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Tony Carlsen
Canada
Приєднався 4 бер 2021
Here I'll be posting videos about using statistical software packages to run various analyses, and other educational stuff. Make some requests in the comments!
EasyR - Tidyverse 3: Using the "pipe" operator in R and transforming data from wide to long format.
In this final installment looking at the tidyverse package in R, we will learn how to use the pipe operator function to "string" together commands and make our code more readable. In addition, we will learn to use the pivot_longer and pivot_wider() commands to transform datasets between "wide format" and "long format".
Links to video sections and data files are in the description below.
Data files used in this video:
mindfulness.csv: www.mediafire.com/file_premium/dbsx5b6v066hj7v/mindfulness.csv/file
RTs_wide.csv: www.mediafire.com/file_premium/x35iagsd2n0bx6k/RTs_wide.csv/file
coreT_wide.csv: www.mediafire.com/file_premium/9x7x659raqjsn6s/coreT_wide.csv/file
Sections:
00:00 Intro, loading required packages and datasets
02:43 Why we want to use the pipe operator
13:52 Rearranging a dataset prior to analysis
16:32 Changing a dataset from long to wide format
23:00 Doing the same process using the pipe operator
28:32 Pivoting a dataset from wide to long format
40:00 Pivoting another dataset from wide to long format
Links to video sections and data files are in the description below.
Data files used in this video:
mindfulness.csv: www.mediafire.com/file_premium/dbsx5b6v066hj7v/mindfulness.csv/file
RTs_wide.csv: www.mediafire.com/file_premium/x35iagsd2n0bx6k/RTs_wide.csv/file
coreT_wide.csv: www.mediafire.com/file_premium/9x7x659raqjsn6s/coreT_wide.csv/file
Sections:
00:00 Intro, loading required packages and datasets
02:43 Why we want to use the pipe operator
13:52 Rearranging a dataset prior to analysis
16:32 Changing a dataset from long to wide format
23:00 Doing the same process using the pipe operator
28:32 Pivoting a dataset from wide to long format
40:00 Pivoting another dataset from wide to long format
Переглядів: 67
Відео
EasyR - Using tidyverse to easily clean your dataset in R (part 2): mutate, recode, and summarize.
Переглядів 4214 днів тому
Here we will continue to learn how to use the tidyverse package in R to clean up a dataset. We use the mutate function to calculate new data columns, the recode function to change the values of a set of data, and the summarize function to make calculations across rows of data. Links to video sections and data files are in the description below. Data files used in this video: heights_long.csv: w...
EasyR - Using tidyverse to easily clean your dataset in R (part 1): filter, select and arrange.
Переглядів 6414 днів тому
Here we will learn how to use the tidyverse package in R to clean up or "wrangle" a dataset. We use the filter function to subset out particular values, the select function to only include or to subset particular columns, and the arrange function to sort data in ascending or descending order.. Links to video sections and data files are in the description below. Data files used in this video: he...
EasyR - Visualizations 1: How to easily plot a single variable in R
Переглядів 54Місяць тому
In this video I show you some easy ways to graph / plot / visualize univariate data (single variables). This includes how to create boxplots and histograms in a few different ways. At the end of the video we discuss some common error messages you might encounter. Links to video sections and data files are in the description below. Data files used in this video: heights_wide.csv: www.mediafire.c...
EasyR - Add-on functions that make descriptive statistics even EasyR
Переглядів 71Місяць тому
Here we will learn to install new packages that add functionality to R to make calculating descriptive statistics super easy! Links to video sections and data files are in the description below. Data files used in this video: heights_wide.csv: www.mediafire.com/file_premium/zd2mksezdjnpvwe/heights_wide.csv/file heights_long.csv: www.mediafire.com/file_premium/94qo5y6bhqvzo8l/heights_long.csv/fi...
EasyR - How to easily calculate basic descriptive statistics in R
Переглядів 110Місяць тому
This video will demonstrate some easy commands used to start to analyze your data in a descriptive way. this includes how to calculate mean (average), median, range, quartiles, variance, and standard deviation. Links to video sections and data files are in the description below. Data files used in this video: heights_wide.csv: www.mediafire.com/file_premium/zd2mksezdjnpvwe/heights_wide.csv/file...
EasyR - Creating your first project and script in R
Переглядів 82Місяць тому
This video tutorial introduces you to projects and script files in R and RStudio environment as well as more complex variables. In this video you will learn how to easily work with script files and more complex objects like vectors and data frames. This video is a must see if you are new to using R statistical software.
EasyR - Getting started with R the easy way
Переглядів 86Місяць тому
This video tutorial will introduce you to R and the RStudio environment and will easily and quicky get you started on working with R. You will gain insight into basic inputs and outputs, and how to create objects and variables. This video is a must see if you are new to using R statistical software.
