3, 2000 Frederiksberg, Denmark
  Phone: (+45)38153501
  Email: pd@cbs.dk  Priv: pda...@gmail.com
 
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[R] [R-pkgs] Version 1.3.1 of apcluster package on CRAN

2013-04-27 Thread Ulrich Bodenhofer

Dear colleagues,

This is to inform you that Version 1.3.1 of the R package apcluster has 
been released on CRAN. We did a major improvement of heatmap and 
dendrogram plotting, as well as several minor improvements of the 
package. For more details, see the following URLs:


http://www.bioinf.jku.at/software/apcluster/
http://cran.r-project.org/web/packages/apcluster/index.html

Best regards,
Ulrich



*Dr. Ulrich Bodenhofer*
Associate Professor
Institute of Bioinformatics

*Johannes Kepler University*
Altenberger Str. 69
4040 Linz, Austria

Tel. +43 732 2468 4526
Fax +43 732 2468 4539
bodenho...@bioinf.jku.at
http://www.bioinf.jku.at/

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Re: [R] Stepwise regression for multivariate case in R?

2013-04-27 Thread Uwe Ligges



On 26.04.2013 13:58, Jonathan Jansson wrote:

Hi! I am trying to make a stepwise regression in the multivariate case, using 
Wilks' Lambda test.
I've tried this:

  greedy.wilks(cbind(Y1,Y2) ~ . , data=my.data )

But it only returns:
Error in model.frame.default(formula = X[, j] ~ grouping, drop.unused.levels = 
TRUE) :
   variable lengths differ (found for 'grouping')
What can be wrong here? I have checked and all variables in my.data is of the 
same length.


Simply answer: It was never intended to work for the multivariate case.
I will add a stop() with a better error message.

Best,
Uwe Ligges








//Jonathan

[[alternative HTML version deleted]]

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[R] Polynomial Regression and NA coefficients in R

2013-04-27 Thread Lucas Holland
Hey all,

I'm performing polynomial regression. I'm simulating x values using runif() and 
y values using a deterministic function of x and rnorm(). 

When I perform polynomial regression like this:

fit_poly - lm(y ~ poly(x,11,raw = TRUE))

I get some NA coefficients. I think this is due to the high correlation between 
say x and x^2 if x is distributed uniformly on the unit interval (as is the 
case in my example). However, I'm still able to plot a polynomial fit like this:

points(x, predict(fit_poly), type=l, col=green, lwd=2)

What I'm interested in finding out is, how R handles the NA values I get for 
some coefficients (and how that affects the polynomial I see plotted).

Thanks!

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Re: [R] Read big data (3G ) methods ?

2013-04-27 Thread Jan van der Laan


I believe it was already mentioned, but I can recommend the LaF package 
(not completely impartial being the maintainer of LaF ;-)


However, the speed differences between packages will not be very large. 
Eventually all packages will have to read in 6 GB of data and convert 
the text data to numeric data. So the tricks are to

1 only read in columns that you need
2 only read in lines that you need
3 and if you need to read the data more than once convert it to some 
binary format first (RDS, ff, sqlite, bigmemory, ...). Most packages 
have routines to convert CSV files to the binary format.


With all of the above LaF helps. ffbase contains a routine laf_to_ffdf 
to convert to to ff format.



HTH,

Jan



On 04/27/2013 04:34 AM, Kevin Hao wrote:

Thank you very much.

More and more methods are coming. That sounds great!


Thanks,

kevin



On Fri, Apr 26, 2013 at 7:51 PM, Duncan Murdoch murdoch.dun...@gmail.comwrote:


On 13-04-26 3:00 PM, Kevin Hao wrote:


Hi Ye,

Thanks.

That is a good method. have any other methods instead of using database?



If you know the format of the file, you can probably write something in C
(or other language) that is faster than R.  Convert your .csv file to a
nice binary format, and R will read it in no time at all.

If writing it in C is hard, then R is probably a better use of your time.
  Read the file once, write it out using saveRDS(), and read it in using
readRDS() after that.

In either case, the secret is to do the conversion from ugly character
encoded numbers to beautiful binary numbers just once.

Duncan Murdoch




kevin


On Fri, Apr 26, 2013 at 1:58 PM, Ye Lin ye...@lbl.gov wrote:

  Have you think of build a database then then let R read it thru that db

instead of your desktop?


On Fri, Apr 26, 2013 at 8:09 AM, Kevin Hao rfans4ch...@gmail.com
wrote:

  Hi all scientists,


Recently, I am dealing with big data ( 3G  txt or csv format ) in my
desktop (windows 7 - 64 bit version), but I can not read them faster,
thought I search from internet. [define colClasses for read.table,
cobycol
and limma packages I have use them, but it is not so fast].

Could you share your methods to read big data to R faster?

Though this is an odd question, but we need it really.

Any suggest appreciates.

Thank you very much.


kevin

  [[alternative HTML version deleted]]

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Re: [R] Error Installing packages

2013-04-27 Thread Uwe Ligges



On 26.04.2013 19:15, Pramod Anugu wrote:

I am trying to install the package boss but i am getting error below:
Please advice


Well, it says

configure: error: netcdf header netcdf.h not found

so perhaps you do not have the netcdf headers installed?

Best,
Uwe Ligges







install.packages(boss)

--- Please select a CRAN mirror for use in this session ---

CRAN mirror



1: 0-Cloud   2: Argentina (La Plata)

3: Argentina (Mendoza)   4: Australia (Canberra)

5: Australia (Melbourne) 6: Austria

7: Belgium   8: Brazil (PR)

9: Brazil (RJ)  10: Brazil (SP 1)

11: Brazil (SP 2)12: Canada (BC)

13: Canada (NS)  14: Canada (ON)

15: Canada (QC 1)16: Canada (QC 2)

17: Chile18: China (Beijing 1)

19: China (Beijing 2)20: China (Guangzhou)

21: China (Hefei)22: China (Xiamen)

23: Colombia (Bogota)24: Colombia (Cali)

25: Denmark  26: Ecuador

27: France (Lyon 1)  28: France (Lyon 2)

29: France (Montpellier) 30: France (Paris 1)

31: France (Paris 2) 32: Germany (Berlin)

33: Germany (Bonn)   34: Germany (Falkenstein)

35: Germany (Goettingen) 36: Greece

37: Hungary  38: India

39: Indonesia40: Iran

41: Ireland  42: Italy (Milano)

43: Italy (Padua)44: Italy (Palermo)

45: Japan (Hyogo)46: Japan (Tsukuba)

47: Japan (Tokyo)48: Korea (Seoul 1)

49: Korea (Seoul 2)  50: Latvia

51: Mexico (Mexico City) 52: Mexico (Texcoco)

53: Netherlands (Amsterdam)  54: Netherlands (Utrecht)

55: New Zealand  56: Norway

57: Philippines  58: Poland

59: Portugal 60: Russia

61: Singapore62: Slovakia

63: South Africa (Cape Town) 64: South Africa (Johannesburg)

65: Spain (Madrid)   66: Sweden

67: Switzerland  68: Taiwan (Taichung)

69: Taiwan (Taipei)  70: Thailand

71: Turkey   72: UK (Bristol)

73: UK (London)  74: UK (St Andrews)

75: USA (CA 1)   76: USA (CA 2)

77: USA (IA) 78: USA (IN)

79: USA (KS) 80: USA (MD)

81: USA (MI) 82: USA (MO)

83: USA (OH) 84: USA (OR)

85: USA (PA 1)   86: USA (PA 2)

87: USA (TN) 88: USA (TX 1)

89: USA (WA 1)   90: USA (WA 2)

91: Venezuela92: Vietnam





Selection: 86

also installing the dependency 'ncdf'



trying URL 'http://cran.mirrors.hoobly.com/src/contrib/ncdf_1.6.6.tar.gz'

Content type 'application/x-gzip' length 79403 bytes (77 Kb)

opened URL

==

downloaded 77 Kb



trying URL 'http://cran.mirrors.hoobly.com/src/contrib/boss_1.2.tar.gz'

Content type 'application/x-gzip' length 9702 bytes

opened URL

==

downloaded 9702 bytes



* installing *source* package 'ncdf' ...

