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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8" />
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<title>Camacho Jonathan Final Project</title>
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<a class="navbar-brand" href="index.html">Final Project</a>
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<ul class="nav navbar-nav">
<li>
<a href="index.html">Home</a>
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<a href="Literature_review.html">Literature</a>
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<h1 class="title toc-ignore">Camacho Jonathan Final Project</h1>
</div>
<p>This site was created as a final project for the course MACS 30500 - Computing for the Social Sciences at the University of Chicago.</p>
<p>The purpose was to use R Language to develop a script that extracts p-values from nXML files. Currently, there are scripts with the capability to retrieve p-values form XML. For example, the script “ZENODO” (<a href="https://zenodo.org/record/13147#.WGvjEbGZNFQ" class="uri">https://zenodo.org/record/13147#.WGvjEbGZNFQ</a>) has been used in several research projects as a primary tool for p-value extraction. However, the script was programmed in Python 2.7 which is already an aging version of the programming language.</p>
<p>Similarly, in R language there are packages such as Statcheck (<a href="https://cran.r-project.org/web/packages/statcheck/index.html" class="uri">https://cran.r-project.org/web/packages/statcheck/index.html</a>) that can extract different statistics from articles and recalculate p-values. Nevertheless, this package is no longer compatible with newer versions of R Studio, for example, Version 1.0.44, and requires text files to perform the p-value extraction. Furthermore, the package Statcheck focuses on the recalculation of p-values, which makes the isolation of the p-value a cumbersome task.</p>
<p>Thus, for this final project, I created a script for the extraction of p-values from XML files. Then, I conducted an exploratory analysis and a binomial test for checking for p-values; following Head, M. L., et al (2015) analysis. I hypothesize that the frequency of p-values in the bins just below the threshold p= 0.05 will be the similar and the frequency of p-values will increase as the p-value approaches 0.01. This test assumes that there is a true effect; thus the p-curve is exponentially growing approaching 0.01.</p>
<p>For an interactive app using this data and analysis go to <a href="https://jonathanecm.shinyapps.io/shiny_app/" class="uri">https://jonathanecm.shinyapps.io/shiny_app/</a></p>
</div>
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