Re: [R] Writing a data frame in an excel file

2009-11-16 Thread cls59


anna_l wrote:
 
 Hello, I am having trouble by using the write.table function to write a
 data frame of 4 columns and 7530 rows. I don´t  know if I should just use
 a sep=\n and change the .xls file into a .csv file. Thanks in advance
 


Base R cannot write .xls files by it's self.  You should output CSV using
write.csv():

  write.csv( dataFrame, file = 'results.csv' )

If you are using R on windows, then the RODBC package provides a mechanism
for dumping data frames directly to Excel files, possibly with multiple
sheets:

  require( RODBC )

  xlsFile - odbcConnectExcel( 'results.xls', readOnly = F )

  sqlSave( xlsFile, dataFrame, tablename = 'R Results', rownames = F )

  odbcCloseAll()


The tablename argument to sqlSave allows you to assign a name to the excel
sheet that will contain the data.frame.


-Charlie

-
Charlie Sharpsteen
Undergraduate
Environmental Resources Engineering
Humboldt State University
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Re: [R] Writing a data frame in an excel file

2009-11-16 Thread smu
hello,

sep=\n will seperate each column by \n which is not what you want.

I think a csv would be the best solution.

write.table(yourdataframe,sep=,)

or use write.csv directly.

regards,
 stefan

On Mon, Nov 16, 2009 at 11:49:28AM -0800, anna_l wrote:
 
 Hello, I am having trouble by using the write.table function to write a data
 frame of 4 columns and 7530 rows. I don´t  know if I should just use a
 sep=\n and change the .xls file into a .csv file. Thanks in advance
 
 -
 Anna Lippel
 new in R so be careful I should be asking a lt of questions!:teeth:
 -- 
 View this message in context: 
 http://old.nabble.com/Writing-a-data-frame-in-an-excel-file-tp26378240p26378240.html
 Sent from the R help mailing list archive at Nabble.com.
 
 __
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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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Re: [R] fitting a logistic regression with mixed type of variables

2009-11-16 Thread David Winsemius

On Nov 16, 2009, at 2:53 PM, Jack Luo wrote:

 David,

 Thanks for your reply. Since I am kinda new to this forum, could you  
 please advise me on where to read those questions in R-help?

http://search.r-project.org/nmz.html

http://search.r-project.org/cgi-bin/namazu.cgi?query=%22ordered+factors%22max=100result=normalsort=scoreidxname=functionsidxname=Rhelp08idxname=views

 In addition, I did not pay much attention to the na.action, probably  
 I should use na.action = na.omit instead of na.pass.


Or just accept the default.

 -Jack

 On Mon, Nov 16, 2009 at 2:32 PM, David Winsemius dwinsem...@comcast.net 
  wrote:

 On Nov 16, 2009, at 2:22 PM, Jack Luo wrote:

 Hi,

 I am trying to fit a logistic regression using glm, but my explanatory
 variables are of mixed type: some are numeric, some are ordinal,  
 some are
 categorical, say

 If x1 is numeric, x2 is ordinal, x3 is categorical, is the following  
 formula
 OK?

 The formula's certainly OK. What may be non-OK will be your  
 understanding of the output. The default handling of ordinal factors  
 is a common source of questions to R-help, so read up first.

 *model - glm(y~x1+x2+x3, family=binomial(link=logit),  
 na.action=na.pass)*

 Why have you chosen that na.action option?

 -- 
 David Winsemius, MD
 Heritage Laboratories
 West Hartford, CT



David Winsemius, MD
Heritage Laboratories
West Hartford, CT


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Re: [R] Writing a data frame in an excel file

2009-11-16 Thread Peter Ehlers

anna_l wrote:

Hello, I am having trouble by using the write.table function to write a data
frame of 4 columns and 7530 rows. I don´t  know if I should just use a
sep=\n and change the .xls file into a .csv file. Thanks in advance

-
Anna Lippel
new in R so be careful I should be asking a lt of questions!:teeth:


Excel can read CSV files, so why not just use either
write.csv() or write.table() with sep=,?

 -Peter Ehlers

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Re: [R] Writing a data frame in an excel file

2009-11-16 Thread David Winsemius


On Nov 16, 2009, at 3:06 PM, smu wrote:


hello,

sep=\n will seperate each column by \n which is not what you want.

I think a csv would be the best solution.

write.table(yourdataframe,sep=,)


Excel will also read (and even prefers in some sense) tab delimited  
files, so:


write.table(yourdataframe, file=dataout.xls, sep=\t)




or use write.csv directly.

regards,
stefan

On Mon, Nov 16, 2009 at 11:49:28AM -0800, anna_l wrote:


Hello, I am having trouble by using the write.table function to  
write a data
frame of 4 columns and 7530 rows. I don´t  know if I should just  
use a

sep=\n and change the .xls file into a .csv file. Thanks in advance

-
Anna Lippel

--




David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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Re: [R] fitting a logistic regression with mixed type of variabl

2009-11-16 Thread Ted Harding
On 16-Nov-09 19:22:10, Jack Luo wrote:
 Hi,
 I am trying to fit a logistic regression using glm, but my
 explanatory variables are of mixed type: some are numeric,
 some are ordinal, some are categorical, say
 
 If x1 is numeric, x2 is ordinal, x3 is categorical, is the
 following formula OK?
 
 model - glm(y~x1+x2+x3, family=binomial(link=logit),
  na.action=na.pass)
 
 Thanks,
 -Jack

Speaking rather generally (the details will depend on the nature
of your variables, and of what you want to find out), the formula
itself is OK.

What *is* important is to define your variables so as to respect
their nature, so that the regression can handle them appropriately.

For the quantitative variable x1, there should be no problem;
you can leave it as it is (though in some applications a transform
of it, such as log(x1) or sqrt(x1) may be better, of course).

For the categorical variable x3, this should be treated as a factor
whose levels are the categories. If the categories are represented
alphabetically in the data (e.g. the values of x3 are A,B,C)
then x3 will be converted into a factor when the data are read in.
Then it is only a matter of specifying what system of contrasts
you want (see below).

However, if the values of x3 are represented numerically (e.g. 1,2,3)
then x3 should be explicitly converted into a factor:

  x3 - factor(x3)

with possible additional argument depending on whether you want to
consider the levels as ordered. You should use ordered=TRUE if you
want x3 to be treated as an ordered factor, ordered=FALSE if unordered:

  x3 - factor(x3,ordered=TRUE)
  x3 - factor(x3,ordered=FALSE)

In the case that x3 was read in as a factor in the first place, you
may still want to apply tghe above in order to force ordering or
non-ordering. Read ?factor for more detail.

Then there is the question of contrasts for x3. For unordered factors,
probably treatment contrasts (which compare each level of the factor
with a reference) may be most appropriate. For ordered factors, you
may want to use either Helmert contrasts or successive difference
contrasts.

