[R] How to make a code last until a condition is completed ?

PIKAL Petr petr.pikal at precheza.cz
Thu Mar 20 14:15:26 CET 2014


Hi

I have a strong suspiction that you want to reinvent wheel.

does functions
?chull (grDevices) and ?pip (splancs) do what you want?

Regards
Petr

> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Gwennaël Bataille
> Sent: Thursday, March 20, 2014 9:55 AM
> To: r-help at r-project.org
> Subject: [R] How to make a code last until a condition is completed ?
>
> # Dear all,
>
> # I simulate individual paths in a landscape (let's say coordinates in
> x
> and y range
> # from -100 to 100 both) and would like to replace each individual
> going
> outside the
> # landscape by a new simulation... until none of them goes outside the
> landscape.
>
> # For example, I simulate 100 coordinates :
>
> # Step 1 : Simulate the individuals coordinates
>
> paths_x <- rnorm(100)*100  # This is a simplification for the example
> paths_y <- rnorm(100)*100
>
> # Step 2 : Detect individuals outside the landscape to simulate them
> again
> # The OUTSIDE variable tells if we need further simulations or not
> # The OUTSIDE_IND variable informs about which individuals are outside
> the landscape
>
> IS_OUTSIDE <- c(-min(paths_x), max(paths_x), -min(paths_y),
> max(paths_y)) # this gives the absolute value of min and max
> if( any(IS_OUTSIDE > 100) ) { OUTSIDE <- TRUE } else { OUTSIDE <- FALSE
> }
> if(OUTSIDE == TRUE) { OUTSIDE_IND <- c(which(paths_x < -100),
> which(paths_x > 100), which(paths_y < - 100), which(paths_y > 100)) } #
> Identifies the outliers
>
> # What I would like to do is :
>
> if( OUTSIDE == TRUE ) {   # Go to step 1 again
> paths_x[ OUTSIDE_IND ] <- rnorm(100)[ length( OUTSIDE_IND ) ]*100
> paths_y[ OUTSIDE_IND ] <- rnorm(100)[ length( OUTSIDE_IND ) ]*100
> }   # And then, go to step 2 again :
> # are there some individuals outside the landscape again ? -> if yes,
> go
> to step 1 untill none is left
>
> else { # Go to step 3 }
>
> # I could easily copy-paste steps 1 and 2 a lot of time, but I want to
> make sure all the individuals are OK,
> # that none remains outside the landscape "by chance"
>
> # Thank you very much in advance for your help,
>
> # Gwennaël Bataille
>
>
> --
> Gwennaël BATAILLE, PhD student - Teaching assistant
>
> Earth and Life Institute
> Université Catholique de Louvain
> SST/ELI/ELIB
> Bâtiment Carnoy, c.145
> Croix du sud 4-5, bte L7.07.04
> 1348 Louvain-la-Neuve
> BELGIUM
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> and provide commented, minimal, self-contained, reproducible code.

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