Data Analysis

Data analysis is the process of exploring and describing trends and results from data. Data analysis typically occurs in two stages: exploratory analysis and final analysis. This page provides guidance on how to organize analysis files and output results in an orderly and reproducible manner.

Reproot setup

reproot_setup - This command sets up and modifies the settings file used in reproot

Syntax

Normal usage: This mode opens the setup settings in a dialog box. It is not intended to be included in code used by others. This command is designed to be run interactively in Stata’s command window.

reproot_setup

Advanced usage: This mode bypasses the dialog box and allows the user to set up and modify the settings file programmatically. It is intended only for advanced use cases.

Reproot

reproot - Command for managing root file paths.

Syntax

reproot, project(string) roots(string) [optroots(string) prefix(string) clear verbose]

Repadolog

repadolog - Outputs a report of what commands are installed in the PLUS folder

Syntax

repadolog [using] , [detail save savepath(string) quietly]

Repado

repado - a command to handle ado-file dependencies

Syntax

repado using adopath , [nostrict lessverbose]

Lint

lint- detects and corrects bad coding practices in Stata do-files.

Syntax

lint “input_file” [using “output_file”] , [options]

The lint command can be broken into two functionalities:

1. Detection identifies bad coding practices in a Stata do-files

2. Correction corrects bad coding practices in a Stata do-file.

Getting started with GitHub

GitHub is a web-based hosting service for managing code work and tracking changes made to code. It is a useful collaborative tool through all stages of research and fieldwork. This page provides resources and links to resources on how to get started with GitHub.