R for Beginners: Logistic Regression |
163 |
How to plot animated maps with gganimate |
139 |
Generalized Linear Models understanding the link function |
129 |
A simple example of webscraping with R : the top 5% economist ranking |
120 |
p-values and null hypotheses |
97 |
R for Beginners: Modeling Regression Effects Using REffects Library |
94 |
Use R with Excel: Importing and Exporting Data |
91 |
Introduction to statistical thinking |
89 |
Loading and visualizing Shapefiles in R |
88 |
Obtaining the number of components from cross validation of principal components regression |
86 |
R Training – Data Manipulation |
81 |
R for Beginners: Creating a Twitter App for Scraping Data |
76 |
R Training – Data Visualization |
72 |
Prophets of gloom: Using NLP to analyze Radiohead lyrics |
72 |
Running R scripts within in-database SQL Server Machine Learning |
70 |
Modifying Excel Files using openxlsx |
67 |
5 Alternatives to the Default R Outputs for GLMs and Linear Models |
66 |
shinytest – Automated testing for Shiny apps |
51 |
How to change the number of breaks on a datetime axis with R and ggplot2 |
49 |
R for Beginners: Running Chi-Squared Tests |
48 |
Data Science With R Course Series – Week 5 |
47 |
Random Walk of Pi – Another ggplot2 Experiment |
47 |
Voice Control your Shiny Apps |
46 |
Identifying gaps in your data |
45 |
Send Daily Reminder to Mobile using R |
40 |
Generate correlation matrices with complex survey data in R |
39 |
Using R to Read Eye-tracking Files (.txt, .tsv, ect.) and Organize Data |
38 |
Exploring college major and income: a live data analysis in R |
38 |
How to Use Shiny Containers with Shinyproxy |
37 |
Announcing RStudio Package Manager |
37 |
Time series shootout: ARIMA vs. LSTM (talk) |
35 |
Making Art in R |
35 |
Modularize your Shiny Apps: Exercises |
34 |
Statistics Sunday: Some Psychometric Tricks in R |
34 |
September 2018: Top 40 New Packages |
32 |
Tutorial: Facebook Messenger Chatbot with AWS Lambda & Python (written by an R programmer) |
31 |
Text Analysis with Term Frequency for Mark Twain’s Novels |
31 |
On the apparent success of the maximum likelihood principle |
30 |
Visualize Univariate Distribution of a Dataset (using Plotly) |
30 |
Slides from my talk at the R-Ladies Meetup about Interpretable Deep Learning with R, Keras and |
30 |
New Course: Interactive Data Visualization with rbokeh |
29 |
useR! poster: ranking influential communities |
28 |
Animated Plots As Part Of Exploratory Data Analysis |
28 |
Slides from my m-cubed talk about Explaining complex machine learning models with LIME |
28 |
New Course: Visualization Best Practices in R |
26 |
splitChunk – RStudio addin for splitting code chunks in R Markdown |
25 |
The R-help Community was Started on This Day 20 Years Ago |
25 |
Friendships among top R-twitterers |
25 |
Cannibus Curve with ggplot2 |
24 |
I fell out with tapply and in love with dplyr |
24 |
Naming things is hard |
23 |
RStudio 1.2 Preview: Stan |
22 |
Using Leaflet in R – Tutorial |
21 |
One Rule (OneR) Machine Learning Classification in under One Minute |
21 |
Data Science Podcasts |
20 |
transferring installed packages to a different installation of R |
20 |
Creating abstract city maps for Leaflet usage |
20 |
Piping into ggplot2 |
20 |
About identifiability and granularity |
19 |
Topic Modeling of New York Times Articles |
19 |
Machine Learning Benchmarking with SFA in R |
19 |
Modeling and prediction for movies |
18 |
Blogging with GitHub and Hugo |
18 |
Visualising Brexit Votes with Leaflet and cartogram |
18 |
ABC intro for Astrophysics |
18 |
The use of bicycles in Helsinki |
17 |
How we use emojis |
17 |
Coming soon! |
16 |
Shiny Website for Primer Documentation |
16 |
Visual Art with Pi using ggplot2 & circlize |
16 |
Introducing the New Zealand Trade Intelligence Dashboard |
16 |
Project management for scalable data analysis |
15 |
A small logical change with big impact |
15 |
Most liked R-bloggers’ posts from last week (2018-10-07 till 2018-10-13 – based on twitter) |
15 |