Lesson 08: Univariate Stats
Lesson 08: Univariate Stats
Today’s lesson focused on running univariate statistics to begin filling out “Table 1” which is often the first table presented in a manuscript that describes the variables of interest for the overall samples and sometimes by group if applicable to the study.
This lesson will also help you begin to complete Homework 3 https://melindahiggins2000.github.io/N736/homework03.html.
Data and Code for Today
Here are direct links for the data and code files for today’s lesson: (right click these to save the file to your computer)
SPSS
- HELP Dataset - SPSS format https://github.com/melindahiggins2000/N736_lesson_Univariate/raw/master/helpmkh.sav
- SPSS SYNTAX - Code for Univariate Statistics https://github.com/melindahiggins2000/N736_lesson_Univariate/raw/master/HELP_univariate_SPSSsyntax.sps
SAS
- HELP Dataset - SAS Format https://github.com/melindahiggins2000/N736_lesson_Univariate/raw/master/helpmkh.sas7bdat
- HELP Dataset Formats - SAS Format https://github.com/melindahiggins2000/N736_lesson_Univariate/raw/master/formats.sas7bcat
- SAS Program - Code for Univariate Statistics https://github.com/melindahiggins2000/N736_lesson_Univariate/raw/master/HELP_univariate_SAScode.sas
R
- HELP Dataset - R Format https://github.com/melindahiggins2000/N736_lesson_Univariate/raw/master/help.Rdata
- R Program - Code for Univariate Statistics https://github.com/melindahiggins2000/N736_lesson_Univariate/raw/master/HELP_univariate_Rcode.R
Github repository with data, code and files
The Github repository for today’s lesson with all of the data, code and files, is located at https://github.com/melindahiggins2000/N736_lesson_Univariate. You can click on “CLONE or DOWNLOAD” to download the entire set of files in the repository as a ZIP file to your hard drvie. Remember to UNZIP (EXTRACT) these compressed files BEFORE you try running or editing the code. Alternatively, if you have your own Github account, feel free to “fork” a copy of my repository to your own account.
Copyright © Melinda Higgins, Ph.D.. All contents under (CC) BY-NC-SA license,
unless otherwise noted.