Re: [R] Sorting order of reorder with multiple variables

2011-08-27 Thread Deepayan Sarkar
On Thu, Aug 25, 2011 at 6:15 PM, markm0705 markm0...@gmail.com wrote:
 I've been building a ranked dot plot for several days now and am sorting the
 data using the reorder command.  What I don't understand is how reorder
 works when mutiple varibles are plotted by grouping.  In the example below
 I'm using re-order to sort by a variable name Resv_Prop, but I'm plotting up
 to three different values of Resv_prop (different Year values) for each
 factor.

 The results are not what i expected and I would like to control the sorting
 by the 2010 Year values.

reorder() does have a FUN argument that let's you define a summary
measure that is used for sorting when multiple observations are
present per group. Unfortunately, this will not help you here.

However, once you realize that all you really need are the levels() of
your y-variable in the right order, you can finesse the problem as
follows:

Cal_dat_2010 - subset(Cal_dat, Year == 2010)

tmp - with(Cal_dat_2010, reorder(paste(Mine,Company), Resv_Prop))

with(Cal_dat,
 dotplot(factor(paste(Mine,Company), levels = levels(tmp)) ~ Resv_Prop,
 groups = factor(Year), auto.key = TRUE))

-Deepayan

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Re: [R] How to vectorize a function to handle two vectors

2011-08-27 Thread Jeff Newmiller
Isn't a vector of vectors usually considered a matrix? So if you want to 
vectorize a vector function you would normally rewrite it to operate on 
matrices.
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Newbie lille_kn...@hotmail.com wrote:

Thank you for the quick response! I think you are on the right track - but is
there any way of calling (is that the word for it) the function price_call
in the mapply, so that this price_call function is changed to handle
vectors. I believe that this should, in theory if it is correct, make the
result be values. 

I have part of a code that works for only one vector. So maybe some where in
the line of: 
callOptionkVec - function(phi, kVec, t)
{
sapply(kVec,function(k) {callOption(phi,k,t)})
}
is what I need to do. Do you have any ideas on how to do this?

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[R] hopelessly overdispersed?

2011-08-27 Thread Kilo Bismarck

dear list!
i am running an anlysis on proportion data using binomial (quasibinomial 
family) error structure. My data comprises of two continuous vars, body 
size and range size, as well as of feeding guild, nest placement, nest 
type and foragig strata as factors. I hope to model with these variables 
the preference of primary forests (#successes) by certain bird species. 
My code therefore looks like:


y-cbind(n_forest,n_trials-n_forest)
model-glm(y~range+body+nstrata+ntype+forage+feed,family=quasibinomial(link=logit),data=dat)

however plausible the approach may look, overdispersion is prevalent 
(dispersion estimated at 6.5). I read up on this and learned that in 
case of multiple factors, not all levels may yield good results with 
logistic regression (Crawley The R Book). I subsequently try to 
analyse each feeding guild seperately, but to no avail.overdispersion 
remains. Given the number of categorical variables in my study, is there 
a convenient way to handle the overdispersion? I was trying tree models 
to see the most influential variables but again, to no avail.


BTW: It may well be that the data is just bad...

thanks a lot!

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Re: [R] Grouping variables in a data frame

2011-08-27 Thread Liviu Andronic
On Sat, Aug 27, 2011 at 7:26 AM, Andra Isan andra_i...@yahoo.com wrote:
 Hi All,

 I have a data frame as follow:

 user_id time age location gender
 .

 and I learn a logistic regression to learn the weights (glm with family= 
 (link = logit))), my response value is either zero or one. I would like to 
 group the users based on user_id and time and see the y values and predicted 
 y values at the same time. Or plot them some how. Is there any way to somehow 
 group them together so that I can learn more about my data by grouping them?

It's very difficult to help you because you haven't followed the
posting guide. But I suspect you're looking for the following:

 require(plyr)
Loading required package: plyr
 data(mtcars)
 ##considering 'gear' as 'id' and 'carb' as time
 ddply(mtcars, .(gear, carb), function(x) mean(x$hp))
   gear carbV1
1 31 104.0
2 32 162.5
3 33 180.0
4 34 228.0
5 41  72.5
6 42  79.5
7 44 116.5
8 52 102.0
9 54 264.0
1056 175.0
1158 335.0

This will compute the mean of 'hp' for each group of id  time.
Liviu


 I would like to get these at the end
 user_id time y predicted_y

 Thanks a lot,
 Andra

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[R] Degrees of freedom in the Ljung-Box test

2011-08-27 Thread Marcin P?�ciennik
Dear list members,

I have 982 quotations of a given stock index and I want to run a Ljung-Box
test on these data to test for autocorrelation. Later on I will estimate 8
coefficients.
I do not know how many degrees of freedom should I assume in the formula for
Ljung-Box test. Could anyone tell me please?
Below the formula:

Box.test(x, lag = , type = c(Ljung-Box), fitdf = 0)


Thank you very much in advance.
Best regards
Marcin

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[R] Asking Favor For Remove element with Particular Value In Vector

2011-08-27 Thread chuan_zl
Dear All.

I am Chuan. I am beginner for R.I facing some problem in remove element from
vector.I have a vector with size 238 element as follow(a part)

[1] 0 18 24 33 44..[238] 255

Let the vector label as x,I want remove element 0 and 255.I try use
such function:

x[x0  x255]

However, I am fail since same results are give even try it for many times.I
also try with shorter vector with 10 element. It is successfully resulted.
So,want can I do for it. Kindly asking favor for expert here. Thank you very
much.

Chuan

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[R] gplot data manipulation question

2011-08-27 Thread vamshi999
i have this data with me...i am only copying part of data here... 
date  time
2011-05-2304:31:17
2011-05-2304:31:20
2011-05-2304:31:22
2011-05-2304:31:25
2011-05-2304:31:27
2011-05-2304:31:18
2011-05-2304:31:20
2011-05-2304:31:22
2011-05-2304:31:25
2011-05-2304:31:27
2011-05-2304:31:26
2011-05-2304:31:28
2011-05-2808:16:14
2011-05-2808:16:58
2011-05-2808:16:22
2011-05-2808:16:24
2011-05-2808:16:27
2011-05-2808:16:29
2011-05-2808:16:32
2011-05-2808:16:19
2011-05-2808:16:21
2011-05-2808:16:24
2011-05-2808:16:26

and other data hours.1 -[1] 4.5   3.4

hours.1 data is the total no.of hours of data on those particular dates. i
have the data on 2011-05-23 for 4.5 hours and data on 2011-05-28 for 3.4
hours. 

for representing the count data using gglots i am using the following
command 

 ggplot(dat,aes(factor(date))+ geom_bar(position=dodge). 

now i am looking for representing the normalized data. i want to represent
the table(data)/hours.1 output with ggplot. i can use the barplot function,
but the graphics are good in and labeling x-axis is easy in ggplots. 

i would appreciate if someone can reply asap.. 
thank you .. 

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[R] separate mfrow region with line

2011-08-27 Thread dood
Dear R users,

I have six plots in one figure, created with par(mfrow=c(2,3)). I would like
to add two lines to the figure outside the plotting regions, separating the
figure into 3 columns. Is this possible?

Thanks

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[R] rmongodb released

2011-08-27 Thread Gerald Lindsly
The source code to a new package, rmongodb (http://cnub.org/rmongodb.ashx),
has just been released.  This is a full-featured driver to MongoDB (
http://www.mongodb.org) for the R language.  Just out of development, I
would like some feedback from some real world usage before submitting the
package to CRAN. Please contact me at ger...@cnub.org or
gerald.lind...@gmail.com to let me know your experiences.

Thank you,
Gerald Lindsly

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[R] comparing GLM coefficients repeatability

2011-08-27 Thread RCulloch
Many thanks for taking the time to read this! 

I am looking at the repeatability of behaviour between re-sighted
individuals across discrete time periods (annual breeding seasons). My
approach was to run a GLM (with a logit link - the data are proportional,
presence v. absence of behaviour) for each breeding season. I included the
re-sighted individuals as a factor (categorical variable) (i.e. the models
only contained individuals that were seen in all of the breeding seasons).
Inevitably the variables that are retained in the best models are not the
same for each breeding season and in one (out of 3 cases) individual is not
retained within the best model (although I suspect that is a product of a
considerably smaller sample size for that breeding season). I use the best
model that has retained individual id and extract the coefficients of the
individuals. I then use the ICC command in the package psych to test for
repeatability in these values over the three breeding seasons. The results
are in fact repeatable, which does support the basic analyses using just the
behaviour (without trying to account for potential covariates), which is
encouraging. However, I have had a look on nabble and other forms to see if
this is at all statistically sound or if I am making a fundamental error in
how I am treating the coefficients. I have found a couple of posts, but I
don't think that they relate directly to my question. 

I appreciate that some may suggest using mixed-effects modelling with
individual as a random effect. My issue is that the behaviours I am
interested in are very rare and are best suited for a beta-binomial
distribution (tested using Ben Bolker's script/e.g. in his book). And such a
distribution is not available in lme4. Therefore, I'm trying to find another
approach to assess whether individual is important in predicting a
behaviour, and whether individuals are repeatable/consistent in this
respect. 

Any advice would be most appreciated, 

Best wishes, 

Ross



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Re: [R] Asking Favor For Remove element with Particular Value In Vector

2011-08-27 Thread Rainer Schuermann
Not sure whether I understand your question right but here is what I would do:

# Sample data
x - seq(  1, 100, by=6)
x
 [1]  1  7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97

# remove element with value 19
x - x[ x != 19 ]
x
 [1]  1  7 13 25 31 37 43 49 55 61 67 73 79 85 91 97

If you want to remove values smaller / larger than a certain threshold, your 
way should work well:

# Sample data
x - seq(  1, 100, by=6)
x[9] - 155
x
 [1]   1   7  13  19  25  31  37  43 155  55  61  67  73  79  85  91  97

# Remove elements smaller than 20 or larger than 80:
 x - x[ x  20  x  80 ]
x
 [1] 25 31 37 43 55 61 67 73 79

So there is probably an issue with your data vector - why don't you dput() it?

