The unlist-sapply-seq_len bit is unnecessarily convoluted, since the
infcprodessa function can accept vector inputs.
z <- infcprodessa( ab$a, TINF, ab$b, ab$b-TINF )
possibles <- ab[ z >= 15 & z <= 20, ]
possibles[ which.min( possibles$a ), ]
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Sent from my phone. Please excuse my brevity.
Berend Hasselman <b...@xs4all.nl> wrote:
>
>On 26-01-2013, at 12:31, Andras Farkas <motyoc...@yahoo.com> wrote:
>
>>
>> Sorry Jeff, probably the new version of Yahoo mail doing the html, I
>switched back to the older one hope that takes care of the problem. Let
>me clarify the code below:
>>
>> TINF <-1
>> a <-c(500,750,1000,1250,1500,1750,2000)
>> b <-c(8,12,18,24,36,48,60,72,96)
>>
>> infcprodessa <-function (D, tin, tau, ts)
>> (D * (1 - exp(-0.048 * tin))/(tin * (0.048*79) * (1 - exp(-0.048
>* tau)))) * exp(-0.048 * (ts - tin))
>>
>> z <-sapply(1:1, function(n) infcprodessa(a,TINF,b,b-TINF))
>>
>> so I am looking to find the combination of a = 1000 and b = 12, which
>iz a value for "z" that would fall between 15 and 20. Sometimes though
>there may be more than one combinations that will meet criteria, in
>that case I would like to select the combination based on the smallest
>"a" value that has the respective "b" value to meet the criteria,
>>
>
>ab <- expand.grid(a=a,b=b)
>z <- unlist(sapply(seq_len(nrow(ab)), function(k)
>infcprodessa(ab[k,1],TINF,ab[k,2],ab[k,2]-TINF)))
>
>z.target <- which(z>=15 & z<=20)
>ab[z.target,]
>z[z.target]
>which.min(ab[z.target,][,"a"])
>
>Berend
>
>______________________________________________
>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.
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