Displaying 6 results from an estimated 6 matches for "miksanta".
2009 Jan 18
6
read a xls file
Hello,
i have a xls file. I will read it in r, what library-command i use for
this??
any ideas??
Thanks
Michele
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2009 Sep 02
1
a question for beginner
Hello,
i have this dataset http://www.umass.edu/statdata/statdata/data/pharynx.txt.
the variables GRADE, T_STAGE anda N_STAGE are qualitative or quantitative
variables???
i only have this simple doubt...!
another example: why in the dataset ovarian (library survival) the variable
ecog.ps: ECOG performance status (1 is better, see reference) it is
consider quantitative?
Thank's for
2009 Jan 28
1
StepAIC with coxph
Hi,
i'm trying to apply StepAIC with coxph...but i have the same error:
stepAIC(fitBMT)
Start: AIC=327.77
Surv(TEMPO,morto==1) ˜ VOD + SESSO + ETA + ........
Error in dropterm.default(fit,scope$drop, scale=scale,trace=max(0, :
number of rows in use has changed: remove missing values?
anybody know this error??
Thanks.
Michele
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2009 Jan 28
2
t.test in a loop
Hi All,
I've been having a little trouble with creating a loop that will run a a
series of t.tests for inspection,
Below is the code i've tried, and some checks i've looked at.
I've used the get(paste()) idea as i was told previously that the use of the
eval should try and be avoided.
I've run a single syntax to check that my systax is correct and works
without any problems
2008 Jul 02
0
error on predict
Hi,
i have this glm:
shuttle.glm.test <-
glm(cbind(r,m-r)~temperature,family=binomial,data=shuttle)
and when i try to find a probability of var r (with temperature=31 and
pressure=200):
predict(shuttle.glm.test,data.frame(temperatura=31,pressure=200),type="response",se=T)
i have this error:
Warning message:
'newdata' had 1 rows but variable(s) found have 23 rows
why??
2009 Jan 21
1
X matrix deemed to be singular;
Hello,
i'm tring to use a cox's model for a survival analysis. I have a dataset,
this is a part:
VOD SESSO fonte_sct donor RT_CGY STATOBMT TEMPO morto
1 0 F mid related 1200
CP 65 1
2 0 M mid 1200
2RC 5281 0
3 0 M mid unrelated 1200