For treatment contrasts use

  contrasts(x3) - contr.treatment(N)

where n is the number of levels of x3 (see ?contrasts).
For Helmert contrasts, similarly

  contrasts(x3) - contr.helmert(n)

For successive difference contrasts, there is a function contr.diffe
which, however, is not available in the standard packages. However,
there is a contr.diff() on package Epi, and an implementation is also
developed in the MASS book. In that case

  contrasts(x3) - contr.diff(n)

Now for the ordinal variable, x2. Attitudes differ, in different
applications, as to whether to use such a variable as if it were a
numerical variable or as an ordered factor. If it can be considered
meaningful to treat the ordered values as if they were numerical
measure (i.e. the difference between x2=1 and x2=2 can be considered
as effectively equivalent to the difference between x2=2 and x2=3,
etc.) then it can be meaningful to simply treat x2 on the same
footing as x1.

On the other hand, you may only want to go as far as treating x2
as if it were an ordered factor, in which case you can treat it
on the same lines as x3 above.

However, an ordinal variable is often treated as if it were the
index of a subdivision of a latent continuum. For example, a
question might ask the respondent if he is Strongly against,
Somewhat against Indifferent, Somewhat in favour Strongly
in favour some proposal. This forces the respondent to decide
which of these categories best represents their inner intensity
of attitude towards the issue, which is the latent continuum.
Such things can be treated by methods which fit latent variables
to ordered responses, but this goes beyond what can be represented
in a simple linear model such as you give above.

I prefer to leave others, who really know about such things, to
advise on how to proceed in such a case!

Hoping this helps,
Ted.


E-Mail: (Ted Harding) ted.hard...@manchester.ac.uk
Fax-to-email: +44 (0)870 094 0861
Date: 16-Nov-09   Time: 20:14:52
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Re: [R] extracting the last row of each group in a data frame

2009-11-16 Thread Peter Ehlers

I would use pkg:plyr, but just to show how
versatile R is:

ind - cumsum(rle(as.numeric(dat$Name))$lengths)
dat[ind, ]

where I'm assuming that your data frame is
called 'dat'.

 -Peter Ehlers

Hao Cen wrote:

Hi,

I would like to extract the last row of each group in a data frame.

The data frame is as follows

Name Value
A 1
A 2
A 3
B 4
B 8
C 2
D 3

I would like to get a data frame as
Name Value
A 3
B 8
C 2
D 3

Thank you for your suggestions in advance

Jeff

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Re: [R] Writing a data frame in an excel file

2009-11-16 Thread David Winsemius


On Nov 16, 2009, at 3:13 PM, David Winsemius wrote:



On Nov 16, 2009, at 3:06 PM, smu wrote:


hello,

sep=\n will seperate each column by \n which is not what you want.

I think a csv would be the best solution.

write.table(yourdataframe,sep=,)


Excel will also read (and even prefers in some sense) tab delimited  
files, so:


write.table(yourdataframe, file=dataout.xls, sep=\t)


Neither one of those methods will deal with the problem that no  
separator is put in the file on the first row before the colnames. To  
keep the names registered with the columns you would need to set  
row.names=F


write.table(yourdataframe, file=dataout.xls, sep=\t,  
row.names=FALSE)


--
David.







or use write.csv directly.

regards,
stefan

On Mon, Nov 16, 2009 at 11:49:28AM -0800, anna_l wrote:


Hello, I am having trouble by using the write.table function to  
write a data
frame of 4 columns and 7530 rows. I don´t  know if I should just  
use a
sep=\n and change the .xls file into a .csv file. Thanks in  
advance


-
Anna Lippel

--




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Re: [R] test for causality

2009-11-16 Thread Schalk Heunis
Tobias

The grangertest function in the lmtest package might be simpler for your
application.

Regards

Schalk Heunis

On Mon, Nov 16, 2009 at 5:31 PM, tobiasfa tobias.farnly...@gmail.comwrote:


 Hi useRs..

 I cant figure out how to test for causality using causality() in vars
 package

 I have two datasets (A, B) and i want to test if A (Granger)cause B.
 How do I write the script? I dont understand ?causality. How do I get x to
 contain A and B. Further using the command VAR() to specify x, I dont
 either understand.

 Kind regards Tobias

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Re: [R] (Parallel) Random number seed question...

2009-11-16 Thread Dirk Eddelbuettel

On 16 November 2009 at 11:42, Blair Christian wrote:
| I have k identical parallel pieces of code running, each using n.rand
| random numbers.  I would like to use the same RNG (for now), and set
| the seeds so that I can guarantee that there are no overlaps in the
| random numbers sampled by the k pieces of code.  Another side goal is
| to have reproducibility of my results.  In the past I have used C with
| SPRNG for this task, but I'm hoping that there is an easy way to do
| this in R with poor man's parallelization (eg running multiple Rs on
| multiple processors without the overhead of setting up any mpi or
| using snow(fall)).  It is not clear from the documentation if set.seed

Are you aware of the CRAN packages 'rsprng' by Li and 'rlecuyer' by Sevcikova
and Rossini ?

Dirk

-- 
Three out of two people have difficulties with fractions.

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[R] Error using 32-bit R and RODBC package on 64-bit Windows Server OS with R version 2.10

2009-11-16 Thread helpme
I am receiving an error when trying to connect to the Oracle Database using
RODBC on a 64-bit Windows Server OS. The version of R is 2.10.0-win32.exe

Is this the wrong version. Does RODBC only work with 32-bit ODBC drivers?

've read over all the posts and documentation manuals.
The system is Windows Server 2003 with R 2.81. and the latest downloadable
RODBC package. The Oracle SID/DSN is mfopdw. I made sure to add it to
Control Panel-Administrative Priviledges-Microsoft ODBC system/user DNS.

I've also tried the following in no particular order:

1.) Turn on all oracle services in control panel-administrative
priviledges.
2.) Checked tsnnames.ora for SID.
3.) Add microsoft ODBC service to Control Panel services for SID
4.) Use Sqldeveler to test connection another way besides R (It was
successful)
5.) channel-odbcDriverConnect(
connection=Driver={Microsoft ODBC for Oracle};
DSN=abc,UID=abc;PWD=abc;case=oracle)

received error drivers SQLAllocHandle on SQL_HANDLE_ENV failed one time;
another time I got the error that Oracle client and networking components
7.3 or greater is not found.

6.) tnsping mfopdw

lsnrctl start mfopdw

tried to add oracle/bin to path

Nothing is working.





-Melanie

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Re: [R] object not found inside step() function

2009-11-16 Thread shuai yuan
Thanks David.

My code is ok if I did not wrap it up. The problem poped up after i make it
as a function.
In my step() call, i just make it a little bit more general.

I do not like stepwise method too, but need it as a comparison.



samer



On Mon, Nov 16, 2009 at 3:03 PM, David Winsemius dwinsem...@comcast.netwrote:


 On Nov 16, 2009, at 2:31 PM, shuai yuan wrote:

 Hi, there,

 My appologize if someone ask the same question before. I searched the
 mailing list and found one similar post, but not what i want.

 The problem for me is, I use the step( glm()) to do naive forward
 selection for logistic regression.  My code is functional
 in the open environment. But if I wrap it up as a function, then R keeps
 saying object 'a' not found. Actually,  data frame
 a is inside the function.

