Displaying 4 results from an estimated 4 matches for "ndeaths".
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deaths
2012 Aug 21
2
Entering a table
...ness of fit test (I only have the frequencies, I don't have the
raw data).
So for example, let's say I want to re-create the HorseKicks table:
library(vcd)
data(HorseKicks)
str(HorseKicks)
'table' int [1:5(1d)] 109 65 22 3 1
- attr(*, "dimnames")=List of 1
..$ nDeaths: chr [1:5] "0" "1" "2" "3" ...
I tried this the following but it didn't work:
vex <- matrix(c(0,109,1,65,2,22,3,3,4,1), nrow=2, ncol=5)
vec <- as.table(vex)
str(vec)
table [1:2, 1:5] 0 109 1 65 2 22 3 3 4 1
- attr(*, "dimnames")=Lis...
2010 Nov 10
1
Difficult doubt about choose distances randomly in a matrix with a probability of event
I would like to build a model in R to simulate the seed dispersal by one plant.
The plant produced 5 seeds and the probability of falling inside the eight closest space was 0.8 and in the next space 0.2 and in the rest space 0:
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2003 May 07
0
Re: frailty models in survreg() -- survival package (PR#2934)
SEE ALSO ORIGINAL POSTING IN PR#2933
On May 6, 2003 03:58 pm, Thomas Lumley wrote:
>
> Looking at a wider context in the code
>
> pfun <- function(coef, theta, ndeath) {
> if (theta == 0)
> list(recenter = 0, penalty = 0, flag = TRUE)
> else {
> recenter <- log(mean(exp(coef)))
> coef <- coef - recenter
2003 May 07
0
Re: frailty models in survreg() -- survival package (PR#2934)
On Tue, 6 May 2003, Jerome Asselin wrote:
>
> I am confused on how the log-likelihood is calculated in a parametric
> survival problem with frailty. I see a contradiction in the frailty() help
> file vs. the source code of frailty.gamma(), frailty.gaussian() and
> frailty.t().
>
> The function frailty.gaussian() appears to calculate the penalty as the
> negative