Automated Statistical Test"

In automatedtests: Automating Choosing Statistical Tests

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title: "Automated Statistical Test" author: "Wouter Zeevat" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Automated Statistical Test} %\VignetteEngine{knitr::rmarkdown} \usepackage{graphicx}

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Introduction

The automatedtests package automatically selects and runs the most appropriate statistical test for your data, no manual decision-making needed. The function works with both individual vectors or a data frame and provides the results in an easy-to-understand format, which includes the test used and all the relevant statistics.

Supported Tests

| Number | Test | | ------ | ---------------------------------------- | | 1 | One-proportion test | | 2 | Chi-square goodness-of-fit test | | 3 | One-sample Student's t-test | | 4 | One-sample Wilcoxon test | | 5 | Multiple linear regression | | 6 | Binary logistic regression | | 7 | Multinomial logistic regression | | 8 | Pearson correlation | | 9 | Spearman's rank correlation | | 10 | Cochran's Q test | | 11 | McNemar's test | | 12 | Fisher's exact test | | 13 | Chi-square test of independence | | 14 | Student's t-test for independent samples | | 15 | Welch's t-test for independent samples | | 16 | Mann-Whitney U test | | 17 | Student's t-test for paired samples | | 18 | Wilcoxon signed-rank test | | 19 | One-way ANOVA | | 20 | Welch's ANOVA | | 21 | Repeated measures ANOVA | | 22 | Kruskal-Wallis test | | 23 | Friedman test |

Usage of automatical_test()

The automatical_test() function can be used with both individual vectors or a data frame. It automatically selects the most suitable statistical test based on the data provided.

Example 1: Using Individual Vectors

In this example, we will use two vectors: Species and Sepal.Length from the iris dataset. We will use the automatical_test() function to automatically choose the best statistical test for these vectors.

# Load the package
library(automatedtests)

# Example 1: Using individual vectors from the iris dataset
test1 <- automatical_test(iris$Species, iris$Sepal.Length, identifiers = FALSE)

# View the result summary
print(test1$get_result())

In this case, the function automatically selects the best statistical test based on the data's distribution and other characteristics.

Example 2: Forcing a Paired Test

Here, we simulate a before-and-after scenario, where data is collected before and after an intervention. The automatical_test() function can be instructed to use paired tests by setting the paired argument to TRUE.

# Example 2: Forcing a paired test
before <- c(200, 220, 215, 205, 210)
after <- c(202, 225, 220, 210, 215)
paired_data <- data.frame(before, after)

# Perform the paired test
test2 <- automatical_test(before, after, paired = TRUE)

# View the result summary
print(test2$get_result())

By setting paired = TRUE, the function forces the use of a paired statistical test, even if identifiers are not provided.

Example 3: One-Sample Test with Custom Compare Value

You can override the default compare_to value to perform one-sample tests. For example, you can test whether the data differs significantly from a specified value.

# Example 3: One-sample test
test3 <- automatical_test(iris$Sepal.Length, compare_to = 5)

# View the result summary
print(test3$get_result()$p.value)

In this case, compare_to = 5 specifies that we are performing a one-sample test where we compare the Sepal.Length to the value 5.

Conclusion

The automatical_test() function simplifies the process of selecting and running statistical tests. It automatically picks the most appropriate test based on the data's structure and characteristics. You can fine-tune its behavior with options like compare_to, identifiers, and paired.

For more detailed information on the results of each test, you can use the get_result() method to retrieve a summary of the test performed.

See Also

• AutomatedTest class for the object returned by the automatical_test() function.
• automatedtests package documentation.

automatedtests documentation built on June 17, 2025, 1:07 a.m.