| 1 - 10-set-project-folder.R | 102.4 B | ||
| 1 - Creating APA Style Frequency Tables in R Studio.mp4 | 66.1 MB | ||
| 1 - Creating Contingency Tables in R Studio.mp4 | 84.9 MB | ||
| 1 - Find Number of NA Values for Each Observation in R.mp4 | 81.2 MB | ||
| 1 - InstallIing R & R Studio.mp4 | 29 MB | ||
| 1 - Minimal Data Screening in R.pptx | 518 KB | ||
| 1 - Saving and Opening R Files.mp4 | 100.5 MB | ||
| 1 - Setting Up an R Project Folder.mp4 | 59.8 MB | ||
| 1 - apa-frequency-tables.R | 819.2 B | ||
| 1 - contingency-tables.R | 307.2 B | ||
| 1 - count-na-per-observation.R | 307.2 B | ||
| 1 - health-costs.csv | 40.2 KB | ||
| 1 - save-and-open-r-files.R | 614.4 B | ||
| 1 -Course Overview & Data Files.url | 102.4 B | ||
| 1 -Download R Studio from this URL.url | 102.4 B | ||
| 1 -Download R from this URL.url | 0 B | ||
| 2 - 20-import-csv-data.R | 512 B | ||
| 2 - Creating APA Style Descriptives Tables in R Studio.mp4 | 92.6 MB | ||
| 2 - Descriptive Statistics for Separate Groups in R Studio.mp4 | 88.5 MB | ||
| 2 - Importing CSV Files into R Studio.mp4 | 86.5 MB | ||
| 2 - Importing Excel (.xlsx) Data Files into R.mp4 | 62.7 MB | ||
| 2 - R Studio - Absolute Basics.mp4 | 162.8 MB | ||
| 2 - R Studio - Removing Observations from Dataframes.mp4 | 131.3 MB | ||
| 2 - absolute-basics.R | 307.2 B | ||
| 2 - apa-descriptives-tables.R | 409.6 B | ||
| 2 - descriptive-statistics-for-subgroups.R | 819.2 B | ||
| 2 - divorced.xlsx | 8.7 KB | ||
| 2 - health-costs.csv | 40.2 KB | ||
| 2 - r-import-excel.R | 614.4 B | ||
| 2 - removing-observations-from-dataframes.R | 1.6 KB | ||
| 3 - 30-visual-inspection-dataframe.R | 307.2 B | ||
| 3 - Creating Scatterplots in R Studio.mp4 | 141.7 MB | ||
| 3 - Importing SPSS (.sav) Data Files into R.mp4 | 79 MB | ||
| 3 - Packages in R Studio.mp4 | 82.4 MB | ||
| 3 - Removing & Reordering Variables in R.mp4 | 89.9 MB | ||
| 3 - Visually Inspecting Dataframes in R.mp4 | 74.9 MB | ||
| 3 - creating-scatterplots-in-r-studio.R | 716.8 B | ||
| 3 - health-costs.csv | 40.2 KB | ||
| 3 - hospital.sav | 14.5 KB | ||
| 3 - packages.R | 409.6 B | ||
| 3 - r-import-spss.R | 409.6 B | ||
| 3 - remove-or-reorder-variables.R | 819.2 B | ||
| 4 - 40-inspect-variable-types.R | 409.6 B | ||
| 4 - Computing Means over Variables in R Studio.mp4 | 63.5 MB | ||
| 4 - Exporting R Tables to Excel.mp4 | 100.4 MB | ||
| 4 - Inspecting Variable Types in R.mp4 | 158.1 MB | ||
| 4 - Run & Interpret Pearson Correlations with NA Values in R Studio.mp4 | 138 MB | ||
| 4 - compute-means-over-variables.R | 512 B | ||
| 4 - health-costs.csv | 40.2 KB | ||
| 4 - pearson-correlations.R | 512 B | ||
| 4 - r-tables-to-excel.R | 819.2 B | ||
| 5 - 50-check-if-id-unique.R | 307.2 B | ||
| 5 - Checking if ID Values Are Unique.mp4 | 75.8 MB | ||
| 5 - Computing Sums over Variables in R Studio.mp4 | 110.4 MB | ||
| 5 - Exporting R Plots as .PNG Files.mp4 | 85.1 MB | ||
| 5 - compute-sums-over-variables.R | 716.8 B | ||
| 5 - export-plots-as-png-files.R | 614.4 B | ||
| 5 - health-costs.csv | 40.2 KB | ||
| 6 - Creating Basic Bar Plots in R.mp4 | 109.2 MB | ||
| 6 - zzud-4150a.mp4 | 608.2 MB | ||
| 7 - 70-basic-histograms.R | 409.6 B | ||
| 7 - Creating Basic Histograms in R.mp4 | 82.2 MB | ||
| 7 - health-costs.csv | 40.2 KB | ||
| 8 - 80-count-na-per-variable.R | 204.8 B | ||
| 8 - Counting NA Values Per Variable in R.mp4 | 62.8 MB | ||
| 8 - health-costs.csv | 40.2 KB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 69 total files | |||
R Studio - A Crash Course
https://WebToolTip.com
Published 9/2025
Created by Statistics Made Simple
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 27 Lectures ( 5h 18m ) | Size: 3.1 GB
The ultimate guide for importing, editing & analyzing real-world data files
What you'll learn
Work fast and accurately with R Studio
Perform essential data editing and analysis skills in R
Screen data files for common issues and correct these if necessary
Create nicely detailed tables for frequencies, descriptives, correlations and more
Create decent bar charts, histogram, scatterplots and more
Requirements
You don't need any prior knowledge. However, minimal statistics (measurement levels, standard deviation, ...) is helpful for some of the lectures.
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