Creating publication-ready plots in R is easier than ever with ggpubr. This extension for ggplot2 simplifies the process of generating clean and professional graphics, especially for exploratory data analysis and reporting.
The attached visual, which I created using ggpubr, demonstrates its versatility.
Additional information: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r
Making your data analysis more insightful and informative is effortless with ggstatsplot. This powerful ggplot2 extension in R combines statistical analysis and data visualization in a single workflow, helping you generate plots that include statistical summaries directly on the visualizations.
The attached visual, which I created using ggstatsplot, showcases its capabilities.
Learn more: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r
Today is the final day to register for my courses before a 3-month break with no new enrollments, and your last chance to get a 33% discount.
Here are the courses you can join: https://statisticsglobe.com/courses
If you're still using raw R outputs for presentations, it's time for an upgrade! Tools like gtsummary bring your statistical results to life, making them much more digestible for non-technical audiences.
The visualization included here was originally shared in a post by Dr. Alexander Krannich. Thanks to Alexander for inspiring me to create this post.
More details are available at this link: http://eepurl.com/gH6myT
To give you a sneak peek into my courses, I’ve just published a free video on YouTube that walks through a complete data project in R.
Watch the video here: https://www.youtube.com/watch?v=l2OgRdofp90
Working with text in ggplot2 plots can be a mess, especially when dealing with overlapping labels, busy backgrounds, or the need for custom formatting. Thankfully, several powerful ggplot2 extensions make text manipulation and annotation much easier and more effective.
With these tools, text in ggplot2 becomes much more manageable and visually appealing.
Effective Data Analysis Techniques for Dissertation Writing
Mastering data analysis is key to a successful dissertation! From planning and preparing data to choosing the right methods and tools, it's all about accuracy and insight. Need help? Expert writing services like @SharkPapers, @MyPerfectPaper, and @CollegeEssayOrg have got you covered. #DataAnalysis #DissertationWriting #AcademicSuccess #Research #StatisticalAnalysis #QualitativeResearch
In missing data imputation, it is crucial to compare the distributions of imputed values against the observed data to better understand the structure of the imputed values.
The visualization below can be generated using the following R code:
library(mice)
my_imp <- mice(boys)
densityplot(my_imp)
Take a look here for more details: https://statisticsglobe.com/online-workshop-missing-data-imputation-r
Avoiding text overlap in plots is essential for clarity, and R offers a great solution with the ggplot2 and ggrepel packages. By automatically repositioning labels, ggrepel keeps your plot clean and easy to interpret.
Video: https://www.youtube.com/watch?v=5lu4h_CPhi0
Website: https://statisticsglobe.com/avoid-overlap-text-labels-ggplot2-plot-r
Take a look here for more details: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r
https://www.europesays.com/1760442/ Statistical and data visualization techniques to study the role of one-electron in the energy of neutral and charged clusters of Na39 #Clustering #Data #DataVisualization #DensityFunctionalTheory #Energy #HumanitiesAndSocialSciences #multidisciplinary #Regression #science #SodiumCluster #StatisticalAnalysis #StatisticalPhysics #statistics #TimeSeries
How to Track Your Business’s ROI with Data Analytics: A Complete Guide
#DataAnalytics #ROI #BusinessIntelligence #SmartDecisions #DataDriven #BusinessStrategy #MachineLearning #StatisticalAnalysis
Read more: https://kyalu.in/how-to-track-your-businesss-roi-with-data-analytics-a-complete-guide
How Statistical Analysis is Reshaping Prairie Dog Science
https://theplanet.substack.com/p/how-statistical-analysis-is-reshaping
#prairiedogs #yesJMPcan @JMP_software #data #statisticalanalysis #science
A few days ago, the Statistics Globe YouTube channel reached 30K subscribers (see here: https://www.youtube.com/c/statisticsglobe)!
To celebrate this milestone, I've launched a 3-day promotion offering a 33% discount on all my courses, with only 24 hours left. The promotion ends tomorrow, Friday, at 3:33 pm GMT+2: https://statisticsglobe.com/courses
Hypothesis testing is a key statistical method that allows us to draw conclusions about populations based on sample data. Choosing the right test is essential for obtaining accurate and reliable results.
Interested in learning more? Check out my online course on Statistical Methods in R, starting September 9, 2024, where we dive deeper into hypothesis testing and other key statistical methods: https://statisticsglobe.com/online-course-statistical-methods-r
The Kruskal-Wallis test is a non-parametric method used to determine if there are statistically significant differences in the distributions of three or more independent groups based on ranks. Unlike ANOVA, it does not assume a normal distribution, making it versatile for analyzing non-normally distributed data sets.
Visualization: https://en.wikipedia.org/wiki/Kruskal%E2%80%93Wallis_test#/media/File:Difference_between_ANOVA_and_KW_test.png
Consider joining my online course: https://statisticsglobe.com/online-course-statistical-methods-r
My Statistical Methods in R course kicked off yesterday, and we now have a group of 71 participants! I always find it interesting to analyze the group's statistics, so I wanted to share them with you.
Here are a few highlights:
- Total participants: 71
- Number of countries represented: 26
- Top 3 countries: USA (20), United Kingdom (11), Australia (7)
If you’d like to join, it’s still possible to enroll: https://statisticsglobe.com/online-course-statistical-methods-r
Hypothesis testing is a key statistical method that allows us to draw conclusions about populations based on sample data. Choosing the right test is essential for obtaining accurate and reliable results.
Interested in learning more? Check out my online course on Statistical Methods in R, starting September 9, 2024, where we dive deeper into hypothesis testing and other key statistical methods.
Take a look here for more details: https://statisticsglobe.com/online-course-statistical-methods-r
I’m excited to announce that the Statistics Globe online course on "Statistical Methods in R" has just started!
Currently, we have 68 participants, and the group is still growing. This is a great success, and I’m very grateful! Thank you all for your support.
If you'd like to join us, there's still time to register: https://statisticsglobe.com/online-course-statistical-methods-r
Friendly reminder that the Statistics Globe online course on "Statistical Methods in R" is starting today.
It would be great if you also took part in the course. So if you are interested, please register now: https://statisticsglobe.com/online-course-statistical-methods-r
Talk to you soon.
Joachim
