similar to: Default for bin limits in hist()

Hi, I recently found the MNP package. Out of curiosity, I tried to reproduce results from Greene (Econometric Analysis, fourth edition) on page 874. The signs of the estimates are all opposite those of Greene's table. Might anyone be able to tell me what I am doing wrong? I have attached the function call, the coefficients, and a few rows of the data. The dataset has 210 observations.

Dear R users, I'm estimating a two-level regresion model but having difficuly in finding a good R syntax example. Let me use an example to explain what I'm doing. The dependent variable is math score (mathscore). Predictors are at two levels. At the student level, they are household income (hinc) and IQ (IQ). At the school level, there is a dummy variable indicating if the school is a

Hello Everyone,   This is my first attempt to do something in R. As a precursor to a Willingness to Pay analysis, I want to conduct a Mixed Conditional Logit analysis but am unsure how to proceed because of some nesting within my data.   Below is some data and code that illustrate what I’m trying to do. The data are based on responses to a conjoint survey obtained during pilot testing. In the

Hello, Below is some example code that should reproduce an error I'm encountering while trying to create a tiff plot with two subplots. If I run just the following bit of code through the R GUI the result is what I'd like to have appear in the saved tiff image: x<-seq(0:20) y<-c(1,1,2,2,3,4,5,4,3,6,7,1,1,2,2,3,4,5,4,3,6) plot(x,y,type="l",las=1,ylim=c(0,12))

Hello R-users, I am new to R-commands. I have two sets of data: x <- c(7, 7 , 8, 9, 15, 17, 18) y <- c(7, 8, 9, 15, 17, 19, 20, 20, 25, 23, 22) I have used 'cut' command to seperate them as follows a <- cut(x, breaks =c(0,5,10,20,25,30)) b <- cut(y, breaks =c(0,5,10,20,25,30)) > table(a) a (0,5] (5,10] (10,20] (20,25] (25,30] 0 4 3 0

Dear R-helpers, I am using a vrtest on time series data. My commands are as follows; read.table("B.txt",sep="\t",fill=TRUE, na.strings = "NA") require(vrtest) rm(list=ls(all=TRUE)) datamat <- read.table("B.txt",sep="\t",fill=TRUE, na.strings = "NA") column <- 1 nob <- nrow(datamat) y <-

Here are some very small header patches to make header dependencies less visible. If other developers would like to use cxref to produce cross-referenced html source, I can post a Makefile to do this. Sorry about not being able to send it as an attachment. You can also get it at http://216.164.32.243/~kruus/vorbis/ for now, but my net connection is slow. 'cxref' suits my purposes,

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Hi I am trying to estimate bottom temperatures over a particular depth range, based on one dataset containing synthetic temperature profiles (for set depths) and another that contains information on bathymetry. I need to do this for multiple regions and thus would ideally like an automated solution that is quicker and more accurate than the manual option I currently have! I have not had much luck

The attached patch adds support for array sessions, project id's, and system audit trail id. Arrays are available at least on UNICOS in addition to IRIX. The project id & audit stuff is IRIX specific. Otherwise, the IRIX support in the current OpenSSHp looks good. (There were some utmp/wtmp oddities, but I think they've gone away in the latest release.) -- Mike Stone --------------

Hello community, My company is willing to host a Gluster-community meeting in Bologna (Italy) on March 8th 2018, back-to-back with Incontro Devops Italia ( http://2018.incontrodevops.it) and in the same venue as the conference. I think that having 2-3 good technical talk, plus some BOFs/lightning talks/open-space discussions will make for a nice half-a-day event. It is also probable that one or

On Wed, Nov 8, 2017 at 4:22 PM, Amye Scavarda <amye at redhat.com> wrote: > From today's community meeting, we had an item from the issue queue: > https://github.com/gluster/community/issues/13 > > Should we have a Gluster Community slack team? I'm interested in > everyone's thoughts on this. > > +1 to the idea. One of the limitations I have encountered in

Hi: I was wondering where I can find more information about LLVM's new licensing that was mentioned at the dev meeting and is scheduled to take effect from Feb 2018. Thanks, Anupama -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20171108/7703217c/attachment.html>

The archival process of the mailing list makes searching for past issues possible. Slack, and irc in general, is a more closed garden than a public archived mailing list. That said, irc/slack is good for immediate interaction between people, say, gluster user with a nightmare and a knowledgeable developer with deep understanding and willingness to assist. If there's a way to make a

tree: https://git.kernel.org/pub/scm/linux/kernel/git/mst/vhost.git vhost head: 823b45b4f154384941d57e124ed726847e293b36 commit: 823b45b4f154384941d57e124ed726847e293b36 [1/1] virtio_balloon: fix deadlock on OOM config: i386-randconfig-x001-201745 (attached as .config) compiler: gcc-6 (Debian 6.2.0-3) 6.2.0 20160901 reproduce: git checkout 823b45b4f154384941d57e124ed726847e293b36

tree: https://git.kernel.org/pub/scm/linux/kernel/git/mst/vhost.git vhost head: 823b45b4f154384941d57e124ed726847e293b36 commit: 823b45b4f154384941d57e124ed726847e293b36 [1/1] virtio_balloon: fix deadlock on OOM config: i386-randconfig-x001-201745 (attached as .config) compiler: gcc-6 (Debian 6.2.0-3) 6.2.0 20160901 reproduce: git checkout 823b45b4f154384941d57e124ed726847e293b36

Hello I have dataframes. mydata1 <-data.frame(value=c(15,20,25,30,45,50),dates=c("2005-05-25 07:00:00 ","2005-05-25 19:00:00","2005-06-25 07:00:00","2005-06-25 19:00:00 ","2005-07-25 07:00:00","2005-8-25 19:00:00")) or mydata2 <-data.frame(value=c(15,20,25,30,45,50),dates=c("2005-05-25 00:00:00 ","2005-05-25

Hi Andreas, thanks a lot for the explanation, sounds reasonable to me. ;) But what would be the right way to test DNS updates in this scenario? Best regards Johannes Am 08.11.2017 um 09:28 schrieb Andreas Schneider: > On Tuesday, 7 November 2017 21:04:09 CET Marc Muehlfeld wrote: >> Hi Johannes, >> >> Am 07.11.2017 um 18:35 schrieb Johannes Engel via samba: >>> a

I don't really see the point. lowess() is a two-dimensional smoother only so the main point would only be to allow lowess(y ~ x, dat) instead of lowess(dat$x, dat$y). Bill V. -----Original Message----- From: r-devel-bounces@stat.math.ethz.ch [mailto:r-devel-bounces@stat.math.ethz.ch] On Behalf Of Warnes, Gregory R Sent: Wednesday, 21 January 2004 4:48 PM To: 'R-devel' Subject:

As I've mentioned a number of times. I find it very useful to have lowess() become a generic function so that a lowess.formula() can be defined. Below is a patch that makes both changes, as well as updating the corresponding help documentation. Gregory R. Warnes Manager, Non-Clinical Statistics Pfizer Global Research and Development Tel: 860-715-3536 ? DESCRIPTION ? Makefile ?