** package 'ncdf' successfully unpacked and MD5 sums checked

checking for nc-config... no

checking for gcc... gcc -std=gnu99

checking whether the C compiler works... yes

checking for C compiler default output file name... a.out

checking for suffix of executables...

checking whether we are cross compiling... no

checking for suffix of object files... o

checking whether we are using the GNU C compiler... yes

checking whether gcc -std=gnu99 accepts -g... yes

checking for gcc -std=gnu99 option to accept ISO C89... none needed

checking how to run the C preprocessor... gcc -std=gnu99 -E

checking for grep that handles long lines and -e... /bin/grep

checking for egrep... /bin/grep -E

checking for ANSI C header files... yes

checking for sys/types.h... yes

checking for sys/stat.h... yes

checking for stdlib.h... yes

checking for string.h... yes

checking for memory.h... yes

checking for strings.h... yes

checking for inttypes.h... yes

checking for stdint.h... yes

checking for unistd.h... yes

checking netcdf.h usability... no

checking netcdf.h presence... no

checking for netcdf.h... no

configure: error: netcdf header netcdf.h not found

ERROR: configuration failed for package 'ncdf'

* removing '/share/apps/R-2.15.3/lib64/R/library/ncdf'

ERROR: dependency 'ncdf' is not available for package 'boss'

* removing '/share/apps/R-2.15.3/lib64/R/library/boss'



The downloaded source packages are in

 '/tmp/RtmppOWF74/downloaded_packages'

Updating HTML index of packages in '.Library'

Making packages.html  ... done

Warning messages:

1: In install.packages(boss) :

   installation of package 'ncdf' had non-zero exit status

2: In install.packages(boss) :

   installation of package 'boss' had 

Re: [R] the joy of spreadsheets (off-topic)

2013-04-27 Thread Albyn Jones

I once had a discussion with an economist who told me
in almost these exact words:

I don't care what the data say, the theory is so clear.

albyn

On 2013-04-26 9:30, William Dunlap wrote:
The prior for the incompetence/malice question is usually best set 
pretty heavily in

favour of incompetence ...


The following comment on economic research is from a 2010 article in
the Atlantic
reviewing John Ioannidis' work.

http://www.theatlantic.com/magazine/print/2010/11/lies-damned-lies-and-medical-science/308269/

  Medical research is not especially plagued with wrongness.
   Other meta-research experts have confirmed that similar issues
   distort research in all fields of science, from physics to 
economics

   (where the highly regarded economists J. Bradford DeLong and
   Kevin Lang once showed how a remarkably consistent paucity of
   strong evidence in published economics studies made it unlikely
   that any of them were right).

Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com



-Original Message-
From: r-help-boun...@r-project.org 
[mailto:r-help-boun...@r-project.org] On Behalf

Of S Ellison
Sent: Friday, April 26, 2013 9:08 AM
To: Thomas Adams; peter dalgaard
Cc: r-help
Subject: Re: [R] the joy of spreadsheets (off-topic)



 One might wonder if the Excel error was indeed THAT or
 perhaps a way to get the desired results, give the other
 issues in their analysis?

The prior for the incompetence/malice question is usually best set 
pretty heavily in

favour of incompetence ...

S


***
This email and any attachments are confidential. Any 
use...{{dropped:8}}


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Re: [R] Loading of package RNetCDF fails

2013-04-27 Thread Prof Brian Ripley

On 27/04/2013 14:40, Marc Girondot wrote:

Dear Pavel Michna [maintainer of the package] (and copy to R-help
Mailing List)

When I try to load the package RNetCDF (after install from CRAN) I get
this message:
  library(RNetCDF,
lib.loc=/Library/Frameworks/R.framework/Versions/3.0/Resources/library)
Error : .onLoad a échoué dans loadNamespace() pour 'RNetCDF', détails :
appel : NULL
erreur : I/O error (udunits)
Erreur : le chargement du package ou de l'espace de noms a échoué pour
‘RNetCDF’

Anybody have some info about what's happened ?

In MacOSX 10.8.3, R3.0.0

Sincerely,

Marc Girondot



This is to do with the CRAN binary package.  Please *DO* as we ask and 
discuss such issues on R-sig-mac.  You have been reminded before 


--
Brian D. Ripley,  rip...@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595

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Re: [R] the joy of spreadsheets (off-topic)

2013-04-27 Thread Thomas Adams
Pretty scary...


On Sat, Apr 27, 2013 at 12:28 PM, Albyn Jones jo...@reed.edu wrote:

 I once had a discussion with an economist who told me
 in almost these exact words:

 I don't care what the data say, the theory is so clear.

 albyn


 On 2013-04-26 9:30, William Dunlap wrote:

 The prior for the incompetence/malice question is usually best set pretty
 heavily in
 favour of incompetence ...


 The following comment on economic research is from a 2010 article in
 the Atlantic
 reviewing John Ioannidis' work.

 http://www.theatlantic.com/**magazine/print/2010/11/lies-**
 damned-lies-and-medical-**science/308269/http://www.theatlantic.com/magazine/print/2010/11/lies-damned-lies-and-medical-science/308269/

   Medical research is not especially plagued with wrongness.
Other meta-research experts have confirmed that similar issues
distort research in all fields of science, from physics to economics
(where the highly regarded economists J. Bradford DeLong and
Kevin Lang once showed how a remarkably consistent paucity of
strong evidence in published economics studies made it unlikely
that any of them were right).

 Bill Dunlap
 Spotfire, TIBCO Software
 wdunlap tibco.com


  -Original Message-
 From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-**
 project.org r-help-boun...@r-project.org] On Behalf
 Of S Ellison
 Sent: Friday, April 26, 2013 9:08 AM
 To: Thomas Adams; peter dalgaard
 Cc: r-help
 Subject: Re: [R] the joy of spreadsheets (off-topic)



  One might wonder if the Excel error was indeed THAT or
  perhaps a way to get the desired results, give the other
  issues in their analysis?

 The prior for the incompetence/malice question is usually best set
 pretty heavily in
 favour of incompetence ...

 S


 ***
 This email and any attachments are confidential. Any use...{{dropped:8}}

 __**
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 posting-guide.html http://www.R-project.org/posting-guide.html
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 PLEASE do read the posting guide http://www.R-project.org/**
 posting-guide.html http://www.R-project.org/posting-guide.html
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 posting-guide.html http://www.R-project.org/posting-guide.html
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-- 
Thomas E Adams, III
718 McBurney Drive
Lebanon, OH 45036

1 (513) 739-9512 (cell)

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Re: [R] Predictions with missing inputs

2013-04-27 Thread Uwe Ligges



On 25.04.2013 18:12, tonitogomez wrote:

Hi Bill,
Very clear response.
How about when the missing values are on the response variable being
predicted (y)? That is, the model is fitted only to complete cases, but then
I want to have predictions for all individual y (including those missing).
Can I use the mean for that variable 'y'?

EXAMPLE:
mynewdata - mydata
mynewdata$y-mean(mydata$y)
mypred - predict(mymodel, mynewdata)


Err, if y is your response, you do not need them for prediction...

Best,
Uwe Ligges



Thanks,
Manuel



--
View this message in context: 
http://r.789695.n4.nabble.com/Predictions-with-missing-inputs-tp3302303p4665411.html
Sent from the R help mailing list archive at Nabble.com.

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Re: [R] Polynomial Regression and NA coefficients in R

2013-04-27 Thread Bert Gunter
Inline.

-- Bert

On Sat, Apr 27, 2013 at 8:48 AM, Lucas Holland hollandlu...@gmail.com wrote:
 Hey all,

 I'm performing polynomial regression. I'm simulating x values using runif() 
 and y values using a deterministic function of x and rnorm().

