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DTSTART;VALUE=DATE:20250101
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BEGIN:VEVENT
DESCRIPTION:Date: Monday 17th May - Tuesday 15th June 2021 [set days]\nTime
 : 09:45 - 12:00 [on set session days]\nPresenters:&nbsp\;Alanah Jonas\, An
 dy Nicholls\, Christina Fillmore\, Eleni Kleanthous\, Pavan Kumar\, Tulasi
  Marrapu (all from GSK)\nImportant:&nbsp\;Please note\, this is a 5-week v
 irtual course.&nbsp\;\n\nWho is this event intended for? Statisticians who
  are experienced with other software languages (such as SAS) and would lik
 e to increase their proficiency in R.\n\nWhat is the benefit of attending?
 &nbsp\;Attendees will learn how to: understand data manipulation in R\; pr
 oduce R graphics with ggplot2\; and perform &amp\; interpret statistical a
 nalyses in R.\nCourse cost\nNB: This course has Earlybird rates available.
  These are valid for bookings on or before 19th April only.\nEarlybird&nbs
 p\;Members = &pound\;300+VAT\nEarlybird&nbsp\;Non-Members = &pound\;395+VA
 T*\nRegular&nbsp\;Members = &pound\;340+VAT\nRegular&nbsp\;Non-Members = &
 pound\;435+VAT*\n*Please note:&nbsp\;Non-Member rates include membership f
 or the rest of the 2021 calendar year.\nRegistration\nRegistration for thi
 s event is now full.\nOverview\nThis course consists of 5 x 2-hour trainin
 g sessions run over 5 weeks.\nEach session will be repeated on two morning
 s per week (09:45am &ndash\; 12:00pm)\, so attendees are able to pick whic
 h day they attend each week\, out of the dates provided.\n\nSession 1: Mon
 day 17th May or&nbsp\;Tuesday 18th May\nSession 2: Monday 24th May or Tues
 day 25th May\nSession 3: Tuesday 1st June or Wednesday 2nd June\nSession 4
 : Monday 7th June or Tuesday 8th June\nSession 5: Monday 14th June or Tues
 day 15th June\nR is quickly gaining popularity within the pharmaceutical i
 ndustry due to it being a very powerful object-orientated language\, and i
 s able to produce analyses and high quality graphics. It can be used for h
 igh performance computing and allows easy integration with other software.
 \n\nThis course is aimed at statisticians who are experienced with other s
 oftware languages (such as SAS) and would like to increase their proficien
 cy in R.\n\nParticipation will provide access to extensive course material
 s in the form of a &lsquo\;bookdown&rsquo\; site.&nbsp\; However\, this is
  designed as a hands-on\, interactive course.&nbsp\; Both you and the trai
 ners will work entirely within the RStudio Cloud development environment\,
  which will remain accessible between virtual sessions in order to further
  explore and cement your understanding.\n\nTopics covered include:\n\n1. I
 ntroduction to R and RStudio\n2. Data types and vectors\n3. Welcome to tid
 yverse\n4. Importing/exporting data\n5. Handling data\n6. Piping\n7. Summa
 ries and aggregation\n8. Setting and merging\n9. Transposing data\n10. Int
 roduction to statistical analysis in R\n11. R Graphics with ggplot2\n&nbsp
 \;&nbsp\;&nbsp\;&nbsp\;a. Layering\n&nbsp\; &nbsp\; b. Aesthetics and grou
 ps\n&nbsp\; &nbsp\; c. Graph types: geoms\n&nbsp\; &nbsp\; d. Panelling: f
 aceting\n&nbsp\; &nbsp\; e. Themes and styling\n\nPlease click here&nbsp\;
 to view the flyer for this event.\n\n\nCancellation and Moderation Terms\n
 For cancellations received up to two weeks prior to a PSI event start-date
 \, the event registration fee will be refunded less 25% administrative cha
 rge. After this date\, no refunds will be possible. A handling fee of 20 G
 BP per registration will be charged for every registration modification re
 ceived two weeks prior or less\, including a delegate name change.\n
DTEND:20210517T110000Z
DTSTAMP:20261009T105804Z
DTSTART:20210517T084500Z
LOCATION:
SEQUENCE:0
SUMMARY:PSI Training Course: R for SAS Users
UID:RFCALITEM639271402845325249
X-ALT-DESC;FMTTYPE=text/html:<strong>Date:</strong> Monday 17th May - Tuesd
 ay 15th June 2021 [set days]<br />\n<strong>Time:</strong> 09:45 - 12:00 [
 on set session days]<br />\n<strong>Presenters:&nbsp\;</strong>Alanah Jona
 s\, Andy Nicholls\, Christina Fillmore\, Eleni Kleanthous\, Pavan Kumar\, 
 Tulasi Marrapu (all from GSK)<br />\n<strong>Important:&nbsp\;</strong>Ple
 ase note\, this is a 5-week virtual course.&nbsp\;<br />\n<br />\n<strong>
 Who is this event intended for? </strong>Statisticians who are experienced
  with other software languages (such as SAS) and would like to increase th
 eir proficiency in R.\n<br />\n<strong>What is the benefit of attending?&n
 bsp\;</strong>Attendees will learn how to: understand data manipulation in
  R\; produce R graphics with ggplot2\; and perform &amp\; interpret statis
 tical analyses in R.\n<h4><span>Course cost</span></h4>\n<p>NB: This cours
 e has Earlybird rates available. These are valid for bookings on or before
  19th April only.<br />\n<strong>Earlybird&nbsp\;</strong>Members = &pound
 \;300+VAT<br />\n<strong>Earlybird&nbsp\;</strong>Non-Members = &pound\;39
 5+VAT*<br />\n<strong>Regular&nbsp\;</strong>Members = &pound\;340+VAT<br 
 />\n<strong>Regular</strong>&nbsp\;Non-Members = &pound\;435+VAT*<br />\n*
 <em>Please note:&nbsp\;Non-Member rates include membership for the rest of
  the 2021 calendar year.</em></p>\n<h4>Registration</h4>\n<p><strong><span
  style="color: #ff0000\;">Registration for this event is now full.</span><
 /strong></p>\n<h4>Overview</h4>\n<p><strong>This course consists of 5 x 2-
 hour training sessions run over 5 weeks.<br />\nEach session will be repea
 ted on two mornings per week (09:45am &ndash\; 12:00pm)\, so attendees are
  able to pick which day they attend each week\, out of the dates provided.