 I did some search online. i guess the reason may be R did not keep the
 data
 in glm() output after building the model but not sure.
 Can anyone please tell me how to work around this problem?

 Thanks a lot in advance.

 I am using R 2.9.0. Here is the sample code:

 #
 naivelr-function(x,y){
 :
 :
 :

 a-data.frame(x)


 form-paste(y~1+,paste(grep(X.*,names(a),value=T),collapse=+),sep=)

 if(is.null(force.in)!=T){
 lowmo-paste(y~1+,paste(grep(X.*,names(a)[force.in
 ],value=T),collapse=+),sep=)

 } else
 {lowmo-y~1}

 lower1-glm(lowmo,family=binomial,data=data.frame(a,y))
 upper1-glm(form,family=binomial,data=data.frame(a,y))


 You are sticking data.frame= a inside another data.frame 





 stepout-step(lower1,scope=list(lower=lower1,upper=upper1),direction=forward,k=0,trace=100)


 Thats not the way I remember step-ping. I thought you made a fit and then
 stepped the formulas (using the same data), rather putting the whole glm
 object into a lower and an upper. I could be wrong about that since I
 try to avoid using stepwise methods.


 # here is the error:Start:
 #AIC=689.62
 #y ~ 1
 #Error in data.frame(a, y) : object 'a' not found---but a is there!


 But it's probably not in a form that can be interpreted. Consider adding y
 as a column in a.

 David Winsemius, MD
 Heritage Laboratories
 West Hartford, CT



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[R] how can one break or stop or return from a script?

2009-11-16 Thread Stu
Hi,

I am using a script to initialize variables in the global workspace.

Based on some condition, I would like to stop evaluation of a script
sourced on the command-line, without issuing an error.

My current solution is the following hack that uses a repeat { }
statement

--- init.R ---
#hack to enable setting of breakpoint
repeat {

...
if (condition) {
break;
}

...

# remember to break !!
break;
} #end repeat
EOF

Thanks,
- Stu

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Re: [R] Error using 32-bit R and RODBC package on 64-bit Windows Server OS with R version 2.10

2009-11-16 Thread Marc Schwartz

On Nov 16, 2009, at 2:39 PM, helpme wrote:

I am receiving an error when trying to connect to the Oracle  
Database using
RODBC on a 64-bit Windows Server OS. The version of R is 2.10.0- 
win32.exe


Is this the wrong version. Does RODBC only work with 32-bit ODBC  
drivers?


've read over all the posts and documentation manuals.
The system is Windows Server 2003 with R 2.81. and the latest  
downloadable

RODBC package. The Oracle SID/DSN is mfopdw. I made sure to add it to
Control Panel-Administrative Priviledges-Microsoft ODBC system/ 
user DNS.


I've also tried the following in no particular order:

1.) Turn on all oracle services in control panel-administrative
priviledges.
2.) Checked tsnnames.ora for SID.
3.) Add microsoft ODBC service to Control Panel services for SID
4.) Use Sqldeveler to test connection another way besides R (It was
successful)
5.) channel-odbcDriverConnect(
connection=Driver={Microsoft ODBC for Oracle};
DSN=abc,UID=abc;PWD=abc;case=oracle)

received error drivers SQLAllocHandle on SQL_HANDLE_ENV failed one  
time;
another time I got the error that Oracle client and networking  
components

7.3 or greater is not found.

6.) tnsping mfopdw

lsnrctl start mfopdw

tried to add oracle/bin to path

Nothing is working.


Three quick comments:

1. A better place to post these types of queries would be on the R-SIG- 
DB e-mail list, which is focused in this domain. More info here:


  https://stat.ethz.ch/mailman/listinfo/r-sig-db

2. Prof. Ripley will be a more definitive resource, so I would wait  
until he might respond.


3. If you have not yet, be sure to read the RODBC vignette, which is  
available either via:


  vignette(ROBDC)

or online at:

  http://cran.r-project.org/web/packages/RODBC/vignettes/RODBC.pdf


That all being said, since you have now posted what may be the root  
cause of your problem, which is the 64/32 bit details, I will venture  
a guess to say that this may be the problem. Since there is not a 64  
bit version of R for Windows (save I believe the Revolution commercial  
release), if you are using 64 bit Oracle client binaries and ODBC  
drivers (if they exist), they will not be compatible with 32 bit R/ 
RODBC.


I know that on OSX, with 64 bit R/RODBC and 32 bit ODBC drivers for  
Oracle, the connectivity would not work, so it seems reasonable that  
the reverse configuration would not be compatible either.


So, first, I would be sure that you are using 32 bit ODBC drivers for  
Oracle on Windows and not 64 bit. If you installed any other Oracle  
client related software, that likely also needs to be 32 bit as well.


Then I would review the above vignette document and be sure that any  
general installation references and those specifically pertaining to  
Windows have been followed consistently, especially configuring $PATH  
and other environmental configuration items required for Oracle  
itself, which on some platforms usually include things like  
$ORACLE_HOME, $TNS_ADMIN and so forth.  You indicate above:


  tried to add oracle/bin to path

which does not definitively indicate that you actually did so. Did  
you?  Also, check the capitalization, as the path is normally  
something like c:\Oracle\bin.


If you can connect to the Oracle server using Oracle's own clients  
such as the InstantClient, that typically means that most of the  
system configuration issues are correctly set up. If that connection  
is successful, then it may bring us back to the 32/64 bit conflict.


HTH,

Marc Schwartz

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Re: [R] simulated correlated vectors

2009-11-16 Thread Greg Snow
Try this:

x - rexp(100, 1/3)

xp - scale(x)

cor.mat - rbind( c(1, 0.8, 0.7), c(0.8, 1, 0.3), c(0.7, 0.3, 1) )

x23 - matrix( rnorm( 100 * 2, 1/3 ), ncol=2 )

x23 - cbind(xp, scale(x23)) 

x23 - x23 %*% solve(chol(var(x23))) ## skip if you don't want exact cor's

x.new - x23 %*% chol(cor.mat) 
x.new[,1] - x.new[,1]*attr(xp, 'scaled:scale') + attr(xp, 'scaled:center')

all.equal( x.new[,1], x )

cor(x.new)
pairs(x.new)


you can generate the data from other distributions than the normal, and you can 
add and multiply constants in the columns of x.new to give different 
means/sd's.  This will set the correlations, but the exact distributions of the 
columns is not guaranteed.

Hope this helps,

-- 
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111


 -Original Message-
 From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
 project.org] On Behalf Of carol white
 Sent: Thursday, November 12, 2009 9:10 AM
 To: r-h...@stat.math.ethz.ch
 Subject: [R] simulated correlated vectors
 
 Hi,
 Having a vector x of float type without any assumption of its
 distribution (mean, variance etc), how to generate another vector that
 is correlated with x? Extensibility: how to simulate more than two
 correlated vectors (again float type and no preference for their
 distribution and without having vector x)?
 
