similar to: RODBC sqlSave Error

Hello, I guess a have a very simple problem though up to now couldn't solve it: I want to plot two datasets wihtin one plot like plot(x) provides it for one dataset(type="b" that is: points connected by lines). Example data 'x': Befragung1 Befragung2 Befragung3 Geschlecht 2.25 2.34 1.78 weiblich 1.34 3.45 2.23 maennlich The two rows of the example above

my dataset looked like this in the beginning: >Daten V1 V2 V3 1 Dosis Gewicht Geschlecht 2 0 6.62 m 3 0 6.65 m 4 0 5.78 m 5 0 5.63 m I need box plots for V2 with all combination of V1 and V3, so I deleted the first row, and tried this: boxplot(Daten$V2[Daten$V3=="m"]) but it does not work and I

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[1]Click here to unsubscribe if you no longer wish to receive our emails Dear Recruiter, Here is our Direct client requirement which can be filled immediately. Kindly respond to this requirement with your consultant resume, contact and current location info to speed up the interview process. [2]Click here to submit for this position online and to speed up the

Hi, if i have data in the following time series format: time, amount, state 1 2222 A 1 333 B 2 45 A 2 77 B where states could be n and time periods t is there a package in R that would calculate the transition probabilities in a markov chain. for each t except t=0 to generate A B A B perhaps the best structure might

Automatisch generierte Meldung ! ################################ Hallo, leider wurde die von Ihnen verwendete EMail-Adresse 'r-devel@r-project.org' in unseren Datenbanken (Bewerber/Firmen-Ansprechpartner) nicht gefunden. Ihre Userdaten k?nnen Sie auch ?ber unsere Homepage www.alma-mater.de unter Hilfe/Passwort direkt abfragen. Bitte verwenden Sie als Absendeadresse die

Dear list subscriber, suppose, I do have a minimal Sweave file 'test.Rnw': \documentclass{article} \begin{document} <<printx>>= x @ \end{document} Within R, I define the following function: f <- function(x){ Sweave("test.Rnw") } The call: f(x = 1:10) results in the following error message: > f(x = 1:10) Writing to file test.tex Processing code chunks

Dear list subscriber, I am quite puzzled by the behaviour of processing Sweave files within an R session, i.e. Sweave("foo.Rnw") versus R CMD Sweave foo.Rnw In the former the environmental variable 'SWEAVE_STYLEPATH_DEFAULT = TRUE' is obeyed (this is set in etc/Renviron.site as well as under the users home directory in .Renviron). That is the hard-coded path to Sweave.sty is

Hi all, I apologize if this subject has been discussed before. I recently wrote a small add-on for XBMC Media Centre (www.xbmc.org) which allows the users to listen to Icecast radio stations. My primary source of information is the yp.xml file. While the yp.xml file is UTF-8 there seem to be some entries with broken UTF-8 (which most often looks like multiple-encoded UTF-8, but with one

I'm trying to get working a simulator. I use wine + wondows. The prgram runs quite welle Bit I get an error when accessing the com1 port (the game adapter is a serial one) This worked with wine 20040914 but is now broken. Here is the comm trace: [jm@localhost AeroFly Professional]$ WINEDEBUG="comm" wine afpro Please use the registry key HKEY_CURRENT_CONFIG\Software\Fonts\LogPixel to

Folks, What is the best way to simulate values from a fitted "VAR {vars}" model. Also I have tried to use SVAR for a cointegration fit of y~x (just two univariate time-series) but I can't figure out how to set up the "A" matrix so that x_t can be used as a contemporaneous predictor of y_t. Thanks much for your time, KW -- [[alternative HTML version deleted]]

On Tue, May 21, 2019 at 07:07:08PM +0530, Pankaj Gupta wrote: > diff --git a/include/uapi/linux/virtio_pmem.h b/include/uapi/linux/virtio_pmem.h > new file mode 100644 > index 000000000000..7a3e2fe52415 > --- /dev/null > +++ b/include/uapi/linux/virtio_pmem.h > @@ -0,0 +1,35 @@ > +/* SPDX-License-Identifier: GPL-2.0 OR BSD-3-Clause */ > +/* > + * Definitions for

Hello all, I would like to carry out a single-equation approach of the Error Correction Model such as Delta_y(t) = a + b*y(t-1) + c*x1(t-1) + d*x2(t-1) + e*delta_x1(t) + f*delta_x2(t) + epsilon(t) Where, a, b, c, d, e, f are coefficients to be estimated, y is the dependent variable, and x1, x2 are independent variables. For the single equation approach of ECM, there is a requirement of the