[R] to findout maximized log likelihoods by using rlarg.fit (for several r order statistics)

rupos sujon ruposh at yahoo.com
Wed Apr 4 14:00:35 CEST 2007


Dear R helpers,

I need to find out maximized log likelihoods,
parameters estimates and standard errors (in
parentheses) of r largest-order statistics model, with
different values of r by using the function rlarg.fit.
I want to specify required number of order statistics
to the model. I attached my data file with this
mail.please help me.

Ruposh
 



--- r-help-request at stat.math.ethz.ch wrote:

> Send R-help mailing list submissions to
> 	r-help at stat.math.ethz.ch
> 
> To subscribe or unsubscribe via the World Wide Web,
> visit
> 	https://stat.ethz.ch/mailman/listinfo/r-help
> or, via email, send a message with subject or body
> 'help' to
> 	r-help-request at stat.math.ethz.ch
> 
> You can reach the person managing the list at
> 	r-help-owner at stat.math.ethz.ch
> 
> When replying, please edit your Subject line so it
> is more specific
> than "Re: Contents of R-help digest..."
> 
> 
> Today's Topics:
> 
>    1. Re: bivariate interpolation (Adelchi Azzalini)
>    2. Coding for contrasts in unbalanced designs
> (Guillaume Brutel)
>    3. Re: substitute values (Mark Wardle)
>    4. Odp:  converting a list to a data.frame (Petr
> PIKAL)
>    5. Re: substitute values (Sergio Della Franca)
>    6. the numimum number of fixed factors lme
> package can deal with
>       (Fang, Yongxiang)
>    7. Re: converting a list to a data.frame (Mark
> Wardle)
>    8. Re: Referencing function name from within
> function
>       (rolf at math.unb.ca)
>    9. Re: Referencing function name from within
> function (jim holtman)
>   10. Re: converting a list to a data.frame
> (Dimitris Rizopoulos)
>   11. help: protein class prediction in
> bioinformatics (Bing Xiong)
>   12. controling omitted category in factor()
> (toby909 at gmail.com)
>   13. approx with ties = 'ordered' (Vadim
> Ogranovich)
>   14. Re: Referencing function name from within
> function
>       (Prof Brian Ripley)
>   15. Re: converting a list to a data.frame (Stephen
> Tucker)
>   16. confine a dataframe with a polygon (temiz)
>   17. Re: controling omitted category in factor()
> (Prof Brian Ripley)
>   18. Re: Calculating DIC from MCMC output (Duncan
> Murdoch)
>   19. Coding for contrasts in unbalanced designs
> (Guillaume Brutel)
>   20. Re: Coding for contrasts in unbalanced designs
> (Peter Dalgaard)
>   21. two-way anova nested fix effects issues
> (Hufkens Koen)
>   22. Coding for contrasts in unbalanced designs
> (Guillaume Brutel)
>   23. Re: Referencing function name from within
> function
>       (Alberto Monteiro)
>   24. Strange labels on plot with dates (Henrik
> Andersson)
>   25. Re: Referencing function name from within
> function (Mark Wardle)
>   26. Re: Strange labels on plot with dates (Gabor
> Grothendieck)
>   27. Re: Strange labels on plot with dates (Henrik
> Andersson)
>   28. Re: Strange labels on plot with dates (Prof
> Brian Ripley)
>   29. Re: strange fisher.test result (Thomas Lumley)
>   30. which points within an ellipsoid? Sorting data
> in 3d
>       (Kim Milferstedt)
>   31. Re: confine a dataframe with a polygon (Roger
> Bivand)
>   32. Re: Generate a serie of new vars that
> correlate with existing
>       var (Greg Snow)
>   33. Re: which points within an ellipsoid? Sorting
> data in 3d
>       (Greg Snow)
>   34. Re: strange fisher.test result (Peter
> Dalgaard)
>   35. Re: Referencing function name from within
> function
>       (rolf at math.unb.ca)
>   36. treenet (HelponR)
>   37. Re: Testing additive nonparametric model
> (Donal O'Neill)
>   38. Re: the numimum number of fixed factors lme
> package can deal
>       with (Douglas Bates)
>   39. Re: lmer, CHOLMOD warning: matrix not positive
> definite