Rgds,
Rainer


On Saturday 27 August 2011 02:31:29 chuan_zl wrote:
 Dear All.
 
 I am Chuan. I am beginner for R.I facing some problem in remove element from
 vector.I have a vector with size 238 element as follow(a part)
 
 [1] 0 18 24 33 44..[238] 255
 
 Let the vector label as x,I want remove element 0 and 255.I try use
 such function:
 
 x[x0  x255]
 
 However, I am fail since same results are give even try it for many times.I
 also try with shorter vector with 10 element. It is successfully resulted.
 So,want can I do for it. Kindly asking favor for expert here. Thank you very
 much.
 
 Chuan
 
 --
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Re: [R] Make a function work on an environemnt

2011-08-27 Thread Tyler Rinker

A previous attempt at this question resulted in the message running together, 
making the message difficult to read and the code lines hard to distinquinsh. 
In my R learning I've come across a situation in which a piece of code that 
works on the work space outside a function does not work inside the function. 
WARNING THIS EMAIL CONTAINES THE CODE:#rm(list=ls()) THIS WILL CLEAR ALL 
OBJECTS FROM YOUR WORKSPACE! When I use rm(list=ls()) and then ls() it shows 
character(0) So I tried to make a quick function to speed this up as follows: 
 
#
#ATTEMPT 1
#
clear - function()rm(list=ls())clear()
ls()  #all objects are still attached
#
#ATTEMPT 2
#
clear - function(){
{CLEAR - function()rm(list=ls())}
eapply(globalenv(),CLEAR)
}clear()ls()
#
#ERROR MESSAGE FRPM ATTEMPT 2
#
 clear()
Error in FUN(list(function (x)  : unused argument(s) (list(function (x) 
 
QUESTIONS:Why does this code not work inside the function?  Please critique 
both my attempts.
What would I need to do to make the pieces of code work inside the function? 
Windows 7
R version 2.14 beta 
 
Thanks in advance,
Tyler Rinker

  
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Re: [R] Degrees of freedom in the Ljung-Box test

2011-08-27 Thread Prof Brian Ripley
Please fix your email settings: your 'From:' field is not in the 
correct encoding, so I had to manually copy the ASCII part. (The 
header as received here said it was UTF-8, but it is not valid UTF-8. 
Most likely no encoding was declared your end.)


On Sat, 27 Aug 2011, Marcin Pciennik wrote:


Dear list members,

I have 982 quotations of a given stock index and I want to run a Ljung-Box
test on these data to test for autocorrelation. Later on I will estimate 8
coefficients.
I do not know how many degrees of freedom should I assume in the formula for
Ljung-Box test. Could anyone tell me please?


Nor does anyone else without knowing what 'x' is.  But from the help 
page:


   fitdf: number of degrees of freedom to be subtracted if ‘x’ is a
  series of residuals.

Details:

 These tests are sometimes applied to the residuals from an
 ‘ARMA(p, q)’ fit, in which case the references suggest a better
 approximation to the null-hypothesis distribution is obtained by
 setting ‘fitdf = p+q’, provided of course that ‘lag  fitdf’.

So is 'x' a set of residuals from an ARMA fit?  If so, the help page 
told you how, and if it is a not a fit note the word 'if' in the 
description of 'fitdf'.



Below the formula:

Box.test(x, lag = , type = c(Ljung-Box), fitdf = 0)


Thank you very much in advance.
Best regards
Marcin

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guide. Very likely that exacerbated the encoding confusion.



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


--
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Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
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Re: [R] separate mfrow region with line

2011-08-27 Thread David Winsemius


On Aug 27, 2011, at 5:01 AM, dood wrote:


Dear R users,

I have six plots in one figure, created with par(mfrow=c(2,3)). I  
would like
to add two lines to the figure outside the plotting regions,  
separating the

figure into 3 columns. Is this possible?


The xpd parameter used with the segments function should provide that.  
The tricky bit will be establishing the proper endpoints, but without  
an example that cannot be illustrated.


--

David Winsemius, MD
West Hartford, CT

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Re: [R] Asking Favor For Remove element with Particular Value In Vector

2011-08-27 Thread David Winsemius


On Aug 27, 2011, at 5:31 AM, chuan_zl wrote:


Dear All.

I am Chuan. I am beginner for R.I facing some problem in remove  
element from

vector.I have a vector with size 238 element as follow(a part)

[1] 0 18 24 33 44..[238] 255

Let the vector label as x,I want remove element 0 and 255.I  
try use

such function:

x[x0  x255]


I am not completely clear but it appears that you want to remove the  
first and last elements. You can use negative indexing vectors.


x[ -c(1, length(x) ) ]




However, I am fail


Perhaps your vector is a factor? Try this and see what you get:

str(x)



since same results are give even try it for many times.I
also try with shorter vector with 10 element. It is successfully  
resulted.
So,want can I do for it. Kindly asking favor for expert here. Thank  
you very

much.

Chuan

--



David Winsemius, MD
West Hartford, CT

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Re: [R] hopelessly overdispersed?

2011-08-27 Thread Ben Bolker
Kilo Bismarck tweedie-d at web.de writes:

 i am running an anlysis on proportion data using binomial (quasibinomial 
 family) error structure. My data comprises of two continuous vars, body 
 size and range size, as well as of feeding guild, nest placement, nest 
 type and foragig strata as factors. I hope to model with these variables 
 the preference of primary forests (#successes) by certain bird species. 
 My code therefore looks like:
 
 y-cbind(n_forest,n_trials-n_forest)
 model-glm(y~range+body+nstrata+ntype+forage+feed,
 family=quasibinomial(link=logit),data=dat)
 
 however plausible the approach may look, overdispersion is prevalent 
 (dispersion estimated at 6.5). I read up on this and learned that in 
 case of multiple factors, not all levels may yield good results with 
 logistic regression (Crawley The R Book). I subsequently try to 
 analyse each feeding guild seperately, but to no avail.overdispersion 
 remains. Given the number of categorical variables in my study, is there 
 a convenient way to handle the overdispersion? I was trying tree models 
 to see the most influential variables but again, to no avail.
 
 BTW: It may well be that the data is just bad...

  Sometimes overdispersion comes from a poorly fitting model,
sometimes it is just there (i.e. intrinsic or caused by a
non-measured predictor which you can't do anything about).
Examine your data and the fits of the model to your data for
outliers or obvious deviations from the model. If the fit generally
looks OK but there is just consistently more variation than expected
from the binomial distribution then you can probably proceed
with your inferences from the quasibinomial model.  (Do make
sure that you are not overfitting, i.e. if you are going to 
fit a model with 12 or so parameters [I'm guessing here: it depends
on the numbers of levels in your categorical predictors], you
really need at least 120 (preferably more) observations ...]

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[R] Error: package 'lsei' is not installed for 'arch=i386'

2011-08-27 Thread MK
Hi guys,

I am having problem loading a package that I have installed. I have searched
some old thread but they were no help in terms of solving the problem.

I uninstalled every possible component of R and installed R 2.13 and
followed the R-faqs installation steps. Then I installed the package (lsei)
from local zip file which was installed successfully but can not be loaded
and returns the error message as titled. The zip file can be downloaded
below, it used to work fine on my old version of R (I think it was 2.9).

http://www.stat.auckland.ac.nz/~yongwang/

I've check .libPaths() as some suggested and remove the copy in the first
directory but that was the only copy that I have on the machine.

Can someone give me a direction on how I can solve this problem?

Thanks in advance.
MK

R version 2.13.1 (2011-07-08)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i386-pc-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

  Natural language support but running in an English locale

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

 library(lsei)
Error in library(lsei) : there is no package called 'lsei'
 utils:::menuInstallLocal()
package 'lsei' successfully unpacked and MD5 sums checked
 library(lsei)
Error: package 'lsei' is not installed for 'arch=i386'
 .libPaths()
[1] C:/Users/user/R/win-library/2.13C:/Program
Files/R/R-2.13.1/library

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Re: [R] Make a function work on an environemnt

2011-08-27 Thread R. Michael Weylandt
Well, here's one way you could do it:

# Don't run this unless you really mean it
clear - function(){rm(list=ls(.GlobalEnv), envir = .GlobalEnv)}

Both calls to .GlobalEnv seem necessary so that both rm() and ls() go
everywhere with it. However, this certainly isn't the most useful code
because it clears itself...

I'm not the best with environments so I'll let someone else work out the
problems with your other attempts, but I believe the problem with the first
is that it only executes inside the function environment and not the global
environment. Not sure about the second...

