I don't understant how people still use t.test(), aov(), wilcox.test() and kruskal.test() in 2023 & put them into R books, when there is ggbetweenstats() available from {ggstatsplot} package? It's time to move on! R progressed!
#rstats
#rstudio
#r4ds
I love logistic regression! 😍 While probabilities are intuitive, one of the challenges with them is that the relationship between our predictors and the probability of the outcome IS NOT LINEAR! "emmeans" and "sjPlot" help 🤓
#DataScience
#rstats
#Statistics
#r4ds
Make multiplots like a pro with {patchwork} R📦! 📈📊📉 Patchwork📦makes it incredibly easy to combine separate plots into the same graphic by using the simplest mathematical operators, such as +, /, () & much more🤯
#rstats
#dataviz
#patchwork
#r4ds
Need to do Correlation Analysis in R? Pearson, Spearman, Robust, Bayesian? Try {ggscatterstats} function from {ggstatsplot}📦 by
@patilindrajeets
. Here is 4 minutes R demo on how to conduct, visualise and interpret them
#RStats
#Statistics
#DataScience
I was shocked at how informative & useful box-violin plots in {ggplot2} are, after I learned everything I could find about them. There is even a Nature paper dedicated solely to them. If you are curious, have a look at my new video
#rstats
#r4ds
#dataviz
New Blog-Post on multiplots with {patchwork} R 📦! 📈📊📉 Patchwork 📦 makes it incredibly easy to combine separate plots into the same graphic by using the simplest mathematical operators, such as +, /, () & much more🤯
Interactions in logistic regression cost me a ton of nerves and time. But when I figured them out, the returns were huge! I hope this tutorial helps someone else to save some nerves and time 😊
#RStats
#DataScience
New Blog-Post on Quantile Regression and How to Report It’s Results as Stunning Plots and Tables with Pairwise Contrasts for every Quantile in minutes!
#QR
#rstats
#r4ds
#dataviz
#datascience
GLMMadaptive is such an amazing package!!! It just handled mixed-effects beta-regression like a boss! :) Thousand thanks
@drizopoulos
!!! You made my day!
Inspired by this AMAZING article
on how to teach stats by
@jonaslindeloev
, I made a lecture (slides and video) which my students liked ☺
“Linear regression vs. Statistical Tests ⚔ who wins?”
#RStats
#Statistics
#DataScience
Blog-Post on Deep Exploratory Data Analysis in R. Thousand thanks to developers of {dlookr}, {ggstatsplot}, {DataExplorer}, {SmartEDA}, {summarytools}, {gtsummary}, {performance}, {ggpubr} 📦!
#RStats
#r4ds
#DataScience
I absolutely love this article about “The trouble with criticizing p-values without an alternative”. The 1. sentence: “The problem is not p-values it is a fundamental shortage of data analytic skill.” Huge thanks to
@jtleek
,
@rdpeng
and
@rafalab
#Stats
How to impute missing values with Machine Learning in R using {dlookr} 📦 & {missRanger} 📦 or multivariate non-parametric chained random forest imputation for numeric and categorical data 😉
#RStats
#DataScience
#MachineLearning
#DataVisualization
Deep Exploratory Data Analysis in R: explore your data & start to test hypotheses. Thousand thanks to developers of {dlookr}, {ggstatsplot}, {DataExplorer}, {SmartEDA}, {summarytools}, {gtsummary}, {performance}, {ggpubr} 📦!
#RStats
#r4ds
#DataScience
R demo | How to visualize models in R - Part 1: from simple to multiple linear models with interactions + visualize (check) ALL assumptions in R (in one function) & get an easy post-hoc results in one line of code:
#RStats
#DataScience
#visualization
Short Blog Post on Correlation Matrix: how to conduct, visualise and interpret. 3 best R functions are: {chart.Correlation} from {PerformanceAnalytics}📦, {ggpairs} from {GGally}📦 & {grouped_ggcormat} from {ggstatsplot}📦
#RStats
#r4ds
#DataScience
Unleash the full potential of your data with Deep Exploratory Data Analysis in R! Visualise, discover hidden insights & test hypotheses like never before. Shoutout to all developers of these packages for making this possible! 🚀📈
#rstats
#stats
#r4ds
New Blog-Post on how shockingly informative & useful Box-Violin Plots in {ggplot2} are. There is even a Nature paper dedicated solely to them ... so, if Science says that something is useful, I tend to believe it :)
#rstats
#rstudio
#ggplot2
#r4ds
Want to get the most important concepts in frequentist statistics clearly explained? Check out this amazing article by Cassie Kozyrkov! Learn about Null and Altern. hypotheses, p-values, CIs, Power💪, Type 1 Error, Type 2 and even Type 3 Error! 😂🥳
#stats
Need to do One-Sample T-Test or One-Sample Wilcoxon-Test? There is no better way than {gghistostats} function from {ggstatsplot} package 📦! Thanks
@patilindrajeets
! Here is R demo on how to conduct, visualize & interpret them
#RStats
#Statistics
#r4ds
R demo | How to visualize models in R - Part 2: non linear, logistic, multinomial, mixed effects, mixed effects non-linear and survival models + all p-adjusted p-values of post-hocs! "A picture is worth a thousand words"! 😉
#RStats
#DataScience
#models
I think I found the way to excite newbies about statistics:
- oversimplify,
- overpromise and
- underdeliver 😅
Lecture was created by xaringan 📦
#RStats
#DataScience
#Statistics
Introduction to confusion matrix and ROC curves:
"Roc(k) is confusing: or the link between machine learning and epidemiology"
Lecture has been developed in “xaringan” R package
#RStats
#Statistics
#DataScience
#MachineLearning
As a beginner, I thought that statistics 📊📈 was the only way to be more certain about something I didn't know before. But the more I understand stats, the more I believe that statistics is the only way to be less certain about something I thought I already knew 🤔😂
#stats
One of the statistical questions that is perplexing me is: How should one handle percentage data as a response variable? What tests and models are suitable for uni- and multivariable analyses? What if you have some zeros, or even ones?
#Stats
#rstats
#Statistics
#DataScience
@andreaslaffert
Is that ironic? Because I did not find them useful for tables and plots at all. What I find useful in everyday life are {gtsummary} and {sjPlot} packages for tables and plots respectively! Can't work without them anymore.