similar to: creating a new variable.

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. while i have a mcmc running, i am looking at the frequestist method of my model. i have never done HLM so i am looking for ways to plot them that might yeild something useful like dr. fox's effects plot package. this is my model, where dem is democracy ranked continuous 1:10, trsut is a 3 level categorical variable, cpi is 1:10, etc... > hier.jags2.mod <- lmer(dem ~

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"

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",

Hello: I have a 4-column dataset: Crime, Education, Urbanization, Age. I want to construct a multiple linear regression to find the effect of Education, Urbanization, and Age on Crime" lm(Crime ~ Education + Urbanization + Age) If I use + in above statement, does it mean it will build a model to find the relationship between Crime and Education when Urbanization and Age are held constant?

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

hello, all. one of my students is having an issue with the pie & legend function. this is her code. (below) it works just fine for me. her error is "plot.new has not been called yet". i know this means her pie chart is coming up blank so the legend will not work. according to ?graphics this package *is* supposed to handle these functionalities. however, when i tried to

Hello, I have a dataset which I am calling RB09. I am trying to match the questions in the code book with variable codes. It is not very intuitive. example: names(RB09) [1] "ea1" "eaf1" "eaf1a" "eaf2" "eaf2_7" [6] "eaf3" "eafimpun" "eafunpun" "evimpmar"

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'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!

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

After update I have got this: samba-tool drs kcc -Uadm2 -d 9 INFO: Current debug levels: all: 9 tdb: 9 printdrivers: 9 lanman: 9 smb: 9 rpc_parse: 9 rpc_srv: 9 rpc_cli: 9 passdb: 9 sam: 9 auth: 9 winbind: 9 vfs: 9 idmap: 9 quota: 9 acls: 9 locking: 9 msdfs: 9 dmapi: 9 registry: 9 scavenger: 9 dns: 9 ldb: 9 tevent: 9 auth_audit: 9

I stumbled upon a typo in a time zone name: Irtutsk should be Irkutsk. A patch is attached. I also checked that this is the only bug of its kind in this file, i.e., all the other Olson time zones occurring in the file can also be found in Unicode Common Locale Data Repository. - Mikko Korpela Index: src/extra/tzone/registryTZ.c ===================================================================

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

Dear LLVM users, The development of LLVM has been supported primarily by funding from the National Science Foundation and the University of Illinois. in order to maintain our sources of funding and attract new ones, It is important for us to be able to document how LLVM is benefiting companies, universities, other organizations, and individuals in the outside world. (The information