Michael Weylandt


On Sat, Aug 27, 2011 at 9:25 AM, Tyler Rinker tyler_rin...@hotmail.comwrote:


 A previous attempt at this question resulted in the message running
 together, making the message difficult to read and the code lines hard to
 distinquinsh. In my R learning I've come across a situation in which a piece
 of code that works on the work space outside a function does not work inside
 the function. WARNING THIS EMAIL CONTAINES THE CODE:#rm(list=ls()) THIS
 WILL CLEAR ALL OBJECTS FROM YOUR WORKSPACE! When I use rm(list=ls()) and
 then ls() it shows character(0) So I tried to make a quick function to speed
 this up as follows:

 #
 #ATTEMPT 1
 #
 clear - function()rm(list=ls())clear()
 ls()  #all objects are still attached
 #
 #ATTEMPT 2
 #
 clear - function(){
 {CLEAR - function()rm(list=ls())}
 eapply(globalenv(),CLEAR)
 }clear()ls()
 #
 #ERROR MESSAGE FRPM ATTEMPT 2
 #
  clear()
 Error in FUN(list(function (x)  : unused argument(s) (list(function (x)

 QUESTIONS:Why does this code not work inside the function?  Please critique
 both my attempts.
 What would I need to do to make the pieces of code work inside the
 function?
 Windows 7
 R version 2.14 beta

 Thanks in advance,
 Tyler Rinker


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Re: [R] Make a function work on an environemnt

2011-08-27 Thread Tyler Rinker


 Michael, Thank you for that information.  It was very insightful.   Anyone 
else with why my second attempt does not work (using eapply)? ThanksTylerFrom: 
michael.weyla...@gmail.com
Date: Sat, 27 Aug 2011 12:01:02 -0400
Subject: Re: [R] Make a function work on an environemnt
To: tyler_rin...@hotmail.com
CC: r-help@r-project.org

Well, here's one way you could do it: 

# Don't run this unless you really mean it
clear - function(){rm(list=ls(.GlobalEnv), envir = .GlobalEnv)}

Both calls to .GlobalEnv seem necessary so that both rm() and ls() go 
everywhere with it. However, this certainly isn't the most useful code because 
it clears itself...



I'm not the best with environments so I'll let someone else work out the 
problems with your other attempts, but I believe the problem with the first is 
that it only executes inside the function environment and not the global 
environment. Not sure about the second...



Michael Weylandt


On Sat, Aug 27, 2011 at 9:25 AM, Tyler Rinker tyler_rin...@hotmail.com wrote:




A previous attempt at this question resulted in the message running together, 
making the message difficult to read and the code lines hard to distinquinsh. 
In my R learning I've come across a situation in which a piece of code that 
works on the work space outside a function does not work inside the function. 
WARNING THIS EMAIL CONTAINES THE CODE:#rm(list=ls()) THIS WILL CLEAR ALL 
OBJECTS FROM YOUR WORKSPACE! When I use rm(list=ls()) and then ls() it shows 
character(0) So I tried to make a quick function to speed this up as follows:





#

#ATTEMPT 1

#

clear - function()rm(list=ls())clear()

ls()  #all objects are still attached

#

#ATTEMPT 2

#

clear - function(){

{CLEAR - function()rm(list=ls())}

eapply(globalenv(),CLEAR)

}clear()ls()

#

#ERROR MESSAGE FRPM ATTEMPT 2

#

 clear()

Error in FUN(list(function (x)  : unused argument(s) (list(function (x)



QUESTIONS:Why does this code not work inside the function?  Please critique 
both my attempts.

What would I need to do to make the pieces of code work inside the function?

Windows 7

R version 2.14 beta



Thanks in advance,

Tyler Rinker





[[alternative HTML version deleted]]



__

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


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


Re: [R] Make a function work on an environemnt

2011-08-27 Thread Tyler Rinker

Michael, Michael wrote: However, this certainly isn't the most useful code 
because it clears itself... If you were to put this code in a package, .Rdata 
file, or .First() script it could be recalled in that way.  So it could serve a 
purpose.  The exercise was more about me learning how to apply the function to 
global environment though.  You were certainly helpful there.  


 From: michael.weyla...@gmail.com
Date: Sat, 27 Aug 2011 12:01:02 -0400
Subject: Re: [R] Make a function work on an environemnt
To: tyler_rin...@hotmail.com
CC: r-help@r-project.org

Well, here's one way you could do it: 

# Don't run this unless you really mean it
clear - function(){rm(list=ls(.GlobalEnv), envir = .GlobalEnv)}

Both calls to .GlobalEnv seem necessary so that both rm() and ls() go 
everywhere with it. However, this certainly isn't the most useful code because 
it clears itself...



I'm not the best with environments so I'll let someone else work out the 
problems with your other attempts, but I believe the problem with the first is 
that it only executes inside the function environment and not the global 
environment. Not sure about the second...



Michael Weylandt


On Sat, Aug 27, 2011 at 9:25 AM, Tyler Rinker tyler_rin...@hotmail.com wrote:




A previous attempt at this question resulted in the message running together, 
making the message difficult to read and the code lines hard to distinquinsh. 
In my R learning I've come across a situation in which a piece of code that 
works on the work space outside a function does not work inside the function. 
WARNING THIS EMAIL CONTAINES THE CODE:#rm(list=ls()) THIS WILL CLEAR ALL 
OBJECTS FROM YOUR WORKSPACE! When I use rm(list=ls()) and then ls() it shows 
character(0) So I tried to make a quick function to speed this up as follows:





#

#ATTEMPT 1

#

clear - function()rm(list=ls())clear()

ls()  #all objects are still attached

#

#ATTEMPT 2

#

clear - function(){

{CLEAR - function()rm(list=ls())}

eapply(globalenv(),CLEAR)

}clear()ls()

#

#ERROR MESSAGE FRPM ATTEMPT 2

#

 clear()

Error in FUN(list(function (x)  : unused argument(s) (list(function (x)



QUESTIONS:Why does this code not work inside the function?  Please critique 
both my attempts.

What would I need to do to make the pieces of code work inside the function?

Windows 7

R version 2.14 beta



Thanks in advance,

Tyler Rinker





[[alternative HTML version deleted]]



__

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


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


Re: [R] Sicherheitszertifikat für R-Pakete unter Windows [Security Certificates for R Packages in Windows]

2011-08-27 Thread Uwe Ligges



On 26.08.2011 19:36, R. Michael Weylandt wrote:

To save anyone else 30 seconds, here's how google translates the below:

Ladies and Gentlemen,

I would like to inform me whether there is the possibility of security
certificates for R packages are.



Impressingly accurate given the original text is grammatically as wrong 
as the outcome of the translation.


The answer is: Not that I know - unless you pay money to someone who you 
trust and will write some certificate.


Uwe Ligges





Sincerely,

Christopher W. Weinberger

2011/8/26 Christoph W. Weinbergercwein...@edu.uni-klu.ac.at


Sehr geehrte Damen und Herren,

ich würde mich gerne informieren, ob es die Möglichkeit gibt
Sicherheitszertifikate für R-Pakete gibt.

Mit freundlichen Grüßen

Christoph W. Weinberger

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[R] all combinations of the elements of two vectors

2011-08-27 Thread Campbell, Desmond
Dear R-help readers,

I'm sure this problem has been answered but I can't find the solution.

I have two vectors
v1 - c(a,b)
v2 - c(1,2,3)
I want an easy way to produce every possible combination of v1, v2 elements
Ie I want to produce
c(a1,a2,a3, b1,b2,b3)

regards
Desmond

Desmond Campbell
Dept of Biostatistics and Computing, Institute of Psychiatry (KCL),
PO Box 20, De Crespigny Park, Denmark Hill London, SE5 8AF

Tel 020 7848 0309
Email d.campb...@iop.kcl.ac.ukmailto:d.campb...@iop.kcl.ac.uk



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


Re: [R] eRm/raschsampler error message

2011-08-27 Thread reinhold
Hi,

this error message is due to a bug in RaschSampler. I corrected it and sent
it to CRAN. RaschSampler version 0.8-5 should be available from there soon.
Thanks for the hint and please apologize for any inconveniences.

Reinhold

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[R] to represent color range on plot segment

2011-08-27 Thread karthicklakshman
Dear R community,

With an advantage of being NEW to R, I would like to post a very basic
query here,

I am in need of representing gene expression data which ranges from -0.09 to
+4, on plot segment. please find below the data df, the expression values
are in df[,2]. kindly help me with the code, so that I can represent the
values with a clear color gradient (something like -0.09 to 0 as red
gradient and 0 to +4 as green gradient)

location value
15  chr+:14001-15001  0.99749499
16  chr+:15001-16001  0.99957360
17  chr+:16001-17001  0.99166481
18  chr+:17001-18001  0.97384763
19  chr+:18001-19001  0.94630009
20  chr+:19001-20001  0.90929743
21  chr+:20001-21001  0.86320937
22  chr+:21001-22001  0.80849640
23  chr+:22001-23001  0.74570521
24  chr+:23001-24001  0.67546318
25  chr+:24001-25001  0.59847214
26  chr+:25001-26001  0.51550137
27  chr+:26001-27001  0.42737988
28  chr+:27001-28001  0.33498815
29  chr+:28001-29001  0.23924933
30  chr+:29001-30001  0.14112001
31  chr+:30001-31001  0.04158066
32  chr+:31001-32001 -0.05837414
33  chr+:32001-33001 -0.15774569
34  chr+:33001-34001 -0.25554110
35  chr+:34001-35001 -0.35078323
36  chr+:35001-36001 -0.44252044
37  chr+:36001-37001 -0.52983614
38  chr+:37001-38001 -0.61185789
39  chr+:38001-39001 -0.68776616
40  chr+:39001-40001 -0.75680250
41  chr+:40001-41001 -0.81827711
42  chr+:41001-42001 -0.87157577
43  chr+:42001-43001 -0.91616594
44  chr+:43001-44001 -0.95160207

Thanks in advance,
regards,
karthick



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Re: [R] all combinations of the elements of two vectors

2011-08-27 Thread Jorge I Velez
Hi Desmond,

You might try

 sort(apply(expand.grid(v1, v2), 1, paste, collapse = , sep = ))
[1] a1 a2 a3 b1 b2 b3

HTH,
Jorge


On Sat, Aug 27, 2011 at 12:54 PM, Campbell, Desmond  wrote:

 Dear R-help readers,

 I'm sure this problem has been answered but I can't find the solution.

