Displaying 20 results from an estimated 6000 matches similar to: "Problem with PPC packages on Intel Mac"
2004 May 17
0
ld warning when installing packages with dll/so
Hi All,
When installing a package using C/Fortran routines I get a large of the
following ld warnings:
ld: warning multiple definitions of symbol _adler32
/Library/Frameworks/R.framework/R(adler32.o) definition of _adler32
/usr/lib/libz.1.dylib(adler32.o) definition of _adler32
ld: warning multiple definitions of symbol _BC
2010 Mar 12
1
Problem installing new packages
Hi everyone,
Using R 2.10.1 on Windows Vista.
DOWNLOADED PACKAGES DO NOT INSTALL. I expect to see them in C:\Program
Files\R\R-2.10.1\library These files download (see below). And they are
all in zip format. What am I doing wrong? Please help. All suggestions
appreciated.
trying URL
'http://cran.cnr.Berkeley.edu/bin/windows/contrib/2.10/RColorBrewer_1.0-2.zip'
Content type
2001 Oct 11
2
Where's MVA?
Hi All:
Package TSERIES is stated to depend on MVA. However, there is no MVA package to be found under the list of package sources.
Best wishes,
ANDREW
tseries: Package for time series analysis
Package for time series analysis with emphasis on non-linear and non-stationary modelling Version: 0.7-6
Depends: ts, mva, quadprog
Date: 2001-08-27
Author: Compiled by Adrian
2005 May 03
0
R on Mac OS X: odd errors when doing install.packages()
Should I be worried? The installation seems to go through fine and
apparently nothing is broken. The errors I repeatedly get are like this:
g++ -no-cpp-precomp -I/Library/Frameworks/R.framework/Resources/include -I/usr/
local/include -DUNIX -DOPTIM -DNONR -fno-common -g -O2 -c unif.cpp -o unif.o
g++ -bundle -flat_namespace -undefined suppress -L/usr/local/lib -o rgenoud.so c
hange_order.o
2017 Dec 26
1
Time Series with Neural Networks
Hi,
I am would like to ask few questions.
I am trying to forecast hourly electricity prices by 24 hours ahead.
I have hourly data starting from 2015*12*18 to 2017-10-24
and I have defined the data as time series as written in the code below.
Then I am trying do neural network with 23 non-seasonal dummies and 1 seasonal dummy.
But I don?t know whether training set is enough.( Guess it is 50
2012 Jul 26
0
Using pspline in bic.surv of BMA package
Hi,
I'm trying to using pspline in bic.surv{BMA}.
#############################
library(BMA)
library(survival)
data(veteran)
test.bic.surv<- bic.surv(Surv(time,status) ~ karno+pspline(age,df=3)+diagtime+prior, data = veteran, factor.type = TRUE)
summary(test.bic.surv, conditional=FALSE, digits=2)
#############################
The results are:
2017 Nov 02
0
Cox Regression : Spline Coefficient Interpretation?
Always reply to the list. I do not do private consulting.
(I have cc'ed this to the list).
I still think this belongs on stackexchange, not r-help. I think you need
to read up on the mathematics of spline bases.
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his
2003 Apr 01
2
predict in Pspline package (PR#2714)
To whom it may concern,
I don't know whether this is really a bug with the Pspline package or
only a problem with my installation. Things work fine in Linux but
not in Mac OS X (Darwin). Both system run the latest public versions
of R and Pspline.
predict.smooth.Pspline produces only NaN instead of predicted values
when norder>2:
> library (Pspline)
> tt <- seq
2003 Jan 22
1
something wrong when using pspline in clogit?
Dear R users:
I am not entirely convinced that clogit gives me the correct result when I
use pspline() and maybe you could help correct me here.
When I add a constant to my covariate I expect only the intercept to change,
but not the coefficients. This is true (in clogit) when I assume a linear in
the logit model, but the same does not happen when I use pspline().
If I did something similar
2005 Feb 05
2
Problem installing Hmisc (more info)
Frank Harrell suggested I re-post with information about the version of
R
Heres's the information:
> > version
> _
> platform powerpc-apple-darwin6.8
> arch powerpc
> os darwin6.8
> system powerpc, darwin6.8
> status
> major 2
> minor 0.1
> year 2004
> month 11
> day 15
> language R
Here's what happens
2004 Nov 01
2
Compilation error on mgcv_1.1-7 on OS X (10.3)
Greetings
I run into a compilation error when updating to mgcv_1.1-7 in R 2.0.0 on
OS X 10.3. Note that other pacakges have compiled nicely.
