Re: [R] adding multiple fitted curves to xyplot graph

From: Gabor Grothendieck <ggrothendieck_at_gmail.com>
Date: Thu 17 Aug 2006 - 00:50:48 EST

Try this after displaying the xyplot:

# this fit.curve returns the whole nls object, not the coefs fit.curve<-function(tab) {

       nls(y1 ~ 100/(1+exp(((-log(81))/a)*(x1-b))), start=list(a=min(tab$x1[tab$y1>76],na.rm=T)-max(tab$x1[tab$y1<15],na.rm=T),b=tab$x1[abs(tab$y1-50)==min(abs(tab$y1-50),na.rm=T)][!is.na(tab$x1[abs(tab$y1-50)==min(abs(tab$y1-50),na.rm=T)])]),data=tab) }

trellis.focus("panel", 1, 1)
f <- function(x) panel.lines(x$x1, fitted(fit.curve(x)), col = 1) junk <- by(df, df$factor1, f)
trellis.unfocus()

On 8/16/06, GOUACHE David <D.GOUACHE@arvalisinstitutduvegetal.fr> wrote:
> Hello RHelpers,
>
> This may already have been answered, but despite days of scouring through the archives I haven't found it.
> My goal is to add multiple fitted curves to a plot.
> An example data set (a data frame named df in following code) is:
>
> x1 y1 factor1
> 4 1298.25 0.00000000 1
> 5 1393.25 0.00000000 1
> 6 1471.50 0.04597701 1
> 7 1586.70 2.56908046 1
> 8 1692.10 11.14080460 1
> 9 1832.55 45.50459770 1
> 10 1928.30 65.56000000 1
> 11 2092.40 100.00000000 1
> 31 1202.90 0.00000000 2
> 41 1298.25 0.00000000 2
> 51 1393.25 0.37885057 2
> 61 1471.50 0.76839080 2
> 71 1586.70 7.75206897 2
> 81 1692.10 50.19448276 2
> 91 1832.55 94.08045977 2
> 101 1928.30 100.00000000 2
> 111 2092.40 100.00000000 2
> 14 1028.50 0.11111111 3
> 22 1106.40 0.04938272 3
> 32 1202.90 0.03448276 3
> 42 1298.25 0.34482759 3
> 52 1393.25 1.43850575 3
> 62 1471.50 1.96850575 3
> 72 1586.70 36.80597701 3
> 82 1692.10 92.83390805 3
> 92 1832.55 100.00000000 3
> 15 1028.50 0.09638554 4
> 23 1106.40 0.39988506 4
> 33 1202.90 0.49321839 4
> 43 1298.25 1.66045977 4
> 53 1393.25 7.51137931 4
> 63 1471.50 42.02724138 4
> 73 1586.70 99.12068966 4
> 83 1692.10 100.00000000 4
>
> I plot this with xyplot:
>
> trellis.par.set("background","white")
> trellis.par.set(list(superpose.symbol=list(pch=c(15:17,21,25))))
> xyplot(y1 ~ x1, data=df, groups=factor1,
> type = "p",
> auto.key =
> list(space = "right", points = TRUE, lines = FALSE))
>
> For each level of factor1 I fit a growth curve:
>
> fit.curve<-function(tab)
> {
> res.fit<-nls(y1 ~ 100/(1+exp(((-log(81))/a)*(x1-b))), start=list(a=min(tab$x1[tab$y1>76],na.rm=T)-max(tab$x1[tab$y1<15],na.rm=T),b=tab$x1[abs(tab$y1-50)==min(abs(tab$y1-50),na.rm=T)][!is.na(tab$x1[abs(tab$y1-50)==min(abs(tab$y1-50),na.rm=T)])]),data=tab)
> coef(res.fit)
> }
> by(df,list(df$factor1),fit.curve)
>
> I would like to add the 4 curves corresponding to these 4 fits to my graphic.
> The elegant way would be a custom panel function I suppose, but I haven't been able to write one up...
> Could someone help me out on this please?

>
> In advance thanks very much!!!
>
> David Gouache
> Arvalis - Institut du Végétal
> Station de La Minière
> 78280 Guyancourt
> Tel: 01.30.12.96.22 / Port: 06.86.08.94.32
>
> ______________________________________________
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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.
>



R-help@stat.math.ethz.ch 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. Received on Thu Aug 17 01:00:14 2006

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