 I have two vectors
 v1 - c(a,b)
 v2 - c(1,2,3)
 I want an easy way to produce every possible combination of v1, v2 elements
 Ie I want to produce
 c(a1,a2,a3, b1,b2,b3)

 regards
 Desmond

 Desmond Campbell
 Dept of Biostatistics and Computing, Institute of Psychiatry (KCL),
 PO Box 20, De Crespigny Park, Denmark Hill London, SE5 8AF

 Tel 020 7848 0309
 Email d.campb...@iop.kcl.ac.ukmailto:d.campb...@iop.kcl.ac.uk



[[alternative HTML version deleted]]

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 R-help@r-project.org mailing list
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 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.


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


Re: [R] all combinations of the elements of two vectors

2011-08-27 Thread Daniel Malter
x-letters[1:3]
y-1:3

d-expand.grid(x,y)

g-apply(d,1,function(x) paste(x[1],x[2],sep=))

HTH,
Daniel


Campbell, Desmond-2 wrote:
 
 Dear R-help readers,
 
 I'm sure this problem has been answered but I can't find the solution.
 
 I have two vectors
 v1 - c(a,b)
 v2 - c(1,2,3)
 I want an easy way to produce every possible combination of v1, v2
 elements
 Ie I want to produce
 c(a1,a2,a3, b1,b2,b3)
 
 regards
 Desmond
 
 Desmond Campbell
 Dept of Biostatistics and Computing, Institute of Psychiatry (KCL),
 PO Box 20, De Crespigny Park, Denmark Hill London, SE5 8AF
 
 Tel 020 7848 0309
 Email d.campb...@iop.kcl.ac.uklt;mailto:d.campb...@iop.kcl.ac.ukgt;
 
 
 
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 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.
 

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Re: [R] Overdispersed GLM

2011-08-27 Thread Jim Silverton
Hi all,

I have the following  data:

rep1_treat   rep2_treat rep1_control  rep2_control
2  3  4  5
100 20 98  54
0  1 2 3
23   3227   28


Two replicates for the treatment and control groups. I want to simulate from
the null where the null is:
Ho:there is no difference between control and treatment groups.

Can R do a glm to do this?
Another point is my data is overdispersed, so I would like to fit a negative
binomial glm for each variable. Each row is a variable.

-- 
Thanks,
Jim.

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Re: [R] all combinations of the elements of two vectors

2011-08-27 Thread Campbell, Desmond
Dear Jorge

Yes expand.grid() is exactly what I wanted.
This problem keeps cropping up, and I've never known a simple way to implement 
it.

Thanks very much.

Regards
Desmond


From: Jorge I Velez [mailto:jorgeivanve...@gmail.com] 
Sent: 27 August 2011 19:19
To: Campbell, Desmond
Cc: r-help@R-project.org
Subject: Re: [R] all combinations of the elements of two vectors

Hi Desmond,


You might try

 sort(apply(expand.grid(v1, v2), 1, paste, collapse = , sep = ))
[1] a1 a2 a3 b1 b2 b3

HTH,
Jorge


On Sat, Aug 27, 2011 at 12:54 PM, Campbell, Desmond  wrote:
Dear R-help readers,

I'm sure this problem has been answered but I can't find the solution.

I have two vectors
v1 - c(a,b)
v2 - c(1,2,3)
I want an easy way to produce every possible combination of v1, v2 elements
Ie I want to produce
c(a1,a2,a3, b1,b2,b3)

regards
Desmond

Desmond Campbell
Dept of Biostatistics and Computing, Institute of Psychiatry (KCL),
PO Box 20, De Crespigny Park, Denmark Hill London, SE5 8AF

Tel 020 7848 0309
Email d.campb...@iop.kcl.ac.ukmailto:d.campb...@iop.kcl.ac.uk



       [[alternative HTML version deleted]]

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

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[R] Ordered probit model -marginal effects and relative importance of each predictor-

2011-08-27 Thread franco salerno
Hi, I have a problem with the ordered probit model -polr function
(library MASS). My independent variables are countinuos.
I am not able to understand two main points:

a) how to calculate marginal effects
b) how to calculate the relative importance of each independent variables

If required i will attach my model output.

Thanks

Franco

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Re: [R] to represent color range on plot segment

2011-08-27 Thread Dennis Murphy
On Sat, Aug 27, 2011 at 11:07 AM, karthicklakshman
karthick.laksh...@gmail.com wrote:
 Dear R community,

 With an advantage of being NEW to R, I would like to post a very basic
 query here,

Really? I found two posts with your name on it dating from October and
November of 2010.
http://r-project.markmail.org/search/?q=karthicklakshman


 I am in need of representing gene expression data which ranges from -0.09 to
 +4, on plot segment. please find below the data df, the expression values
 are in df[,2]. kindly help me with the code, so that I can represent the
 values with a clear color gradient (something like -0.09 to 0 as red
 gradient and 0 to +4 as green gradient)

Please read the posting guide, linked at the bottom of this mail,
especially the part about 'reproducible example'. You provided the
data, but no code to show that you made a serious effort to solve this
problem on your own. Moreover, since this is related to gene
expression data, the Bioconductor list may be more appropriate for
future questions re gene expression:
http://www.bioconductor.org/help/mailing-list/

although this one is within the purview of R-help IMO. Use the sign of
value (?sign) as an indicator variable to which you can map colors.
I'd also think about creating a value for location (midpoint, maybe?)
to simplify the plot call. It shouldn't be too difficult to do this in
any of base graphics, lattice or ggplot2.

Dennis

            location         value
 15  chr+:14001-15001  0.99749499
 16  chr+:15001-16001  0.99957360
 17  chr+:16001-17001  0.99166481
 18  chr+:17001-18001  0.97384763
 19  chr+:18001-19001  0.94630009
 20  chr+:19001-20001  0.90929743
 21  chr+:20001-21001  0.86320937
 22  chr+:21001-22001  0.80849640
 23  chr+:22001-23001  0.74570521
 24  chr+:23001-24001  0.67546318
 25  chr+:24001-25001  0.59847214
 26  chr+:25001-26001  0.51550137
 27  chr+:26001-27001  0.42737988
 28  chr+:27001-28001  0.33498815
 29  chr+:28001-29001  0.23924933
 30  chr+:29001-30001  0.14112001
 31  chr+:30001-31001  0.04158066
 32  chr+:31001-32001 -0.05837414
 33  chr+:32001-33001 -0.15774569
 34  chr+:33001-34001 -0.25554110
 35  chr+:34001-35001 -0.35078323
 36  chr+:35001-36001 -0.44252044
 37  chr+:36001-37001 -0.52983614
 38  chr+:37001-38001 -0.61185789
 39  chr+:38001-39001 -0.68776616
 40  chr+:39001-40001 -0.75680250
 41  chr+:40001-41001 -0.81827711
 42  chr+:41001-42001 -0.87157577
 43  chr+:42001-43001 -0.91616594
 44  chr+:43001-44001 -0.95160207

 Thanks in advance,
 regards,
 karthick



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[R] Am having trouble calling a function

2011-08-27 Thread James Rome
In my main R program, I have

source(retaanalysis/Functions/doAirport.R)
 stuff to read data and calculate ads
sapply(ads,function(x) {doAirport(x, base)} )

And doAirport has

# analyze the flights for a given airport
doAirport = function(df, base) {
# Get rid of unused runway factor levels (from other airports)
df$lrw - drop.levels(df$lrw) # In gdata package
# Drop messages from after the landing time
df = df[df$PredTime = 0.0,]
airport = as.character(df[1,Dest])
#print it out
airport
date = strptime(df[1,on], format=%Y-%m-%d)
rwys = factor(unique(df$lrw), ordered=TRUE)# Get the names of
the runways
rwys = as.vector(rwys)
nrwys = length(rwys)
# Make a data frame with the correct index for the runway
rdf = data.frame(lrw=rwys, rwyidx=seq(1:nrwys))
df = merge(df, rdf, all.x=TRUE)

#colours - c(RF = brown, AF =383, PH=red,PF = black,
#BA = green, FI = blue, FF = 56, PS = magenta, TC=94)
colours - c(0=red,1=black,
2=green, 3=blue,4=magenta,5=orange)
shapes - c(RF = R, AF = f, PH=H, PF = P,
BA = B, FI = I, FF = F, PS = S, TC=T)
   
#Plot individual flight data
dfm = df
dfm = dfm[!df$MsgType==AS,]   # Eliminate AS messages
dfm$MsgType=drop.levels(dfm$MsgType)
dfm = dfm[as.numeric(dfm$PredTime)  60.0,]
dfm$tc= as.factor(floor(dfm$PredTime/10.0))  # get 10-minute bin
dfm$flightfact = drop.levels(dfm$flightfact)
row.names(dfm) = seq(1:dim(dfm)[1])
   
#Find max and min error for each flight
library(zoo)
maxes = tapply(dfm$dt,dfm$flightfact,FUN=max)  # Returns a list
mins = tapply(dfm$dt,dfm$flightfact,FUN=min)
mdf = data.frame(flight=index(maxes), maxes=as.numeric(maxes),
mins=as.numeric(mins))
# Add a column for colors
mdf$clr = as.factor((mdf$flight - 1) %% 5)
mc = c(red,cyan,green,blue,magenta,black)
# Plot these
outfile = paste(base, airport, /, airport, ErrorRange, date,
.pdf, sep=)
pdf(file=outfile, width=14, height=7, par(lwd=.5))
# Get only ones that span 0
lblx = dim(mdf)[1]/2

}

And if I manually set
df = ads[[j]]
doAirport runs OK.

But when called from the main program, I always get
 sapply(ads,function(x) {doAirport(df, base)} )
Error in eval(expr, envir, enclos) : object 'lblx' not found
In addition: Warning message:
'mode(onefile)' differs between new and previous
 == NOT changing 'onefile'
 sapply(ads,function(x) {doAirport(x, base)} )
Error in eval(expr, envir, enclos) : object 'lblx' not found
In addition: Warning message:
'mode(onefile)' differs between new and previous
 == NOT changing 'onefile'

What am I doing wrong?