 When I perform polynomial regression like this:

 fit_poly - lm(y ~ poly(x,11,raw = TRUE))

 I get some NA coefficients. I think this is due to the high correlation 
 between say x and x^2 if x is distributed uniformly on the unit interval (as 
 is the case in my example). However, I'm still able to plot a polynomial fit 
 like this:

 points(x, predict(fit_poly), type=l, col=green, lwd=2)

 What I'm interested in finding out is, how R handles the NA values I get for 
 some coefficients (and how that affects the polynomial I see plotted).

It ignores them, i.e. treats them as 0.

You are overfitting. See the singular.ok  argument.

Incidentally, using high order polynomials as data smoothers is
nowadays usually frowned on. Consider using splines or other
effectively local smoothers instead. R has many alternatives.

-- Bert


 Thanks!

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 PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm

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Re: [R] Polynomial Regression and NA coefficients in R

2013-04-27 Thread Joshua Wiley
Hi Lucas,

You may find some of these examples useful (towards the end):

http://elkhartgroup.com/rmodels.php

For example in your case you could be using b splines instead of an 11th
order polynomial, or use thin plate regression splines from the mgcv
package.  I will also humbly suggest that ggplot2 overlaying observed
values with predicted lines is a more elegant way to visualize the data and
the results.

Cheers,

Josh



On Sat, Apr 27, 2013 at 8:48 AM, Lucas Holland hollandlu...@gmail.comwrote:

 Hey all,

 I'm performing polynomial regression. I'm simulating x values using
 runif() and y values using a deterministic function of x and rnorm().

 When I perform polynomial regression like this:

 fit_poly - lm(y ~ poly(x,11,raw = TRUE))

 I get some NA coefficients. I think this is due to the high correlation
 between say x and x^2 if x is distributed uniformly on the unit interval
 (as is the case in my example). However, I'm still able to plot a
 polynomial fit like this:

 points(x, predict(fit_poly), type=l, col=green, lwd=2)

 What I'm interested in finding out is, how R handles the NA values I get
 for some coefficients (and how that affects the polynomial I see plotted).

 Thanks!

 __
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.




-- 
Joshua Wiley
Ph.D. Student, Health Psychology
University of California, Los Angeles
http://joshuawiley.com/
Senior Analyst - Elkhart Group Ltd.
http://elkhartgroup.com

[[alternative HTML version deleted]]

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[R] Manhattan Plot

2013-04-27 Thread lw...@yahoo.com
Hi, Tenfei,  I have two group of data composed of gene mutation and deletion on 
specific sites. Will it be possible for me to use the Manhattan Plot for 
comparison?  Thank you for you attention!  Li-Wu Guo, Ph.D.


Sent from Windows Mail
[[alternative HTML version deleted]]

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[R] Bls: RE: example

2013-04-27 Thread triutami . iut
Dear Sir,
Yes, I want to generate the data by two Gaussian but mean from one of them 
generatated from polar its coordinates. I am confused about the algorithm? I 
know how to generate two Gaussian data with certain meancovariance matrix 
using mvnorm but what about mean from its polar coordinates?
Thanks for your help.

Best wishes,

Iut
--Pesan Asli--
Dari: John Kane
Ke: Iut Tri Utami
Ke: r-help@r-project.org
Perihal: RE: [R] example
Terkirim: 27 Apr 2013 8:19 PM

https://github.com/hadley/devtools/wiki/Reproducibility
 
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example

It is not clear what you want.  Do you need to generate the data or do 
something with existing data?

John Kane
Kingston ON Canada


 -Original Message-
 From: triutami@gmail.com
 Sent: Sat, 27 Apr 2013 01:38:23 +0700
 To: r-help@r-project.org
 Subject: [R] example
 
 Dear Sir,
 My name is Iut Tri Utami. i am beginning user.  I have a problem about
 generate data in R. It consists of one disk generated by a Gaussian N(0,
 0.167) and one ring generated by a Gaussian N(R, 0.1). The mean R was
 generated from its polar coordinates. The angle was drawn from a uniform
 distribution on the interval (0, 2p), and the radius, from a Gaussian
 N(1.5, 0.1). The class sizes are 500 and 2000.
 
 
 Thank you very much for your attention and, I wish that you will help me.
 
 Best wishes ,
 
 Iut Tri Utami
 
   [[alternative HTML version deleted]]
 
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Send your photos by email in seconds...
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Re: [R] example

2013-04-27 Thread John Kane
https://github.com/hadley/devtools/wiki/Reproducibility
 
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example

It is not clear what you want.  Do you need to generate the data or do 
something with existing data?

John Kane
Kingston ON Canada


 -Original Message-
 From: triutami@gmail.com
 Sent: Sat, 27 Apr 2013 01:38:23 +0700
 To: r-help@r-project.org
 Subject: [R] example
 
 Dear Sir,
 My name is Iut Tri Utami. i am beginning user.  I have a problem about
 generate data in R. It consists of one disk generated by a Gaussian N(0,
 0.167) and one ring generated by a Gaussian N(R, 0.1). The mean R was
 generated from its polar coordinates. The angle was drawn from a uniform
 distribution on the interval (0, 2p), and the radius, from a Gaussian
 N(1.5, 0.1). The class sizes are 500 and 2000.
 
 
 Thank you very much for your attention and, I wish that you will help me.
 
 Best wishes ,
 
 Iut Tri Utami
 
   [[alternative HTML version deleted]]
 
 __
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 https://stat.ethz.ch/mailman/listinfo/r-help
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 http://www.R-project.org/posting-guide.html
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Re: [R] csv file with two header rows

2013-04-27 Thread analys...@hotmail.com


On Apr 26, 8:17 pm, David Winsemius dwinsem...@comcast.net wrote:
 On Apr 25, 2013, at 6:35 PM, analys...@hotmail.com wrote:

  Is there a way to use read.csv() on such a file without deleting one
  of the header rows?

 What do you mean by one of the header rows?
 --

 David Winsemius
 Alameda, CA, USA


The file is imported from an external source and for some reason there
are two header rows each with a set of names for the columns.  It
would get refreshed from time to time amd I don't want to have to
remember to remove one of them by hand (its a huge file and its not
easy to get it into an editor) each time before R processing.

But the skip option suggested by the other posters did the job -
thanks to all (and it turns out the second set of names is more
English-like anyways).
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 PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html
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Re: [R] using metafor for meta-analysis of before-after studies

2013-04-27 Thread Qiang Yue
Hello, Michael.

Thanks for your kind and rapid reply, and sorry for the inconvenience of 
characters. 

Yes,  the primary studies reported the n, the mean percentage change and its 
standard deviation, but some did not report the original value of before- or 
after-intervention, and there is only one group because these are uncontrolled  
before-and-after studies. So you mean we can not perform meta-analysis based on 
the mean percentage change and its standard deviation? For studies which have 
reported the original value  of before- and after-intervention, can I just 
simply treat the before-intervention values as the values of control group and 
treat the after-intervention values as the values of intervention group?  I 
will be grateful if you can send me some of your publications of meta-analysis 
on before-after study, thus I can learn how to perform the analysis.

With best regards.



Qiang Yue

From: Michael Dewey
Date: 2013-04-27 07:28
To: qiangmoon; wvb
CC: r-help
Subject: Re: [R] using metafor for meta-analysis of before-after studies
At 03:27 27/04/2013, Qiang Yue wrote:
Hello, Dr. Viechtbauer.

I am trying to perform a meta-analyis on a group 
of before-after studies using Metafor. I read 
your webpage including your correspondence with 
Dr. Dewey 
(https://stat.ethz.ch/pipermail/r-help/2012-April/308946.html), 
who also conducted a similar study. These 
information is very hepful, but I have one 
additonal question which I wonder if you can 
give me some instruction. The question is as follow:

These studies which we are trying to analyze are 
performed on the same subject before and after 
the adminstration of intervention. Most studies 
reported the the Mean¡ÀSD of percentage change, 
i.e., the Mean¡ÀSD of (value of ¡®after¡¯-value 
of ¡®before¡¯)/value of 
¡®before¡¯¡Á100%£¬without reporting the Mean¡ÀSD 
of value of ¡®after¡¯ or value of ¡®before¡¯. So 
I want to know if it is possible to perform 
meta-analyis using the value of percentage 
change, and if it is possible to calculate the 
¡®sdi¡¯ (the standard deviation of the change 
scores) using the SD of percentage change.

