similar to: lm()

I am working on my thesis in which i have couple of independent variables that are categorical in nature and the depndent variable is dichotomus. Initially I run univariate analysis and added the variables with significant p-values (p<0.25) in my full model. I have three confusions. Firstly, I am looking for confounding variables by using formula "(crude beta-cofficient - adjusted

Hi R community, I am new bird to R and moved recently from SAS. I am no means expert on either but very curious learner. So your help crucial for me to learn R. I have already got positive expression. I was trying to fit a mixed model in animal experiment but stuck at simple point. The following similar example is from SAS mixed model pp 212. # data genetic_evaluation <-

Dear all, I'm trying to use the "optim" function to replicate the results from the "glm" using an example from the help page of "glm", but I could not get the "optim" function to work. Would you please point out where I did wrong? Thanks a lot. The following is the code: # Step 1: fit the glm clotting <- data.frame( u =

Hello, with CentOS 6, my new server created an UUID entry in ifcfg-eth0 - additional to HWADDR entry. Up to CentOS 5 the connection to the netwark card was defind only by HWADDR. Now I have a new network card. How can I get the correct UUID? The server connects correct the network with the updated HWADDR without any UUID. Why do I need an UUID? Thank you for help in advance. Best Regards

Hello list, Is there a possibility to add entries to the winbindd_idmap.tdb manually? I know I can use tdbdump to see the entries, but is there a chance to modify? My problem is I have to map some uid to some Windows SID without using LDAP. On the other hand new user not having any uid in linux should map to the range of uid I defind by using idmap uid = 10000-20000 2nd Question: Is it

I am trying to write a plugin, ''acts_as_commentable'', for my models - Image, Book, Music and so on, I do not want to use polymorphic association, so very model should have its own comment class. Here is my code acts_as_commentable.rb module Commentable def self.included(base) base.extend(ClassMethods) end module ClassMethods def

Hello In matlab we have " gradient(F,h) " where h is a scalar uses h as the spacing between points in each direction. Now I need to use this function in R. and I dont know how can I should define my function that I haave "h" in R? thanks [[alternative HTML version deleted]]

Hello, I am currently working on a solution to replace Apple OpenDirectory on some aging Xserve hardware. I currently have CentOS Samba4 AD DC?s replicating for redundancy using sernet-samba repositories. The third one has File/Print roles defind and it works perfectly EXCEPT on OSX 10.6. IT works great on any Windows workstation and OSX 10.7,10.8, 10.9 GNOME/Nautilus and even CIFS CLI mounting

Can someone help me with the code I can use to extract word preceded by hash tag in live tweets download from twitteR. An example of what I require is: [[9]] [1] "HollandUKTrade: #Dutch companies striking Olympic gold at London 2012 http://t.co/XsvvXAzT #london2012 #olympics #sport @hollandtrade @dutchembassyUK" (Tweet download) I want a code that will extract this: #Dutch companies

Dear R Team, Can you please tell me how I can remove my e-mail address from the R mailing list. Kind regards, Mariam [[alternative HTML version deleted]]

Hello All, Can anyone help me solve this problem. Am trying to extract hash-tagged words from tweets downloaded from twitteR. I can extract hash-tagged words from single tweet using (stringr) str_extract_all(tweets, "#[a-z//A-Z//0-9]+")  but cannot with more than one tweet at a time except I manually remove all regular expressions and tweets numbers such as [[1]] and [1.] I want to

Hello, Can you please, as a matter of urgency, tell me which R version support tm.plugin.sentiment  and how I can install the package in R studio. I use window 7. Thanks. [[alternative HTML version deleted]]

I figured out a previous issue to allow you to connect veritas BE to a samba system. You basically just defind a c$ share, and it was happy (Veritas BE version 8.5 Rev 3572) Now, I cannot get the user defined share to connect for the life of me anymore. The backup user can connect using windows shares, but within the application, I'm out of luck. It keeps asking for a username/password

Hello! Is there a simplier way in R to get a nonlinear regression (like nls) for a surface? I have 3D data, and it is definitely not a linear surface with which it would fit the best. Rather sg like z = a + f(x) + g(y) where probably both f and g are polinomes (hopefully quadratic). Szilvia -- View this message in context:

Hello, I'm running samba 2.2.3a at Mdk 8.1 server as PDC in a small business network. There is a lot of windows 98 clients in it and they all work fine with samba. I've tryed to join my Windows XP Profesional to the domain. After installing a registry patch for XP , creating machine account for win xp machine in samba, changing the domain name for win xp and login in as root i succeed. I

hi guys, got this problem... in my controller, when i wanna do a @temp.count it fails... then i went to try counter = @temp.count which also failed.. thus, i feel that the count is not available for ActiveRecord::Base..so i went to the Model class eg. user.rb so in user.rb : ... def count_uesr count = 0 self.each do |record| count ++ end return count end then it ended up having

so, i have a MinimalFrame class where i have a form, then, after a user add a new client i would like to send a log message on MainFrame status_bar. -- Posted via http://www.ruby-forum.com/.

I find Sweave very useful and I was trying to combine it with the latex package fancyvrb. I was trying to get line numbering and labels in order to reference the lines where particular commands occur. Unfortunately, I haven't been able to figure out how to do it. Maybe somebody can help me. The following is a sample Rnw file: the first part shows what I would like to get, the second what I

Hello All: I have a binomial model with one covariate, x1, treated as a factor with 3 levels. The other covariate is measured x2 <- 1:30. The response, y, is the proportion of successes out of 20 trials. glm(cbind(y, 20 - y) ~ x1 * x2, family = binomial) Now, I would like to constrain the cofficients on 2 levels of the factor, x1, to be identical and test the difference between these