search for: hollix

Hi folks, I created a subset of a dataframe (i.e., selected only men): subdata <- subset(data,data$gender==1) After a residual diagnostic of a regression analysis, I detected three outliers: linmod <- lm(y ~ x, data=subdata) plot(linmod) Say, the cases 11,22, and 33 were outliers. Here comes the problem: When I want to exclude these three cases in a further regression analysis, - for

Hi folks, I tried for the first time hclust. Unfortunately, with missing data in my data file, it doesn't seem to work. I found no information about how to consider missing data. Omission of all missings is not really an option as I would loose to many cases. Thanks in advance Holger -- View this message in context:

Hello folks, many multivariate anayses (e.g., structural equation modeling) require multivariate normal distributions. Real data, however, most often significantly depart from the multinormal distribution. Some researchers (e.g., Yuan et al., 2000) have proposed a multivariate transformation of the variables. Can you tell me, if and how such a transformation can be handeled in R? Thanks in

...ic than "Re: Contents of R-help digest..." Today's Topics:   1. Intra-observer reliability (Shreyasee)   2. Re: Constrained fits: y~a+b*x-c*x^2, with a,b,c >=0       (Berwin A Turlach)   3.  Multiple ANOVA tests (Imri)   4..  r-plot (durden10)   5.  Multivariate Transformations (Hollix)   6. Re: Neural Network resource (Tony Breyal)   7. How to write a loop? (Maithili Shiva)   8. How to exclude a column by name? (Zeljko Vrba)   9. Re: How to write a loop? (Linlin Yan)   10. Re: How to exclude a column by name? (Linlin Yan)   11. Re: How to exclude a column by name? (Paul Hiemstra...