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ucredit
2011 May 04
3
join tables in R
I'd to match-merge 2 tables in such a manner that I keep all the rows in table 1, but not the rows that are in both table 1 and 2.
Thank you for your help,
Alfredo
> master <- data.frame(ID=2001:2011)
> train <- data.frame(ID=2004:2006)
> valid <- ???
in this example table valid should have the following
> str(valid)
Year: int 2001 2002 2003 2007 2008 2009 2010 2011
2005 Jul 04
2
RESIDUALS IN THE AR TIME SERIES FUNCTION
Dear all,
It's possible to obtain the residuals with AR time series function.
Thanks in advance,
Massimiliano Talarico
Pianificazione Commerciale - Area Crm
Unicredit Xelion Banca S.p.A.
Via Pirelli 32 - 20124 Milano
Tel.: 02 67360 525
Fax: 02 67738 525
www.xelion.it
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2016 Jul 05
4
R-3.3.1 RPM release
Hi All,
I have installed on a RHEL 5.7 server the recent R-3.3.0 rpm but I would like to upgrade to the latest now available R-3.3.1 . I have not found so far the rpm, I would like to know if and when it will be available?
Thanks in advance,
Cris
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2007 Jul 17
1
Optimization (MAX) with R
Dear all,
I need a suggest to obtain the max of this function:
Max x1*0.021986+x2*0.000964+x3*0.02913
with these conditions:
x1+x2+x3=1;
sqrt((x1*0.114434)^2+(x2*0.043966)^2+(x3*0.100031)^2)=0.04;
x1>=0;
x1<=1;
x2>=0;
x2<=1;
x3>=0;
x3<=1;
Any suggests ?
Thanks in advanced,
Massimiliano
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2012 Mar 06
0
milanoR
...-20122 Milano
www.fiorioscuri.it
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Andrea Spano'
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Past, present and future of R
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Department of Economics, Business and Statistics, University of Milan and R
Development Core Team
R and Operational Risk
Fabio Piacenza,
Group Risk Management (CRO) Unicredit S.p.A.
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2010 Nov 25
2
aftreg vs survreg loglogistic aft model (different intercept term)
Hi, I'm estimating a loglogistic aft (accelerated failure time) model, just a
simple plain vanilla one (without time dependent covariates), I'm comparing
the results that I obtain between aftreg (eha package) and survreg(surv
package). If I don't use any covariate the results are identical , if I add
covariates all the coefficients are the same until a precision of 10^4 or
10^-5 except