Unfortunately not all the characters in your 
email appeared correctly here but if I understand 
you correctly the primary studies have reported 
(for each group?) mean percentage change and its 
standard deviation (and presumably the n). So you 
just treat them like any other mean and standard deviation.

If I understand the very last part correctly you 
would need more information than we have to back 
calculate change on the original scale from change on the percentage scale.


Thank you very much, I am looking forward to your reply.

With best wishes.




Qiang Yue M.D.
Visiting Scholar of IMHR, University of Ottawa
1145 Carling Avenue, K1Z 7K4, Ottawa, ON, Canada
Tel: 613-722-6521 ext. 6554
Associate Professor of Radiology
Department of Radiology, West China Hospital, Sichuan University
Chengdu, 610041, China  [[alternative HTML version deleted]]

Michael Dewey
i...@aghmed.fsnet.co.uk
http://www.aghmed.fsnet.co.uk/home.html
[[alternative HTML version deleted]]

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Re: [R] the joy of spreadsheets (off-topic)

2013-04-27 Thread Nuri Jazairi


Maurice Allais (1988 Nobel Laureate in Economics) once said something to 
the effect that economics can never be a science because it involves 
self-interest. *


* It has been said that Euclid's theorem would have been bitterly
contested had its implications brought financial or political interests
into play. This is no exaggeration. One of the Roman emperors had the first
inventor of aluminum put to death because he considered the discovery
liable to injure certain vested interests. There is no other explanation
for the secular resistance to technical progress. In France the supply of
the first printed cotton garments cost the lives of thousands of people in
the 18th century, and in the 19th, the most active opponents of railway
development were the stagecoach drivers and owners. Recent history
confirms centuries of experience. (Maurice Allais: Economics as a 
Science, Librairie Droz, Geneve 1968, page 19.)


Nuri

On Sat, 27 Apr 2013, Thomas Adams wrote:


Pretty scary...


On Sat, Apr 27, 2013 at 12:28 PM, Albyn Jones jo...@reed.edu wrote:


I once had a discussion with an economist who told me
in almost these exact words:

I don't care what the data say, the theory is so clear.

albyn


On 2013-04-26 9:30, William Dunlap wrote:


The prior for the incompetence/malice question is usually best set pretty

heavily in
favour of incompetence ...



The following comment on economic research is from a 2010 article in
the Atlantic
reviewing John Ioannidis' work.

http://www.theatlantic.com/**magazine/print/2010/11/lies-**
damned-lies-and-medical-**science/308269/http://www.theatlantic.com/magazine/print/2010/11/lies-damned-lies-and-medical-science/308269/

  Medical research is not especially plagued with wrongness.
   Other meta-research experts have confirmed that similar issues
   distort research in all fields of science, from physics to economics
   (where the highly regarded economists J. Bradford DeLong and
   Kevin Lang once showed how a remarkably consistent paucity of
   strong evidence in published economics studies made it unlikely
   that any of them were right).

Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com


 -Original Message-

From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-**
project.org r-help-boun...@r-project.org] On Behalf
Of S Ellison
Sent: Friday, April 26, 2013 9:08 AM
To: Thomas Adams; peter dalgaard
Cc: r-help
Subject: Re: [R] the joy of spreadsheets (off-topic)




One might wonder if the Excel error was indeed THAT or
perhaps a way to get the desired results, give the other
issues in their analysis?


The prior for the incompetence/malice question is usually best set
pretty heavily in
favour of incompetence ...

S


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This email and any attachments are confidential. Any use...{{dropped:8}}

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Re: [R] Read big data (3G ) methods ?

2013-04-27 Thread Kevin Hao
thank you all very much.

Kevin


On Sat, Apr 27, 2013 at 11:51 AM, Jan van der Laan rh...@eoos.dds.nlwrote:


 I believe it was already mentioned, but I can recommend the LaF package
 (not completely impartial being the maintainer of LaF ;-)

 However, the speed differences between packages will not be very large.
 Eventually all packages will have to read in 6 GB of data and convert the
 text data to numeric data. So the tricks are to
 1 only read in columns that you need
 2 only read in lines that you need
 3 and if you need to read the data more than once convert it to some
 binary format first (RDS, ff, sqlite, bigmemory, ...). Most packages have
 routines to convert CSV files to the binary format.

 With all of the above LaF helps. ffbase contains a routine laf_to_ffdf to
 convert to to ff format.


 HTH,

 Jan




 On 04/27/2013 04:34 AM, Kevin Hao wrote:

 Thank you very much.

 More and more methods are coming. That sounds great!


 Thanks,

 kevin



 On Fri, Apr 26, 2013 at 7:51 PM, Duncan Murdoch murdoch.dun...@gmail.com
 **wrote:

  On 13-04-26 3:00 PM, Kevin Hao wrote:

  Hi Ye,

 Thanks.

 That is a good method. have any other methods instead of using database?


 If you know the format of the file, you can probably write something in C
 (or other language) that is faster than R.  Convert your .csv file to a
 nice binary format, and R will read it in no time at all.

 If writing it in C is hard, then R is probably a better use of your time.
   Read the file once, write it out using saveRDS(), and read it in using
 readRDS() after that.

 In either case, the secret is to do the conversion from ugly character
 encoded numbers to beautiful binary numbers just once.

 Duncan Murdoch



  kevin


 On Fri, Apr 26, 2013 at 1:58 PM, Ye Lin ye...@lbl.gov wrote:

   Have you think of build a database then then let R read it thru that
 db

 instead of your desktop?


 On Fri, Apr 26, 2013 at 8:09 AM, Kevin Hao rfans4ch...@gmail.com
 wrote:

   Hi all scientists,


 Recently, I am dealing with big data ( 3G  txt or csv format ) in my
 desktop (windows 7 - 64 bit version), but I can not read them faster,
 thought I search from internet. [define colClasses for read.table,
 cobycol
 and limma packages I have use them, but it is not so fast].

 Could you share your methods to read big data to R faster?

 Though this is an odd question, but we need it really.

 Any suggest appreciates.

 Thank you very much.


 kevin

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[R] path reference problems in R 3.0.0

2013-04-27 Thread Melissa Key
Hi-

 

I just upgraded R to 3.0.0 from 2.15.1 (which worked fine).  When I started
trying to install updated versions of the libraries, I saw the following
error:

 

 install.packages(lme4)

Installing package into 'c:/Docume~1/melissa/R/win-library/3.0'

(as 'lib' is unspecified)

Warning in install.packages :

  path[1]=c:/Docume~1/melissa/R/win-library/3.0: Access is denied

trying URL
'http://cran.case.edu/bin/windows/contrib/3.0/lme4_0.99-2.zip'

Content type 'application/zip' length 1408286 bytes (1.3 Mb)

opened URL

downloaded 1.3 Mb

 

Error in install.packages : path[1]=c:\Docume~1\melissa\R\win-library\3.0:
Access is denied

 

At that point, I noticed that a similar error was occurring when R loads:

Warning message:
In normalizePath(path.expand(path), winslash, mustWork) :
  path[1]=c:/Docume~1/melissa/R/win-library/3.0: Access is denied

 

The relevant directory does exist, although it keeps getting set to
read-only.  I can't imagine that being a big issue if I'm running R as an
administrator though

C:\Users\melissa\R\win-library\3.0

 

Also, I can successfully install packages into other directories (e.g. when
running as an administrator, this works fine):

 install.packages(lme4, lib=C:/Program Files/R/R-3.0.0/library)
trying URL
'http://cran.case.edu/bin/windows/contrib/3.0/lme4_0.99-2.zip'
Content type 'application/zip' length 1408286 bytes (1.3 Mb)
opened URL
downloaded 1.3 Mb
 
package 'lme4' successfully unpacked and MD5 sums checked
 
The downloaded binary packages are in
C:\Users\melissa\AppData\Local\Temp\RtmpEXtf89\downloaded_packages

 

This will allow me to work with most R packages, but not Bioconductor, due
path to the references in the biocLite source file.

