I have a table of counts with 4 columns and 25 rows. What statistical test should be used to asses significance for values within each row? In other words I want to perform significance testing on individual rows to see if there is homogeneity. I was thinking of something similar to rowwise ANOVA, except I have counts instead of means. Can chi squared be performed on individual rows? I am using R to perform this analysis.
Edit: Mainly, I want to do a significance test of each row, so 25 tests. However, I'm not sure whether a chi-squared test for just 4 values would make statistical sense.
r = c(23,15,25,40); chisq.test(r)
rejects probability 1/4 in each cell with P-value near $0$ for that one row. // Do you want no comparisons among the 25 rows? If not, why mention them? What if half the rows had proportions $(.2, .2, .2, .4)?$ Would that be interesting? $\endgroup$