 Cheers,
 
 Carol
 
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 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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Re: [R] Question about simulation design...

2009-11-16 Thread Greg Snow
You should be able to do this effectively in 1 line:

 my.data - lapply( paste( 'data', 1:N, '.dat', sep='' ), read.table )

Then everything is in my.data, if you want them named then do a second line:

 names(my.data) - paste( 'data', 1:N, '.dat', sep='' )

Doing the same analysis on each dataset can now be done using lapply or sapply.


-- 
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111


 -Original Message-
 From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
 project.org] On Behalf Of Jeff Harring
 Sent: Thursday, November 12, 2009 6:22 AM
 To: r-help@r-project.org
 Subject: [R] Question about simulation design...
 
 Help R list servers,
 
 I have 500 external data sets for a simulation study that I would like
 to bring into R to analyze. They have the names data1.dat, data2.dat,
 ..., dataN.dat
 
 Is there a way to automatize the bringing in of these data sets in R
 using the read.table function within a looping cycle?
 
 For example...
 
 for (j in 1:N){
 data_j = read.table(dataj.dat, header=F)
 
 executable code
 .
 .
 .
 }
 
 bring in the next data set.
 
 SAS uses a ampersand  to automatize the process.
 
 Example code:
 
 data _NULL_;
 set final;
 filename out C:\datak..dat;
 file out;
 put variables;
 run;
 
 I would welcome any insight into how to address this issue.
 
 Thank you.
 Jeff Harring
 
 --
 **
 Jeffrey R. Harring, Assistant Professor
 Department of Measurement, Statistics  Evaluation (EDMS)
 1230 Benjamin Building
 University of Maryland
 College Park, MD 20742-1115
 
 Phone:301.405.3630
 Fax:  301.314.9245
 Email:harr...@umd.edu
 Web:  http://www.education.umd.edu/EDMS/fac/Harring/webpage.html
 
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Re: [R] p-value calculation on a joint distribution

2009-11-16 Thread Greg Snow
I don't think that the p-value concept is as well defined for multivariate 
distributions.  Do you want the area under the curve corresponding to (x  t.x 
 y  t.y) or (x  t.x | y  t.y) or ( t.x + t.y  C ) or all the area where 
the height of the density is less than at t.x,t.y?  or possibly others

Do you have the definition of the density? Or is the data frame a 
representation of the heights of the distribution at given x and y coordinates? 
If the second, do they x and y coordinates form a grid? Or some random pattern? 
Etc.?

-- 
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111


 -Original Message-
 From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
 project.org] On Behalf Of Leon Yee
 Sent: Tuesday, November 10, 2009 11:23 PM
 To: R help
 Subject: [R] p-value calculation on a joint distribution
 
 Dear R users,
 
  For a uni-variable distribution represented in a numerical vector,
 we can obtain a distribution function using 'ecdf', and then calculate
 corresponding p-values. But if I have a 2-column dataframe representing
 a bi-variable joint distribution, given a pair of values, how can I get
 the p-value? And how can I plot out the density of the joint
 distribution?
 
 Best wishes,
 
 Leon
 
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Re: [R] Models

2009-11-16 Thread Greg Snow
If t1-t5 are all correlated with the outcome and with each other, than which 
are significant will depend on variations in the data (it is possible to have a 
set of values t1-t5 that predict the outcome well, but which all have 
nonsignificant p-values when taking the others into account).  Allowing gam to 
fit a non-linear function could easily lead to a different set being 
significant.

My guess is that the question that you are interested in and the question that 
is answered by looking at the p-values are not as similar as you had hoped.  If 
you tell us what question you are trying to answer is, then we may be more 
helpful.

-- 
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111


 -Original Message-
 From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
 project.org] On Behalf Of Val
 Sent: Monday, November 09, 2009 4:08 PM
 To: r-help@r-project.org
 Subject: [R] Models
 
 Hi all,
 I hope that there might be some statistician out there  to help me for
 a
 possible explanation for the following  simple question.
 
  Y1~ lm(y~ t1 + t2 + t3 + t4 + t5,data=temp)  # oridnary linear model
 
 library(gam)
 Y2~ gam(y~ lo(t1) +lo(t2) +lo(t3) +lo(t4) +lo(t5),data=temp) # additive
 model
 In the first model t1,  t2 and t3 found to be  significant,.
 However, in the  second model (using gam package)  t1, t4 and t5 are
  significant.
 
 I was hopping to expect  nearly similar results from both models but I
 found
 the opposite results.
 
 Is there any possible explanation for that?
 
 Thanks
 Val
 
   [[alternative HTML version deleted]]
 
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[R] Poly()

2009-11-16 Thread chris carleton

Hi All,

I was hoping someone could save me the trouble of reading through source code 
and answer a quick question of mine regarding poly(). Does the poly() function 
use a classical orthogonal polynomial series to fit polynomial models, or does 
poly() generate a unique series of orthogonal polynomials based on the method 
described in Kennedy and Gentle (1980:342-347). I understand that the 
aforementioned reference is the source for the recursion used in 
predict.poly(), but I was a bit confused by the documentation regarding how the 
orthogonal polynomial series was constructed in the first place. If any of the 
developers are reading - it would be handy to have the orthogonal polynomial 
series available as an output of poly(), in addition to the coefficients, if 
that function is generating a unique series based on the dataset used for the 
approximation. Thanks to everyone for your time,

Chris
  
_


[[alternative HTML version deleted]]

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Re: [R] Error running lda example from Help File (MASS library )

2009-11-16 Thread Greg Riddick
The actual code for the lda example is below.  If anyone can reproduce the
error,
let me know.  Thanks.


library(MASS)

Iris - data.frame(rbind(iris3[,,1], iris3[,,2], iris3[,,3]),
   Sp = rep(c(s,c,v), rep(50,3)))
train - sample(1:150, 75)
table(Iris$Sp[train])
z - lda(Sp ~ ., Iris, prior = c(1,1,1)/3, subset = train)



Error in if (targetlist[i] == stringname) { : argument is of length zero

System: MacOSX 10.5.8
R:  2.10.0


-- 
Gregory Riddick, PhD.
CRTA Research Fellow

National Institutes of Health
National Cancer Institute, Neuro-Oncology Branch
http://home.ccr.cancer.gov/nob/

37 Convent Drive
Building 37, Room 1142
Bethesda, MD 20892-8202

Phone: 301-443-2490
Fax: 240-396-5920

[[alternative HTML version deleted]]

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[R] Where are usages like == 2L documented?

2009-11-16 Thread Bryan Hanson
Gurus:

I keep seeing other people¹s code that contain ideas like

If (x == 2L)
X[-1L]
X - 1L

I have some idea of what¹s going on, but where is the use of concepts like
³2L² documented?