How to Easily install JASP on Windows 11 (2025)
Переглядів 90Місяць тому
This video shows you step by step how to install JASP statistical software on Windows 11 computers. This video shows the process in December 2024 using JASP version 0.19.1
The Easiest way to install R and RStudio on Windows 11 (2025)
Переглядів 244Місяць тому
This video details the easy steps to download and install the R statistical package and the RStudio environment on Windows 11 in 2025. This video shows R version 4.4.2 and RStudio 2024.09
How to Correctly install R and RStudio on MacOS (2025)
Переглядів 554Місяць тому
This video shows you step by step how to install R statistical software and RStudio on Apple Mac OS computers. This video shows the process in 2024 using MacOS 13 Ventura, and R version 4.4.2
The Easy way to Install JASP on MacOS (2025)
Переглядів 290Місяць тому
This video shows you step by step how to install JASP statistical software on Apple Mac OS computers. This video shows the process in December 2024 using MacOS 13 Ventura, and JASP version 0.19.1
Stats Apps Tutorials: 27. Nonparametric analysis in R
Переглядів 4323 роки тому
Links to video sections and data files are in the description below. In this tutorial video we tackle common non-parametric tests in R and RStudio including the Mann-Whitney U, Wilcoxon signed ranks test, Kruskal-Wallis test and Friedman's ANOVA. Data files used in this video: apathy.csv: www.mediafire.com/file/trzfea4evzgr28j/apathy.csv/file apathy-2day.csv: www.mediafire.com/file/vsuj5548jqsn...
Stats Apps Tutorials: 25. Nonparametric analysis in SPSS
Переглядів 3853 роки тому
Links to video sections and data files are in the description below. In this tutorial video we tackle common non-parametric tests in SPSS including the Mann-Whitney U, Wilcoxon signed ranks test, Kruskal-Wallis test and Friedman's ANOVA. Data files used in this video: apathy.sav: www.mediafire.com/file/jt6ar0iwq1ihekj/apathy.sav/file apathy-2day.sav: www.mediafire.com/file/x5hjpqcmsxiyxvb/apath...
Stats Apps Tutorials: 26. Nonparametric analysis in JASP
Переглядів 4,4 тис.3 роки тому
Links to video sections and data files are in the description below. In this tutorial video we tackle common non-parametric tests in JASP including the Mann-Whitney U, Wilcoxon signed ranks test, Kruskal-Wallis test and Friedman's ANOVA. Data files used in this video: apathy.csv: www.mediafire.com/file/trzfea4evzgr28j/apathy.csv/file apathy-2day.csv: www.mediafire.com/file/vsuj5548jqsn271/apath...
Stats Apps Tutorials: 24. Binary logistic regression in SPSS, JASP, and R
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Stats Apps Tutorials: 24. Binary logistic regression in SPSS, JASP, and R
Stats Apps Tutorials: 23. How to run Linear Mixed Effects Models in SPSS, JASP, and R
Переглядів 49 тис.3 роки тому
Stats Apps Tutorials: 23. How to run Linear Mixed Effects Models in SPSS, JASP, and R
Stats Apps Tutorials: 22. Repeated measures ANOVA, 2-way ANOVA, and mixed models in R
Переглядів 6 тис.3 роки тому
Stats Apps Tutorials: 22. Repeated measures ANOVA, 2-way ANOVA, and mixed models in R
Stats Apps Tutorials: 21. Repeated measures ANOVA, 2-way ANOVA, and mixed models in SPSS
Переглядів 1,3 тис.3 роки тому
Stats Apps Tutorials: 21. Repeated measures ANOVA, 2-way ANOVA, and mixed models in SPSS
Stats Apps Tutorials: 20. Repeated measures ANOVA, 2-way ANOVA, and mixed models in JASP
Переглядів 2,4 тис.3 роки тому
Stats Apps Tutorials: 20. Repeated measures ANOVA, 2-way ANOVA, and mixed models in JASP
Stats Apps Tutorials: 19. One-way ANOVA in R and interpreting the output
Переглядів 1953 роки тому
Stats Apps Tutorials: 19. One-way ANOVA in R and interpreting the output
Stats Apps Tutorials: 18. Running and interpreting one-way ANOVA in SPSS
Переглядів 603 роки тому
Stats Apps Tutorials: 18. Running and interpreting one-way ANOVA in SPSS
Stats Apps Tutorials: 17. Running a one-way ANOVA in JASP and interpreting the output
Переглядів 3523 роки тому
Stats Apps Tutorials: 17. Running a one-way ANOVA in JASP and interpreting the output
Stats Apps Tutorials: 16. One-way ANOVA in Excel (by hand)
Переглядів 1283 роки тому
Stats Apps Tutorials: 16. One-way ANOVA in Excel (by hand)
Stats Apps Tutorials: 15. Regression diagnostics in Excel, SPSS, JASP, and R
Переглядів 3233 роки тому
Stats Apps Tutorials: 15. Regression diagnostics in Excel, SPSS, JASP, and R
Stats Apps Tutorials: 14. Multiple regression in Excel, SPSS, JASP, and R
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Stats Apps Tutorials: 14. Multiple regression in Excel, SPSS, JASP, and R
Stats Apps Tutorials: 13. Linear regression in SPSS, Excel, JASP, and R
Переглядів 1013 роки тому
Stats Apps Tutorials: 13. Linear regression in SPSS, Excel, JASP, and R
Stats Apps Tutorials: 12. Correlation analysis in Excel, SPSS, JASP, and R
Переглядів 2483 роки тому
Stats Apps Tutorials: 12. Correlation analysis in Excel, SPSS, JASP, and R
Stats Apps Tutorials: 11. Using G*Power to determine required sample size
Переглядів 1563 роки тому
Stats Apps Tutorials: 11. Using G*Power to determine required sample size
Stats Apps Tutorials: 10. Are your data normally distributed? Outliers? What next?
Переглядів 2453 роки тому
Stats Apps Tutorials: 10. Are your data normally distributed? Outliers? What next?