Displaying 9 results from an estimated 9 matches for "lot1".
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2010 Sep 02
1
Help on glm and optim
...t; using an example from the help page of "glm", but I could not get the "optim" function to work. Would you please point out where I did wrong? Thanks a lot.
The following is the code:
# Step 1: fit the glm
clotting <- data.frame(
u = c(5,10,15,20,30,40,60,80,100),
lot1 = c(118,58,42,35,27,25,21,19,18),
lot2 = c(69,35,26,21,18,16,13,12,12))
fit1 <- glm(lot1 ~ log(u), data=clotting, family=Gamma)
# Step 2: use optim
# define loglikelihood function to be maximized over
# theta is a vector of three parameters: intercept, cofficient for log(u) and dispersion p...
2011 Nov 24
1
what is wrong with this dataset?
> d = data.frame(gender=rep(c('f','m'), 5), pos=rep(c('worker', 'manager',
'speaker', 'sales', 'investor'), 2), lot1=rnorm(10), lot2=rnorm(10))
> d
gender pos lot1 lot2
1 f worker 1.1035316 0.8710510
2 m manager -0.4824027 -0.2595865
3 f speaker 0.8933589 -0.5966119
4 m sales 0.4489920 0.4971199
5 f investor 0.9246900 -0.7531117
6 m worker...
2010 Feb 15
1
Extract values from a predict() result... how?
...m [1:9] 0.00814 0.01877 0.025 0.02941 0.03563 ...
- attr(*, "names")= chr [1:9] "1" "2" "3" "4" ...
I got from:
# A Gamma example, from McCullagh & Nelder (1989, pp. 300-2)
clotting <- data.frame(
u = c(5,10,15,20,30,40,60,80,100),
lot1 = c(118,58,42,35,27,25,21,19,18),
lot2 = c(69,35,26,21,18,16,13,12,12))
model <- glm(lot1 ~ log(u), data=clotting, family=Gamma)
res <- predict(model, clotting)
I want to transfer the probabilities "0.00814 0.01877 0.025 0.02941
0.03563 ..." to a separate vector, how do I do th...
2010 Sep 10
0
[LLVMdev] using GCC LTO files as a frontend to dragonegg?
...h GCC, it is possible to compile GIMPLE from an object file back to
> assembly. With Dragonegg, it seems to be a NOP. (See below for a
> comparison.)
>
> This appears it could be a nice way to mix the strengths of GCC and
> LLVM. If it worked.. Should it?
I can't remember if lot1 (gcc's lto compiler) can load plugins, but if
it can, dragonegg can probably be made to work with it.
But if that is the case, I also don't see much difference in the
result you would get from using dragonegg with the original FE. I
think it plugs itself in the same spot the regular gcc wr...
2007 Aug 19
1
can't find "as.family" function
Hi R users,
I want to use dglm Package.
I run the examples and it give me an error:
Error en dglm(lot1 ~ log(u), ~1, data = clotting, family = Gamma) :
no se pudo encontrar la funci?n "as.family"
dglm can't find "as.family" function
why ?
Thank you for your help
2009 Feb 24
2
Syntax in taking log to transfrom the data to fit Gaussian distribution
Hi,
I have a data set (weight) that does not follow the Gaussian (Normal)
distribution. However, I have to transform the data before applying the
Gaussian distribution. I used this syntax and used log(weight) as:
posJy.model<-glm(log(weight) ~ factor(pos),
family=gaussian(link='identity'), subset=Soil=="Jy"). This syntax COULD NOT
transform the data. But if I transform the
2010 Sep 10
4
[LLVMdev] using GCC LTO files as a frontend to dragonegg?
Hello,
With GCC, it is possible to compile GIMPLE from an object file back to
assembly. With Dragonegg, it seems to be a NOP. (See below for a
comparison.)
This appears it could be a nice way to mix the strengths of GCC and
LLVM. If it worked.. Should it?
Thanks,
Marcus
[mdaniels at dn002 dragonegg]$ cat hello.c
#include <stdio.h>
int hello () { printf ("Hello
2012 Aug 10
1
plotting profile likelihood curves
...the likelihood so that I have a curve that maxes at the parameter
estimate. I am not sure where I find those likelihood values? I may just
be misinterpreting the theory behind this. Thanks for any help you can give.
Max
clotting <- data.frame(
+ u = c(5,10,15,20,30,40,60,80,100),
+ lot1 = c(118,58,42,35,27,25,21,19,18),
+ lot2 = c(69,35,26,21,18,16,13,12,12))
glm(lot2 ~ log(u), data=clotting, family=Gamma)
prof<-profile(glm2)
plot(prof)
[[alternative HTML version deleted]]
2007 Aug 21
2
Partial comparison in string vector
...9;t find "as.family" function
To: r-help at stat.math.ethz.ch
Message-ID: <46C84066.6040108 at sinu.unicordoba.edu.co>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Hi R users,
I want to use dglm Package.
I run the examples and it give me an error:
Error en dglm(lot1 ~ log(u), ~1, data = clotting, family = Gamma) :
no se pudo encontrar la funci?n "as.family"
dglm can't find "as.family" function
why ?
Thank you for your help
------------------------------
Message: 4
Date: Sun, 19 Aug 2007 16:00:36 +0100 (BST)
From: Prof...