Displaying 5 results from an estimated 5 matches for "d_1".
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d1
2010 Jan 26
3
Problem with "nls" function
...y.csv and mat.csv.
Can you please help me, it is very important for my phd thesis.
Thanks in advance.
Hammadi.
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mat<- read.csv(file="mat.csv",head=FALSE,sep=";")
y<-read.csv(file="y.csv",head=FALSE,sep=";")
Y=y[,1]
D_1=mat[,1]
D_2=mat[,2]
D_3=mat[,3]
D_4=mat[,4]
Y_1=mat[,5]
Y_2=mat[,6]
Y_3=mat[,7]
Y_4=mat[,8]
s_F=mat[,9]
s_G=mat[,10]
L.minor=data.frame(Y=Y,D_1=D_1,D_2=D_2,D_3=D_3,D_4=D_4,Y_1=Y_1,Y_2=Y_2,Y_3=Y_3,Y_4=Y_4,s_F=s_F,s_G=s_G)
stdS=1/(sd(s_F))
stdG=1/(sd(s_G))
L.minor.m1<-nls(Y~a_1_1*D_1+a_2_1*D_2+a_3...
2008 Jun 03
3
How to solve a non-linear system of equations using R
Dear R-list members,
I've had a hard time trying to solve a non-linear system (nls) of equations
which structure for the equation i, i=1,...,4, is as follows:
f_i(d_1,d_2,d_3,d_4)-k_i(l,m,s) = 0 (1)
In the expression above, both f_i and k_i are known functions and l, m and s
are known constants. I would like to estimate the vector d=(d_1,d_2,d_3,d_4)
which is solution of (1). Functions in R to estimate f_i-k_i are at the end
of this message.
Any help/sugge...
2007 Mar 09
0
GLMM in lme4 and Tweedie dist.
...ran it for several models to do later model
selection with AIC. I used the following script, where the file
"GLMM_tweedie" (line 2) has a list of all the models I want to run, each
one in the form [ x=lmer(GGgiv ~ Rank_1 + Rank_diff + DAI +
Gen_dy*Rank_diff + Gen_dy*DAI + Gen_dy + (1| D_1) + (1| D_2), family =
tweedie(var.power=1,link.power=0), offset=log(Dt), data=data) ]
data=read.csv(file="GLMM_data.csv")
> models<-read.table("GLMM_tweedie.txt", sep="\t")
> data$Ggrec_Dtlog = log(data$Ggrec_Dt+1)
> models<-as.vector(models[,1])...
2001 Oct 26
2
wilcox.test point estimates perverse (PR#1150)
The point estimates produced by wilcox.test are perverse (not wrong, just
brain damaged). The Hodges-Lehmann estimator that goes with the signed
rank test is the median of the Walsh averages. The Hodges-Lehmann estimator
that goes with the rank sum test is the median of the pairwise differences.
wilcox.test agrees except that it uses the following very peculiar definition
of "sample
2009 Jul 23
1
[PATCH server] changes required for fedora rawhide inclusion.
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