rofile was the following
q <- function (save="no", ...) {
quit(save=save, ...)
}
Regards
Pietro Coretto
On 02/01/2020 23.54, Rolf Turner wrote:
On 2/01/20 9:51 pm, Pietro Coretto wrote:
No problem Rolf. Thanks for you interest. But the problem is still
unsolved!
I
On 30/12/2019 12.11, Duncan Murdoch wrote:
On 30/12/2019 5:59 a.m., Pietro Coretto wrote:
[...]
You didn't show us the command you used to install it.
Duncan Murdoch
Sorry for this,
I used the following:
install.packages("rmgarch")
from the linux command line, using both
end.
https://pastebin.com/z7ZwU9iR
I hope somebody can tell me what may cause this.
Regards
Pietro
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PLEASE do read the posting gui
Hello.
I get the error message that there are no transactions/positions to chart
despite the signals and rules that I inserted.
Can someone please help?
rm(list = ls(.blotter), envir = .blotter)
initdate <- "2010-01-01"
from <- "2012-01-01" #start of backtest
to <- "2017-31-12" #end of backtest
I apologize if the data I will insert will not be enough.
So, I am trying to run a strategy through the package Quantstrat.
install.packages("quantstrat")
My problem is that I get the following error
Error incolnames<-(tmp, value = seq(ncol(tmp_val))) :
attempt to set 'colnames' on an object w
I will try to be as clear as possible as I have been rebuked by some users. I
deleted the last questions and I will try to be sufficiently explicative in
this one. I apologize if the data I will insert will not be enough.
So, I am trying to run a strategy through the package Quantstrat.
install
Hello,
Am trying to estimate a seasonal Arima by calling the R forecast package in
Rpy2:
fit = forecast.Arima(x = h02, order = order, seasonal = seasonal)
Strangely I get the estimates of the non-seasonal part, only, even if the
model is specified as (3,0,1)x(0,1,2). Can anyone tell me where the
Thanks to all for your ideas and inspirations
Il 18/05/2014 18.35, Joshua Ulrich ha scritto:
Using subset assignment with an array usually doesn't work well with
xts/zoo objects. Your case wouldn't even work with a matrix because
you have NA in your array.
In this case, you can achieve the sam
orrect form.
As you might have imagined, this arises in the context of simulating random
variables from different distribution in empirical form that are correlated
through a copula.
Thanks in advance for your help!
Pietro
_
___
olumn which does not have any missing values.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: Pietro [mailto:freeri...@gmail.com]
> Sent: Tuesday, March 19, 2013 6:1
93.1 ...
$ m : num 128 127 126 129 130 ...
$ n : num NA NA NA NA NA NA NA NA NA NA ...
$ o : num 133 133 133 133 133 ...
$ p : num 107 107 107 107 107 ...
---
David
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.o
Yes, it's true Berend!
What i do is simply use read.xlsx function
db <- read.xlsx2("c:/mydb.xlsx",1,as.data.frame=T)
This is excel file i use:
http://dl.dropbox.com/u/102669/mydb.xlsx
I can't find a way to import as numeric.
My objective is to be able to work (in R) with my NA's
At 18.46 1
Jim
I tried that and it works. Thank you very much for your help!
Regards
Pietro
-Original Message-
From: jim holtman [mailto:jholt...@gmail.com]
Sent: 04 November 2011 13:38
To: Parodi, Pietro
Cc: r-help@r-project.org
Subject: Re: [R] Counting number of common elements between the
ere an efficient, clean way to do the same job and give as an
output a matrix N_A x N_B such as that above?
Thanks a lot for your help
Regards
Pietro
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For information pertaining to Willis' email confidentiality and moni
n the empirical density distribution function.
I have done some research on this but the only relevant thing I've found
is the function "integrate", which however gives me the sum of the whole
vector not the step-wise sum.
Thanks fo
Dxy X1
Dxy X2
1.582520e+05 9.955490e-01 9.762611e-01 9.910979e-01
9.525223e-01
Should I manually calculate the U statistics interpreting the fraction "x1 more
concordant" and "x2 more concordant" of the "Relevant Pairs&
Hello,
I'm struggling with an elementary problem with R. I have a simple data
frame such as this one giving the number of accidents subdivided by sex,
age and region.
sex age region no_of_accidents
F young north 10
F young south 12
F o
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