 

I haven't seen any other messages regarding similar issues, so I'm not sure
what is going on.  I've tried reinstalling R, (although I didn't try a fresh
download).  

 

Other relevant details:

This is a personal computer running windows 7.

 

 

Any thoughts or ideas of how to get this to work?

 

Thank you!

 

Melissa Key

 


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[R] r syntax

2013-04-27 Thread sgs sys
Hi

i  want  to recode Male  =1  and  female  =2  in  R
what  is  the  syntax  for  same ?
thanks
Sameer

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[R] Error in `contrasts-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) :

2013-04-27 Thread sgs sys
i  am  getting  the   following  error

Error in `contrasts-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) :
  contrasts can be applied only to factors with 2 or more levels

can  any  on e suggest  how  torectify

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[R] Help

2013-04-27 Thread Zilefac Elvis
Hello,



I have a question and need your help urgently. I am new to R but want to learn 
it.

I have several files in a folder which I have imported to R using :
temp = list.files(pattern=*.txt)
myfiles = lapply(temp, read.delim)
The resulting files are on the workspace stored as List[110]. So they are 110 
files in the list. Each file has several different columns and rows.
My question: I would like to find and replace -999.99M with NA; Find 
'T','C','A','F' and 'Y', delete them from all the 110 files.
Then, I want to write.table all the corrected files back to a folder on my 
computer.
Thanks for your help.
Atem.
 



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Re: [R] find and replace missing data in several different files

2013-04-27 Thread Zilefac Elvis


Hello,


I have a question and need your help urgently. I am new to R but want to learn 
it.

I have several files in a folder which I have imported to R using :
temp = list.files(pattern=*.txt)
myfiles = lapply(temp, read.delim)
The resulting files are on the workspace stored as List[110]. So they are 110 
files in the list. Each file has several different columns and rows.
My question: I would like to find and replace -999.99M with NA; Find 
'T','C','A','F' and 'Y', delete them from all the 110 files.
Then, I want to write.table all the corrected files back to a folder on my 
computer.
Thanks for your help.
Atem.
 



 From: r-help-requ...@r-project.org r-help-requ...@r-project.org

Sent: Friday, April 26, 2013 11:08 AM
Subject: confirm bfdc3137cee0135cf3c616295c9d0e2b3adfd392


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Re: [R] path reference problems in R 3.0.0

2013-04-27 Thread Gabor Grothendieck
On Sat, Apr 27, 2013 at 3:08 PM, Melissa Key mkche...@mac.com wrote:
 Hi-



 I just upgraded R to 3.0.0 from 2.15.1 (which worked fine).  When I started
 trying to install updated versions of the libraries, I saw the following
 error:



 install.packages(lme4)

 Installing package into 'c:/Docume~1/melissa/R/win-library/3.0'

 (as 'lib' is unspecified)

 Warning in install.packages :

   path[1]=c:/Docume~1/melissa/R/win-library/3.0: Access is denied

 trying URL
 'http://cran.case.edu/bin/windows/contrib/3.0/lme4_0.99-2.zip'

 Content type 'application/zip' length 1408286 bytes (1.3 Mb)

 opened URL

 downloaded 1.3 Mb



 Error in install.packages : path[1]=c:\Docume~1\melissa\R\win-library\3.0:
 Access is denied



 At that point, I noticed that a similar error was occurring when R loads:

 Warning message:
 In normalizePath(path.expand(path), winslash, mustWork) :
   path[1]=c:/Docume~1/melissa/R/win-library/3.0: Access is denied



 The relevant directory does exist, although it keeps getting set to
 read-only.  I can't imagine that being a big issue if I'm running R as an
 administrator though

 C:\Users\melissa\R\win-library\3.0



 Also, I can successfully install packages into other directories (e.g. when
 running as an administrator, this works fine):

 install.packages(lme4, lib=C:/Program Files/R/R-3.0.0/library)
 trying URL
 'http://cran.case.edu/bin/windows/contrib/3.0/lme4_0.99-2.zip'
 Content type 'application/zip' length 1408286 bytes (1.3 Mb)
 opened URL
 downloaded 1.3 Mb

 package 'lme4' successfully unpacked and MD5 sums checked

 The downloaded binary packages are in
 C:\Users\melissa\AppData\Local\Temp\RtmpEXtf89\downloaded_packages



 This will allow me to work with most R packages, but not Bioconductor, due
 path to the references in the biocLite source file.



 I haven't seen any other messages regarding similar issues, so I'm not sure
 what is going on.  I've tried reinstalling R, (although I didn't try a fresh
 download).



 Other relevant details:

 This is a personal computer running windows 7.





 Any thoughts or ideas of how to get this to work?


1. Grab the batchfiles distribution:
   http://batchfiles.googlecode.com
and place R.bat on your Windows PATH; then at the Windows cmd line enter
   R.bat gui
and see if that works.  (See batchfiles.pdf for more info.)

2. If that works you are done but if that does not work then suitably
set the paths by hand in Rpathset.bat (the example settings should
give you the idea) and from the Windows cmd line enter:

   Rpathset.bat
   Rgui.exe

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Re: [R] Help

2013-04-27 Thread arun
HI,

Find 'T','C','A','F' and 'Y', delete them from all the 110 files
I assume that you meant to replace it with NA.


set.seed(28)
myfiles- lapply(1:5,function(i) 
as.data.frame(matrix(sample(c(LETTERS,-999.99M),40*i,replace=TRUE),ncol=(40*i)/8),stringsAsFactors=FALSE))
 myfiles[[1]]
#  V1 V2   V3 V4 V5
#1  A  P    K  O  Y
#2  C  Z    S  M  Y
#3  M  S -999.99M  G  I
#4  X  R    M  G  X
#5  C  Q    G  A  P
#6  U  W    G  B  K
#7  A  N    Z  X  R
#8  X  I    F  M  K


res-lapply(myfiles,function(x) {x1-unlist(x); x1[x1%in% 
c(-999.99M,T,C,A,F,Y)]-NA;as.data.frame(matrix(x1,ncol=ncol(x)),stringsAsFactors=FALSE)})

res[[1]]
 #   V1 V2   V3   V4   V5
#1 NA  P    K    O NA
#2 NA  Z    S    M NA
#3    M  S NA    G    I
#4    X  R    M    G    X
#5 NA  Q    G NA    P
#6    U  W    G    B    K
#7 NA  N    Z    X    R
#8    X  I NA    M    K

lapply(seq_along(res),function(i) 
write.table(res[[i]],paste0(file,i,.txt),row.names=FALSE,quote=FALSE))
A.K.


- Original Message -
From: Zilefac Elvis zilefacel...@yahoo.com
To: r-help@r-project.org r-help@r-project.org
Cc: 
Sent: Saturday, April 27, 2013 11:20 AM
Subject: [R] Help

Hello,



I have a question and need your help urgently. I am new to R but want to learn 
it.

I have several files in a folder which I have imported to R using :
temp = list.files(pattern=*.txt)
myfiles = lapply(temp, read.delim)
The resulting files are on the workspace stored as List[110]. So they are 110 
files in the list. Each file has several different columns and rows.
My question: I would like to find and replace -999.99M with NA; Find 
'T','C','A','F' and 'Y', delete them from all the 110 files.
Then, I want to write.table all the corrected files back to a folder on my 
computer.
Thanks for your help.
Atem.
 



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Re: [R] r syntax

2013-04-27 Thread Rui Barradas

Hello,

You should provide us with a data example.

