Too true.

For general QC/QA, I'm a big fan of non-parametric correlations, heat maps, and PCA.

https://genomic.social/@tangming2005/114602626534188217

Even have a couple of #Rtats packages to help with general QC/QA.

https://moseleybioinformaticslab.github.io/ICIKendallTau/

https://moseleybioinformaticslab.github.io/visualizationQualityControl/

Ming 'Tommy' Tang (@[email protected])

Attached: 1 image 1/ Bioinformaticians, I’ll say it loud: Never blindly trust the data you're given. Not from collaborators. Not from vendors. Not even from “reliable” sources. Here’s why:

genomic.social

Several #rtats codes for analyzing data, and many more #shinyR apps, using googlemaps, leaflet, aws, xgboost, etc.

I still consider myself an "Intermediate R user"
specially since it took some time to learn about bslibs, or watching van Leemput or @nrennie coding as they talk. I really appreciate #posit conferences,

I keep learning, one R script at a time.

R and Shiny are my way of life.

“That´s all any of us are — Amateurs. We don´t live long enough to be anything else.” Chaplin

#TidyTuesday #GroundhogDay2024 An interactive map of United States with Groundhog Day locations and predictions using #ggiraph.
Code & Interactive Map: http://tinyurl.com/intrct-ghd
Data: https://groundhog-day.com/
Tools: #rtats #ggplot2 #ggiraph by @davidgohel
#TidyTuesday Used {tidygeocoder} R package to locate new or changed addresses of US Polling Places between 2012 to 2020. Some patterns emerge on Churches vs Schools in different States.
Code🔗https://shorturl.at/jvIZ9
Data: The Center for Public Integrity
Tools: #rtats #ggplot2 #usmap @R4DSCommunity
Credits for {tidygeocoder}: @dhernangomez @dpprdan
projects_presentations/projects/tidy_w3_2024_us_polling.R at main · Aditya-Dahiya/projects_presentations

Presentations, Data Viz & More. Contribute to Aditya-Dahiya/projects_presentations development by creating an account on GitHub.

GitHub
Consequences of misspelling the #rstats hashtag as #rtats

My last #rtats or better #rmarkdown tip of the day:

Did you know that you can control chunks with variables?

This can be incredibly useful if you want some chunks to run only in certain conditions or when you want to set the size of a figure as function of how many subplots you will have etc.

1/2 It may have already happened to you that you're working with #rtats, you provide NA to a function and it complains that it expects a char or something else. How come?! The thing is that NA is a logical variable (type). That's why a function expecting a character will complain