14 questions linked to/from $\chi^2$ of multidimensional data
663 views

### Chi-squared test for three-way contingency table (i.e., array) in R [duplicate]

In base R, the function chisq.test() "performs chi-squared contingency table tests and goodness-of-fit tests". However, ...
4k views

### Contingency tables: what tests to do and when?

I'd like to see an extension of this discussion of the age-old chi-sq vs. Fisher's exact test debate, broadening the scope a bit. There are many many tests for interactions in a contingency table, ...
5k views

### Statistical test for n x m contingency tables

I have a dataset made up of elements from three groups, let's call them G1, G2, and G3. I analysed certain characteristics of these elements and divided them into 3 types of "behaviour" T1, T2, and T3 ...
579 views

### Chi-squared test: Investigating fruit flies attraction to different colours

I have a few questions about the Chi-squared test. First of all, this is what I was investigating: H0: Fruit flies show no difference in attraction to light of different colours Protocol: 20 fruit ...
780 views

### $\chi^2$ test of homogeneity for three-way contingency table

I have a three-way contingency table in which the marginal totals for two sides are fixed and for the third are random. I'm wondering how to perform a chi-square test for homogeneity for such a three-...
1k views

### Are log-linear models exponential models?

What is usually referred to as "log-linear models"? Is a log-linear model an exponential model where the normalization constant is 1 (since its logarithm needs to be a linear function)? Or is there ...
440 views

### How to combine p values? [closed]

I have three datasets A, B and C. A and C can construct a contingency table, and I can get a p value (pValue1) with Fisher's exact test. B and C can construct another contingency table, and I can get ...
351 views

### Calculation of Pearson's Chi-squared statistic

I am having difficulty in how to calculate the Pearson's $\chi^2$ statistic for a contingency table with entries: (3, 0) and ...
268 views

### Effect size for log linear models

My understanding is Cramer's V is a measure of the correlation between two discrete variables can be used as an effect size measure for a chi-squared test for observations in a two-way contingency ...
90 views

### Cooccurence of Two Categorical Variables

I am trying to calculate if there is a dependence between two categorical columns, or a significant cooccurence of two categorical variables. Let's say I have columns A and B, and and out of 200K ...
106 views

### Single statistics resuming the variance of a two-dimensional discrete matrix

I have a set of data described by two qualitative variables. The data can therefore be analysed as a matrix, showing how many occurrences there are at each intersection of the two variables' levels. ...
114 views

### Independent Poisson variables in comparison of confusion matrices

I want to compare two confusion matrices, as I discuss here, and I have realized that examining the accuracy of each model is inadequate for such a comparison. Gung gave a nice answer about how to ...
I have two groups, say $\text{G}$ and $\text{H}$, and they each perform a classification task. Let's say that I get the following confusion matrices \text{G's Performance}\\ \begin{array} &&...