 <br />\n</strong></p>\n<p><strong><span style="text-decoration: underline\
 ;">Session 1</span></strong>: Monday 17<sup>th</sup> May <strong><span sty
 le="text-decoration: underline\;">or</span></strong>&nbsp\;Tuesday 18<sup>
 th</sup> May<br />\n<strong><span style="text-decoration-line: underline\;
 ">Session 2</span></strong>: Monday 24<sup>th</sup> May <span style="text-
 decoration-line: underline\;"><strong>or</strong></span> Tuesday 25<sup>th
 </sup> May<br />\n<strong><span style="text-decoration-line: underline\;">
 Session 3</span></strong>: Tuesday 1<sup>st</sup> June <strong><span style
 ="text-decoration-line: underline\;">or</span></strong> Wednesday 2<sup>nd
 </sup> June<br />\n<strong><span style="text-decoration: underline\;">Sess
 ion 4</span></strong>: Monday 7<sup>th</sup> June <strong><span style="tex
 t-decoration: underline\;">or </span></strong>Tuesday 8<sup>th</sup> June<
 br />\n<strong><span style="text-decoration: underline\;">Session 5</span>
 </strong>: Monday 14<sup>th</sup> June <span style="text-decoration: under
 line\;"><strong>or</strong></span> Tuesday 15<sup>th</sup> June</p>\n<div>
 R is quickly gaining popularity within the pharmaceutical industry due to 
 it being a very powerful object-orientated language\, and is able to produ
 ce analyses and high quality graphics. It can be used for high performance
  computing and allows easy integration with other software.<br />\n<br />\
 nThis course is aimed at statisticians who are experienced with other soft
 ware languages (such as SAS) and would like to increase their proficiency 
 in R.<br />\n<br />\nParticipation will provide access to extensive course
  materials in the form of a &lsquo\;bookdown&rsquo\; site.&nbsp\; However\
 , this is designed as a hands-on\, interactive course.&nbsp\; Both you and
  the trainers will work entirely within the RStudio Cloud development envi
 ronment\, which will remain accessible between virtual sessions in order t
 o further explore and cement your understanding.<br />\n<br />\nTopics cov
 ered include:<br />\n<br />\n1. Introduction to R and RStudio<br />\n2. Da
 ta types and vectors<br />\n3. Welcome to tidyverse<br />\n4. Importing/ex
 porting data<br />\n5. Handling data<br />\n6. Piping<br />\n7. Summaries 
 and aggregation<br />\n8. Setting and merging<br />\n9. Transposing data<b
 r />\n10. Introduction to statistical analysis in R<br />\n11. R Graphics 
 with ggplot2<br />\n&nbsp\;&nbsp\;&nbsp\;&nbsp\;a. Layering<br />\n&nbsp\;
  &nbsp\; b. Aesthetics and groups<br />\n&nbsp\; &nbsp\; c. Graph types: g
 eoms<br />\n&nbsp\; &nbsp\; d. Panelling: faceting<br />\n&nbsp\; &nbsp\; 
 e. Themes and styling<br />\n<br />\nPlease <a href="https://www.psiweb.or
 g/docs/default-source/default-document-library/psi-r-for-sas-users-flyer_f
 inal.pdf?sfvrsn=7d36a4db_0&sf_site_temp=true&sf_site=00000000-0000-0000-00
 00-000000000000" title="click here">click here</a>&nbsp\;to view the flyer
  for this event.<br />\n<br />\n<br />\n<strong><span style="font-size: 10
 px\;">Cancellation and Moderation Terms<br />\n</span></strong><em><span s
 tyle="font-size: 10px\;">For cancellations received up to two weeks prior 
 to a PSI event start-date\, the event registration fee will be refunded le
 ss 25% administrative charge. After this date\, no refunds will be possibl
 e. A handling fee of 20 GBP per registration will be charged for every reg
 istration modification received two weeks prior or less\, including a dele
 gate name change.</span></em></div>\n<h4></h4>
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