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#statistical

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Public
Statistics Globe

ggplot2 is the gold standard when it comes to data visualization.

The image in this post showcases examples of ggplot2 visualizations, demonstrating its versatility to create a wide range of plots with nearly limitless customization options.

Check out my online course, "Data Visualization in R Using ggplot2 & Friends," for a deeper dive into creating stunning plots with ggplot2.

More info: statisticsglobe.com/online-cou

#package#dataviz#statistical
Public
Philo Sophies

#Zoomposium with Prof. Dr. #Arieh #Ben-#Naim: “Demystifying #Entropy”

Information about the person and his scientific work

In another installment of our “Zoomposium series” on the topic of #physics and its #limits, my colleague Axel Stöcker from the “Blog der großen Fragen” and I had the opportunity to interview the renowned Israeli physical chemist Prof. Dr. Arieh Ben-Naim on the exciting topic of “Demystifying Entropy”.

Arieh, who was born on July 11, 1934, held a chair in #Physical #Chemistry at the Hebrew University of Jerusalem for over 40 years, with his main field of research being the theory of the #structure of #water, aqueous solutions and hydrophobic-hydrophilic interactions. He was mainly concerned with theoretical and experimental aspects of the general theory of #liquids and #solutions. In recent years, he has advocated the use of #information theory to better understand and advance #statistical #mechanics and #thermodynamics.

In this context, he has also worked intensively on the question of the nature and underlying principle of the phenomenon of #entropy, which he has published in numerous often cited but also controversially discussed popular science books.

The basic tenor of all his publications and lectures is that we need a new basic understanding of the phenomenon of entropy. In Arieh's view, entropy, which originally stems from the laws of #thermodynamics and in particular the 2nd law, has been misused and incorrectly transferred as a #concept to other areas of #physics, #biology and everyday #life.

In this respect, it was finally time (bon mot) to ask the author himself about his ground-breaking theses, which cast a different light on the #phenomenon of entropy or perhaps better said, bring entropy back to its place of origin.

The interview we conducted with him is in English.

Find out more at: philosophies.de/index.php/2024

or: youtu.be/Km88EreH4A8

photo of Arieh Ben-Naim
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💧🌏 Greg Cocks

Grfin Tools—User Guide And Methods For Modeling Landslide Runout And Debris-Flow Growth And Inundation
--
pubs.usgs.gov/publication/tm14 <-- shared USGS publication
--
code.usgs.gov/grfintools/grfin <-- shared USGS software release
--
H/T Jonathan Perkins USGS
[ another open source resource for everyone from the USGS ~smile~ ]
#GIS #spatial #mapping #opensource #openlibrary #Grfin #software #package #regional #debrisflow #engineeringgeology #geology #inundation #spatialanalysis #spatiotemporal #geophysics #geophysical #massmovement #landslide #lahar #volcano #rock #avalanche #model #modeling #statistical #geostatistics #water #hydrology #downstream #elevation #remotesensing #DEM #flow #runout #risk #hazard #tools #slope #erosion #drainage #network #channel #channelisation #userguide
@USGS

screen shot - grfintools software repository home page (https://code.usgs.gov/grfintools/grfintools)
report figure 2 - Schematic flowchart illustrating common pathways for using Grfin Tools with examples identified in orange boxes
report figure 1 - Perspective view of topography illustrating the potential locations for three types of mass movements that can be derived from a Grfin Tools analysis.
USGS report cover page - Grfin Tools—User Guide And Methods For Modeling Landslide Runout And Debris-Flow Growth And Inundation
Public
Statistics Globe

When performing multiple imputation of missing data, it is essential to evaluate how the imputed values compare to the observed data.

The attached image, created with the bwplot() function, showcases how the distributions of observed and imputed values vary across different imputations for multiple variables.

