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..."l", main="My nice plot of the estimated function") zs<-format(z,digits=4,scientific=FALSE,trim=TRUE) text(-0.9,7,expression(1.54*x^2)) # is what I want, but DYNAMIC text(-0.9,6,expression(paste(zf[1],x^3))) # not really text(-0.9,5,expression(paste(toSting(zf[1]),x^3))) # not really #using z (double) instead of zf (string) does not help. So my question is: How do I evaluate zf[1] from the variable to it's (String) value? Here it is used within an expression: this makes all the trouble. Thanks for help, I tried 2 hrs now... Thomas

Hi, I use ks.test or lillie.test to verify a normal distribution. It's performed for a group My users use SigmaStat software and a One Way ANOVA on several groups In the result page there is a probability value to determine if Normality test is failed or passed So, how can i retrieve this probability value on several groups? Is there another function in R to verify normality on several

Hello, I am analysing several samples whose sizes are from 9 to 110. I would like to test their distribution with R, whether they are normal or not. I wonder which test for normality from R should I use . Thank you for help. Samuel Samuel BERTRAND Doctorant Laboratoire de Biomecanique LBM - ENSAM - CNRS UMR 8005 151, bd de l'Hopital 75013 PARIS Tel. +33 (0) 1 44 24 64 53 Fax +33 (0) 1

Hello, helpeRs, I recently used a linear mixed effects model followed by ANOVA to assess the relationship between a categorical predictor variable with 2 levels (and random effects) and a numeric response variable. As I was concerned about the lack of a power analysis prior to data collection, it was suggested that I use an equivalence test to complement the conventional hypothesis test.

Dear All, Apologies if you have a seen a question like this from me before. I am hoping that if I re-word my question more carefully someone may be able to offer more help than the last time I asked something similar. I am using R 2.9.2 and Windows XP. I am trying to determine if there is a statistically significant difference between two c-statistics (or equivalently D statistics). In Stata