Thanks, Bryan
*
Bryan Hanson
Acting Chair
Professor of Chemistry  Biochemistry
DePauw University, Greencastle IN USA

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Re: [R] extracting the last row of each group in a data frame

2009-11-16 Thread Gabor Grothendieck
Try this:

 aggregate(DF[-1], DF[1], tail, 1)
  Name Value
1A 3
2B 8
3C 2
4D 3


On Mon, Nov 16, 2009 at 2:42 PM, Hao Cen h...@andrew.cmu.edu wrote:
 Hi,

 I would like to extract the last row of each group in a data frame.

 The data frame is as follows

 Name Value
 A 1
 A 2
 A 3
 B 4
 B 8
 C 2
 D 3

 I would like to get a data frame as
 Name Value
 A 3
 B 8
 C 2
 D 3

 Thank you for your suggestions in advance

 Jeff

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Re: [R] Where are usages like == 2L documented?

2009-11-16 Thread David Winsemius


On Nov 16, 2009, at 6:22 PM, Bryan Hanson wrote:


Gurus:

I keep seeing other people’s code that contain ideas like

If (x == 2L)
X[-1L]
X - 1L

I have some idea of what’s going on, but where is the use of  
concepts like

“2L” documented?


Not sure where exactly, and it would depend on where you learned R.  
The integer data type information and notation should have been found  
among the material where you learned about numeric, character,  
logical,  that sort of basic notion.


--

David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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Re: [R] Where are usages like == 2L documented?

2009-11-16 Thread Duncan Murdoch

Bryan Hanson wrote:

Gurus:

I keep seeing other people¹s code that contain ideas like

If (x == 2L)
X[-1L]
X - 1L

I have some idea of what¹s going on, but where is the use of concepts like
³2L² documented?
  


In the R Language Definition manual.  In this case, look in section 
3.1.1, Constants.


Duncan Murdoch


Thanks, Bryan
*
Bryan Hanson
Acting Chair
Professor of Chemistry  Biochemistry
DePauw University, Greencastle IN USA

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Re: [R] Error on reading an excel file

2009-11-16 Thread Gabor Grothendieck
That doesn't necessarily follow since the various methods don't use
Excel itself to create the csv file.

On Mon, Nov 16, 2009 at 1:22 PM, cls59 ch...@sharpsteen.net wrote:


 Gabor Grothendieck wrote:

 You could try one of the other methods of reading Excel files and see
 if they are affected:


 I would guess that since Excel includes the blank rows when exporting to
 CSV, then blank cells are being stored by Excel in the data files--
 therefore any method of extracting data from those files will also pick up
 the empty cells.

 I think the crux of this issue lies with Excel and you will probably have to
 look for a fix there.


 -Charlie

 -
 Charlie Sharpsteen
 Undergraduate
 Environmental Resources Engineering
 Humboldt State University
 --
 View this message in context: 
 http://old.nabble.com/Error-on-reading-an-excel-file-tp26371750p26376915.html
 Sent from the R help mailing list archive at Nabble.com.

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[R] lmomco package and confidence limits?

2009-11-16 Thread Douglas M. Hultstrand

Hello,

I am using the lmomco package (lmom.ub and pargev) to compute the GEV 
parameters (location, scale, and shape), which are used to estimate 
return values.  I was wondering how/if I can calculate upper and lower 
confidence (CI_u, CI_l) intervals for each return frequency using the 
GEV parameters to fill-in the table below?


Xi (location)   =  35.396
Alpha (scale) =  1.726
Kappa (shape) =  0.397

Year, Return value, CI_u, CL_l
2, 36.0,
5, 37.3,
10, 38.0,
25, 38.5,
50, 38.8,
100, 39.0,

Thank you for your help/suggestions,
Doug

--
-
Douglas M. Hultstrand, MS
Senior Hydrometeorologist
Metstat, Inc. Windsor, Colorado
voice: 970.686.1253
email: dmhul...@metstat.com
web: http://www.metstat.com

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Re: [R] Where are usages like == 2L documented?

2009-11-16 Thread Steven McKinney


?NumericConstants

will bring up a help page that mentions 

All other numeric constants start with a digit or period and are either a 
decimal or hexadecimal constant optionally followed by L.

and

An numeric constant immediately followed by L is regarded as an integer number 
when possible (and with a warning if it contains a .). 

but I haven't found discussion of it anywhere else in the help pages.
Others may know what other help pages discuss this.

I'm surprised that the help page invoked from
?integer
does not discuss this.  Anyone know why not?

Best
Steve McKinney




 -Original Message-
 From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
 project.org] On Behalf Of Bryan Hanson
 Sent: Monday, November 16, 2009 3:23 PM
 To: R Help
 Subject: [R] Where are usages like == 2L documented?
 
 Gurus:
 
 I keep seeing other people¹s code that contain ideas like
 
 If (x == 2L)
 X[-1L]
 X - 1L
 
 I have some idea of what¹s going on, but where is the use of concepts
 like
 ³2L² documented?
 
 Thanks, Bryan
 *
 Bryan Hanson
 Acting Chair
 Professor of Chemistry  Biochemistry
 DePauw University, Greencastle IN USA
 
 __
 R-help@r-project.org mailing list
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 guide.html
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[R] Paper on data exploration

2009-11-16 Thread Alain Zuur

R users doing data analysis may be interested in the following paper:

http://methodsblog.wordpress.com/2009/11/13/first-paper-now-online/?utm_source=feedburnerutm_medium=feedutm_campaign=Feed%3A+wordpress%2Fmethodsblog+(methods.blog)

All data and R code is available.

Alain


-

Dr. Alain F. Zuur
First author of:

1. Analysing Ecological Data (2007).
Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p.

2. Mixed effects models and extensions in ecology with R. (2009).
Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer.

3. A Beginner's Guide to R (2009).
Zuur, AF, Ieno, EN, Meesters, EHWG. Springer


Statistical consultancy, courses, data analysis and software
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Email: highs...@highstat.com
URL: www.highstat.com



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[R] Fwd: dendrogram

2009-11-16 Thread joris meys
I was missing something. Thx Dennis.


-- Forwarded message --
From: Dennis Murphy djmu...@gmail.com
Date: Tue, Nov 17, 2009 at 12:34 AM
Subject: Re: dendrogram
To: jorism...@gmail.com


Hi,

There are a couple of things you could do to pull the text back into
the dendrogram plot,
both of which I found by looking at the example for pltree.twins() in
the cluster package.

Method 1: Adjust the graphical parameters to add more space on the right:

op - par(mar = par(mar) + c(0,0,0, 2))
plot(as.dendrogram(TestAgnes), horiz = TRUE, center = TRUE)
par(op)    # returns graphical parameters to their original state

Method 2: Reduce the font size of the labels (very useful if the
dendrogram has a large
   number of labels.

plot(as.dendrogram(TestAgnes), horiz = TRUE, center = TRUE,
  nodePar = list(lab.cex = 0.7, pch = NA))

Why did I look at pltree.twins?

 class(TestAgnes)
[1] agnes twins

HTH.

DM

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Re: [R] Where are usages like == 2L documented?

