All, I am new to the vcd package and new to R too.
1) I have a lickert analysis based data set. 2) I am doing a hypothesis tests on the variables ( like, is there a relationship between the choice of a Doctor based on the Patients Income , that's just one example) 3) I am building contingency tables ( R x C) and running chiqsqr.test on these tables. These are mostly 2 x 2 tables. In some cases I am getting very low counts of the variables in these ( R x C ) tables. I wanted to know at what point do I need to use chisqr.test with correction fishers exact test How do I show if there is any association between the variables in the R x C setup?Should be I using oddratio() or or assocstats() or should I use Cramers V test for 2 x 2 tables. Please, advice or lead me to a source. *Example of Case - Age of patients and If the Dr Justified a Diagnostic Test on them.* DrJustifyDgntTstNo DrJustifyDgntTstYes Age21-40 1 91 Age41-50 4 30 GtrThan51 3 50 Thanks in advance, Harmeet [[alternative HTML version deleted]] ______________________________________________ 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.