similar to: creating dummy with loop command‏

Dear R users, I think i have a simple question which i want to explain by an example; i have several 2-digit industry codes that i want to use for conducting by-industry analysis but i think there is a problem with the degrees of freedom! for example, when i do my analysis without any 2-digit industry code, i got the following summary (i have 146574 observations in total): >

Thank you for your advice, ill try to be more explicit now, i wasnt in the first mail because i thought it is a simple question to answer, so; i have a panel data which contains 48858 observations during 3 year therefore, there are 146574 observations in total, i have 22 different industries defined by 2-digit codes such as 11, 13,14,16...40 therefore, ind_2d contains 22 2-digit codes for

Dear R users, I have a simple question (probably) but i couldnt how to find a solution for that. i am using 2 digit industry codes and 3 digit industry codes for my model, and i need to create dummies for the industries. The case is simple for the 2-digit industries since there are not that mcuh of them, so i am creating my dummies as following ind_2da<-(ind_2d==11)#for the 11th industry

Dear R help, I have the following data frame: structure(list(prochi = c("ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1"), date_1st_event = structure(c(14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784 ), class = "Date"),

hi, i am writing my master thesis and i am dealing with 146474 observations (panel data), i have just learned the R so i am a beginner!! i am trying to use the "plm" package and i have a duplication problem; i have written the following commands to read my data and create my model >dsn<-plm.data(ds, c("stno", "year")) ds=name of my data, stno=individual

Hello everyone, I have a peoblem to create the twoways effect in the plm package. when i try to create the following dsn1<-plm(lnQ~lnC+lnL+lnM+lnE+eco+RD,data=newdata,effect="twoways",model="within") i have this error: Error in rep.int(c(1, numeric(n)), n - 1L) : negative length vectors are not allowed and to be honest i have no idea what does it mean!! can someone

On 02/25/2014 04:50 PM, John Criswell wrote: > > I think a more interesting idea would be to use LLVM to perform > instrumentation and then to use Valgrind to instrument third-party > libraries linked into the program. > > What I'm imagining is this: Let's say you instrument a program with > SAFECode or Asan to find memory safety errors. When you run the program >

Dear all, I need to use R for one estimation, and i have readily available stata command, but i need also the R version of the same command. the estimation in stata is as following: 1. Compute mean values of relevant variables . sum inno lnE lnM Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------

From: saint-filth@hotmail.com To: saint-filth@hotmail.com Subject: RE: Date: Wed, 9 Jun 2010 09:53:20 +0000 OK! sorry thats my fault, here the translations of the stata commands 1st step is to get the mean values of the variables, well that doesnt need explanation i guess, 2nd step is to estimate the model on panel data estimation method which is:

Dear all, I have a basic(!) econometric question which i couldnt find the way to do it in R. Well this could be also because of my wrong interpretation of the econometric process that i am trying to implemet.so here i wanna ask if am doing a logical mistake!!! so here is the question with the explanation of the process, hope there will be someone who can help me! suppose i have a basic

Thanx for your response, yeah, i know i didnst specified the indexes when i wrote the 2nd mail, in fact in the 1st mail i wrote already that i dont have problem with the estimation of the model... thats the reason why i didnt write in fact since the issue is not to estimate the model but to get the marginal effect, anyway, i figured out that predict(), doesnt work for panel data... and well, my

Hi, only one letter got to valgrind-developers mailing list. I'll quote the first message of the thread so that those who do not read llvmdev knew what's this discusssion about. === Begin of the first message === > Hi, > > I've seen on the LLVM's Open Projet Page [1] an idea about using LLVM to > generate native code in Valgrind. For what I know, Valgrind uses libVEX

Dear All, I am economist and working on poverty / income inequality. I need descriptive statitics like the ratio of education expentitures between different income quintiles where each household has a different weight. After a bit of google search I found 'Hmisc' and 'quantreg' libraries for weighted quantiles. The problem is that these packages give me only weighted quintiles;

Hello all, Is there a way to take the row names from my data.frame and have them imported to the regression results? At the moment, I my original data frame looks like this: / Riding name / Turnout / Margin / Expenditures 1 / Abbotsford 2 / . 3 / . 4 / .Willow I know how to set the row names for the original data frame to be the Riding name, but when I run the regression, the residuals,

How do I go about generating a WEIGHTED mean (and standard error) of a variable (e.g., expenditures) for each level of a categorical variable (e.g., geographic region)? I'm looking for something comparable to PROC MEANS in SAS with both a class and weight statement. Thanks. Marc [[alternative HTML version deleted]]

"Raja Venkateswaran" <rajav at codeaurora.org> writes: > I think we need to think along two dimensions - Breadth of testing and depth > of testing > > 1. Breadth: What the best supported ARM ISA versions in LLVM ARM? Say its > armv6 and armv7; We need to > - regression test ARM mode, Thumb-2 and Thumb-1 mode (armv6) > - Performance/code-size test ARM mode,

Hi, since nobody answered to my first message, I try to explain my problem more clearly and more general this time: I have a data set in my R package "micEcon", which has many variables (82). Therefore, I would like to avoid to describe all variables in the "\format" section of the documentation (.Rd file). However, doing this lets "R CMD check" complain about

Appreciate any suggestions regarding how to fit an unbalanced panel data to a Tobit model using R functions. I am trying to analyze how real estate capital expenditures (CapEx) are affected by market conditions using a panel Tobit model. The CapEx is either positive or 0, so it is censored. The data are unbalanced panel, including the CapEx of about 5000 properties over about 40 quarters, with the

Nicholas: Regarding your problem: "The SGI server is only serving files, no home directories, no printers (we have separate NT servers for each of those functions), and it is using "SERVER" level security. Encryption is on. Guest logins are disabled ... I'm confused greatly by this - one day, a user's login will work, another day, it'll suddenly stop working. "

Hi All, I have some data where I am doing fairly simple calculations, nothing more than adding, subtracting, multiplying and dividing. I’m running into a problem when I divide one variable by another and when they’re both 0 I get NaN. I realize that if you divide a non-zero by 0 then you get Inf, which is, of course, correct. But in my case I never get Inf, just NaN because of the structure