In the following, the two solutions are completely different but both of 
them do what you want. Note that the second creates a factor variable, 
whose levels are coded as integers. See R-intro.pdf in your doc 
directory, chapter 4 Ordered and unordered factors.



x - sample(c(Male, Female), 10, replace = TRUE)

y1 - ifelse(x == Male, 1L, 2L)
y2 - factor(x, levels = c(Male, Female))


Hope this helps,

Rui Barradas

Em 27-04-2013 15:32, sgs sys escreveu:

Hi

i  want  to recode Male  =1  and  female  =2  in  R
what  is  the  syntax  for  same ?
thanks
Sameer

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Re: [R] Manhattan Plot

2013-04-27 Thread Hasan Diwan
Just because it is possible to make a plot, doesn't mean it's a good idea.
It would depend on what you're trying to show. -- H


On 27 April 2013 17:21, lw...@yahoo.com lw...@yahoo.com wrote:

 Hi, Tenfei,  I have two group of data composed of gene mutation and
 deletion on specific sites. Will it be possible for me to use the Manhattan
 Plot for comparison?  Thank you for you attention!  Li-Wu Guo, Ph.D.


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-- 
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Envoyait de mon portable

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Re: [R] Error in `contrasts-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) :

2013-04-27 Thread William Dunlap
You didn't show an example of how to recreate your problem, but
this shows up when a term in a model is a factor (or character) variable
with no variation in it.  E.g.,
   d - data.frame(y=1:10, x1=rep(3,10), x2=rep(c(Female,Male),c(7,3)))
   lm(y ~ x1 + x2, data=d, subset = x2==Female)
  Error in `contrasts-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : 
contrasts can be applied only to factors with 2 or more levels
You have to look through the dataset to see which column is the offender.

Numeric columns with no variation are accepted; this is just a problem with
character/factor columns:
   lm(y ~ x1 + x2, data=d)
  
  Call:
  lm(formula = y ~ x1 + x2, data = d)
  
  Coefficients:
  (Intercept)   x1   x2Male  
4   NA5  

Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com


 -Original Message-
 From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On 
 Behalf
 Of sgs sys
 Sent: Saturday, April 27, 2013 7:59 AM
 To: r-help@r-project.org
 Subject: [R] Error in `contrasts-`(`*tmp*`, value = contr.funs[1 + 
 isOF[nn]]) :
 
 i  am  getting  the   following  error
 
 Error in `contrasts-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) :
   contrasts can be applied only to factors with 2 or more levels
 
 can  any  on e suggest  how  torectify
 
   [[alternative HTML version deleted]]
 
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[R] Selecting ridge regression coefficients for minimum GCV

2013-04-27 Thread Preetam Pal
Hi all,

I have run a ridge regression as follows:

reg=lm.ridge(final$l~final$lag1+final$lag2+final$g+final$u,
lambda=seq(0,10,0.01))

Then I enter :

select(reg)   and it returns: modified HKB estimator is 19.3409
   modified L-W estimator is 36.18617
   smallest value of GCV  at 10

I think it means that it is advisable to use the results of regression
corresponding to lambda= 10;
so the next thing I do is:

reg=lm.ridge(final$l~final$lag1+final$lag2+final$g+final$u, lambda=10)

which yields:

 final$lag1final$lag2   final$g
final$u
 3.147255e-04  1.802505e-01 -4.461005e-02 -1.728046e-09 -5.154932e-04


The main issue is that I want to access these coefficient values
automatically, i.e. R should run the regression and automatically provide
me these values after taking into consideration that lambda which minimizes
the GCV.   Kindly advise me how I can proceed.


Thanks and regards,
Preetam


-- 
Preetam Pal
(+91)-9432212774
M-Stat 2nd Year, Room No. N-114
Statistics Division,   C.V.Raman
Hall
Indian Statistical Institute, B.H.O.S.
Kolkata.

[[alternative HTML version deleted]]

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and provide commented, minimal, self-contained, reproducible code.


Re: [R] Selecting ridge regression coefficients for minimum GCV

2013-04-27 Thread William Dunlap
Using a reproducible example:
   library(MASS)
   fits - lm.ridge(y ~ ., longley, lambda=seq(0,.2,len=9))
   whichIsBest - which.min(fits$GCV)
   coef(fits)[whichIsBest,] # no need to refit
  GNPUnemployed  Armed.ForcesPopulation 
 Year 
  -1.454883e+03  1.063399e-01  1.285758e-02  8.194928e-03 -7.715296e-01  
8.126372e-01 
   Employed 
   1.743916e-01
I imagine that help(lm.ridge) contains this information.  You can also
look at str(fits) to see what is in the output of lm.ridge() and how it
relates to what is in the standard printout.

Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com


 -Original Message-
 From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On 
 Behalf
 Of Preetam Pal
 Sent: Saturday, April 27, 2013 4:32 PM
 To: r-help@r-project.org
 Subject: [R] Selecting ridge regression coefficients for minimum GCV
 
 Hi all,
 
 I have run a ridge regression as follows:
 
 reg=lm.ridge(final$l~final$lag1+final$lag2+final$g+final$u,
 lambda=seq(0,10,0.01))
 
 Then I enter :
 
 select(reg)   and it returns: modified HKB estimator is 19.3409
modified L-W estimator is 36.18617
smallest value of GCV  at 10
 
 I think it means that it is advisable to use the results of regression
 corresponding to lambda= 10;
 so the next thing I do is:
 
 reg=lm.ridge(final$l~final$lag1+final$lag2+final$g+final$u, lambda=10)
 
 which yields:
 
  final$lag1final$lag2   final$g
 final$u
  3.147255e-04  1.802505e-01 -4.461005e-02 -1.728046e-09 -5.154932e-04
 
 
 The main issue is that I want to access these coefficient values
 automatically, i.e. R should run the regression and automatically provide
 me these values after taking into consideration that lambda which minimizes
 the GCV.   Kindly advise me how I can proceed.
 
 
 Thanks and regards,
 Preetam
 
 
 --
 Preetam Pal
 (+91)-9432212774
 M-Stat 2nd Year, Room No. N-114
 Statistics Division,   C.V.Raman
 Hall
 Indian Statistical Institute, B.H.O.S.
 Kolkata.
 
   [[alternative HTML version deleted]]
 
 __
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Re: [R] Help

2013-04-27 Thread zilefacel...@yahoo.com

   Hi A.K,

   Thanks for  this great help. I wish to find -999.99M and replace with NA.
   All others like T, A, F etc should be deleted from the files.


   Thanks for much.
   -- Original Message --

 From : arun
 To : Zilefac Elvis;
 Cc : R help;
 Sent : 27-04-2013 16:29
 Subject : Re: [R] Help

HI,

Find 'T','C','A','F' and 'Y', delete them from all the 110 files
I assume that you meant to replace it with NA.


set.seed(28)
myfiles- lapply(1:5,function(i) as.data.frame(matrix(sample(c(LETTERS,-999.99
M),40*i,replace=TRUE),ncol=(40*i)/8),stringsAsFactors=FALSE))
 myfiles[[1]]
#  V1 V2   V3 V4 V5
#1  A  PK  O  Y
#2  C  ZS  M  Y
#3  M  S -999.99M  G  I
#4  X  RM  G  X
#5  C  QG  A  P
#6  U  WG  B  K
#7  A  NZ  X  R
#8  X  IF  M  K


res-lapply(myfiles,function(x) {x1-unlist(x); x1[x1%in% c(-999.99M,T,C,
A,F,Y)]-NA;as.data.frame(matrix(x1,ncol=ncol(x)),stringsAsFactors=FALSE)
})

res[[1]]
 #   V1 V2   V3   V4   V5
#1   PKO 
#2   ZSM 
#3M  S GI
#4X  RMGX
#5   QG P
#6U  WGBK
#7   NZXR
#8X  I MK

lapply(seq_along(res),function(i) write.table(res[[i]],paste0(file,i,.txt),
row.names=FALSE,quote=FALSE))
A.K.


- Original Message -
From: Zilefac Elvis 
To: r-help@r-project.org 
Cc: 
Sent: Saturday, April 27, 2013 11:20 AM
Subject: [R] Help

Hello,



I have a question and need your help urgently. I am new to R but want to learn 
it.