Some details are given below, but in short it looks like it's seeking for
/usr/local/lib/powerpc-apple-darwin6.8/3.4.2/
which I don't have. But I do have
/usr/lib/gcc/darwin/3.3
i.e a lower version of GCC in a different directory. More
2004 May 12
1
convert.times in chron, error when 59 < seconds < 60 (PR#6878)
Full_Name: Dennis Wolf
Version: 1.9.0
OS: Mac OS 10.3.3
Submission from: (NULL) (160.91.76.23)
platform powerpc-apple-darwin6.8
arch powerpc
os darwin6.8
system powerpc, darwin6.8
status
major 1
minor 9.0
year 2004
month 04
day
2013 Feb 28
2
predict.smooth.Pspline function not found
I have a simple question that irritatingly I haven't been able to figure
out on my own. It seems that some functions from the "Pspline" package are
successfully installed while others are not. The code with which I'm
working is more complicated, but the following highlights my problem. If I
run the following code
> tt <- seq (0,1,length=20)
> xt <- tt^3
> fit
2017 Nov 01
3
Cox Regression : Spline Coefficient Interpretation?
Hi,
I'm using a Cox-Regression to estimate hazard rates on prepayments.
I'm using the "pspline" function to face non-linearity, but I have no clue
how to interpret the result.
Unfortunately I did not find enough information on the "pspline" function
wether in the survival package nor using google..
I got following output:
* library(survival)*
>
>
>
>
2010 Nov 29
1
Evaluation of survival analysis
Dear all,
May I ask is there any functions in R to evaluate the fitness of "coxph" and
"survreg" in survival analysis, please?
For example, the results from Cox regression and Parametric survival
analysis are shown below. Which method is prefered and how to see that / how
to compare the methods?
1. coxph(formula = y ~ pspline(x1, df = 2))
2010 Apr 19
0
Natural cubic splines produced by smooth.Pspline and predict function in the package "pspline"
Hello,
I am using R and the smooth.Pspline function in the pspline package to
smooth some data by using natural cubic splines. After fitting a
sufficiently smooth spline using the following call:
(ps=smooth.Pspline(x,y,norder=2,spar=0.8,method=1)
[the values of x are age in years from 1 to 100]
I tried to check that R in fact had fitted a natural cubic spline by
checking that the resulting
2002 Nov 25
2
Pspline smoothing
Dear all,
I'm trying to use the Pspline add-on package to fit a quintic spline
(norder =3), but I keep running into a Singularity error.
> traj.spl <- smooth.Pspline(time, x, norder=3 )
Error in smooth.Pspline(time, x, norder = 3) :
Singularity error in solving equations
>
Playing around with the other parameters produces an "unused arguments" error:
> traj.spl
2004 Mar 19
0
osx/fink: cannot do "R INSTALL" (library mixup)
Hello friends. I've just switched from linux to osx, and I'm liking
it, except now that I'm getting down to brass tacks, and needing to
install some R packages, I'm at a roadblock. I'm hoping someone can
help.
My R is installed from a .dmg, and resides as follows:
$ which R
/usr/local/bin/R
The problem is that I cannot build packages. For example, see the
below (which
2002 Jul 20
0
libvorbis 1.0 compile time err.
Hi there I get the following err. while compiling libvorbis:
gcc -O20 -ffast-math -mno-ieee-fp -D_REENTRANT -fsigned-char
-DUSE_MEMORY_H
-static -o decoder_example decoder_example.o ../lib/.libs/libvorbis.so
-L/usr/lib -lm /usr/lib/libogg.so -Wl,--rpath
-Wl,/mnt/gnu/source/console/libs/libvorbis/libvorbis-1.0/lib/.libs
/lib/ld-linux.so.2(*IND*+0x0): multiple definition of ^__xstat64'
2011 Apr 06
1
help on pspline in coxph
Hi there,
I have a question on how to extract the linear term in the penalized
spline in coxph. Here is a sample code:
n=100
set.seed(1)
x=runif(100)
f1 = cos(2*pi*x)
hazard = exp(f1)
T = 0
for (i in 1:100) {
T[i] = rexp(1,hazard[i])
}
C = runif(n)*4
cen = T<=C
y = T*(cen) + C*(1-cen)
data.tr=cbind(y,cen,x)
fit=coxph(Surv(data.tr[,1],