Displaying 4 results from an estimated 4 matches for "x1_".
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x11
1999 Jan 21
2
scoping problem?
...n() line.
Any hint would be appreciated. -Yudi-
R : Copyright 1998, The R Development Core Team
Version 0.63.0 Beta (Nov 13, 1998) -- on WIndows3.11
fnfn _ function (m=10,n=10,spar=2)
{
fn _ function(u,v){
uc_ u-floor(m/2)-1
vc_ v-floor(n/2)-1
exp(-(uc^2 + vc^2)/2/spar^2)
}
x1_ 1:m ; x2_ 1:n
x12 _ outer(x1,x2,FUN='fn')
filt _ x12/sum(x12)
image(filt)
}
> source('fnfn.r')
> m_10; n_10; spar_2
> fnfn(m,n,spar)
Error in get(x, envir, mode, inherits) : variable "fn" was not found
------------------------------
Yudi Pawitan: yudi...
2011 Jan 03
1
Greetings. I have a question with mixed beta regression model in nlme.
...kage
in R to fit a mixed beta regression model. The details of the model are:
Suppose that:*
*j in {1, ..., J}* *(level 1)*
*i in {1, ..., n_j}* *(level 2)*
*y_{ij} ~ Beta(mu_{ij} * phi_{ij}; (1 - mu_{ij}) * phi_{ij})
y_{ij} = mu_{ij} + w_{ij}
*
*with*
*logit(mu_{ij}) = Beta_{0i} + Beta_{1i} * x1_{ij} + b2 * x2_{ij}
log(phi_{ij}) = Gamma_{0i} + Gamma_{1i} * z1_{ij} + c2 * z2_{ij}
*
*Beta_{0i} = b_0 + u_{0i}
Beta_{1i} = b_1 + u_{1i}
Gamma_{0i} = c_0 + v_{0i}
Gamma_{1i} = c_1 + v_{1i}
*
*The vector* *(u_{0i}, u_{1i})'* *has normal distribution with mean*
*(0, 0)'* *and covariance matri...
2011 Jan 03
0
Greetings. I have a question with mixed beta regression model in nlme (corrected version).
...ta regression model. In any case, here I send you the correct formulation.
**
Suppose that:*
*j in {1, ..., J}* *(level 1)*
*i in {1, ..., n_j}* *(level 2)*
*y_{ij} ~ Beta(mu_{ij} * phi_{ij}; (1 - mu_{ij}) * phi_{ij})
y_{ij} = mu_{ij} + w_{ij}
*
*with*
*logit(mu_{ij}) = Beta_{0i} + Beta_{1i} * x1_{ij} + b_2 * x2_{ij}
log(phi_{ij}) = Gamma_{0i} + Gamma_{1i} * z1_{ij} + c_2 * z2_{ij}
*
*Beta_{0i} = b_0 + u_{0i}
Beta_{1i} = b_1 + u_{1i}
Gamma_{0i} = c_0 + v_{0i}
Gamma_{1i} = c_1 + v_{1i}
*
*The vector* *(u_{0i}, u_{1i})'* *has normal distribution with mean*
*(0, 0)'* *and covariance mat...
2003 Feb 27
0
unwanted coercion of length 0 vectors (PR#2587)
...the mode of the something, regardless of
whether the coercion is necessary under normal R rules.
In particular, if NA is assigned to an element of a vector that was
previously length 0, the mode of the vector is coerced to 'logical'.
For example, here's the normal behaviour:
test> x1_ 5
test> x1[1]_ NA
test> x1
[1] NA
test> mode( x1)
[1] "numeric"
No coercion was required because 'logical' (the default mode of NA) is
"ancestral" to 'numeric'. Note also that assigning to a hitherto
non-existent element of x1, e.g. x1[2]_ NA, also does...