| 1. 2 Outcomes - Binomial Test-en_US.srt | 5.3 KB | ||
| 1. 2 Outcomes - Binomial Test.mp4 | 22.9 MB | ||
| 1. Analyeses Setup-en_US.srt | 8.4 KB | ||
| 1. Analyeses Setup.mp4 | 19.4 MB | ||
| 1. Big Big 5-en_US.srt | 7 KB | ||
| 1. Big Big 5.mp4 | 22.5 MB | ||
| 1. Coorelation-en_US.srt | 7 KB | ||
| 1. Coorelation.mp4 | 34.1 MB | ||
| 1. Demonstrations Introduction-en_US.srt | 819.2 B | ||
| 1. Demonstrations Introduction.mp4 | 4.1 MB | ||
| 1. Descriptives of Nominal or Ordinal Variables-en_US.srt | 2.7 KB | ||
| 1. Descriptives of Nominal or Ordinal Variables.mp4 | 7.7 MB | ||
| 1. Entering Data and Setting Up Fields-en_US.srt | 4.2 KB | ||
| 1. Entering Data and Setting Up Fields.mp4 | 14.6 MB | ||
| 1. Introduction-en_US.srt | 1.9 KB | ||
| 1. Introduction.mp4 | 10.7 MB | ||
| 1. Tooth growth introduction-en_US.srt | 8.4 KB | ||
| 1. Tooth growth introduction.mp4 | 35.5 MB | ||
| 2. Air Quality Dataset-en_US.srt | 4.5 KB | ||
| 2. Air Quality Dataset.mp4 | 20.4 MB | ||
| 2. Descriptives of Continuous Variables-en_US.srt | 4.7 KB | ||
| 2. Descriptives of Continuous Variables.mp4 | 15.4 MB | ||
| 2. Example First Data Entry-en_US.srt | 3.1 KB | ||
| 2. Example First Data Entry.mp4 | 21.5 MB | ||
| 2. Installation-en_US.srt | 716.8 B | ||
| 2. Installation.mp4 | 2.4 MB | ||
| 2. N Outcomes - Goodness of Fit-en_US.srt | 9.1 KB | ||
| 2. N Outcomes - Goodness of Fit.mp4 | 38.4 MB | ||
| 2. One-Way ANOVA-en_US.srt | 9.1 KB | ||
| 2. One-Way ANOVA.mp4 | 44.1 MB | ||
| 2. Reliability Analyses-en_US.srt | 8.8 KB | ||
| 2. Reliability Analyses.mp4 | 51.6 MB | ||
| 2. T-Tests Introduction-en_US.srt | 819.2 B | ||
| 2. T-Tests Introduction.mp4 | 3.6 MB | ||
| 2. The Output Window-en_US.srt | 5.2 KB | ||
| 2. The Output Window.mp4 | 16.4 MB | ||
| 3. ANOVA-en_US.srt | 11.3 KB | ||
| 3. ANOVA.mp4 | 45.3 MB | ||
| 3. Bugs Dataset Introduction-en_US.srt | 12.8 KB | ||
| 3. Bugs Dataset Introduction.mp4 | 63.8 MB | ||
| 3. Computed Variable Setup-en_US.srt | 2 KB | ||
| 3. Computed Variable Setup.mp4 | 5.7 MB | ||
| 3. Example Descriptives of the Shot Put dataset-en_US.srt | 5.5 KB | ||
| 3. Example Descriptives of the Shot Put dataset.mp4 | 33.6 MB | ||
| 3. Independent Samples - Test of Association-en_US.srt | 11.9 KB | ||
| 3. Independent Samples - Test of Association.mp4 | 54.7 MB | ||
| 3. Linear Regression-en_US.srt | 6.1 KB | ||
| 3. Linear Regression.mp4 | 28.1 MB | ||
| 3. Modules-en_US.srt | 2.9 KB | ||
| 3. Modules.mp4 | 9 MB | ||
| 3. Navigation-en_US.srt | 5.8 KB | ||
| 3. Navigation.mp4 | 16.1 MB | ||
| 3. Principal Component & Exploratory Factor-en_US.srt | 12.1 KB | ||
| 3. Principal Component & Exploratory Factor.mp4 | 49.3 MB | ||
| 4. Confirmatory Factor Analyses-en_US.srt | 5.4 KB | ||
| 4. Confirmatory Factor Analyses.mp4 | 33.4 MB | ||
| 4. Independent Samples T-Test-en_US.srt | 4.4 KB | ||
| 4. Independent Samples T-Test.mp4 | 20.4 MB | ||
| 4. Models-en_US.srt | 11.1 KB | ||
| 4. Models.mp4 | 51.8 MB | ||
| 4. Paired Samples - McNemar Test-en_US.srt | 4.3 KB | ||
| 4. Paired Samples - McNemar Test.mp4 | 17.6 MB | ||
| 4. Repeated Measures ANOVA-en_US.srt | 9.9 KB | ||
| 4. Repeated Measures ANOVA.mp4 | 48.8 MB | ||
| 4. Syntax Mode-en_US.srt | 10 KB | ||
| 4. Syntax Mode.mp4 | 33.9 MB | ||
| 4. Transformed Variable Setup-en_US.srt | 4.2 KB | ||
| 4. Transformed Variable Setup.mp4 | 14.1 MB | ||
| 5. Dataset Introduction-en_US.srt | 12.9 KB | ||
| 5. Dataset Introduction.mp4 | 57 MB | ||
| 5. Example Shot put and first data entry descriptives code used in RStudio-en_US.srt | 4.1 KB | ||