2009-11-16 Thread Duncan Murdoch

On 16/11/2009 6:47 PM, Steven McKinney wrote:


?NumericConstants

will bring up a help page that mentions 


All other numeric constants start with a digit or period and are either a decimal 
or hexadecimal constant optionally followed by L.

and

An numeric constant immediately followed by L is regarded as an integer number when possible 
(and with a warning if it contains a .). 

but I haven't found discussion of it anywhere else in the help pages.
Others may know what other help pages discuss this.

I'm surprised that the help page invoked from
?integer
does not discuss this.  Anyone know why not?


This is part of the syntax of the language.  It has nothing to do with 
the integer() function, which is what ?integer is asking about.


Duncan Murdoch



Best
Steve McKinney





-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On Behalf Of Bryan Hanson
Sent: Monday, November 16, 2009 3:23 PM
To: R Help
Subject: [R] Where are usages like == 2L documented?

Gurus:

I keep seeing other people¹s code that contain ideas like

If (x == 2L)
X[-1L]
X - 1L

I have some idea of what¹s going on, but where is the use of concepts
like
³2L² documented?

Thanks, Bryan
*
Bryan Hanson
Acting Chair
Professor of Chemistry  Biochemistry
DePauw University, Greencastle IN USA

__
R-help@r-project.org mailing list
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guide.html
and provide commented, minimal, self-contained, reproducible code.


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Re: [R] Where are usages like == 2L documented?

2009-11-16 Thread Gabor Grothendieck
On Mon, Nov 16, 2009 at 7:25 PM, Duncan Murdoch murd...@stats.uwo.ca wrote:
 On 16/11/2009 6:47 PM, Steven McKinney wrote:

 ?NumericConstants

 will bring up a help page that mentions
 All other numeric constants start with a digit or period and are either a
 decimal or hexadecimal constant optionally followed by L.

 and

 An numeric constant immediately followed by L is regarded as an integer
 number when possible (and with a warning if it contains a .). 

 but I haven't found discussion of it anywhere else in the help pages.
 Others may know what other help pages discuss this.

 I'm surprised that the help page invoked from
 ?integer
 does not discuss this.  Anyone know why not?

 This is part of the syntax of the language.  It has nothing to do with the
 integer() function, which is what ?integer is asking about.

It might be useful to have a SeeAlso to NumericConstants on that help
page for those who looked up ?integer thinking it might be about
integer constants.

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Re: [R] Where are usages like == 2L documented?

2009-11-16 Thread Bryan Hanson
As the OP, I will say that I had deduced that it probably was a way of
specifying type integer, so I went to the ?integer page hoping for further
info.  I agree there should be some kind of short comment or see also at
that page.  I've been a self-taught user of R for about a year and a half,
and this is one of the better hidden pieces of information.  I had looked at
the R Lang document, and probably should again for some additional ideas,
but that was a long time ago.  I did an RSiteSearch(1L) but not
surprisingly this returns many uses of the feature, not the definition, at
least not in the first few pages.

Thanks for the tips.  Bryan
*
Bryan Hanson
Acting Chair
Professor of Chemistry  Biochemistry
DePauw University, Greencastle IN USA



On 11/16/09 7:52 PM, Gabor Grothendieck ggrothendi...@gmail.com wrote:

 On Mon, Nov 16, 2009 at 7:25 PM, Duncan Murdoch murd...@stats.uwo.ca wrote:
 On 16/11/2009 6:47 PM, Steven McKinney wrote:
 
 ?NumericConstants
 
 will bring up a help page that mentions
 All other numeric constants start with a digit or period and are either a
 decimal or hexadecimal constant optionally followed by L.
 
 and
 
 An numeric constant immediately followed by L is regarded as an integer
 number when possible (and with a warning if it contains a .). 
 
 but I haven't found discussion of it anywhere else in the help pages.
 Others may know what other help pages discuss this.
 
 I'm surprised that the help page invoked from
 ?integer
 does not discuss this.  Anyone know why not?
 
 This is part of the syntax of the language.  It has nothing to do with the
 integer() function, which is what ?integer is asking about.
 
 It might be useful to have a SeeAlso to NumericConstants on that help
 page for those who looked up ?integer thinking it might be about
 integer constants.
 
 __
 R-help@r-project.org mailing list
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 PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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Re: [R] how can one break or stop or return from a script?

2009-11-16 Thread Don MacQueen

I don't know how to do this in the way you describe.

Easy alternatives include:

 - putting the part of the script that is to be executed 
conditionally into a separate file, and then source it or not based 
on some condition.

  - simply wrapping the different parts of the script in if, then, else blocks.

-Don

At 1:37 PM -0800 11/16/09, Stu wrote:

Hi,

I am using a script to initialize variables in the global workspace.

Based on some condition, I would like to stop evaluation of a script
sourced on the command-line, without issuing an error.

My current solution is the following hack that uses a repeat { }
statement

--- init.R ---
#hack to enable setting of breakpoint
repeat {

...
if (condition) {
break;
}

...

# remember to break !!
break;
} #end repeat
EOF

Thanks,
- Stu

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925-423-1062

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Re: [R] Where are usages like == 2L documented?

2009-11-16 Thread Steven McKinney

 -Original Message-
 From: Gabor Grothendieck [mailto:ggrothendi...@gmail.com]
 Sent: Monday, November 16, 2009 4:52 PM
 To: Duncan Murdoch
 Cc: Steven McKinney; R Help
 Subject: Re: [R] Where are usages like == 2L documented?
 
 On Mon, Nov 16, 2009 at 7:25 PM, Duncan Murdoch murd...@stats.uwo.ca
 wrote:
  On 16/11/2009 6:47 PM, Steven McKinney wrote:
 
  ?NumericConstants
 
  will bring up a help page that mentions
  All other numeric constants start with a digit or period and are
 either a
  decimal or hexadecimal constant optionally followed by L.
 
  and
 
  An numeric constant immediately followed by L is regarded as an
 integer
  number when possible (and with a warning if it contains a .). 

The word integer in the above sentence of the NumericConstants help
page is hyperlinked to the integer() function page.  There is then no
example or discussion of L there.

 
  but I haven't found discussion of it anywhere else in the help
 pages.
  Others may know what other help pages discuss this.
 
  I'm surprised that the help page invoked from
  ?integer
  does not discuss this.  Anyone know why not?
 
  This is part of the syntax of the language.  It has nothing to do
 with the
  integer() function, which is what ?integer is asking about.
 
 It might be useful to have a SeeAlso to NumericConstants on that help
 page for those who looked up ?integer thinking it might be about
 integer constants.

Yes, additional discussion of L would be very valuable.  I've had
several people ask me about usages, as this original poster did.
I think that increased use of L has outpaced updating of help entries.
Given that L is appearing in more places, I'd like to request additional
discussion of it and examples using it in help pages.

 class(1L)
[1] integer
 storage.mode(1L)
[1] integer

Since integer is the term often associated with this language construct,
that seems a natural place to say something about it, and direct users
to other appropriate help pages.