I’ll be hosting an 8-week online workshop on Missing Data Imputation in R: statisticsglobe.com/online-wor

#dataanalytics#dataviz#statistical
Public
Statistics Globe

Dimensionality reduction simplifies high-dimensional data while retaining its essential features. It’s a powerful tool for improving data analysis, visualization, and machine learning performance.

Image credit to Wikipedia: en.wikipedia.org/wiki/Dimensio

I've developed an in-depth course on PCA theory and its application in R programming. Check out this link for more details: statisticsglobe.com/online-cou

GIF
#rstudio#datastructure#programming
Public
Statistics Globe

Misinterpretation of correlation and causation is a common issue in data analysis. Correlation measures the strength and direction of a relationship between two variables, but it does not imply that one variable causes the other.

Consider the statement, "Dinosaurs didn't read. Now they are extinct."

For regular tips on data science, statistics, Python, and R programming, check out my free email newsletter: eepurl.com/gH6myT

#analysis#bigdata#statistical
Continued thread
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Chuck Darwin

Krugman:
This is, by the way, [what] standard autocratic regimes are known for.

⭐️In some ways, among their first targets are #statistical #agencies because ➡️ they want the numbers to say what they want the numbers to say.

I’ve been at conferences in Asia where the Chinese government announces that the economy grew 5.3 percent.

And everyone at the conference asks not “why did the Chinese economy grow by 5.3 percent?” but “why did the Chinese government decide to say that it grew by 5.3 percent?”

⭐️The numbers are our political statements, not reality.

🆘And if I were a federal employee at the Bureau of Labor Statistics,
I would be extremely frightened;
quite quickly they’re going to be in the line of fire.

The last time around, back during the Obama years, when there was a lot of "inflation truthers" claiming that the inflation numbers were being manipulated to make it look like there was less inflation than there was.

❌Such accusations are always projections
—it’s what they would do, not what was actually happening.

We turned to various kinds of private sector independent measures of inflation, many of which were originally developed by economists in places like Argentina,
where manipulation of the data was standard so they developed their own ways to measure.

We’re going to be having to do that.

⚠️ My guess is by sometime next year, we’re going to be having to look at proxies for what’s actually happening to the economy,
possibly for what’s actually happening to crime,
because the official numbers are going to be corrupted.

#DataManipulation#FakeFigures
Public
Statistics Globe

In Bayesian inference, a credible interval is a range of values within which a parameter lies with a certain probability, given the observed data and prior beliefs. The image of this post (based on this Wikipedia image: en.wikipedia.org/wiki/Credible) represents a 90% highest-density credible interval of a posterior probability distribution.

More details: eepurl.com/gH6myT

#statistical#datasciencecourse#datascience
Public
Statistics Globe

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: statisticsglobe.com/online-cou

#StatisticalAnalysis#Data#statistical
Continued thread
Public
Arjan Boltjes

While going over the methods, I noticed they used #NMF where #PCA is mostly used. And while refreshing ;) my knowledge of the differences between the two, I stumbled upon a simple question/answer on #CrossValidated: stats.stackexchange.com/questi

This links to a book from #TrevorHastie, offered for free on his website: hastie.su.domains/publications

Another reason to finally have a look at "An Introduction to #Statistical Learning with Applications in R (second edition)" by James, Witten, et al.

Cross ValidatedWhat is The Main Difference between PCA and NMF and why to choose one rather than the other?I have to develop some analyses to study cancer data. I want to use NMF and PCA. Basically these tools choose the best factorization rank and the number of components that is meaningful to your ana...
#rstats
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amen zwa, esq.

#MultiTarget tracking airborne #radar systems have been implemented using traditional #statistical techniques. Blackman's 1986 textbook is the leading publication on this subject.

Multi-target tracking is a sophisticated application of the fundamental idea behind the 1960s #Kalman filter—sequence prediction—which began with the 1900s #Markov chain. In the 2020s, #LLMs are perhaps the most appropriate technique for solving this age-old, tough problem.

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