Thanks,
Jim

E-mail: jamesr...@gmail.com
URL: http://jamesrome.net

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[R] Counting non-missing values XXXX

2011-08-27 Thread Dan Abner
Hello everyone,

What is the most elegant and efficient way to count non-missing values of a
vector?

Thanks!

Dan

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Re: [R] Counting non-missing values XXXX

2011-08-27 Thread R. Michael Weylandt michael.weyla...@gmail.com
sum(!is.na(x))

Michael

On Aug 27, 2011, at 4:39 PM, Dan Abner dan.abne...@gmail.com wrote:

 Hello everyone,
 
 What is the most elegant and efficient way to count non-missing values of a
 vector?
 
 Thanks!
 
 Dan
 
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Re: [R] How download Yahoo Quote?

2011-08-27 Thread Yumin
   Hi Michael:

   I tried to simplify the code, but still failed.

*con - url(http://quote.yahoo.com;) 
if(!inherits(try(open(con), silent = TRUE), try-error)) 
   { 
   close(con)   

   x - get.hist.quote(instrument = ibm, quote = c(Cl,
Vol)) 
   plot(x, main = International Business Machines Corp) 
   }*

   It says:
 * Warning message:
   In open.connection(con) : too many redirects, aborting ...*

The more, it doesn't accept  library(quantmod) and says:

   *Error in library(quantmod) : there is no package called
'quantmod'*

Please help me!

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[R] Exception while using NeweyWest function with doMC

2011-08-27 Thread Simon Zehnder
Dear R users,

I am using R right now for a simulation of a model that needs a lot of
memory. Therefore I use the *bigmemory* package and - to make it faster -
the *doMC* package. See my code posted on http://pastebin.com/dFRGdNrG

Now, if I use the foreach loop with the addon %do% (for sequential run) I
have no problems at all - only here and there some singularities in
regressor matrices which should be ok.
BUT if I run the loop on multiple cores I get very often a bad exception. I
have posted the exception on http://pastebin.com/eMWF4cu0 The exception
comes from the NeweyWest function loaded within the sandwich library.

I have no clue, what it want to say me and why it is so weirdly printed to
the terminal. I am used to receive here and there errorsbut the messages
never look like this.

Does anyone have a useful answer for me, where to look for the cause of this
weird error?

Here some additional information:

Hardware: MacBook Pro 2.66 GHz Intel Core Duo, 4 GB Memory 1067 MHz DDR3
Software System: Mac Os X Lion 10.7.1 (11B26)
Software App: R64 version 2.11.1 run via Mac terminal

I hope someone has a good suggestion!

Thank u all!

Simon

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Re: [R] How download Yahoo Quote?

2011-08-27 Thread R. Michael Weylandt
Did you install the package quantmod?

install.packages(quantmod)

Michael

On Sat, Aug 27, 2011 at 4:32 PM, Yumin zpx...@gmail.com wrote:

   Hi Michael:

   I tried to simplify the code, but still failed.

 *con - url(http://quote.yahoo.com;)
if(!inherits(try(open(con), silent = TRUE), try-error))
   {
   close(con)

   x - get.hist.quote(instrument = ibm, quote = c(Cl,
 Vol))
   plot(x, main = International Business Machines Corp)
   }*

   It says:
  * Warning message:
   In open.connection(con) : too many redirects, aborting ...*

The more, it doesn't accept  library(quantmod) and says:

   *Error in library(quantmod) : there is no package called
 'quantmod'*

Please help me!

 --
 View this message in context:
 http://r.789695.n4.nabble.com/How-download-Yahoo-Quote-tp3769563p3773622.html
 Sent from the R help mailing list archive at Nabble.com.

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[R] Placing a column name in a variable XXXX

2011-08-27 Thread Dan Abner
Hi everyone,

How does one place an object name (in this case a vector name) into another
object (while essentially masking the values of the first object?

For example:

 JOBSAT-rnorm(40)

 CI-function(x,alpha){
+ result-cbind(x,mean=mean(x),alpha)
+ print(result)
+ }
 CI(JOBSAT,.05)

I want this to return:

Variablemean  alpha
JOBSTAT 0.02844131  0.05
Instead, I am getting:

x   mean alpha
 [1,] -1.07694997 0.02844131  0.05
 [2,] -1.13910850 0.02844131  0.05
 [3,] -0.21922026 0.02844131  0.05
 [4,]  0.38618008 0.02844131  0.05
 [5,] -1.24303799 0.02844131  0.05
 [6,] -0.74903752 0.02844131  0.05
 [7,]  0.96136975 0.02844131  0.05
 [8,] -0.38891237 0.02844131  0.05
 [9,] -0.20195871 0.02844131  0.05
[10,]  0.78104508 0.02844131  0.05
[11,]  0.87468778 0.02844131  0.05
[12,] -1.89131480 0.02844131  0.05


Thank you!

Dan

[13,]  0.74377795 0.02844131  0.05
[14,] -0.60006285 0.02844131  0.05
[15,] -0.76661652 0.02844131  0.05
[16,]  1.06005258 0.02844131  0.05
[17,]  0.02173877 0.02844131  0.05
[18,] -0.36558980 0.02844131  0.05
[19,] -1.92481588 0.02844131  0.05
[20,] -0.50337507 0.02844131  0.05
[21,]  0.82205272 0.02844131  0.05
[22,]  1.59277572 0.02844131  0.05
[23,]  0.59965718 0.02844131  0.05

[[alternative HTML version deleted]]

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Re: [R] Overdispersed GLM

2011-08-27 Thread Ben Bolker
Jim Silverton jim.silverton at gmail.com writes:

 
 Hi all,
 
 I have the following  data:
 
 rep1_treat   rep2_treat rep1_control  rep2_control
 2  3  4  5
 100 20 98  54
 0  1 2 3
 23   3227   28
 
 Two replicates for the treatment and control groups. I want to simulate from
 the null where the null is:
 Ho:there is no difference between control and treatment groups.
 
 Can R do a glm to do this?
 Another point is my data is overdispersed, so I would like to fit a negative
 binomial glm for each variable. Each row is a variable.

  Your data look a little weird.  Do you really have (0,2) and
(100,23) as responses for rep1_treat, or are those indices that
got mangled somehow?  In any case, you need to rearrange your
data to long format:

d - data.frame(rep1_treat=c(2,100,0,23),
rep2_treat=c(3,20,1,32),
rep1_control=c(4,98,2,27),
rep2_control=c(5,54,3,28))


library(reshape)
d2 - melt(d)
d3 - data.frame(d2,colsplit(d2$variable,_,c(rep,ttt)))

library(lattice)
xyplot(value~ttt:rep,data=d3)

library(MASS)
g1 - glm.nb(value~1,data=d3)
simulate(g1)  ## simulate from null model
g2 - glm.nb(value~ttt,data=d3)

You may need to consider the possibility that rep1 and rep2
are different.  In principle 'rep' should be treated as a random
effect, but with only two reps that's not really feasible, so
try including it as an interaction instead (i.e. value~rep*ttt)

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Re: [R] How download Yahoo Quote?

2011-08-27 Thread Yumin

  - Original Message - 
  From: Yumin [via R] 
  To: Yumin 
  Sent: Saturday, August 27, 2011 3:32 PM
  Subject: Re: How download Yahoo Quote?


 Hi Michael: 

 I tried to simplify the code, but still failed. 

  con - url(http://quote.yahoo.com;) 
  if(!inherits(try(open(con), silent = TRUE), try-error)) 
 { 
 close(con)   

 x - get.hist.quote(instrument = ibm, quote = c(Cl, 
Vol)) 
 plot(x, main = International Business Machines Corp) 
 }

 It says: 
Warning message: 
 In open.connection(con) : too many redirects, aborting ...

  The more, it doesn't accept  library(quantmod) and says: 

 Error in library(quantmod) : there is no package called 
'quantmod'

  Please help me! 


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  http://r.789695.n4.nabble.com/How-download-Yahoo-Quote-tp3769563p3773622.html 
  To unsubscribe from How download Yahoo Quote?, click here.

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Re: [R] Am having trouble calling a function

2011-08-27 Thread Carl Witthoft

First of all, please replace your = with -  per general R-usage rules.
Next: you need to provide a clear listing of doAirport.R so we can tell 
what it actually is, and what you've done outside the function.


That said, my suspicion is that your parent function (the one which 
calls doAirport) isn't providing a proper set of inputs to create the 
mdf data frame.  Hence dim(mdf) returns something bad and lblx doesn't 
exist.





quote
In my main R program, I have

source(retaanalysis/Functions/doAirport.R)  stuff to read data and 
calculate ads sapply(ads, function(x) {doAirport(x, base)} )


And doAirport has

# analyze the flights for a given airport doAirport = function(df, base) {

# Get rid of unused runway factor levels (from other airports)
df$lrw - drop.levels(df$lrw) # In gdata package
# Drop messages from after the landing time
df = df[df$PredTime = 0.0,]
airport = as.character(df[1,Dest])
#print it out

airport
date = strptime(df[1,on], format=%Y-%m-%d) rwys = 
factor(unique(df$lrw), ordered=TRUE) # Get the names of the runways


rwys = as.vector(rwys)
nrwys = length(rwys)
# Make a data frame with the correct index for the runway
rdf = data.frame(lrw=rwys, rwyidx=seq(1:nrwys)) df = merge(df, 
rdf, all.x=TRUE)


#colours - c(RF = brown, AF =383, PH=red,PF = black,
#BA = green, FI = blue, FF = 56, PS = magenta, TC=94)
colours - c(0=red,1=black,
2=green, 3=blue,4=magenta,5=orange)
shapes - c(RF = R, AF = f, PH=H, PF = P,
BA = B, FI = I, FF = F, PS = S, TC=T)

#Plot individual flight data

dfm = df
dfm = dfm[!df$MsgType==AS,] # Eliminate AS messages 
dfm$MsgType=drop.levels(dfm$MsgType) dfm = 
dfm[as.numeric(dfm$PredTime)  60.0,] dfm$tc= 
as.factor(floor(dfm$PredTime/10.0)) # get 10-minute bin 
dfm$flightfact = drop.levels(dfm$flightfact) row.names(dfm) = 
seq(1:dim(dfm)[1])


#Find max and min error for each flight
library(zoo)
maxes = tapply(dfm$dt,dfm$flightfact,FUN=max) # Returns a list 
mins = tapply(dfm$dt,dfm$flightfact,FUN=min) mdf = 
data.frame(flight=index(maxes), maxes=as.numeric(maxes),


mins=as.numeric(mins))
# Add a column for colors

mdf$clr = as.factor((mdf$flight - 1) %% 5) mc = 
c(red,cyan,green,blue,magenta,black)

# Plot these

outfile = paste(base, airport, /, airport, ErrorRange, date, 
.pdf, sep=)


pdf(file=outfile, width=14, height=7, par(lwd=.5))
# Get only ones that span 0

lblx = dim(mdf)[1]/2

}

And if I manually set
df = ads[[j]]
doAirport runs OK.

