Jason Eyerly
2014-Oct-04 20:37 UTC
[R] Inference() Function Insisting That I Use ANOVA Versus Two-Sided Hypothesis Test; R/RStudio
Hello All. I'm trying to use a custom function called Inference() as seen in the code below. There's no documentation for the function, but it is from my DASI class in Coursera. According to the feedback I have received, I am using the function properly. I'm trying to do a two-sided hypothesis test between my class variable and my wordsum variable. However, the function/R/R Studio keep insisting I do an ANOVA test. This doesn't work for me since I'm trying to reject the null, and create a confidence interval between the difference of two independent means. I've looked at the function, but as I'm no R expert, I don't see anything out of the ordinary. Any help is greatly appreciated. load(url("http://bit.ly/dasi_gss_ws_cl")) source("http://bit.ly/dasi_inference") summary(gss) by(gss$wordsum, gss$class, mean) boxplot(gss$wordsum ~ gss$class) gss_clean = na.omit(subset(gss, class == "WORKING" | class =="LOWER")) inference(y = gss_clean$wordsum, x = gss_clean$class, est = "mean", type = "ht", null = 0, alternative = "twosided", method = "theoretical?) Returns: Response variable: numerical, Explanatory variable: categorical Error: Use alternative = 'greater' for ANOVA or chi-square test. In addition: Warning message: Ignoring null value since it's undefined for ANOVA. Best Regards, Jason Eyerly [[alternative HTML version deleted]]