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giovanni parrinello
Senior Statistical Consultant at University of Brescia
Italy
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Only a confusion with two dataset with similar names...
Sorry
Giovanni
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summary(ma.dati2$death.status)<- censoring
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
0.0 0.0 0.0 0.05332 0.0 1.0 39.0
##
> summary(ma.dati2$time.death)<--- time
Min. 1st Qu. MedianMean 3rd Qu.Max.NA'
"giovanni"
[1] ".GlobalEnv"".GlobalTemp" "package:Hmisc"
"package:tools"
[5] "package:stats" "package:graphics" "package:grDevices"
"package:utils"
[9] "package:datasets&qu
channel <- odbcConnectExcel("nuova tabella terapia occupazionale mod.xls")
> ## list the spreadsheets
> sqlTables(channel)
TABLE_CAT
TABLE_SCHEM TABLE_NAME
1 c:\\TABELLE DEFINITIVE\\nuova tabella terapia occupazionale mod
Dear All,
I have found in the poly help this sentence:
The orthogonal polynomial is summarized by the coefficients, which can be
used to evaluate it via the three-term recursion given in Kennedy & Gentle
(1980, pp. 3434), and used in the predict part of the code.
My question: which type of ortho
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and provide commented, minimal, self-contained, reproducible code.
--
dr. Giovanni Parrinello
Department of Biotecnologies
Medical Statistics Unit
imal, self-contained, reproducible code.
--
dr. Giovanni Parrinello
Department of Biotecnologies
Medical Statistics Unit
University of Brescia
Viale Europa, 11 25123 Brescia
email: [EMAIL PROTECTED]
Phone: +390303717528
Fax: +390303717488
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R-help@r
Dear All,
reading an article by Rodolphe Thiebaut and Helene Jacqmin-Gadda ("Mixed
models for longitudinal
left-censored repeated measures") I have found this program in SAS
proc nlmixed data=TEST QTOL=1E-6;
parms sigsq1=0.44 ro=0.09 sigsq2=0.07 sigsqe=0.18 alpha=3.08 beta=0.43;
bounds $B!](B1<
Dear All,
I am looking for an implementation in R of the Appell Hypergeometric
function.
Any suggestions will be more than appreciated!
GP
--
dr. Giovanni Parrinello
External Lecturer
Medical Statistics Unit
Department of Biomedical Sciences
Viale Europa, 11 - 25123 Brescia Italy
Tel
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