[ FreeCourseWeb ] Udemy - Jamovi - A Powerful R-based Statistical Analyses Tool

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[ FreeCourseWeb.com ] Udemy - Jamovi - A Powerful R-based Statistical Analyses Tool
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction-en_US.srt (1.9 KB)
    • 1. Introduction.mp4 (10.7 MB)
    • 2. Installation-en_US.srt (0.7 KB)
    • 2. Installation.mp4 (2.4 MB)
    • 3. Navigation-en_US.srt (5.8 KB)
    • 3. Navigation.mp4 (16.1 MB)
    2. New Variables & Filters
    • 1. Entering Data and Setting Up Fields-en_US.srt (4.2 KB)
    • 1. Entering Data and Setting Up Fields.mp4 (14.6 MB)
    • 2. Example First Data Entry-en_US.srt (3.1 KB)
    • 2. Example First Data Entry.mp4 (21.5 MB)
    • 3. Computed Variable Setup-en_US.srt (2.0 KB)
    • 3. Computed Variable Setup.mp4 (5.7 MB)
    • 4. Transformed Variable Setup-en_US.srt (4.2 KB)
    • 4. Transformed Variable Setup.mp4 (14.1 MB)
    • 5. Importing Data-en_US.srt (1.1 KB)
    • 5. Importing Data.mp4 (4.7 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)
    • 7. Filters-en_US.srt (2.9 KB)
    • 7. Filters.mp4 (6.0 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)
    • Supporting Files.html (0.3 KB)
    3. Analyses Overview
    • 1. Analyeses Setup-en_US.srt (8.4 KB)
    • 1. Analyeses Setup.mp4 (19.4 MB)
    • 2. The Output Window-en_US.srt (5.2 KB)
    • 2. The Output Window.mp4 (16.4 MB)
    • 3. Modules-en_US.srt (2.9 KB)
    • 3. Modules.mp4 (9.0 MB)
    4. Descriptives, Syntax Mode, and R
    • 1. Descriptives of Nominal or Ordinal Variables-en_US.srt (2.7 KB)
    • 1. Descriptives of Nominal or Ordinal Variables.mp4 (7.7 MB)
    • 2. Descriptives of Continuous Variables-en_US.srt (4.7 KB)
    • 2. Descriptives of Continuous Variables.mp4 (15.4 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)
    • 4. Syntax Mode-en_US.srt (10.0 KB)
    • 4. Syntax Mode.mp4 (33.9 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. T-Tests Demonstrations
    • 1. Demonstrations Introduction-en_US.srt (0.8 KB)
    • 1. Demonstrations Introduction.mp4 (4.1 MB)
    • 2. T-Tests Introduction-en_US.srt (0.8 KB)
    • 2. T-Tests Introduction.mp4 (3.6 MB)
    • 3. Bugs Dataset Introduction-en_US.srt (12.8 KB)
    • 3. Bugs Dataset Introduction.mp4 (63.8 MB)
    • 4. Independent Samples T-Test-en_US.srt (4.4 KB)
    • 4. Independent Samples T-Test.mp4 (20.4 MB)
    • 5. Paired Samples T-Test-en_US.srt (6.4 KB)
    • 5. Paired Samples T-Test.mp4 (28.7 MB)
    • 6. One-Sample T-Test-en_US.srt (6.7 KB)
    • 6. One-Sample T-Test.mp4 (34.2 MB)
    6. ANOVA Demonstrations
    • 1. Tooth growth introduction-en_US.srt (8.4 KB)
    • 1. Tooth growth introduction.mp4 (35.5 MB)
    • 2. One-Way ANOVA-en_US.srt (9.1 KB)
    • 2. One-Way ANOVA.mp4 (44.1 MB)
    • 3. ANOVA-en_US.srt (11.3 KB)
    • 3. ANOVA.mp4 (45.3 MB)
    • 4. Repeated Measures ANOVA-en_US.srt (9.9 KB)
    • 4. Repeated Measures ANOVA.mp4 (48.8 MB)
    • 5. Irist Dataset introduction-en_US.srt (13.5 KB)
    • 5. Irist Dataset introduction.mp4 (59.4 MB)
    • 6. ANCOVA-en_US.srt (2.2 KB)
    • 6. ANCOVA.mp4 (12.7 MB)
    • 7. MANCOVA-en_US.srt (10.2 KB)
    • 7. MANCOVA.mp4 (69.2 MB)
    • Installing Flexplot in R + link to guide.html (2.0 KB)
    7. Regression Demonstrations
    • 1. Coorelation-en_US.srt (7.0 KB)
    • 1. Coorelation.mp4 (34.1 MB)
    • 2. Air Quality Dataset-en_US.srt (4.5 KB)
    • 2. Air Quality Dataset.mp4 (20.4 MB)
    • 3. Linear Regression-en_US.srt (6.1 KB)
    • 3. Linear Regression.mp4 (28.1 MB)
    • 4. Models-en_US.srt (11.1 KB)
    • 4. Models.mp4 (51.8 MB)
    • 5. Dataset Introduction-en_US.srt (12.9 KB)
    • 5. Dataset Introduction.mp4 (57.0 MB)
    • 6. Binomial Logistic Regression-en_US.srt (3.1 KB)
    • 6. Binomial Logistic Regression.mp4 (13.3 MB)
    • 7. Multinomial Logistic Regression-en_US.srt (13.2 KB)
    • 7. Multinomial Logistic Regression.mp4 (56.4 MB)
    • 8. Ordinal Logistic Regression-en_US.srt (8.2 KB)
    • 8. Ordinal Logistic Regression.mp4 (40.7 MB)
    8. Frequencies Demonstrations
    • 1. 2 Outcomes - Binomial Test-en_US.srt (5.3 KB)
    • 1. 2 Outcomes - Binomial Test.mp4 (22.9 MB)
    • 2. N Outcomes - Goodness of Fit-en_US.srt (9.1 KB)
    • 2. N Outcomes - Goodness of Fit.mp4 (38.4 MB)
    • 3. Independent Samples - Test of Association-en_US.srt (11.9 KB)
    • 3. Independent Samples - Test of Association.mp4 (54.7 MB)
    • 4. Paired Samples - McNemar Test-en_US.srt (4.3 KB)
    • 4. Paired Samples - McNemar Test.mp4 (17.6 MB)
    • 5. Log Linear Regression-en_US.srt (7.6 KB)
    • 5. Log Linear Regression.mp4 (43.0 MB)
    9. Factor Demonstrations
    • 1. Big Big 5-en_US.srt (7.0 KB)
    • 1. Big Big 5.mp4 (22.5 MB)
    • 2. Reliability Analyses-en_US.srt (8.8 KB)
    • 2. Reliability Analyses.mp4 (51.6 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)
    • Bonus Resources.txt (0.3 KB)

Description

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.

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[ FreeCourseWeb ] Udemy - Jamovi - A Powerful R-based Statistical Analyses Tool

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[ FreeCourseWeb ] Udemy - Jamovi - A Powerful R-based Statistical Analyses Tool

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