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BEGIN:VEVENT
DTSTART:20210809T130000Z
DTEND:20210809T210000Z
DTSTAMP:20210809T000000Z
SUMMARY:Software Carpentry: R for Reproducible Scientific Analysis
DESCRIPTION:Software Carpentry aims to help researchers get their work done 
 in less time and with less pain by teaching them basic research computing 
 skills. This hands-on workshop will cover basic concepts and tools for 
 computing with the R programming language and RStudio\, including program 
 design\, version control\, data management\, task automation\, and creating 
 visualizations and reports. Throughout the lesson\, emphasis is placed on 
 practices that support scientific transparency and reproducibility. 
 Participants will be encouraged to help one another and to apply what they 
 have learned to their own research problems.\n\nThe workshop will take 
 place over 2 days. Registering for one day will register you for the 
 other\; you should plan to attend both days.\n\nThe workshop is open to 
 anyone. You do not need any experience to participate but you will need 
 access to a WIndows\, Mac or Linux computer. The workshop will be hosted in 
 person in Newman Library and will include a 1-hour lunch break each day\; 
 instructions for accessing course material and installing software will be 
 sent in advance. For questions\, contact Data Education Coordinator 
 Nathaniel Porter.\n\nBy the end of this workshop\, you will be able 
 to:\n\n\n	Comfortably navigate the RStudio interface\, working with 
 scripts\, interactive sessions\, workspace objects\, packages\, and 
 help\n	Import and export mulitple data formats in R\n	Access and modify 
 rows\, columns\, and data points in R Data Frames\n	Use loops\, functions\, 
 and conditionals to create automated R workflows\n	Download\, import and 
 use add-on packages in R\n	Combine\, clean and reshape data frames in R 
 (with dplyr and tidyr)\n	Create simple visualizations and reports in R 
 (with ggplot2 and knitr)\n	Write understandable\, reproducible and 
 well-documented code in R\n\n\nIf you are an individual with a disability 
 and desire an accommodation\, please email 
 library-event-accessibility-g@vt.edu at least 10 business days prior to the 
 event.\n
LOCATION:Blacksburg Campus
ORGANIZER;CN="Nathaniel Porter":MAILTO:ndporter@vt.edu
CATEGORIES:Data Science, Workshop
CONTACT;CN="Nathaniel Porter":MAILTO:ndporter@vt.edu
STATUS:CONFIRMED
UID:LibCal-7922102
URL:https://calendar.lib.vt.edu/event/7922102
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TRIGGER:-PT15M
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DESCRIPTION:Reminder
END:VALARM
END:VEVENT
BEGIN:VEVENT
DTSTART:20210810T130000Z
DTEND:20210810T210000Z
DTSTAMP:20210810T000000Z
SUMMARY:Software Carpentry: R for Reproducible Scientific Analysis
DESCRIPTION:Software Carpentry aims to help researchers get their work done 
 in less time and with less pain by teaching them basic research computing 
 skills. This hands-on workshop will cover basic concepts and tools for 
 computing with the R programming language and RStudio\, including program 
 design\, version control\, data management\, task automation\, and creating 
 visualizations and reports. Throughout the lesson\, emphasis is placed on 
 practices that support scientific transparency and reproducibility. 
 Participants will be encouraged to help one another and to apply what they 
 have learned to their own research problems.\n\nThe workshop will take 
 place over 2 days. Registering for one day will register you for the 
 other\; you should plan to attend both days.\n\nThe workshop is open to 
 anyone. You do not need any experience to participate but you will need 
 access to a WIndows\, Mac or Linux computer. The workshop will be hosted in 
 person in Newman Library and will include a 1-hour lunch break each day\; 
 instructions for accessing course material and installing software will be 
 sent in advance. For questions\, contact Data Education Coordinator 
 Nathaniel Porter.\n\nBy the end of this workshop\, you will be able 
 to:\n\n\n	Comfortably navigate the RStudio interface\, working with 
 scripts\, interactive sessions\, workspace objects\, packages\, and 
 help\n	Import and export mulitple data formats in R\n	Access and modify 
 rows\, columns\, and data points in R Data Frames\n	Use loops\, functions\, 
 and conditionals to create automated R workflows\n	Download\, import and 
 use add-on packages in R\n	Combine\, clean and reshape data frames in R 
 (with dplyr and tidyr)\n	Create simple visualizations and reports in R 
 (with ggplot2 and knitr)\n	Write understandable\, reproducible and 
 well-documented code in R\n\n\nIf you are an individual with a disability 
 and desire an accommodation\, please email 
 library-event-accessibility-g@vt.edu at least 10 business days prior to the 
 event.\n
LOCATION:Blacksburg Campus
ORGANIZER;CN="Nathaniel Porter":MAILTO:ndporter@vt.edu
CATEGORIES:Data Science, Workshop
CONTACT;CN="Nathaniel Porter":MAILTO:ndporter@vt.edu
STATUS:CONFIRMED
UID:LibCal-7922103
URL:https://calendar.lib.vt.edu/event/7922103
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DESCRIPTION:Reminder
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