[R] Diagnostic Tests: Jarque-Bera Test / RAMSEY

Hello R-Users, The following questions are not R-technical, but more of general statistical nature. 1. NORMALITY I built a normal linear regression model and now I want to check for the residual normality assumption. If I check the distribution graphically and look at the descriptive cha

[R] LM Model

Dear R-Users, How can I put a pre-defined regression model into to an object of class lm in order to use the predict.lm function. A simplified example: I would normally run a regression analysis on a dataset, > germany<-lm(RENT~AGE1, in.mi01) > summary(germany) Call: lm(formu

[R] subset function

Hello R-Users, I have the following problem with the subset function: See the following simple linear model. Here everything works fine: >germany<-lm(RENT~AGE1, in.mi01) However, if a use the same regression equation and only specify a subset, I get an error message: > berlin<-l

[R] enhanced question / standardized coefficients

Hello, I would like to repost the question of Joerg: Hello everybody, a question that connect to the question of Frederik Karlsons about 'how to stand. betas' With the stand. betas i can compare the influence of the different explaning variables. What do i with the betas of factors? I

[R] Convert Class "numeric" to class "lm

Dear R-Users, Background: I have five multiple imputed datasets. For each datasets I have run a regression analysis and combined the regression coefficients according to Rubin (1987) rule. Problem: Now I want to use these combined regression coefficients on a different dataset (with

[R] plot.mids / Error in plot.new() : figure margins too large

Hello R-Users, I would like to check the convergence of my imputations. However, when I use the function the plot.mids(), I always obtain the following error message Error in plot.new() : figure margins too large I read the same question in thread from November 2005 (see below). I actually

[R] Multiple Imputation / Non Parametric Models / Combining Results

question than a technical question on R. Thanks in advance for any hints and advices. Simon Simon P. Kempf Dipl.-Kfm. MScRE Immobilienökonom (ebs) Wissenschaftlicher Assistent Büro: IREBS Immobilienakademie c/o ebs Immobilienakademie GmbH Berliner Str. 26a 13507

[R] Box Tidwell / Error Message / Error in parse(file, n, text, prompt) : syntax error in

set does not have any missing values - The data set contains more than 19000 observations. Thanks in advance and if you need more information about the data, please let me know, Simon Simon P. Kempf Dipl.-Kfm. MScRE Immobilienökonom (ebs) Wissenschaftlicher

[R] Box Tidwell / Error Message

B_HALF is a factor with 20 levels - The data set contains more than 19000 observations. Now, I am bit confused. Why does the function works when I use B_YEAR respecitvely why does it work with B_HALF when I delete I(age2+1) Thanks in advance, Simon Simon P. Kempf