The help page for storage.mode() shows an example with 1i in it,
could 1L please also be added?  (1.0 or 1. would also be useful.)

cex3 - c(NULL,1,1:1,1i,list(1),data.frame(x=1),
  pairlist(pi), c, lm, formals(lm)[[1]],  formals(lm)[[2]],
  y~x,expression((1))[[1]], (y~x)[[1]],
  expression(x - pi)[[1]][[1]])


The L language construct is often used in length checks such as
in the sample() function  if (length(x) == 1L ...

The length() function help page discusses
 The default method currently returns an integer of length 1.
again with the integer hyperlinked to the integer() help page.
Since length() therefore can only assess integer lengths
from 0 to about 2^31 - 1 it would be helpful to discuss this
integer L construct and the range of values that can be expressed
with mode integer more fully somewhere in one of these help topics.


 sample
function (x, size, replace = FALSE, prob = NULL) 
{
if (length(x) == 1L  is.numeric(x)  x = 1) {
if (missing(size)) 
size - x
.Internal(sample(x, size, replace, prob))
}
else {
if (missing(size)) 
size - length(x)
x[.Internal(sample(length(x), size, replace, prob))]
}
}
environment: namespace:base


Best
Steve McKinney

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Re: [R] Error on reading an excel file

2009-11-16 Thread cls59



Gabor Grothendieck wrote:
 
 That doesn't necessarily follow since the various methods don't use
 Excel itself to create the csv file.
 

I was trying to point out cases where I have seen this behavior and R wasn't
involved.  Now that I think about it, I have observed to blank cells in a
Google Docs spreadsheets that were created from .xls files.

My point is that Excel, not R, may be the common denominator in this
problem.

-Charlie

-
Charlie Sharpsteen
Undergraduate
Environmental Resources Engineering
Humboldt State University
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Re: [R] Error on reading an excel file

2009-11-16 Thread butter

i have used excel almost exclusively to import data files and CSV is fine.
why dont you just go to the bottom of the excel sheet after you convert to
CSV and clean out the last rows, delete the end rows. also maybe try another
spread sheet program like open office, openoffice.org.

cls59 wrote:
 
 
 
 Gabor Grothendieck wrote:
 
 That doesn't necessarily follow since the various methods don't use
 Excel itself to create the csv file.
 
 
 I was trying to point out cases where I have seen this behavior and R
 wasn't involved.  Now that I think about it, I have observed to blank
 cells in a Google Docs spreadsheets that were created from .xls files.
 
 My point is that Excel, not R, may be the common denominator in this
 problem.
 
 -Charlie
 

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Re: [R] How to generate dependency file that can be used by gnu make?

2009-11-16 Thread Peng Yu
On Sun, Nov 15, 2009 at 8:45 PM, Peng Yu pengyu...@gmail.com wrote:
 gcc has options like -MM, which can generate the dependence files for
 a C/C++ file that I can be used by gnu make. I'm wondering if there is
 a tool that can generate dependence file for an R script.

 For example, I have an R script test.R

 #test.R
 load('input.RData')
 save.image('output.RData')


 I want to generate a dependence file like the following. Is there a
 tool to do so?

 output.RData:test.R input.RData

Is there a way to automatically generate the output files that depends
on an R script and the input files and sourced files that are depended
by an R script? I don't see this option in R. But I wish this can be
implemented in future version of R.

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Re: [R] extracting the last row of each group in a data frame

2009-11-16 Thread Hao Cen
Thanks to all who helped. These are all great suggestions. 

Jeff

-Original Message-
From: Gabor Grothendieck [mailto:ggrothendi...@gmail.com] 
Sent: Monday, November 16, 2009 6:27 PM
To: Hao Cen
Cc: r-help@r-project.org
Subject: Re: [R] extracting the last row of each group in a data frame

Try this:

 aggregate(DF[-1], DF[1], tail, 1)
  Name Value
1A 3
2B 8
3C 2
4D 3


On Mon, Nov 16, 2009 at 2:42 PM, Hao Cen h...@andrew.cmu.edu wrote:
 Hi,

 I would like to extract the last row of each group in a data frame.

 The data frame is as follows

 Name Value
 A 1
 A 2
 A 3
 B 4
 B 8
 C 2
 D 3

 I would like to get a data frame as
 Name Value
 A 3
 B 8
 C 2
 D 3

 Thank you for your suggestions in advance

 Jeff

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[R] Biometric Summit - 2010

2009-11-16 Thread William Rogers


JOIN YOUR COLLEAGUES FOR THE 20TH HIGHLY ACCLAIMED 
INTERNATIONAL FORUM TO HEAR THE LATEST IMPLEMENTATIONS OF
BIOMETRICS...

THE WINTER 2010 BIOMETRICS SUMMIT:

Practical Implementation Strategies, Market Trends 
And Best Practices In Government And Business

February 22-25, 2010 - Miami, FL
http://www.aliconferences.com/conf/biometrics_summit_winter10/index.htm
[http://www.cuemails.com/cu2008/_links.php?id=884]

*** EARLY BIRD DISCOUNT: Register by DECEMBER 8th to save $400! ***
*** Mention priority code E-BD to receive a $200 discount! ***

Attend this leading industry forum to meet, question and hear the 
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11. Omnicell, Inc.

12. National Biometric Security Project

13. Unisys

14. BIO-Key International

15. Delfigo Security

16. Identica

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19. AllTrust Networks

Featuring Keynote Presentation by Dr. Joseph Atick

To register or for more information:
--
CALL: Toll Free within the U.S. 888-362-7400, ext. 1 --or--
773-695-9400, ext. 1

ONLINE:
http://www.aliconferences.com/conf/biometrics_summit_winter10/index.htm
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EMAIL: meli...@aliconferences.com [mailto:meli...@aliconferences.com]

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* * * * * * * * * *
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* * * * * * * * * *
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Government, Healthcare And Business
**

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February 23-24, 2010, Miami, FL
http://www.aliconferences.com/conf/biometrics_summit_winter10/index.htm
[http://www.cuemails.com/cu2008/_links.php?id=884]

DAY ONE, Tuesday, February 23, 2010


8:30 Chairperson's Welcome  Opening Remarks 
-- Samir Nanavati, Partner 
INTERNATIONAL BIOMETRIC GROUP (IBG)

8:40 Global And Mobile Identity Management: 
Business Processes And Technical Innovations To 
Ensure The Secure Flow Of Identities 
-- Dr. Joseph Atick, Executive Vice President, Chief Strategic
Officer 
L-1 IDENTITY SOLUTIONS, INC.

9:40 Speed Networking: Become acquainted with your fellow 
attendees in this fun and fast-paced forum!

10:10 Morning Networking Break  Exhibits

10:40 Deploying Biometrics Under Challenging Conditions 
And Cost Restrictions 
-- Andrew Chai, Engineering Manager 
OMNICELL, INC. -- 
-- Samir Nanavati, Partner 
INTERNATIONAL BIOMETRIC GROUP (IBG)

11:30 How A Major Retailer Streamlined The 

[R] non homogeneous poisson process

2009-11-16 Thread frenchcr

I want to do a non homogeneous poisson process model in R.

Any advice, or know of places where i can get some, ive googled it but
nothing came up relating to R.