| 5. Example Shot put and first data entry descriptives code used in RStudio.mp4 | 34.4 MB | ||
| 5. Importing Data-en_US.srt | 1.1 KB | ||
| 5. Importing Data.mp4 | 4.7 MB | ||
| 5. Irist Dataset introduction-en_US.srt | 13.5 KB | ||
| 5. Irist Dataset introduction.mp4 | 59.4 MB | ||
| 5. Log Linear Regression-en_US.srt | 7.6 KB | ||
| 5. Log Linear Regression.mp4 | 43 MB | ||
| 5. Paired Samples T-Test-en_US.srt | 6.4 KB | ||
| 5. Paired Samples T-Test.mp4 | 28.7 MB | ||
| 6. ANCOVA-en_US.srt | 2.2 KB | ||
| 6. ANCOVA.mp4 | 12.7 MB | ||
| 6. Binomial Logistic Regression-en_US.srt | 3.1 KB | ||
| 6. Binomial Logistic Regression.mp4 | 13.3 MB | ||
| 6. Example Importing the Shot put dataset and creating some new variables-en_US.srt | 7.9 KB | ||
| 6. Example Importing the Shot put dataset and creating some new variables.mp4 | 52.8 MB | ||
| 6. One-Sample T-Test-en_US.srt | 6.7 KB | ||
| 6. One-Sample T-Test.mp4 | 34.2 MB | ||
| 7. Filters-en_US.srt | 2.9 KB | ||
| 7. Filters.mp4 | 6 MB | ||
| 7. MANCOVA-en_US.srt | 10.2 KB | ||
| 7. MANCOVA.mp4 | 69.2 MB | ||
| 7. Multinomial Logistic Regression-en_US.srt | 13.2 KB | ||
| 7. Multinomial Logistic Regression.mp4 | 56.4 MB | ||
| 8. Example Some simple filters on the Shot put dataset-en_US.srt | 2.8 KB | ||
| 8. Example Some simple filters on the Shot put dataset.mp4 | 21.1 MB | ||
| 8. Ordinal Logistic Regression-en_US.srt | 8.2 KB | ||
| 8. Ordinal Logistic Regression.mp4 | 40.7 MB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| Installing Flexplot in R + link to guide.html | 2 KB | ||
| Supporting Files.html | 307.2 B | ||
| ▲ 102 total files | |||
Jamovi: A Powerful R-based Statistical Analyses Tool
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.41 GB | Duration: 4h 27m
What you'll learn
Install, run, and navigate Jamovi and Jamovi Modules
Import data, define variables, create new computed and transformed variables; Filter data and Export Results
Install R, RStudio, Jamovi RPackages, and use jamovi's syntax mode code in R
nstrations of each Jamovi's Base Analyses: T-Tests, ANOVAs, Regressions, Frequencies and Factor
Requirements
Some familiarity with stats and spreadsheets
Description
Complete Beginner Course
If you're looking for a tool that can help you get started on your research and analyses and have decided to go with Jamovi, then this is the right course for you. This course will give you an introductory overview of how to use Jamovi and what it's main features are. Anyone can take this course. You don't have to be a stats expert or some kind of special researcher. It's mainly about how to use the tool, Jamovi.
Get Started with R Programming
If you're learning the R programming language, this is a handy tool to have under your belt. Its syntax mode can act like a little cheat code generator for you to use in R and instantaneously be able to do everything that you can do in Jamovi in RStudio.
Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 958.9 MB | freecoursewb | 5 years | 0 | 0 | |
|
[ FreeCourseWeb ] Udemy - Web Scraping for Data Science - Python & Selenium - Basics Posted by
freecoursewb in Other
|
1.5 GB | freecoursewb | 5 years | 0 | 2 |
|
[ FreeCourseWeb ] Udemy - Ultimate JavaScript Arrays plus One To-Do List Project Posted by
freecoursewb in Other
|
506 MB | freecoursewb | 5 years | 0 | 0 |
| 615 MB | freecoursewb | 5 years | 0 | 1 | |
|
[ FreeCourseWeb ] Udemy - The Complete Google Docs Course - Google Docs Tricks & Tips Posted by
freecoursewb in Other
|
1.8 GB | freecoursewb | 5 years | 0 | 1 |
All Comments