search for: tost

..."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

...or more levels? Can the package, or the package plus another function, be used to test the similarity of the predictions produced by two or more factor levels from nested or otherwise correlated data? Which of the equivalence functions accomodates unbalanced designs? Using functions such as tost.data to compare observations associated with the 2 predictors in my data is complicated both by the unbalanced design and the lack of accomodation of the nested design. Note that I am running R 2.0.1 which predates the version in which "equivalence" was developed. Thank you in advan...

...0.017 4.94 0e+00 1500 neurodat2 0.481 -0.038 0.038 0.011 3.44 6e-04 1500 Is there a way to determine if the c-statistics are significantly different/similar to one another across data sets (i.e. I want to compare the c-statistic for gendat1 with that for gendat2). I was considering using the 'tost' function within the equivalence package but that doesn't seem appropriate either. Many thanks, Laura [[alternative HTML version deleted]]