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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 mode...

...the calculations... since i am not that experienced in R. one last help of yours would be quite helpful to get rid of this silly problem! Thanx again... > Date: Wed, 9 Jun 2010 12:40:42 +0200 > Subject: Re: [R] equivalent of stata command in R‏ > From: jorismeys@gmail.com > To: saint-filth@hotmail.com > CC: r-help@r-project.org > > plm does not have a predict function, so forget my former mail. To get > to the coefficients, you just : > coef(mdl) > > The rest of the calculations you can figure out I guess. > > I'm also not sure if you're doing w...

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): >

Convey uses a highly modified CentOS kernel to work with our attach coprocessor. Currently to setup a system for delivery we do a cold install using a "stock" CentOS cold install using kickstart. During that cold install we lay down our modified kernel and reboot the system with that kernel. After the reboot we are able to access the coprocessor management processor and down

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 -------------+--------------------------------------------------------

Hello All!!! I was wondering if you can help me little bit.... I am trying to help (voluntary service) a country side school (Aboriginal community) in Northern Queensland Australia setup lab infrastructure, it's a very remote school and they don't have enough funds to go commercial The school has only till grade 6 They have 25 machines that was bought out of the

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

Hi Dimitri, Thanks for help, i knew that way that you have suggested but in fact my case is a little bit complicated than this, therefore, i am writing a better explanation now, my model is trying to see the effect of eco-innovative industries on total output, thats why i am trying to estimate by-industry regression: the model is lnQ~lnC+lnM+lnL+lnE+eco_inno+inno+(sum)ind_3d capital,material

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