But when called from the main program, I always get  sapply(ads, 
function(x) {doAirport(df, base)} ) Error in eval(expr, envir, enclos) : 
object 'lblx' not found In addition: Warning message:

'mode(onefile)' differs between new and previous

 == NOT changing 'onefile'
 sapply(ads, function(x) {doAirport(x, base)} ) Error in eval(expr, 
envir, enclos) : object 'lblx' not found In addition: Warning message:

'mode(onefile)' differs between new and previous

 == NOT changing 'onefile'

What am I doing wrong?

Thanks,
Jim

E-mail: jamesrome_at_gmail.com
URL: http://jamesrome.net
--
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Sent from my Cray XK6

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Re: [R] Am having trouble calling a function

2011-08-27 Thread jim holtman
Add the following to your script:

options(error=utils::recover)

(actually put it in you Startup script), then learn how to use the
debugging in R.

On the error, this should provide a trace of the stack so that we know
where the error occurs.  By learning how to use debug/browser, you
will be able to see what the environment is at the point of the error,
then maybe some assistance can be given.

On Sat, Aug 27, 2011 at 4:34 PM, James Rome jamesr...@gmail.com wrote:
 In my main R program, I have

 source(retaanalysis/Functions/doAirport.R)
  stuff to read data and calculate ads
 sapply(ads,    function(x) {doAirport(x, base)} )

 And doAirport has

 # analyze the flights for a given airport
 doAirport = function(df, base) {
    # Get rid of unused runway factor levels (from other airports)
    df$lrw - drop.levels(df$lrw) # In gdata package
    # Drop messages from after the landing time
    df = df[df$PredTime = 0.0,]
    airport = as.character(df[1,Dest])
    #print it out
    airport
    date = strptime(df[1,on], format=%Y-%m-%d)
    rwys = factor(unique(df$lrw), ordered=TRUE)    # Get the names of
 the runways
    rwys = as.vector(rwys)
    nrwys = length(rwys)
    # Make a data frame with the correct index for the runway
    rdf = data.frame(lrw=rwys, rwyidx=seq(1:nrwys))
    df = merge(df, rdf, all.x=TRUE)

    #colours - c(RF = brown, AF =383, PH=red,PF = black,
    #BA = green, FI = blue, FF = 56, PS = magenta, TC=94)
    colours - c(0=red,1=black,
    2=green, 3=blue,4=magenta,5=orange)
    shapes - c(RF = R, AF = f, PH=H, PF = P,
    BA = B, FI = I, FF = F, PS = S, TC=T)

    #Plot individual flight data
    dfm = df
    dfm = dfm[!df$MsgType==AS,]   # Eliminate AS messages
    dfm$MsgType=drop.levels(dfm$MsgType)
    dfm = dfm[as.numeric(dfm$PredTime)  60.0,]
    dfm$tc= as.factor(floor(dfm$PredTime/10.0))  # get 10-minute bin
    dfm$flightfact = drop.levels(dfm$flightfact)
    row.names(dfm) = seq(1:dim(dfm)[1])

    #Find max and min error for each flight
    library(zoo)
    maxes = tapply(dfm$dt,dfm$flightfact,FUN=max)  # Returns a list
    mins = tapply(dfm$dt,dfm$flightfact,FUN=min)
    mdf = data.frame(flight=index(maxes), maxes=as.numeric(maxes),
        mins=as.numeric(mins))
    # Add a column for colors
    mdf$clr = as.factor((mdf$flight - 1) %% 5)
    mc = c(red,cyan,green,blue,magenta,black)
    # Plot these
    outfile = paste(base, airport, /, airport, ErrorRange, date,
 .pdf, sep=)
    pdf(file=outfile, width=14, height=7, par(lwd=.5))
    # Get only ones that span 0
    lblx = dim(mdf)[1]/2
 
 }

 And if I manually set
 df = ads[[j]]
 doAirport runs OK.

 But when called from the main program, I always get
 sapply(ads,    function(x) {doAirport(df, base)} )
 Error in eval(expr, envir, enclos) : object 'lblx' not found
 In addition: Warning message:
 'mode(onefile)' differs between new and previous
     == NOT changing 'onefile'
 sapply(ads,    function(x) {doAirport(x, base)} )
 Error in eval(expr, envir, enclos) : object 'lblx' not found
 In addition: Warning message:
 'mode(onefile)' differs between new and previous
     == NOT changing 'onefile'

 What am I doing wrong?

 Thanks,
 Jim

 E-mail: jamesr...@gmail.com
 URL: http://jamesrome.net

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-- 
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Data Munger Guru

What is the problem that you are trying to solve?

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Re: [R] Placing a column name in a variable XXXX

2011-08-27 Thread jim holtman
The function is doing exactly what you are telling it to do.  You have
'cbind(x, mean(x), alpha)' which is creating a matrix where the first
column is all the values in 'x' and the next two are the recycled
values of mean and alpha.  Is this what you want:

 JOBSAT-rnorm(10)

 CI-function(x,alpha){
+ cbind(x,mean=mean(x),alpha)
+ }
 CI(JOBSAT,.05)
   x   mean alpha
 [1,]  0.8592324 -0.1240675  0.05
 [2,] -0.3128362 -0.1240675  0.05
 [3,] -2.0042218 -0.1240675  0.05
 [4,] -0.4675232 -0.1240675  0.05
 [5,] -0.5776273 -0.1240675  0.05
 [6,]  1.5696650 -0.1240675  0.05
 [7,]  0.8070593 -0.1240675  0.05
 [8,] -0.8257525 -0.1240675  0.05
 [9,]  0.6167636 -0.1240675  0.05
[10,] -0.9054347 -0.1240675  0.05

 # new function that does not return 'x'

 CInew -function(x,alpha){
+ c(mean=mean(x), alpha = alpha)
+ }
 CInew(JOBSAT,.05)
  mean  alpha
-0.1240675  0.050


On Sat, Aug 27, 2011 at 5:38 PM, Dan Abner dan.abne...@gmail.com wrote:
 Hi everyone,

 How does one place an object name (in this case a vector name) into another
 object (while essentially masking the values of the first object?

 For example:

 JOBSAT-rnorm(40)

 CI-function(x,alpha){
 + result-cbind(x,mean=mean(x),alpha)
 + print(result)
 + }
 CI(JOBSAT,.05)

 I want this to return:

 Variable    mean              alpha
 JOBSTAT 0.02844131  0.05
 Instead, I am getting:

                x       mean alpha
  [1,] -1.07694997 0.02844131  0.05
  [2,] -1.13910850 0.02844131  0.05
  [3,] -0.21922026 0.02844131  0.05
  [4,]  0.38618008 0.02844131  0.05
  [5,] -1.24303799 0.02844131  0.05
  [6,] -0.74903752 0.02844131  0.05
  [7,]  0.96136975 0.02844131  0.05
  [8,] -0.38891237 0.02844131  0.05
  [9,] -0.20195871 0.02844131  0.05
 [10,]  0.78104508 0.02844131  0.05
 [11,]  0.87468778 0.02844131  0.05
 [12,] -1.89131480 0.02844131  0.05


 Thank you!

