similar to: pcse package error message concerning nrows of using data

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

I've been reading the R mail archives and I've found a lot of messages with this same kind of problem, but I can't understand the answers. Can one of you try to explain this to me? Here's my example. Given a regression model and a variable, I want to use unstack() on the vector of residuals and make some magic with the result. But unstack hates me. PCSE <- function

Hello! Just would like to make sure I am not doing something wrong. I am running an OLS regression. I have several subgroups in the data set (locations) - and in each location I have weekly data for 2 years - on my DV and on all predictors. Looks like this: location week DV Predictor1 Predictor 2 location1 week1 xxx xxxxxxx xxxxxxxxx location1 week2 xxx xxxxxxx xxxxxxxxx . .

Dear list, I am trying to replicate an econometrics study that was orginally done in Stata. (Blanton and Blanton. 2009. A Sectoral Analysis of Human Rights and FDI: Does Industry Type Matter? International Studies Quarterley 53 (2):469 - 493.) The model I try to replicate is in Stata given as xtpcse total_FDI lag_total ciri human_cap worker_rts polity_4 market income econ_growth log_trade

Hi, I am new to R (and not really a stats expert) and am having trouble interpreting its output. I am running a human learning experiment, with 6 scores per subject in both the pretest and the posttest. I believe I have fitted the correct model for my data- a mixed-effects design, with subject as a random factor and session (pre vs post) nested within group (trained vs control). I am

I'm wondering how to save an object (models like lm, loess, etc) in a DB to retrieve and use it afterwards, an example: wind_ms <- abs(rnorm(24*30)*4+8) air_kgm3 <- rnorm(24*30, 0.1)*0.1 + 1.1 wind_dg <- rnorm(24*30) * 360/7 ms <- c(0:25) kw_mm92 <- c(0,0,0,20,94,205,391,645,979,1375,1795,2000,2040) kw_mm92 <- c(kw_mm92, rep(2050, length(ms)-length(kw_mm92))) modelspline

I maintain a directory structure containing dirs and files that I regularly push to ~50 hosts, which are divided into 3 groups that have slightly different needs (minor mods in a couple of files). So ideally I would have 4 directories: /path/to/sync/common/ <- common files /path/to/sync/group1/ <- group1 specific only /path/to/sync/group2/ <- group2 specific only

On 03/31/2016 07:40 AM, tomr wrote: > I maintain a directory structure containing dirs and files that I regularly push to ~50 hosts, which are divided into 3 groups that have slightly different needs (minor mods in a couple of files). > > So ideally I would have 4 directories: > /path/to/sync/common/ <- common files > /path/to/sync/group1/ <- group1 specific only

In <B4E1EC5D-5E46-4A98-9018-C5E4C4441712 at equalit.ie>, on 03/31/16 at 03:40 PM, tomr <tom at equalit.ie> said: Hi, >Then I'd run an rsync like: > rsync -av --overlay /path/to/sync/groupN \ > /path/to/sync/common remotehost: >Thinking in terms of a list of files to be transferred, I would like: - >Anything present in common/ added to the file list;

Hi all, I am attempting to learn my way through the sem package by constructing a simple structural model for some of my data on bird diversity, abundance, and primary productivity. I have constructed a covariance matrix between these variables as per the following: >S_matrix = matrix(c( >+ 0.003083259, 0, 0, >+ 0.143870284, 89.7648490, 0, >+ 0.276950919,

> On 31 Mar 2016, at 16:22, Marian Marinov <mm at yuhu.biz> wrote: > > On 03/31/2016 07:40 AM, tomr wrote: >> I maintain a directory structure containing dirs and files that I regularly push to ~50 hosts, which are divided into 3 groups that have slightly different needs (minor mods in a couple of files). >> >> So ideally I would have 4 directories: >>

Using samba 3.0.8 and Suse ES 9.0 I'm having problems getting roaming profiles/local profiles and logon scripts on a Win2k or WinXP workstation working correctly. My bdc is supposed to be doing the authentication against my PDC\LDAP server. Even when I enable Only allow local profiles on the XP machine it will logout a domain samba user with a sorry no roaming or local profile available

Hello everyone I appologize for my lack of experience in statistical methods. I am an R user begginer and I am running a logit model using "zelig" and "pcse" packages. I will go to the point and is that Im having problems with interpreting the results of my models.. It is really simple (I guess for the most advanced scholars) however I really dont understand how to interpret

Hi R-people: Working in geoRglm, it shows me, according to AIC criterion, that the non-spacial model describes the process in a better way. It's the first time that I'm facing up to. These are my results: OP2003Seppos.AICnonsp-OP2003Seppos.AICsp #[1] -4 (OP2003Seppos.lf0.p<-exp(OP2003Seppos.lf0$beta)/(1+exp(OP2003Seppos.lf0$beta))) #P non spatial #[1] 0.9717596

Hi I have some panel data for the 50 US states over about 25 years, and I would like to test a simple model via OLS, using this data. I know how to run OLS in R, and I think I can see how to create Panel Corrected Standard Errors using http://jackman.stanford.edu/classes/350C/pcse.r What I can't figure out is how to correct for autocorrelation over time. I have found a lot of R stuff on

hello- I'm trying to merge two data frames with different number of rows. I started with a for loop, but it just taking to long . I wanted to ask if there is any function in R to merge data frames with different number of rows. -- -Tony [[alternative HTML version deleted]]

Good day, I have been using Icecast 2.3.1 for sometime now, but recently I have not been able to run SAM broadcaster using Icecast. Sam says that my mount is inactive because it can't be found. Is there a problem with Icecast? I have heard that spacial audio has gone to shoutcast. What can you do to help me set up Icecast to run radio stations? I have tried all the forums, but nothing

I been revising my list of options for people to connect to my icecast servers. And would like to know what clients you use to connect. I know of the list on the site and I would like to know what you guys use. Please Post Name, Version, OS and Why you choose or recommend this client. I use SAM by Spacial Audio, its a old version, for windows, Why because I got a good deal on the cost of it, it

if you are not using the latest cvs code and do not intend to, please ignore this message. if you are following the SAMBA_2_0 tag, not the main-line branch, please ignore this message. if you are currently not prepared to move to the new parameters, please stay with the SAMBA_2_0 tag or with the latest stable release of samba. if you wish to try out the latest experimental code, please read

On Mon, Oct 28, 2013 at 10:09 AM, James Courtier-Dutton <james.dutton at gmail.com> wrote: > My guess is that this is a missed optimization, but in real life, all > projects i have worked fix this in the C or C++ code using macros that > change what instructions are used based on target platform and its > endedness. One reason for writing code like this, i.e. explicitly spelling