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Chi-square test

Introduction

Statistical test to evaluate if distribution of variables is different among groups(columns).

How to Access?

How to Use?

Column Selection

There are many ways to select columns. You can choose

- Select Column Names - Listing up columns selecting one by one
- Range of Column Position - Select columns between columns chosen as Start and End
- Starts with - Select columns whose names start with a certain text
- Ends with - Select columns whose names end with a certain text
- Contains - Select columns whose names contain a certain text.
- Matches Regular Expression - Select columns whose names contain a certain text.
- Range of Suffix (X1, X2...) - Select columns names with prefix and numbers.
- Everything - All columns.
- All Numeric Columns - All numeric columns.

Parameters

- Correct Continuity (Optional) - Whether continuity correction will be applied for 2 by 2 tables.
- Probability to Compare (Optional) - This works when one column is selected. A column to be considered as probability to be compared.
- Rescale Probability (Optional) - The default is TRUE. If TRUE, p is rescaled to sum to 1. If FALSE and p doesn't sum to 1, it causes an error.
- Simulate Probability (Optional) - The default is FALSE. Whether p value should be calculated by Monte Carlo simulation.
- Number of Replicates in Monte Carlo Test (B) (Optional) - The default is 2000. This works only when simulate.p.value is TRUE. The number of replicates for Monte Carlo test.

Take a look at the reference document for the 'chisq.test' function from base R for more details on the parameters.

Introduction of Chi-square test feature

Last modified 1mo ago