I have several files in a folder which I have imported to R using :
temp = list.files(pattern=*.txt)
myfiles = lapply(temp, read.delim)
The resulting files are on the workspace stored as List[110]. So they are 110 f
iles in the list. Each file has several different columns and rows.
My question: I would like to find and replace -999.99M with NA; Find 'T','C','A
','F' and 'Y', delete them from all the 110 files.
Then, I want to write.table all the corrected files back to a folder on my comp
uter.
Thanks for your help.
Atem.
 



From: r-help-requ...@r-project.org 

Sent: Friday, April 26, 2013 11:08 AM
Subject: confirm bfdc3137cee0135cf3c616295c9d0e2b3adfd392


Mailing list subscription confirmation notice for mailing list R-help

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Re: [R] Help

2013-04-27 Thread arun




Hi,
If you wanted to delete T, C,A, F and Y and replace -999.99M with 
NA, it is possible, but the result would be stored in a list if 
the number of elements deleted from each of the columns are different.   As you 
didn't provide any reproducible example, I don't know whether equal number of 
elements are replaced from each columns or not..

set.seed(28)
myfiles- lapply(1:5,function(i) 
as.data.frame(matrix(sample(c(LETTERS,-999.99M),40*i,replace=TRUE),ncol=(40*i)/8),stringsAsFactors=FALSE))
res-lapply(myfiles,function(x){x[x==-999.99M]-NA;lapply(x,function(y) 
y[!y%in%c(T,C,A,F,Y)])})
res[[1]]
#$V1
#[1] M X U X
#
#$V2
#[1] P Z S R Q W N I
#
#$V3
#[1] K S NA  M G G Z
#
#$V4
#[1] O M G G B X M
#
#$V5
#[1] I X P K R K

A.K.

From: zilefacel...@yahoo.com zilefacel...@yahoo.com
To: arun smartpink...@yahoo.com 
Cc: R help r-help@r-project.org 
Sent: Saturday, April 27, 2013 9:41 PM
Subject: Re: Re: [R] Help







Hi A.K,


Thanks for  this great help. I wish to find -999.99M and replace with NA. All 
others like T, A, F etc should be deleted from the files.





Thanks for much.

-- Original Message --



From : arun
To : Zilefac Elvis;
Cc : R help;
Sent : 27-04-2013 16:29
Subject : Re: [R] Help
 
HI, Find 'T','C','A','F' and 'Y', delete them from all the 110 files
I assume that you meant to replace it with NA. set.seed(28)
myfiles- lapply(1:5,function(i) 
as.data.frame(matrix(sample(c(LETTERS,-999.99M),40*i,replace=TRUE),ncol=(40*i)/8),stringsAsFactors=FALSE))
 myfiles[[1]]
#  V1 V2   V3 V4 V5
#1  A  P    K  O  Y
#2  C  Z    S  M  Y
#3  M  S -999.99M  G  I
#4  X  R    M  G  X
#5  C  Q    G  A  P
#6  U  W    G  B  K
#7  A  N    Z  X  R
#8  X  I    F  M  K res-lapply(myfiles,function(x) {x1-unlist(x); 
x1[x1%in% 
c(-999.99M,T,C,A,F,Y)]-NA;as.data.frame(matrix(x1,ncol=ncol(x)),stringsAsFactors=FALSE)})
 res[[1]] #   V1 V2   V3   V4   V5
#1    P    K    O  
#2    Z    S    M  
#3    M  S  G    I
#4    X  R    M    G    X
#5    Q    G  P
#6    U  W    G    B    K
#7    N    Z    X    R
#8    X  I  M    K lapply(seq_along(res),function(i) 
write.table(res[[i]],paste0(file,i,.txt),row.names=FALSE,quote=FALSE))
A.K. - Original Message -
From: Zilefac Elvis  
To: r-help@r-project.org  
Cc: 
Sent: Saturday, April 27, 2013 11:20 AM
Subject: [R] Help Hello, I have a question and need your help urgently. I am 
new to R but want to learn it. I have several files in a folder which I have 
imported to R using :
temp = list.files(pattern=*.txt)
myfiles = lapply(temp, read.delim)
The resulting files are on the workspace stored as List[110]. So they are 110 
files in the list. Each file has several different columns and rows.
My question: I would like to find and replace -999.99M with NA; Find 
'T','C','A','F' and 'Y', delete them from all the 110 files.
Then, I want to write.table all the corrected files back to a folder on my 
computer.
Thanks for your help.
Atem. 
From: r-help-requ...@r-project.org   Sent: Friday, April 26, 2013 11:08 AM
Subject: confirm bfdc3137cee0135cf3c616295c9d0e2b3adfd392 Mailing list 
subscription confirmation notice for mailing list R-help We have received a 
request from 129.132.148.130 for subscription of r-help@r-project.org mailing 
list.  To confirm that you want to be
added to this mailing list, simply reply to this message, keeping the
Subject: header intact.  Or visit this web page:    
https://stat.ethz.ch/mailman/confirm/r-help/bfdc3137cee0135cf3c616295c9d0e2b3adfd392
 Or include the following line -- and only the following line -- in a
message to r-help-requ...@r-project.org:    confirm 
bfdc3137cee0135cf3c616295c9d0e2b3adfd392 Note that simply sending a `reply' to 
this message should work from
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Re: [R] r syntax

2013-04-27 Thread Bert Gunter
But there is almost certainly no need to do this in the first place!

-- Bert

On Sat, Apr 27, 2013 at 3:57 PM, Rui Barradas ruipbarra...@sapo.pt wrote:
 Hello,

 You should provide us with a data example.

 In the following, the two solutions are completely different but both of
 them do what you want. Note that the second creates a factor variable, whose
 levels are coded as integers. See R-intro.pdf in your doc directory, chapter
 4 Ordered and unordered factors.


 x - sample(c(Male, Female), 10, replace = TRUE)

 y1 - ifelse(x == Male, 1L, 2L)
 y2 - factor(x, levels = c(Male, Female))


 Hope this helps,

 Rui Barradas

 Em 27-04-2013 15:32, sgs sys escreveu:

 Hi

 i  want  to recode Male  =1  and  female  =2  in  R
 what  is  the  syntax  for  same ?
 thanks
 Sameer

 [[alternative HTML version deleted]]

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-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm

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Re: [R] Help

2013-04-27 Thread Jeff Newmiller
What do you mean when you say deleted from the files? You are discussing 
using space delimited files. What do you want to occupy the places where those 
letters are?
---
Jeff NewmillerThe .   .  Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#.   ##.#.  Live Go...
  Live:   OO#.. Dead: OO#..  Playing
Research Engineer (Solar/BatteriesO.O#.   #.O#.  with
/Software/Embedded Controllers)   .OO#.   .OO#.  rocks...1k
--- 
Sent from my phone. Please excuse my brevity.

zilefacel...@yahoo.com zilefacel...@yahoo.com wrote:


   Hi A.K,

Thanks for  this great help. I wish to find -999.99M and replace with
NA.
   All others like T, A, F etc should be deleted from the files.


   Thanks for much.
   -- Original Message --

 From : arun
 To : Zilefac Elvis;
 Cc : R help;
 Sent : 27-04-2013 16:29
 Subject : Re: [R] Help

HI,

Find 'T','C','A','F' and 'Y', delete them from all the 110 files
I assume that you meant to replace it with NA.


set.seed(28)
myfiles- lapply(1:5,function(i)
as.data.frame(matrix(sample(c(LETTERS,-999.99
M),40*i,replace=TRUE),ncol=(40*i)/8),stringsAsFactors=FALSE))
 myfiles[[1]]
#  V1 V2   V3 V4 V5
#1  A  PK  O  Y
#2  C  ZS  M  Y
#3  M  S -999.99M  G  I
#4  X  RM  G  X
#5  C  QG  A  P
#6  U  WG  B  K
#7  A  NZ  X  R
#8  X  IF  M  K


res-lapply(myfiles,function(x) {x1-unlist(x); x1[x1%in%
c(-999.99M,T,C,
A,F,Y)]-NA;as.data.frame(matrix(x1,ncol=ncol(x)),stringsAsFactors=FALSE)
})

res[[1]]
 #   V1 V2   V3   V4   V5
#1   PKO 
#2   ZSM 
#3M  S GI
#4X  RMGX
#5   QG P
#6U  WGBK
#7   NZXR
#8X  I MK

lapply(seq_along(res),function(i)
write.table(res[[i]],paste0(file,i,.txt),
row.names=FALSE,quote=FALSE))
A.K.


