A colleague is providing a new course on the Food, Water, Energy Nexus. Students will apply critical research from the field to assess the impacts and scope of rapid changes in the food, water and energy sectors. Register here: https://t.co/jfaZIoikR9 @SDGoals#sustainable
Interested in expanding your data analysis toolkit with a robust statistical programming language? Join our online introductory R workshop tomorrow (3/25) at 2 pm ET!
Register now: https://t.co/fRESkGgeMR
Other workshops: https://t.co/l6hEEXOu5L
#rstats#statistics#datascience
@jrosenberg6432 @rstats4ds I’d look into the pkgsearch package if you want metadata about CRAN packages without install. I’m not sure if datasets are exposed that way though: https://t.co/VsT9q9Xvpk
@jrosenberg6432 @rstats4ds I tend to use data(package = .packages(all.available = TRUE)) but it might cool to wrap it in a shiny app for easier data exploration!
Exciting #hackathon-esque opportunity for @TuftsUniversity students to gain new #dataviz skills, develop their portfolio, and meet new people (virtually) - all while doing good and benefiting public health! Registration and additional information: https://t.co/5f1LoXTlvD
@LeafyEricScott@MDPI I haven’t seen full manuscripts attached with Remote Sensing and IJERPH, hope they take the same approach with Foods! Thanks for sharing, Eric.
Are you a MATLAB, C/C++, or Fortran user interested in transitioning to #Python? Join our #NumPy workshop tomorrow (11/4) @ 1 pm ET and learn how to use Python for scientific #programming!
Registration: https://t.co/CLQ15Ql2d5
Other upcoming workshops: https://t.co/l6hEEXOu5L
Anyone whose talk *wasn’t* accepted for @rstudio ::global(2021) — I feel you. ALSO I run the stats programming DC meetup and we’d love to have you come talk about #rstats, #python, #DataScience, wherever! It’s not as glam, but it’s a great group! reply/dm to get things going!
@guacamolebio I feel your pain - I really like using installR, so I can roll back when I inevitably break everything right before a deadline: https://t.co/zvtHq3sVwU
The 0.0.3 version of my translation of the second edition of @rlmcelreath’s “Statistical rethinking” into #brms and the #tidyverse is up!
https://t.co/8elgCVrhAA
1/9
Amazing set of #datascience materials available at #useR2020!
Thanks to the community for a great virtual conference. @rstats4ds @TuftsDataLab
https://t.co/KzIub4AAGc
Really excited that https://t.co/VV8S7GkE9H is now publicly available — among other things it provides Linux binaries for CRAN packages, which makes install so so much faster. Learn more at https://t.co/zId043OT7x #rstats
If you want to get up to speed with #ggplot2 and its extended universe of packages I've released free recordings of my "Plotting Anything with ggplot2" workshop. Have fun! #rstats
https://t.co/LxwwSsESQM
https://t.co/uZda0KRAgp
~4.5h of video so find a comfy chair🙂
Really enjoyed @Hao_and_Y's talk on Accessibility and Reproducibility in ecological analyses! Especially his breakdown of ease of use (x-axis) and capabilities (y-axis)... couldn't be more true about conference travel reimbursement 😂 #csvconf
His slides! https://t.co/DGs6ugwjb8