taylor 2.0.0
Series: taylor
Initial release of taylor for accessing data on Taylor Swift’s discography.
Initial release of taylor for accessing data on Taylor Swift’s discography.
Estimate diagnostic classification models with Stan using the measr
package.
Initial release of taylor for accessing data on Taylor Swift’s discography.
Learn to create custom fill and color scales for ggplot2 to make your plots Gorgeous.
A look back on the 2020 election forecasts.
We’re in screaming color! Learn how the custom color palette methods for taylor were made using vctrs.
Initial release of taylor for accessing data on Taylor Swift’s discography.
Access lyrics and audio features for Taylor Swift’s discography using the taylor
package.
Summer Research Methods Camp five-day workshop to introduce the basics of using R for data analysis.
tidyverse
and tidymodels
Learn how to use the tidyverse
and tidymodels
for data analysis, from importing data to creating reproducible reports.
Guest lecture introducing R for estimating and evaluating item response theory models.
A high-level introduction to using R for Item Response Theory.
Create custom R Markdown templates and ggplot2 themes, then package them up to distribute.
Brand specific templates and ggplot2
themes to support report writing at Accessible Teaching, Learning, and Assessment Systems (ATLAS).
Summer Statistical Institute five-day workshop to introduce the basics of using R for data analysis.
Make yourself a ggplot2-themed clock, using ggplot2!
Recreate contour plots using ggplot2 and gganimate.
Happy Stars Wars day! Let’s make a TIE Figher animation to celebrate!
An R package for writing theses and dissertations at the University of Kansas using rmarkdown
.
See the inner workings of a Twitter bot that sends out new tidyverse questions.
Use ggplot2 to visualize multidimensional item response theory models.
In our concluding entry, we reflect on the tidyverse and look at resources for future learning.
Learn how to use ggplot2 for visualizing our NFL data.
Learn how to use tidyr for making tidy data frames as we continue our exploration of NFL data.
Learn how to use dplyr for data manipulation as we explore NFL data.
Get up and running with automated builds for your blogdown website.
A lesson in the importance of visualizing your data, and an opportunity to play with gganimate.
Who got the toughest draw, and who is the best bet to cut down the nets?
A 1-hour guest lecture to introduce the basics of data visualization in R using ggplot2.
Which conference is most likely to come out on top?
Calculate the win probability for college basketball games, and then make a plot.
Let’s look at how the forecasters did for the 2016 Presidential election
A 1-hour workshop to introduce the basics of data visualization in R using ggplot2.
Use statistics to rate teams and predict games in college basketball.