similar to: lmer effects-type plot?

i am using mac OSX 10.7.5, running R version 2.15.2 (2012-10-26) -- "Trick or Treat" when i do: uncountry <- unique(wvsAB[,7]) wvsAB$numcountry <- match(wvsAB$country, uncountry) "unstate" isn't attaching. > library(base) > uncountry <- unique(wvsAB[,7]) > wvsAB$numcountry <- match(wvsAB$country, uncountry) > ls(wvsAB) [1] "age"

Hello, all. I've been working on this for sometime and was almost at the end/ last chunk of code i would need.... When I received an error. Rather than go to bed and think about it in the morning, I messed with my data and now I am not getting anything. I was up until 4am trying to fix this. Zip files of my data are attached (the data which ends in 'a' matches with wvsA and the

Hello, all. The following is for my own research. I have attached the relevant data in pdf from Transparency International. I am only interested in the "CPI 2010 scores" column. I am interested in creating a variable for several of these countries. The idea is, they will become a country level aggregate IV "corruption". I am running models on about 10 countries,

I have : raw <- read.table("monthly.text", skip=3, sep="|", col.names=c("junk", "junk2", "wpi", "g.wpi", "wpi.primary", "g.wpi.primary", "wpi.fuel", "g.wpi.fuel", "wpi.manuf", "g.wpi.manuf",

Hi everyone, I am sure that this question has been asked here some time ago but I do not remember the answer and was unable to find it in the archives... Below is my question: suppose that I have a data.frame x and one of it's columns name is "CPI/RPI" (without quotation marks of course). How can I reference this column? Neither of x$CPI/RPI or x$"CPI/RPI" work. I

Dear list, I am new with ggplot2 and I have spend quiet some time putting together the following code to create the attached plot. However there's still a few things that I'm having trouble with! I would be grateful if someone can tell me how to fix (1) the colour of my bars into grey scales (2) removing the y-axis (species name) on the right figure to avoid duplication, and (3) fix the

I tried toy problems and there doesn't seem to be a basic problem between lm() and ts objects: X = data.frame(x=c(1,2,7,9), y=c(7,2,3,1)) lm(y ~ x, X) X <- lapply(X, function(x) ts(x, frequency=12, start=c(1994,7))) lm(y ~ x, X) and this works fine - whether you do an lm() before or after making ts objects, it's okay. But I have a situation where things aren't okay.

Hi all, I want to download data from those two different sources, directly into R : http://www.rateinflation.com/consumer-price-index/usa-cpi.php http://eaindustry.nic.in/asp2/list_d.asp First one is CPI of US and 2nd one is WPI of India. Can anyone please give any clue how to download them directly into R. I want to make them zoo object for further analysis. Thanks, -- View this message in

Hi all, I've been hitting the odd floating point exception errors using the new alpha encoders. They're encoding a live stream so I can't reproduce the crash on demand, and it might only happen once every few days so it's been fun trying to get a backtrace. The crash happens in a fairly scary block of code, I wouldn't have a clue where to begin trying to fix it!

Hello everyone, I have a simple histogram of gasoline prices going back a few years that I want to insert a line graph of consumer price index (cpi) over the histogram. I have looked through the "Lattice" book by Deepayan Sarkar but don't see anything there. How might this be done? An example would be wonderful. Current code snippet follows. For example additional field to add

Hi David, Maybe I’m just blind, but where’s the code to handle the .ltorg directive? Is that a separate patch, maybe? Without that, this is not going to be usable in any circumstance using subsections-via-symbols. +typedef std::map<const MCSection *, ConstantPool> ConstantPoolMapTy; This feels odd to me. Can you elaborate a bit more on the data structure choices?? I would have expected

Hello!!, for linear models fit I use Gretl, but now I'm starting to use R, I would like to know if is there some function to obtain a extended summary like in Gretl. I will write a example in Gretl Modelo 1: MCO, usando las observaciones 1968-1982 (T = 15) Variable dependiente: Invest Coeficient St error t-ratio p-value const 377,631 35,0955 10,7601 <0,00001 *** GNP

Hello, This is a standard example in which I read the time series data from a csv file and create a zoo object: x0 <- read.csv(file="CPI.csv", header=TRUE) time_0<-as.yearmon("1981-01")+(0:371)/12 x0zoo<-zoo(x0, time_0) The data look like this: TIME CPI CPI_food CPI_Clothes CPI_House CPI_Rent 198101 62.1 55.34 103.45 65.24 61.43 198102 63.16 56.95

Hola!! A ver si alguien puede ayudarme!! Para ajuste de modelos lineales normalmente uso Gretl. Ahora estoy empezando a hacerlo en R. Me gustaría saber si existe alguna función que haga un summary extendido como el de Gretl. Os pongo un ejemplo del summary de Gretl. Modelo 1: MCO, usando las observaciones 1968-1982 (T = 15) Variable dependiente: Invest              Coeficiente   Desv. Típica

Hi Jim, Thanks for the review. It seems like you were looking at an old patch. I've attached the latest patches to this email (and a squashed version of all three for easy reading). I believe many of your concerns were addressed. See below for a detailed response. > Maybe I'm just blind, but where's the code to handle the .ltorg directive? It is implemented in patch 0003 in this

I have the following daily exchange rate series (from january 1st 1996 to december 31st 2008) and I want to obtain them monthly series from it. I've read about the 'zoo' library but I'm not getting it how to do it. These are the data (left column day-month-year, right column the index) 31/12/1993 1,12509 03/01/1994 1,12509 04/01/1994 1,12558 05/01/1994 1,1258 06/01/1994 1,12596

Hello I am not really a statistic person, so it's possible i did something completely wrong... if this is the case: sorry... I try to get the best GLM model (with the lowest AIC) for my dataset. Therefore I run a stepAIC (in the "MASS" package) for my GLM allowing only two-variable-interactions. For the output (summary) I got a model with 7 (of 8) variabels and 5 interactions and

A few months ago, Eric asked about this for CentOS 6: https://stat.ethz.ch/pipermail/r-sig-fedora/2014-April/000310.html and was kindly helped by Marc Schwartz. OTOH, we are running Fedora 19, currently upgrading to Fedora 20. The RPM find link for 'jags-devel' which Marc provided really seems to cater to CentOS or RHEL 5, but not directly to any newer Fedora. Also there, I'd

Hi, I need to fit at least three NICs and I was looking for motherboard models that contain 3 or 4 CPI (or PCI-e) slots and works with CentOS. I had a problem in the past with some models that had a bug and did not work well with linux (ok with windows) so that's way I am asking this here. -------------- next part -------------- An HTML attachment was scrubbed... URL:

Dear All, I wanted to forecast Inflation for Indian Economy. please send what techniques to be used after the variable selection. WPI, CPI, Money supply, IIP, Interest rate and so on..How i can use R for the same [[alternative HTML version deleted]]