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DESCRIPTION:# Overview\nBeing able to reproduce your research results is a 
 cornerstone of good scientific practice\, not only at the level of the dat
 a generation\, but also during all steps of the statistical analysis.\n\nD
 uring this two-day workshop\, we will explore how to use the R statistical
  software and some of the associated packages in order to conduct a reprod
 ucible data analysis and to help you reuse your R code in subsequent proje
 cts. We will cover all steps of the data analysis\, starting from data cle
 aning and data management\, going through the statistical analysis itself\
 , and finishing with the communication of results. The content will includ
 e many tips and tricks to improve your day-to-day analysis work\, making t
 he process more efficient and robust.\n  \nIn particular\, we will explore
  "knitR" and "officeR"\, two R packages that allow the automated creation 
 of documents (Word\, Powerpoint\, PDF\, HTML\, ...) from within R\, thus r
 educing the manual steps in preparing reports or slides and increasing the
  reproducibility of the resulting documents. We will also discuss the use 
 of custom-made R packages.\n\n\n# Audience\nThis course is addressed to li
 fe scientists and bioinformaticians who already routinely use the R statis
 tical program\, and would like to improve their analysis process by knowin
 g more about R and using relevant packages.\n\n\n# Learning outcomes\nAt t
 he end of the course\, the participants are expected to be able to:\n* Use
  R efficiently in order to perform a reproducible data analysis\n* Organis
 e their data and analysis scripts in order to make their life easier and i
 mprove the reproducibility of their work\n* Avoid common traps when using 
 R\n* Directly generate reports and documents from R\n\n# Prerequisites\n##
 ## Knowledge / competencies\nParticipants should already have a basic know
 ledge of the R statistical software. Test your R skills with the [quiz her
 e\, before registering](https://docs.google.com/forms/d/e/1FAIpQLSdIyeuabd
 _ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujyOg/viewform?usp=sf_link).\n\n\n#### 
 Technical\nAttendees should have a Wi-Fi enabled laptop\, with the followi
 ng software installed:\n* R version &gt\; = 4.2.\n* RStudio\, not older th
 an 2022.\n* Attendees will need to install additional R packages during th
 e course. Please make sure that you are able to do this (in particular fro
 m the point of view of system permissions).\n\n# Application\nThe registra
 tion fees for academics are **200 CHF** and **1200 CHF** for for-profit co
 mpanies.\n\nWhile participants are registered on a first come\, first serv
 ed basis\, exceptions may be made to ensure diversity and equity\, which m
 ay increase the time before your registration is confirmed.\n\nYou will be
  informed by email of your registration confirmation. Upon reception of th
 e confirmation email\, participants will be asked to confirm attendance by
  paying the fees within 5 days.\n\nApplications will close on **01/03/2024
 ** or as soon as the places will be filled up. Deadline for free-of-charge
  cancellation is set to **07/03/2024**. Cancellation after this date will 
 not be reimbursed. Please note that participation in SIB courses is subjec
 t to our [general conditions](https://www.sib.swiss/training/terms-and-con
 ditions).\n\n# Venue and Time\n\nThis course will take place in Zurich at 
 the Chemistry | Biology | Pharmacy Information Center\, in the ETHZ Höngg
 erberg campus.\n\nThe course will start at 9:00 and end around 17:00. \n\n
 More information will be provided to the registered participants in due ti
 me. \n\n#  Additional information\nCoordination: Patricia Palagi\n\nWe wil
 l recommend 0.5 ECTS credits for this course (given a passed exam at the e
 nd of the course).\n\nYou are welcome to register to the SIB courses maili
 ng list to be informed of all future courses and workshops\, as well as al
 l important deadlines using the form [here](https://lists.sib.swiss/mailma
 n/listinfo/courses).\n\nPlease note that participation in SIB courses is s
 ubject to our [general conditions](https://www.sib.swiss/training/terms-an
 d-conditions).\n\nSIB abides by the [ELIXIR Code of Conduct](https://elixi
 r-europe.org/events/code-of-conduct). Participants of SIB courses are also
  required to abide by the same code.\n\nFor more information\, please cont
 act [training@sib.swiss](mailto://training@sib.swiss).\n\n\n\n\nA course d
 elivered with the local support from:
SUMMARY:Reproducible research with R: from data management to communication
  of results
URL;VALUE=URI:https://www.sib.swiss/training/course/20240321_RERWR
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