 Dan

 [13,]  0.74377795 0.02844131  0.05
 [14,] -0.60006285 0.02844131  0.05
 [15,] -0.76661652 0.02844131  0.05
 [16,]  1.06005258 0.02844131  0.05
 [17,]  0.02173877 0.02844131  0.05
 [18,] -0.36558980 0.02844131  0.05
 [19,] -1.92481588 0.02844131  0.05
 [20,] -0.50337507 0.02844131  0.05
 [21,]  0.82205272 0.02844131  0.05
 [22,]  1.59277572 0.02844131  0.05
 [23,]  0.59965718 0.02844131  0.05

        [[alternative HTML version deleted]]

 __
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What is the problem that you are trying to solve?

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Re: [R] to represent color range on plot segment

2011-08-27 Thread jim holtman
?colorRamp

On Sat, Aug 27, 2011 at 2:07 PM, karthicklakshman
karthick.laksh...@gmail.com wrote:
 Dear R community,

 With an advantage of being NEW to R, I would like to post a very basic
 query here,

 I am in need of representing gene expression data which ranges from -0.09 to
 +4, on plot segment. please find below the data df, the expression values
 are in df[,2]. kindly help me with the code, so that I can represent the
 values with a clear color gradient (something like -0.09 to 0 as red
 gradient and 0 to +4 as green gradient)

            location         value
 15  chr+:14001-15001  0.99749499
 16  chr+:15001-16001  0.99957360
 17  chr+:16001-17001  0.99166481
 18  chr+:17001-18001  0.97384763
 19  chr+:18001-19001  0.94630009
 20  chr+:19001-20001  0.90929743
 21  chr+:20001-21001  0.86320937
 22  chr+:21001-22001  0.80849640
 23  chr+:22001-23001  0.74570521
 24  chr+:23001-24001  0.67546318
 25  chr+:24001-25001  0.59847214
 26  chr+:25001-26001  0.51550137
 27  chr+:26001-27001  0.42737988
 28  chr+:27001-28001  0.33498815
 29  chr+:28001-29001  0.23924933
 30  chr+:29001-30001  0.14112001
 31  chr+:30001-31001  0.04158066
 32  chr+:31001-32001 -0.05837414
 33  chr+:32001-33001 -0.15774569
 34  chr+:33001-34001 -0.25554110
 35  chr+:34001-35001 -0.35078323
 36  chr+:35001-36001 -0.44252044
 37  chr+:36001-37001 -0.52983614
 38  chr+:37001-38001 -0.61185789
 39  chr+:38001-39001 -0.68776616
 40  chr+:39001-40001 -0.75680250
 41  chr+:40001-41001 -0.81827711
 42  chr+:41001-42001 -0.87157577
 43  chr+:42001-43001 -0.91616594
 44  chr+:43001-44001 -0.95160207

 Thanks in advance,
 regards,
 karthick



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 http://r.789695.n4.nabble.com/to-represent-color-range-on-plot-segment-tp3773392p3773392.html
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Re: [R] data manipulation and summaries with few million rows

2011-08-27 Thread jim holtman
Factors are you friend here:

 myData
   mydate gender mygroup id mygrp.f
1  2012-03-25  F   A  1   1
2  2005-05-23  F   B  2   2
3  2005-09-08  F   B  2   2
4  2005-12-07  F   B  2   2
5  2006-02-26  F   C  2   3
6  2006-05-13  F   C  2   3
7  2006-09-01  F   C  2   3
8  2006-12-12  F   D  2   4
9  2006-02-19  F   D  2   4
10 2006-05-03  F   D  2   4
11 2006-04-23  F   D  2   4
12 2007-12-08  F   D  2   4
13 2011-03-19  F   D  2   4
14 2007-12-20  M   A  3   1
15 2008-06-15  M   A  3   1
16 2008-12-16  M   A  3   1
17 2009-06-07  M   B  3   2
18 2009-10-09  M   B  3   2
19 2010-01-28  M   B  3   2
20 2007-06-05  M   A  4   1
 # change 'mygroup' to a factor so you can use 'diff' to count the changes
 myData$mygrp.f - as.integer(factor(myData$mygroup))
 # count the changes for each 'id'
 changes - tapply(myData$mygrp.f, myData$id, function(x){
+ sum(diff(x) != 0)
+ })


 changes
1 2 3 4
0 2 1 0



On Wed, Aug 24, 2011 at 12:48 PM, Juliet Hannah juliet.han...@gmail.com wrote:
 I have a data set with about 6 million rows and 50 columns. It is a
 mixture of dates, factors, and numerics.

 What I am trying to accomplish can be seen with the following
 simplified data, which is given as dput output below.

 head(myData)
      mydate gender mygroup id
 1 2012-03-25      F       A  1
 2 2005-05-23      F       B  2
 3 2005-09-08      F       B  2
 4 2005-12-07      F       B  2
 5 2006-02-26      F       C  2
 6 2006-05-13      F       C  2

 For each id, I want to count the number of changes of the variable
 'mygroup' that occur. For example, id=1 has 0 changes because it is
 observed only once.  id=2 has 2 changes (B to C, and C to D).  I also
 need to calculate the total observation time for each id using the
 variable mydate.  In the end, I am trying to have a new data set in
 which each row has an id, days observed, number of changes, and
 gender.

 I made some simple summaries using data.table and plyr, but I'm stuck
 on this reformatting.

 Thanks for your help.

 myData - structure(list(mydate = c(2012-03-25, 2005-05-23, 2005-09-08,
 2005-12-07, 2006-02-26, 2006-05-13, 2006-09-01, 2006-12-12,
 2006-02-19, 2006-05-03, 2006-04-23, 2007-12-08, 2011-03-19,
 2007-12-20, 2008-06-15, 2008-12-16, 2009-06-07, 2009-10-09,
 2010-01-28, 2007-06-05), gender = c(F, F, F, F, F,
 F, F, F, F, F, F, F, F, M, M, M, M, M,
 M, M), mygroup = c(A, B, B, B, C, C, C, D,
 D, D, D, D, D, A, A, A, B, B, B, A),
    id = c(1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
    3L, 3L, 3L, 3L, 3L, 3L, 4L)), .Names = c(mydate, gender,
 mygroup, id), class = data.frame, row.names = c(NA, -20L
 ))

 sessionInfo()
 R version 2.13.1 (2011-07-08)
 Platform: x86_64-unknown-linux-gnu (64-bit)

 locale:
  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
  [5] LC_MONETARY=C              LC_MESSAGES=en_US.UTF-8
  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
  [9] LC_ADDRESS=C               LC_TELEPHONE=C
 [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

 attached base packages:
 [1] stats     graphics  grDevices utils     datasets  methods   base

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




-- 
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?

__
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] Placing a column name in a variable XXXX

2011-08-27 Thread jim holtman
In this case you want to use a 'list' since you want character and
numerics returned:

 JOBSTAT-rnorm(10)


 # new function that does not return 'x'

 CInew -function(x,alpha){
+ list(variable = deparse(substitute(x)), mean=mean(x), alpha = alpha)
+ }

 CInew(JOBSTAT, 0.05)
$variable
[1] JOBSTAT

$mean
[1] -1.113034

$alpha
[1] 0.05





On Sat, Aug 27, 2011 at 6:58 PM, Dan Abner dan.abne...@gmail.com wrote:


 I want to it return:

 Variable Mean    alpha
 JOBSTAT  -0.1240675  0.05

 How do I get the function parameter x to equal the name of the object that
 is specified as x as a character string?


 On Sat, Aug 27, 2011 at 6:41 PM, jim holtman jholt...@gmail.com wrote:

 The function is doing exactly what you are telling it to do.  You have
 'cbind(x, mean(x), alpha)' which is creating a matrix where the first
 column is all the values in 'x' and the next two are the recycled
 values of mean and alpha.  Is this what you want:

  JOBSAT-rnorm(10)
 
  CI-function(x,alpha){
 + cbind(x,mean=mean(x),alpha)
 + }
  CI(JOBSAT,.05)
               x       mean alpha
  [1,]  0.8592324 -0.1240675  0.05
  [2,] -0.3128362 -0.1240675  0.05
  [3,] -2.0042218 -0.1240675  0.05
  [4,] -0.4675232 -0.1240675  0.05
  [5,] -0.5776273 -0.1240675  0.05
  [6,]  1.5696650 -0.1240675  0.05
  [7,]  0.8070593 -0.1240675  0.05
  [8,] -0.8257525 -0.1240675  0.05
  [9,]  0.6167636 -0.1240675  0.05
 [10,] -0.9054347 -0.1240675  0.05
 
  # new function that does not return 'x'
 
  CInew -function(x,alpha){
 + c(mean=mean(x), alpha = alpha)
 + }
  CInew(JOBSAT,.05)
      mean      alpha
 -0.1240675  0.050


 On Sat, Aug 27, 2011 at 5:38 PM, Dan Abner dan.abne...@gmail.com wrote:
  Hi everyone,
 
  How does one place an object name (in this case a vector name) into
  another
  object (while essentially masking the values of the first object?
 
  For example:
 
  JOBSAT-rnorm(40)
 
  CI-function(x,alpha){
  + result-cbind(x,mean=mean(x),alpha)
  + print(result)
  + }
  CI(JOBSAT,.05)
 
  I want this to return:
 
  Variable    mean              alpha
  JOBSTAT 0.02844131  0.05
  Instead, I am getting:
 
                 x       mean alpha
   [1,] -1.07694997 0.02844131  0.05
   [2,] -1.13910850 0.02844131  0.05
   [3,] -0.21922026 0.02844131  0.05
   [4,]  0.38618008 0.02844131  0.05
   [5,] -1.24303799 0.02844131  0.05
   [6,] -0.74903752 0.02844131  0.05
   [7,]  0.96136975 0.02844131  0.05
   [8,] -0.38891237 0.02844131  0.05
   [9,] -0.20195871 0.02844131  0.05
  [10,]  0.78104508 0.02844131  0.05
  [11,]  0.87468778 0.02844131  0.05
  [12,] -1.89131480 0.02844131  0.05
 
 
  Thank you!
 
  Dan
 
  [13,]  0.74377795 0.02844131  0.05
  [14,] -0.60006285 0.02844131  0.05
  [15,] -0.76661652 0.02844131  0.05
  [16,]  1.06005258 0.02844131  0.05
  [17,]  0.02173877 0.02844131  0.05
  [18,] -0.36558980 0.02844131  0.05
  [19,] -1.92481588 0.02844131  0.05
  [20,] -0.50337507 0.02844131  0.05
  [21,]  0.82205272 0.02844131  0.05
  [22,]  1.59277572 0.02844131  0.05
  [23,]  0.59965718 0.02844131  0.05
 
         [[alternative HTML version deleted]]
 
  __
  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.
 



 --
 Jim Holtman
 Data Munger Guru

 What is the problem that you are trying to solve?





-- 
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?

__
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] issue with available.packages() and download.file()

2011-08-27 Thread Duncan Murdoch

On 11-08-25 9:52 PM, Seth Schommer wrote:

Dear R-Users,

I think I have encountered a potential bug (or at least unwanted behavior),
but I'm not sure so I wanted to post here first.  Lately I've been


I'd say it's a bug with your network setup:  when a URL is not found, an 
error should be generated.  Helpful servers that give you ads or a 
search page instead are not following the rules.


