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Software Carpentry
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Software Carpentry
Overview
Unix Shell
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Installation
Files
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Version Control with Git and Github
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Programming in Python
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STATA kernel
Programming in R
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Databases and SQL
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Spreadsheets
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MERCED Cluster
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Installation
Credits
References
Manuals and FAQs from the R project:
https://www.r-project.org/about.html
A collection of R cheat sheets:
https://rstudio.com/resources/cheatsheets/
RStudio shortcuts and tips:
https://appsilon.com/rstudio-shortcuts-and-tips/
CRAN task views (browse by topic):
https://cran.r-project.org/web/views/
A guide to data visualization, using R examples:
https://socviz.co
A guide to the "tidyverse":
https://b-rodrigues.github.io/modern_R/index.html
In-depth explanations of R data structures and behavior. Helpful for experienced programmers coming from other languages:
https://adv-r.hadley.nz/index.html
Guide to contrast coding for factors:
https://stats.oarc.ucla.edu/r/library/r-library-contrast-coding-systems-for-categorical-variables/
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