similar to: pcse package - is it OK to use it when my regression is weighted by each subgroup's mean

Just two clarifying questions about the package "pcse". Argument "groupN": It should be a factor that tells us to what subgroup each record belongs, right? Argument "groupT" should be a vector that contains the time identifier. Can it be just a factor (e.g., 1, 2, 3, etc.) - or does it have to be in the date format? Thank you very much! -- Dimitri Liakhovitski

Dear R users, I am using lmer combined with AIC model selection and averaging (in the MuMIn package) to try and assess how isotope values (which indicate diet) vary within a population of animals. I have multiple measures from individuals (variable 'Tattoo') and multiple individuals within social groups within 4 locations (A, B, C ,D) crucially I am interested if there are

Hi, i have many variables for in example 4weeks and want to do aggregations, like mean standard , deviation etc.. With mean it works but how i can calculate the standard deviation for the 4weeks and for every ID. many thanks & regards, christian week1 <- grep("(_PRO_001)",names(dmx3),perl=T) week1table <- subset(dmx3,select=c(ID,week1)) week2 <-

Hi there, I'm currently evaluating the idea of a multi-master setup where each node shall hold a full copy of the mailboxes. Basically the idea is to use NFS and dsync to keep those copies in sync. So I did some tests with dsync and ran into a problem. Consider the following scenario: 1) Location1 and Location2 are in sync 2) A mail gets deleted on Location1 (via IMAP) 3) dsync mirror run to

**NEW TO R**-been trying to teach myself with no prior experience in computer languages, so I apologize if I am poor at using technical terms Hi, I have perused some of the previous posts on this topic and tried their solutions, but am still coming up with error messages(sometimes more than 50 at a time) I have: a csv file with four columns(that I have read into R, no problem, we will call it

Dear R Community, I am currently facing this seemingly obscure Problem with Panel Corrected Standard Errors (PCSE) following Beck & Katz (1995). As the authors suggest, I regressed a linear model (tmodel) with lm() with option "na.action=na.exclude" (I have also tried other options here). My dataframe is organized in pooled times series fashion, but with various missing values

(I hope this isn't html - Thunderbird is so annoying) I'm new to using hints/subscriptions on * so please be patient with me. I have two * systems in different geographic locations, connected via IAX Location1 has a Polycom 600 and a GXP-2000 phone Location 2 has a single GXP-2000. With the latest GS firmware, at Location1 I've managed to get an LED to light up on the GS phone

Hi All, I have a time series data with two continuous variables (say Var1 and Var2) for 4 years (***not continuous, do have some breaks because of missing data***). Something like this: Date Var1 Var2 12/01/2004 7 0 12/01/2004 0 0 12/01/2004 0 7 12/01/2004 7 0 12/01/2004 0 7 12/01/2004 0 7 12/02/2004 0 0 ... I need to find out weekly average of var1 and var2, so that I end up with data like:

Hi all, I think this might be an easy one but I cannot think of a way to do this other than what I am currently attempting. I simply want to sort my data frame's rownames by a defined vector so that the plots I generate from that vector are in the desired order Consider the test data below: #Create test data DataToPlot.. <- data.frame("Location1" =

Dear Lest, I have a two-variable data frame as follows (the time peirod of the actual data set is 10 years): Date Amount 1 6/1/2007 1 2 6/1/2007 1 3 6/4/2007 2 4 6/5/2007 2 5 6/11/2007 3 6 6/12/2007 3 7 6/12/2007 3 8 6/13/2007 3 9 6/13/2007 3 10 6/18/2007 4 11 6/18/2007 4 12 6/25/2007 5 13 6/28/2007 5

Dear all, I am trying to using a mixed-design ANOVA to analyze my data. I have two between subject variables: location (2 different locations) and age group (young and old), and one within-subject variable: valence (positive, neutral, negative). I am looking at an Stevens(one between, two within) in Notes on the use of R for psychology experiments and questionnaires (P34 in this article). In

Hello: I have been give a spreadsheet to work with formed as one big table. What it consists of is a 10-row-by-40-column table for each of about 70 different locations. In other words, the table row names are repeated 70 times, once for each of the locations (whose names also appear in the same column, where it's talking about the totals for that location), e.g.: A B C

Hello folks, I`m using knitr on R studio, which make it easy to use, but a coworker of mine would like to run it on "simple" R. So I was wondering if you know what is the equivalent of the button "knit HTML" in RStudio in R. I tried knit2HTML( <html> <head> <title></title> </head> <body style="background-color:white">

Hello guys, I'm new to knitr and to R in general. I'm using RStudio and knitr, both the latest version. I am trying to produce an html page with multiple graph, which has a url reference to each of them that bring us lower on the page. For those produce separately it is pretty easy, since I just include the html location like I did for graph 1. But in a loop, I am struggling to

Asterisk 1.0.9: IAX2 registration timeout! --- I have 2 locations with ADSL lines, both with dynamic IP (+ dynamic DNS). On location 1 => Asterisk 1.0.RC2 / Slackware 10 On location 2 => Asterisk 1.0.9 / Slackware 10 They are on private network and connected via IAX2 through NAT(win2000server), and registering to DDNS name of each other. I know that Asterisk is not very smart on handling

Ken - take a look at using IAX protocol to route calls between your Asterisk boxes. Cory Andrews -----Original Message----- From: asterisk-users-bounces@lists.digium.com [mailto:asterisk-users-bounces@lists.digium.com] On Behalf Of Ken Williams Sent: Wednesday, November 01, 2006 10:58 AM To: Asterisk Users Mailing List - Non-Commercial Discussion Subject: [SPAM HEADER] - RE: [asterisk-users]

Thanks everyone for the input. After pricing everything we need out, it's not worth trying to get our old system to work, so I've pitched ditching everything and starting over. I'm very excited and hoping they'll go for it. Regardless, I'm going to throw a box together for my house, we have no home phone (just cell phones) so this'll be a great way of testing. All

I apologise for writing again about the problem with using stepAIC + multinom, but I think the reason why I had it in the first place is perhaps there may be a bug in either stepAIC or multinom. Just to repeat the problem, I have 126 variables and 99 cases. I don't know if the large number of variables could be the problem. Of couse the reason for doing a stepwise method is to reduce this

Dear R-ers, I have a large data frame (several thousands of rows and about 2.5 thousand columns). One variable ("group") is a grouping variable with over 30 levels. And I have a lot of NAs. For each variable, I need to divide each value by variable mean - by subgroup. I have the code but it's way too slow - takes me about 1.5 hours. Below is a data example and my code that is too

Dear R users I encounter a problem when i perform a generalized linear mixed model (binary data) with the lmer function (package lme4) with R 2.1.0 on windows XP and the latest version of package "lme4" (0.96-1) and "matrix" (0.96-2) both options "PQL" and "Laplace" for the method argument in lmer function gave me the same results (random and fixed effects