>       (Douglas Bates)
>   40. Re: Coding for contrasts in unbalanced designs
> (Peter Dalgaard)
>   41. Testing random effect in logistic mixed model
> (Julien)
>   42. Re: treenet (Weiwei Shi)
>   43.  problems with residuals of an arima model
> (Katharina Vedovelli)
>   44. Re: lmer, CHOLMOD warning: matrix not positive
> definite
>       (Seyed Reza Jafarzadeh)
>   45. Re: Generate a serie of new vars that
> correlate with existing
>       var (Nguyen Dinh Nguyen)
>   46. Optimization and simulation (Jin Huang)
>   47. REPLACE and REMOVE fns (Tina Robles)
>   48. Re: (Newbie)Basic Basic global vs. local
> variables (projection83)
>   49. Re: Reading user input (projection83)
>   50. Newbie: Simple loops: complex troubles
> (projection83)
>   51. gnomeGUI under KDE (Luis Lopez Oliveros)
>   52. Re: HPDinterval problem (Seyed Reza
> Jafarzadeh)
>   53. Re: converting a list to a data.frame (Patrick
> Connolly)
>   54. time zone problems (Marc Fischer)
>   55. Re: Reading user input (Petr Klasterecky)
>   56. Re: Newbie: Simple loops: complex troubles
> (Petr Klasterecky)
>   57. Re: gnomeGUI under KDE (Prof Brian Ripley)
>   58. Re: confine a dataframe with a polygon (temiz)
>   59. Re: HPDinterval problem (Seyed Reza
> Jafarzadeh)
>   60. transition matrices (Richard Rowe)
>   61. Re: REPLACE and REMOVE fns (Uwe Ligges)
>   62. Re: time zone problems (Stephen Tucker)
>   63. Re: Testing additive nonparametric model
> (Simon Wood)
>   64. Problem with R library (bisous)
>   65. Need mtrace (malloc debugging) help
> ($|-|@r@|))
>   66. Silhouette width using K-means (RK)
>   67. Re: Problem with R library (Uwe Ligges)
>   68. Re: gnomeGUI under KDE (R Gott)
>   69. Info on SPATSTAT window and maps (Giuseppe
> Brundu)
> 
> 
>
----------------------------------------------------------------------
> 
> Message: 1
> Date: Tue, 3 Apr 2007 11:58:27 +0200
> From: Adelchi Azzalini <azzalini at stat.unipd.it>
> Subject: Re: [R] bivariate interpolation
> To: "eric lee" <ericlee100 at gmail.com>
> Cc: r-help at stat.math.ethz.ch
> Message-ID:
> <20070403115827.99d67de3.azzalini at stat.unipd.it>
> Content-Type: text/plain; charset=ISO-8859-1
> 
> On Tue, 3 Apr 2007 11:43:55 +0200, Adelchi Azzalini
> wrote:
> 
> AA> On Mon, 2 Apr 2007 22:26:06 -0400, eric lee
> wrote:
> AA> 
> AA> EL> Hi.  I'm trying to take a data set with two
> independent and one
> AA> EL> dependent variable and enter a x,y value to
> predict the dependent
> AA> EL> with a nonparametric technique.  I've been
> using interpp in the akima
> AA> EL> package, (windows xp, R 2.4.1), but get
> values that are orders of
> AA> EL> magnitude off when the predictors are
> slightly out of the range of
> AA> EL> the data set.  Can you recommend a function
> for me?  I've read that
> AA> EL> predict.loess has the same problem or just
> lists NA.  Smooth.spline
> AA> EL> looks good, but can only do one predictor
> instead of bivariate.  I've
> AA> EL> tried help.search("predict"), but couldn't
> find what I needed.
> AA> EL> Thanks.
> AA> EL> 
> AA> 
> AA> one option is to use sm.regression of package
> sm, along these lines
> AA> 
> AA>  x <- cbind(runif(100,-2, 2), runif(100,-2, 2))
> AA>  y <- x[,1]^2 + x[,2]^2 + 0.7*x[,1]*x[,2] +
> rnorm(100)/3
> AA>  sm.regression(x,y)
> AA>  ev.pt <- rbind(c(-2,-2),c(2,2),
> c(2,-2),c(-2,2))
> AA>  a <- sm.regression(x,y, eval.points=ev.pt, 
> eval.grid=FALSE)
> 
> 
=== message truncated ===



 
____________________________________________________________________________________
8:00? 8:25? 8:40? Find a flick in no time 

-------------- next part --------------
An embedded and charset-unspecified text was scrubbed...
Name: rain.txt
Url: https://stat.ethz.ch/pipermail/r-help/attachments/20070404/601b3a66/attachment.txt 


More information about the R-help mailing list