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[R] parsing Google search results

2009-11-16 Thread Philip Leifeld

Hi,

how can I parse Google search results? The following code returns 
integer(0) instead of 1 although the results of the query clearly 
contain the regex cran.



address - url(http://www.google.com/search?q=cran;)
open(address)
lines - readLines(address)
grep(cran, lines[3])


Thanks

Philip

--
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Max Planck Institute for | +49 (0) 1577 6830349 (mobile)
Research on Collective Goods | +49 (0) 228 91416-73 (phone)
MaxNetAging Doctoral Fellow  | +49 (0) 228 91416-62 (fax)
Kurt-Schumacher-Str. 10  |
53113 Bonn, Germany  | http://www.philipleifeld.de

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Re: [R] Plotting Histogram using histogram() and for loop and I want to save the histogram individually ... HELP

2009-11-16 Thread ychu066

still doesnt work ...


Karl Ove Hufthammer wrote:
 
 On Thu, 12 Nov 2009 19:10:52 -0800 (PST) ychu066 ychu066
 @aucklanduni.ac.nz wrote:
 And I also want to save each histogram in each separate pdf file using
 the
 following codes ?.
 png(hist.png[i])
 dev.off()
 
 Try png(paste(hist,i,.png,sep=) instead.
 
 -- 
 Karl Ove Hufthammer
 
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[R] Plotting graphs using FOR loop

2009-11-16 Thread ychu066

I have the following codes but can anyone make it shorter i.e making these
FOR loop into one loop ...
thanks...

par(mfrow=c(2,4)) 
for(i in 16:23){
hist(data[,i],main=paste(colnames(data)[i],sep=),ylab=Frequency,xlim=c(1,5),xlab=Score,ylim=c(0,100))
 
}   
png(histogram.png)
dev.off() 

par(mfrow=c(2,4)) 
for(i in 24:31){
hist(data[,i],main=paste(colnames(data)[i],sep=),ylab=Frequency,xlim=c(1,5),xlab=Score,ylim=c(0,100))
 
} 
png(histogram.png)
dev.off() 

par(mfrow=c(2,4)) 
for(i in 32:39){
hist(data[,i],main=paste(colnames(data)[i],sep=),ylab=Frequency,xlim=c(1,5),xlab=Score,ylim=c(0,100))
 
} 
png(histogram.png)
dev.off() 

par(mfrow=c(2,4)) 
for(i in 40:47){
hist(data[,i],main=paste(colnames(data)[i],sep=),ylab=Frequency,xlim=c(1,5),xlab=Score,ylim=c(0,100))
 
} 
png(histogram.png)
dev.off() 


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Re: [R] Plotting Histogram using histogram() and for loop and I want to save the histogram individually ... HELP

2009-11-16 Thread ychu066

here is the codes that i tried.

 png(paste(hist,i,.png,sep=) 
+ library(lattice)
Error: unexpected symbol in:
png(paste(hist,i,.png,sep=) 
library
 for(i in 8:153){ 
+ histogram(~ data[,i] | data[,2],
data=data,ylab=Frequency,xlim=c(1,5),xlab=Score,ylim=c(0,100)))
Error: unexpected ')' in:
for(i in 8:153){ 
histogram(~ data[,i] | data[,2],
data=data,ylab=Frequency,xlim=c(1,5),xlab=Score,ylim=c(0,100)))
 }
Error: unexpected '}' in }
 dev.off()
Error in dev.off() : cannot shut down device 1 (the null device)


ychu066 wrote:
 
 still doesnt work ...
 
 
 Karl Ove Hufthammer wrote:
 
 On Thu, 12 Nov 2009 19:10:52 -0800 (PST) ychu066 ychu066
 @aucklanduni.ac.nz wrote:
 And I also want to save each histogram in each separate pdf file using
 the
 following codes ?.
 png(hist.png[i])
 dev.off()
 
 Try png(paste(hist,i,.png,sep=) instead.
 
 -- 
 Karl Ove Hufthammer
 
 __
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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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[R] How to do band-pass filters, low-pass filters, high-pass filters in R?

2009-11-16 Thread sdlywjl666
Dear All,
   How to do band-pass filters,low-pass filters,high-pass filters in R? 
Thanks!

[[alternative HTML version deleted]]

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[R] How to do Hodrick-Prescott Filter in R?

2009-11-16 Thread sdlywjl666
Dear All,
How to do Hodrick-Prescott Filter in R?
Thanks!
[[alternative HTML version deleted]]

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Re: [R] [Rd] How to generate dependency file that can be used by gnu make?

2009-11-16 Thread Linlin Yan
I don't think this function is same as gcc's option -MM. Because gcc
checks pre-compile command #include, in which the filename can be
fetched definitely. But in your scenario, the filename may be from
some variables, which can not be determined by the R script only.
Maybe you can write a tool by yourself to parse the R syntax to
resolve your problem.

On Tue, Nov 17, 2009 at 11:51 AM, Peng Yu pengyu...@gmail.com wrote:
 On Sun, Nov 15, 2009 at 8:45 PM, Peng Yu pengyu...@gmail.com wrote:
 gcc has options like -MM, which can generate the dependence files for
 a C/C++ file that I can be used by gnu make. I'm wondering if there is
 a tool that can generate dependence file for an R script.

 For example, I have an R script test.R

 #test.R
 load('input.RData')
 save.image('output.RData')


 I want to generate a dependence file like the following. Is there a
 tool to do so?

 output.RData:test.R input.RData

 Is there a way to automatically generate the output files that depends
 on an R script and the input files and sourced files that are depended
 by an R script? I don't see this option in R. But I wish this can be
 implemented in future version of R.

 __
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 https://stat.ethz.ch/mailman/listinfo/r-devel


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Re: [R] Weighted descriptives by levels of another variables

2009-11-16 Thread Karl Ove Hufthammer
On Mon, 16 Nov 2009 10:43:38 -0500 Andrew Miles rstuff.mi...@gmail.com 
wrote:
 Thanks!  Using the plyr package and the approach you outlined seems to  
 work well for relatively simple functions (like wtd.mean), but so far  
 I haven't had much success in using it with more complex descriptive  
 functions like describe {Hmisc}.

'describe' outputs a list, not just a vector. To get the actual values 
as vectors, you have to extract them, e.g.:

describe(x)$counts
describe(x)$values

-- 
Karl Ove Hufthammer

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Re: [R] Plotting Histogram using histogram() and for loop and I want to save the histogram individually ... HELP

2009-11-16 Thread Karl Ove Hufthammer
On Mon, 16 Nov 2009 19:54:08 -0800 (PST) ychu066 ychu066
@aucklanduni.ac.nz wrote:
 here is the codes that i tried.
 
  png(paste(hist,i,.png,sep=) 
 + library(lattice)
 Error: unexpected symbol in:
 png(paste(hist,i,.png,sep=) 
 library

There is a missing ')' at the end of the first line.
If you use an editor with syntax highlighting, it is
easy to spot these types of errors.

-- 
Karl Ove Hufthammer

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