[R] help_aov
Hi, I am trying to run an analysis of variance using R. in my data table x is a continuous variable lengthof 200 and p is a categorical variable also of length 200 and p is anyone of three categories 1,2 or ,3. if I run summary(aov(x~p,data=test)) I get Response: x Df Sum Sq Mean Sq F valuePr(F) p 1 3174.7 3174.7 42.749 5.175e-10 *** Residuals 198 14704.274.3 --- and if I run summary(aov(x~as.factor(p), data=test)) # I get Response: x Df Sum Sq Mean Sq F value Pr(F) as.factor(p) 2 3175.7 1587.8 21.275 4.31e-09 *** Residuals 197 14703.274.6 Can anyone kindly explain the difference. How will it affect -correct way to run - if it is a two-way anova where I have a second categorical variable sex - male or female. Many Thanks Yours sincerely, Bragadeesh __ R-help@stat.math.ethz.ch mailing list 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.
[R] Help: chisq.test
I have two groups of patients (improved or not improved) named x and y group respectively after being treated with 5 different drugs X-c(43,52,25,48,57) and Y-c(237,198,245,212,233) when I run chisq.test(cbind(x,y)) I get a p value of 0.0024 but if I run chisq.test(x,y) I get a p value of 0.22 not significant at 5% what is the difference between the two thanks bragadeesh __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] help
Hi, help.I would like to plot the mean and standard deviation against a factor in the xaxis- in other words I want an errorplot. I also want to put the standard deviation like a T on top of a barplot. How can do this in R Bragadeesh __ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
