Displaying 7 results from an estimated 7 matches for "lfit".
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2012 Jun 05
1
model.frame and predvars
...nd lm does not.
I use a call to model.frame in predict.coxph, which is why I went that
route, but never noted the difference till now (preparing for my course
in Nashville).
Could someone shed light on the rationale for non-preservation?
Terry T.
Simple example
> library(survival)
> lfit <- lm(time ~ factor(ph.ecog) + ns(age, 3), data=lung)
> ltemp <- model.frame(lfit, data=lung[1:2,])
> ltemp
time factor(ph.ecog) ns(age, 3).1 ns(age, 3).2 ns(age, 3).3
1 306 1 -0.1428571 0.4285714 0.7142857
2 455 0 0.0000000 0.0000000...
2010 Apr 06
0
Strange error
...get an error I have
never seen before.
fit <- lmekin(icam1 ~ factor(center) + age + factor(sex),
random= ~1|iid, data=chaidata, varlist=kmat)
Error in Y - fitted : non-numeric argument to binary operator
Add the recover option, and the offending lines are
fitted <- c(X %*% lfit$coef) #fitted, on the original scale
residuals <- Y - fitted
> options(error=recover)
> fit <- lmekin(icam1 ~ factor(center) + age + factor(sex),
+ random= ~1|iid, data=chaidata, varlist=kmat)
Error in Y - fitted : non-numeric argument to binary operator
Enter a fra...
2012 Feb 03
1
coxme with frailty--variance of random effect?
Dear all,
This probably stems from my lack of understanding of the model, but I
do not understand the variance of the random effect reported in coxme.
Consider the following toy example:
#------------------------------- BEGINNING OF CODE
------------------------------------------------
library(survival)
library(coxme)
#--- Generate toy data:
d <- data.frame(id = c(1:100), #
2009 Jun 29
0
nlsList {nlme} - control arguments problem
...t;port", convergence message: relative convergence (4)
##################################
### nlsList analysis
........................................................................................
### Boundary condition on dplt is not enforced
.............................................
Lfit.nls ? ?<- nlsList(y~SSpowrDplt(trial,min,dplt,dif,p),data=df.gr,control=list(algorithm='port',lower=c(0.0,0.0,0.0,-10),maxiter=100))
...... example output.......
>Call:
> ?Model: y ~ SSpowrDplt(trial, min, dplt, dif, p) | id
> ? Data: df.gr
>Coefficients:
> ? min
> ?E...
2010 Apr 15
0
nlsList {nlme} - control arguments problem
...ative convergence (4)
> ##################################
>
> ### nlsList analysis
> ........................................................................................
> ### Boundary condition on dplt is not enforced
> .............................................
>
> Lfit.nls &n! bsp; <-
> nlsList(y~SSpowrDplt(trial,min,dplt,dif,p),data=df.gr,control=list(algorithm='port',lower=c(0.0,0.0,0.0,-10),maxiter=100)
>
> ...... example output.......
>Call:
> Model: y ~ SSpowrDplt(trial, min, dplt, dif, p) | id
> Data: df.gr
>
>Coef...
2013 Jun 05
0
Survival aareg problem
On 06/05/2013 12:33 AM, r-help-request at r-project.org wrote:
> Dear friends - I'm on windows 7, R 2.15.2
>
> when I run the example for aareg in survival package I see this:
>
> plot(lfit[4], ylim=c(-4,4))
> error in xy.coords(x, y, xlabel, ylabel, log) :
> 'x' is a list, but does not have components 'x' and 'y'
>
> Is that a matter of an old R?
>
> Best wishes
>
> Troels Ring, MD
> Aalborg, Denmark
It's an error in the sur...
2010 Feb 17
1
Checking the assumptions for a proper GLM model
Hello,
Are there any packages/functions available for testing the assumptions
underlying assumptions for a good GLM model? Like linktest in STATA
and smilar. If not, could somebody please describe their work process
when they check the validity of a logit/probit model?
Regards,
Jay