Displaying 5 results from an estimated 5 matches for "densite".
Did you mean:
density
2007 Aug 04
2
multiple nls - next fit even after convergence problem
...surf.vert.tot-90),na.rm=T)]),data=tab,control=list(maxiter=100))
rmse.log<-sqrt(mean(residuals(fit.log)^2))
rmse.exp<-sqrt(mean(residuals(fit.exp)^2))
rmse.gomp<-sqrt(mean(residuals(fit.gomp)^2))
data.frame(rmse.log=rmse.log,rmse.gomp=rmse.gomp,rmse.exp=rmse.exp,semis=unique(tab$semis),densite=unique(tab$densite),traitement=unique(tab$traitement),bloc=unique(tab$bloc),num.feuille.def=unique(tab$num.feuille.def))
}
I've thought of just storing the 3 model results in a list, and then going through each model object,
but even then, when I have a convergence problem, the function break...
2008 Jul 22
4
Function Error
Hi,
Why this function doesn't work?
function (x)
{
if (is.factor(x)) {
if (!is.ordered(x)) {
warning("La mediana non si puo' calcolare!!!")
return(NA)
}
me <- median(unclass(x))
if (me - floor(me) != 0) {
warning("Mediana indeterminata")
return(NA)
}
else
2000 Aug 28
2
Windows / RODBC / Accented characters
A disturbing behaviour of R: an import of data using RODBC library
(Windows 98, R 1.1.1) recognizes accented characters in variables
names but these can't be manipulated further. See below:
> library(Rodbc)
> ch<-odbcConnect("Paradox Files")
> pollut<-sqlFetch(ch,Pollutio)
> pollut
Mortalit? Densit? Pollution
1 82 600 110
2 97 960
2004 Jul 22
2
Programmation pour MLE
Bonjour,
Je veux cherché l’estimateur de vraisemblance maximal (MLE)d’une fonction à 3 paramètre inconue étant donné une échantillon de taille 50 (les observations des valeurs de x) alors comment je peux procédé
La fonction de densité est définie par :
f(x)= 1/3(g(a1)+g(a2)+g(a3))
avec g(ai)=(exp(ai)*ai^x)/x! pour i=1,2,3.
Je vous remercie beaucoup.
A. Elhabti
2000 Nov 17
2
hist() and density
There were some questions about hist() a couple of days ago which
triggered this post. My question/suggestion is about the y-axis in hist.
There are reasons to prefer making the y-axis density=relative
frequency/bin width. One reason is that the height of the plot does not
depend on the bin width; another is that if your histogram is in density
then you can easily superimpose a smooth theoretical