Unfortunately, this is a pretty common misconfiguration, so perhaps R 
should try to work around it.  If you want to put together a suggested 
patch, I'll take a look.  The source is in 
https://svn.r-project.org/R/trunk/src/library/utils/R/packages.R.


Duncan Murdoch


encountering an error when running a package I put together.  I have my
package set up to check for updates when it loads but this error occurs and
stops the package from loading:

Error : .onLoad failed in loadNamespace() for 'rNMR', details:
   call: read.dcf(file = tmpf)
   error: Line starting 'SCRIPT language=Jav ...' is malformed!
Error: package/namespace load failed for 'rNMR'


I tracked to the following line of code from my package:

available.packages(contrib.url(repos = http://rnmr.nmrfam.wisc.edu/R/;,
type = win.binary))


I dug a little deeper and found the following line of code from
available.packages() to be causing the problem:

z- tryCatch(download.file(url = paste(repos, PACKAGES.gz, sep = /),
destfile = tmpf, method = method, cacheOK = FALSE, quiet = TRUE, mode =
wb), error = identity)


The problem occurs because PACKAGES.gz does not exist in the repository,
so my router redirects the invalid URL to a search page and some JavaScript
is downloaded instead.  The error is generated when R tries to read the
downloaded file:

res0- read.dcf(file = tmpf)
Error in read.dcf(file = tmpf) :
   Line starting 'SCRIPT language=Jav ...' is malformed!


The repository does have a PACKAGES file, but it never gets read because
download.file() does not generate an error.  I've fixed the issue by
uploading a PACKAGES.gz file to the repository, but I wanted to point out
the issue in case anybody else has encountered this problem.  This problem
may be unique to my particular system configuration, in which case a fix may
not be justified.  Otherwise, it may be a good idea to check for
a PACKAGES file in the repository if an error is encountered when trying
to read the downloaded PACKAGES.gz file.

Thanks,
Seth

R Version:
  platform = i386-pc-mingw32
  arch = i386
  os = mingw32
  system = i386, mingw32
  status = Patched
  major = 2
  minor = 13.1
  year = 2011
  month = 08
  day = 19
  svn rev = 56771
  language = R
  version.string = R version 2.13.1 Patched (2011-08-19 r56771)

Windows 7 (build 7601) Service Pack 1

Locale:
  LC_COLLATE=English_United States.1252;LC_CTYPE=English_United
States.1252;LC_MONETARY=English_United
States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252

Search Path:
  .GlobalEnv, package:tcltk, package:stats, package:graphics,
package:grDevices, package:utils,
  package:datasets, package:methods, Autoloads, package:base

[[alternative HTML version deleted]]

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


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


[R] control line break behavior of R output

2011-08-27 Thread Martin Batholdy
Hi,


Is it possible to define at which point a line-break is happening in R-output?

I for example would rather like to scroll horizontally in a data-frame with a 
lot of columns 
instead of having a lot of breakpoints in the data.frame (to fit the screen).


Can you control that?
Can you tell R to do a line-break after x symbols of output for example?


thanks!

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[R] calculating avg silhouette with fpc package

2011-08-27 Thread Matthew Pirritano
All,

Excuse me for being a newbie.

I'm trying to calculate the average silhouette, a measure of cluster
validity.

I've already brought my spss data in. It's 1008 cases with 8 variables, no
missing data. So far I've run this:

 fit - agnes(mydata, diss= FALSE, metric = euclidean, stand=FALSE,
method = ward)

When I look at the results for this command it appears to be more than just
the distance matrix I need to plug into cluster.stats in the fpc package.
How do I isolate the distance matrix so that I can then run cluster.stats?

Any help is much appreciated. If you need me to clarify with more info
please ask.

Thanks
matt

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Re: [R] How download Yahoo Quote?

2011-08-27 Thread Yumin
   Hi  Michael:

   I installed:  install. packages(quantmod) and now it accept
library(quantmod) sentence. BUT after input:

 * con - url(http://quote.yahoo.com;) 
 if(!inherits(try(open(con), silent = TRUE),
try-error)) 
 { 
close(con) 

 x - get.hist.quote(instrument = ibm, quote =
c(Cl, 
 
Vol)) 
   plot(x, main = International Business Machines
Corp) 
}*

The result is the same:

 *Warning message:
  In open.connection(con) : too many redirects, aborting
...*


 ps: the 1st line of my code is:
 library(quantmod) 

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Re: [R] Legent to the Periodogram

2011-08-27 Thread Peter Maclean
How Can I add a legent (showing x1, x2, x3, x4) to the last plot?
require(TSA)
require(graphics)
require(stats)
t-1986:2011
x1-cos(t*1990/2011)
x2-cos(t*2000/20011)
x3-sin(t*1990/2011)
x4-sin(t*2000/2011)
y-cbind(t,x1,x2, x3,x4)
y.time = ts(y.time, start=1986, frequency=1)
y.spc-spec.pgram(y.time, spans = c(3,3), detrend=FALSE,log=no,plot = TRUE, 
kernel(modified.daniell, c(5,7)))
plot(y.spc, plot.type = marginal, main=Smoothed Periodogram)


Peter Maclean
Department of Economics
UDSM

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Re: [R] How download Yahoo Quote?

2011-08-27 Thread R. Michael Weylandt
What is wrong with the getSymbols(IBM) command I originally suggested to
you?

Michael

On Sat, Aug 27, 2011 at 6:23 PM, Yumin zpx...@gmail.com wrote:

   Hi  Michael:

   I installed:  install. packages(quantmod) and now it accept
 library(quantmod) sentence. BUT after input:

  * con - url(http://quote.yahoo.com;)
 if(!inherits(try(open(con), silent = TRUE),
 try-error))
 {
close(con)

 x - get.hist.quote(instrument = ibm, quote =
 c(Cl,

 Vol))
   plot(x, main = International Business Machines
 Corp)
}*

 The result is the same:

  *Warning message:
  In open.connection(con) : too many redirects, aborting
 ...*


  ps: the 1st line of my code is:
 library(quantmod)

 --
 View this message in context:
 http://r.789695.n4.nabble.com/How-download-Yahoo-Quote-tp3769563p3773771.html
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[[alternative HTML version deleted]]

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Re: [R] Ordered probit model -marginal effects and relative importance of each predictor-

2011-08-27 Thread David Winsemius


On Aug 27, 2011, at 3:15 PM, franco salerno wrote:


Hi, I have a problem with the ordered probit model -polr function
(library MASS). My independent variables are countinuos.
I am not able to understand two main points:

a) how to calculate marginal effects
b) how to calculate the relative importance of each independent  
variables


If required i will attach my model output.


It is a great puzzle to me that people think that the output of a  
statistical program can be interpreted without a clear and complete  
description of the input.


--
David Winsemius, MD
West Hartford, CT

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Re: [R] control line break behavior of R output

2011-08-27 Thread David Winsemius


On Aug 27, 2011, at 8:19 PM, Martin Batholdy wrote:


Hi,


Is it possible to define at which point a line-break is happening in  
R-output?


I for example would rather like to scroll horizontally in a data- 
frame with a lot of columns
instead of having a lot of breakpoints in the data.frame (to fit the  
screen).



Can you control that?
Can you tell R to do a line-break after x symbols of output for  
example?


options() with a width argument

... and whatever GUI you uae may have further setting, but per usual  
none of that information was provided.








--

David Winsemius, MD
West Hartford, CT

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Re: [R] Legent to the Periodogram

2011-08-27 Thread Mikhail Titov
plot.spec uses matplot. see ?matplot for default col  lty and use
legend as usual.

P.S. You can add plot=FALSE to spec.pgram to prevent it from plotting

On 08/27/2011 05:39 PM, Peter Maclean wrote:
 How Can I add a legent (showing x1, x2, x3, x4) to the last plot?
 require(TSA)
 require(graphics)
 require(stats)
 t-1986:2011
 x1-cos(t*1990/2011)
 x2-cos(t*2000/20011)
 x3-sin(t*1990/2011)
 x4-sin(t*2000/2011)
 y-cbind(t,x1,x2, x3,x4)
 y.time = ts(y.time, start=1986, frequency=1)
 y.spc-spec.pgram(y.time, spans = c(3,3), detrend=FALSE,log=no,plot = TRUE, 
 kernel(modified.daniell, c(5,7)))
 plot(y.spc, plot.type = marginal, main=Smoothed Periodogram)


 Peter Maclean
 Department of Economics
 UDSM

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 https://stat.ethz.ch/mailman/listinfo/r-help
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[R] Trying to extract probabilities in CARET (caret) package with a glmStepAIC model

2011-08-27 Thread Jon Toledo

Dear developers,
I have jutst started working with caret and all the nice features it offers. 
But I just encountered a problem:
I am working with a dataset that include 4 predictor variables in Descr and a 
two-category outcome in Categ (codified as a factor).
Everything was working fine I got the results, confussion matrix etc.
BUT for obtaining the AUC and predicted probabilities I had to add  classProbs 
= TRUE, in the trainControl. Thereafter everytime I run train I get this 
message:
undefined columns selected

I copy the syntax:
fitControl - trainControl(method = cv, number = 10, classProbs = 
TRUE,returnResamp = all, verboseIter = FALSE)
glmFit - train(Descr, Categ, method = glmStepAIC,tuneLength = 4,trControl = 
fitControl)
Thank you.
Best regards,

Jon Toledo, MD

Postdoctoral fellow
University of Pennsylvania School of Medicine
Center for Neurodegenerative Disease Research
3600 Spruce Street
3rd Floor Maloney Building
Philadelphia, Pa 19104
  
[[alternative HTML version deleted]]

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