- Original Message -
From: Zilefac Elvis 
To: r-help@r-project.org 
Cc: 
Sent: Saturday, April 27, 2013 11:20 AM
Subject: [R] Help

Hello,



I have a question and need your help urgently. I am new to R but want
to learn 
it.

I have several files in a folder which I have imported to R using :
temp = list.files(pattern=*.txt)
myfiles = lapply(temp, read.delim)
The resulting files are on the workspace stored as List[110]. So they
are 110 f
iles in the list. Each file has several different columns and rows.
My question: I would like to find and replace -999.99M with NA; Find
'T','C','A
','F' and 'Y', delete them from all the 110 files.
Then, I want to write.table all the corrected files back to a folder on
my comp
uter.
Thanks for your help.
Atem.
 



From: r-help-requ...@r-project.org 

Sent: Friday, April 26, 2013 11:08 AM
Subject: confirm bfdc3137cee0135cf3c616295c9d0e2b3adfd392


Mailing list subscription confirmation notice for mailing list R-help

We have received a request from 129.132.148.130 for subscription of

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b3adfd392


Or include the following line -- and only the following line -- in a
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Note that simply sending a `reply' to this message should work from
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Re: [R] Help

2013-04-27 Thread arun
Hi Atem,

I was able to read the file and removed those suffix letters.  The file had a 
lot of formatting issues.  I don't know about the formatting in your other 
files.  Also, there were lines  that differ in the number of elements. 

If it is similar to the one you send, you can try this:
  con- file(dt306A009.txt)
 Lines1- readLines(con)
 close(con)
 Lines2- Lines1[-1]
 length(Lines2)
#[1] 1140
library(stringr)
Lines3-str_split(Lines2,-.99M)
Lines4- 
str_trim(unlist(lapply(Lines3,function(x){x[x==]-NA;paste(x,collapse= )})))
Lines5-gsub((\\d+)[A-Za-z],\\1,Lines4)
res-read.table(text=Lines5,sep=,header=FALSE,fill=TRUE)
 head(res)
#    V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17 V18 V19 V20
#1 1917  1 NA NA NA NA NA NA NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA
#2 1917  2 NA NA NA NA NA NA NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA
#3 1917  3 NA NA NA NA NA NA NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA
#4 1917  4 NA NA NA NA NA NA NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA
#5 1917  5 NA NA NA NA NA NA NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA
#6 1917  6  0  0  0  0  0  0  0   0   0   0   0   0   0   0   0   0   0   0
#    V21 V22  V23  V24 V25 V26 V27 V28 V29 V30  V31 V32 V33
#1    NA  NA   NA   NA  NA  NA  NA  NA  NA  NA   NA  NA  NA
#2    NA  NA   NA   NA  NA  NA  NA  NA  NA  NA   NA  NA  NA
#3    NA  NA   NA   NA  NA  NA  NA  NA  NA  NA   NA  NA  NA
#4    NA  NA   NA   NA  NA  NA  NA  NA  NA  NA   NA  NA  NA
#5    NA  NA   NA   NA  NA  NA  NA  NA  NA  NA   NA  NA  NA
#6 14.47 2.3 3.34 1.05   0   0   0   0   0   0 1.57   0  NA
temp- list.files(pattern=*.txt)

#Reading multiple files. In this case, I am reading the same file saved with 
different names.
 temp
#[1] dt306A009.txt dt306A010.txt
res-lapply(temp,function(x) {con- file(x); Lines1- readLines(con); 
close(con);Lines2-Lines1[-1]; Lines3- str_split(Lines2,-.99M);Lines4- 
str_trim(unlist(lapply(Lines3,function(x){x[x==]-NA;paste(x,collapse= 
)})));Lines5- gsub((\\d+)[A-Za-z],\\1,Lines4);res- 
read.table(text=Lines5,sep=,header=FALSE,fill=TRUE) })
 lapply(res,head,2)
#[[1]]
#    V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17 V18 V19 V20 V21
#1 1917  1 NA NA NA NA NA NA NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA
#2 1917  2 NA NA NA NA NA NA NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA
#  V22 V23 V24 V25 V26 V27 V28 V29 V30 V31 V32 V33
#1  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA
#2  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA
#
#[[2]]
#    V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17 V18 V19 V20 V21
#1 1917  1 NA NA NA NA NA NA NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA
#2 1917  2 NA NA NA NA NA NA NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA
#  V22 V23 V24 V25 V26 V27 V28 V29 V30 V31 V32 V33
#1  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA
#2  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA


A.K.




From: Zilefac Elvis zilefacel...@yahoo.com
To: arun smartpink...@yahoo.com 
Sent: Saturday, April 27, 2013 11:14 PM
Subject: Re: Re: [R] Help





 Hi A.K,

Attached are example files. I have 110 of such and would like to perform the 
analysis as described before. I would find T, F, Y, A, C, etc and delete them. 
The letters are affixed to values in the data just to communicate an idea. As 
before, find all -.99M and replace with NA.

Thanks so much.
Atem.





From: arun smartpink...@yahoo.com
To: zilefacel...@yahoo.com zilefacel...@yahoo.com 
Cc: R help r-help@r-project.org 
Sent: Saturday, April 27, 2013 7:53 PM
Subject: Re: Re: [R] Help






Hi,
If you wanted to delete T, C,A, F and Y and replace -999.99M with 
NA, it is possible, but the result would be stored in a list if 
the number of elements deleted from each of the columns are different.   As you 
didn't provide any reproducible example, I don't know whether equal number of 
elements are replaced from each columns or not..

set.seed(28)
myfiles- lapply(1:5,function(i) 
as.data.frame(matrix(sample(c(LETTERS,-999.99M),40*i,replace=TRUE),ncol=(40*i)/8),stringsAsFactors=FALSE))
res-lapply(myfiles,function(x){x[x==-999.99M]-NA;lapply(x,function(y) 
y[!y%in%c(T,C,A,F,Y)])})
res[[1]]
#$V1
#[1] M X U X
#
#$V2
#[1] P Z S R Q W N I
#
#$V3
#[1] K S NA  M G G Z
#
#$V4
#[1] O M G G B X M
#
#$V5
#[1] I X P K R
K

A.K.

From: zilefacel...@yahoo.com zilefacel...@yahoo.com
To: arun smartpink...@yahoo.com 
Cc: R help r-help@r-project.org 
Sent: Saturday, April 27, 2013 9:41 PM
Subject: Re: Re: [R] Help







Hi A.K,


Thanks for  this great help. I wish to find -999.99M and replace with NA. All 
others like T, A, F etc should be deleted from the files.





Thanks for much.

-- Original Message --



From : arun
To : Zilefac Elvis;
Cc : R help;
Sent :
27-04-2013 16:29
Subject : Re: [R] Help
 
HI, Find 'T','C','A','F' and 'Y', delete them from all the 110 files
I assume that you meant to 

Re: [R] Bls: RE: example

2013-04-27 Thread Jim Lemon

On 04/27/2013 11:32 PM, triutami@gmail.com wrote:

Dear Sir,
Yes, I want to generate the data by two Gaussian but mean from one of them 
generatated from polar its coordinates. I am confused about the algorithm? I know 
how to generate two Gaussian data with certain meancovariance matrix using 
mvnorm but what about mean from its polar coordinates?
Thanks for your help.


Hi Iut,
If you mean transforming a normal (Gaussian) variate into polar 
coordinates, it is not too hard:


polar.norm-180+rnorm(100,0,10)

You can alter the mean point by changing the constant value and the 
extent to which the tails wrap around the circles with the third 
argument to rnorm. Be aware that large negative and positive values 
will wrap around to the polar values of the opposite sign depending 
upon the variance of the normal variate.


Jim

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