I am studying for a quiz and while I was solving two problems, an error occured. a) So the problem is we want to test if the block program makes a difference in retention at α = 1% (which is the significance level) This is the code I used to perform chisquare test. My solution: blockprogram <- matrix(c(18,15,5,8,4,10,5,7,18,10), nrow=2, byrow=T) colnames(blockprogram) <- c("1 yr","2 yr","3 yr","4 yr","5+ yrs") rownames(blockprogram) <- c("Non-Block","Block") chisq.test(blockprogram, conf.level=0.99) ==> This is the part where I can't run.. chisq.test(blockprogram, conf.level=0.99)$observed chisq.test(blockprogram, conf.level=0.99)$expected So my question is is it the *conf.level=0.99* where it is wrongly used?
b)I was able to run the one way anova but wasn't able to run on the tukey's test. I seriously do not know what went wrong... So, this is the original problem: The data set chicken.csv contains weights of chickens which are given 1 of 3 different food rations. Perform an ANOVA procedure to determine if the weights of the chickens are significantly affected by the food rations they are provided. In case a significant effect exists, perform a Tukey HSD post-hoc procedure to identify under which ration the chickens will be heaviest. Use a 5% level of significance. SO here's the code I used to perform: chicken <- read.csv("C:/Users/Win/Desktop/chicken.csv") attach(chicken) anova(lm(chicken$ration~chicken$weight)) anova.ration <- aov(chicken$ration~chicken$weight) *posthoc.ration <- TukeyHSD(anova.ration, 'weight', conf.level=0.95) => This is the part where I wasn't able to run :(* tapply(ration,weight, mean, na.rm=T) plot(posthoc.weight) Thanks! -- View this message in context: http://r.789695.n4.nabble.com/There-is-an-error-when-I-performed-chisquare-and-postanova-test-tp4712770.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.