Difference: ComputinginR (1 vs. 55)

Revision 55
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Computing in R

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Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R, it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (data) analyses and for plotting figures.
Changed:
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<

Schedule and course material (September 2019 edition: course material will still be updated before the start of the course)

>
>

Schedule and course material (September 2019 edition)

 
Location Day Time Topic Lectures Demo Exercises Exercises (answers)
L01-243/245 September 16, 2019 09.00-12.00   Handout Slides Slides on graphics Demo code (R, Rmd, html) pdf, html pdf, html, R code
  September 16, 2019 12.00-13.00 Lunch break        
L01-243/245 September 16, 2019 13.00-17.00          
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L01-243/245 September 16, 2019 11.15-12.45          
>
>
L01-243/245 September 17, 2019 11.15-12.45          
 
  September 17, 2019 12.45-13.30 Lunch break        
L01-243/245 September 17, 2019 13.30-17.00          
Line: 45 to 45
 
    • The Quick-R page shows the commands to be used for many aspects of a statistical analysis, and has been created especially for experienced users of some other statistical packages
    • Cookbook for R offers many great examples
    • Datacamp offers several on-line courses at the beginner and intermediate level with lots of exercises
Added:
>
>
    • YaRrr! The Pirate‚Äôs Guide to R is meant to introduce you to the basic analytical tools in R, from basic coding and analyses, to data wrangling, plotting, and statistical inference
 
    • Documentation for R packages organized by topical domains
    • Other sites to get you started are Impatient R and Statistics with R.
    • There is a book called "R for SAS and SPSS users''. The corresponding web site also has a freely downloadable early version of the book. It also has a comparison table that lists the corresponding R packages for many SAS and SPSS procedures.
Revision 53
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Computing in R

Changed:
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This course is part of the PhD course program of the AMC Graduate School.
>
>
This course is part of the PhD course program of the Amsterdam UMC-AMC Graduate School.
 

  • Location: Academic Medical Center, Amsterdam.
  • Course material: All course material is provided during the course, no need to print anything yourself
Line: 20 to 20
 

Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R, it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (data) analyses and for plotting figures.
Changed:
<
<

Schedule and course material (September 2019 edition: course material will be updated before the start of the course)

>
>

Schedule and course material (September 2019 edition: course material will still be updated before the start of the course)

 
Location Day Time Topic Lectures Demo Exercises Exercises (answers)
L01-243/245 September 16, 2019 09.00-12.00   Handout Slides Slides on graphics Demo code (R, Rmd, html) pdf, html pdf, html, R code
Line: 39 to 39
 
  • R homepage
  • R and its packages can be downloaded from CRAN
  • Introductory material
Changed:
<
<
    • Learn R interactively using swirl. Use their 'R Programming' course to refresh what you learnt in our course. There is also a web-based interface to swirl.
>
>
    • Learn R interactively using swirl. Use their 'R Programming' course to refresh what you learnt in our course.
 
    • A basic introduction to R, somewhat in line with this course
    • Another short introduction to R with a nice list of common error messages (and how to maybe solve them) on the last page
    • The Quick-R page shows the commands to be used for many aspects of a statistical analysis, and has been created especially for experienced users of some other statistical packages
Revision 51
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Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R, it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (data) analyses and for plotting figures.
Changed:
<
<

Schedule and course material (March 2019 edition)

>
>

Schedule and course material (September 2019 edition: course material will be updated before the start of the course)

 
Location Day Time Topic Lectures Demo Exercises Exercises (answers)
Changed:
<
<
L0-227 March 25, 2019 09.30-12.30   Handout Slides Demo code (R, Rmd, html) pdf, html pdf, html, R code
  March 25, 2019 12.30-13.30 Lunch break        
L0-227 March 25, 2019 13.30-16.30          
L0-227 March 26, 2019 9.30-12.30          
  March 26 4, 2019 12.30-13.30 Lunch break        
L0-227 March 26, 2019 13.30-16.30          
>
>
L01-243/245 September 16, 2019 09.00-12.00   Handout Slides Slides on graphics Demo code (R, Rmd, html) pdf, html pdf, html, R code
  September 16, 2019 12.00-13.00 Lunch break        
L01-243/245 September 16, 2019 13.00-17.00          
L01-243/245 September 16, 2019 11.15-12.45          
  September 17, 2019 12.45-13.30 Lunch break        
L01-243/245 September 17, 2019 13.30-17.00          
 

Datasets for the exercises

Revision 49
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Computing in R

Line: 20 to 20
 

Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R, it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (data) analyses and for plotting figures.
Changed:
<
<

Schedule and course material

>
>

Schedule and course material (March 2019 edition)

 
Changed:
<
<
Location Day Time Topic Lectures Exercises Answers
L0-227 October 1, 2018 09.30-12.30   Handout Slides, Example code (R), Example code (Rmd), Example code (html) pdf pdf, R code
  October 1, 2018 12.30-13.30 Lunch break      
L0-227 October 1, 2018 13.30-16.30        
L0-227 October 4, 2018 9.30-12.30        
  October 4, 2018 12.30-13.30 Lunch break      
L0-227 October 4, 2018 13.30-16.30        
>
>
Location Day Time Topic Lectures Demo Exercises Exercises (answers)
L0-227 March 25, 2019 09.30-12.30   Handout Slides Demo code (R, Rmd, html) pdf, html pdf, html, R code
  March 25, 2019 12.30-13.30 Lunch break        
L0-227 March 25, 2019 13.30-16.30          
L0-227 March 26, 2019 9.30-12.30          
  March 26 4, 2019 12.30-13.30 Lunch break        
L0-227 March 26, 2019 13.30-16.30          
 

Datasets for the exercises

Line: 37 to 37
 

Information on R

Changed:
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<
  • R and its packages can be downloaded from CRAN
>
>
  • R and its packages can be downloaded from CRAN
 
  • Introductory material
    • Learn R interactively using swirl. Use their 'R Programming' course to refresh what you learnt in our course. There is also a web-based interface to swirl.
    • A basic introduction to R, somewhat in line with this course
    • Another short introduction to R with a nice list of common error messages (and how to maybe solve them) on the last page
Changed:
<
<
    • This page shows the commands to be used for many aspects of a statistical analysis, and has been created especially for experienced users of some other statistical packages
>
>
    • The Quick-R page shows the commands to be used for many aspects of a statistical analysis, and has been created especially for experienced users of some other statistical packages
 
Changed:
<
<
    • Several on-line courses at the beginner and intermediate level with lots of exercises
>
>
    • Datacamp offers several on-line courses at the beginner and intermediate level with lots of exercises
 
    • Documentation for R packages organized by topical domains
    • Other sites to get you started are Impatient R and Statistics with R.
    • There is a book called "R for SAS and SPSS users''. The corresponding web site also has a freely downloadable early version of the book. It also has a comparison table that lists the corresponding R packages for many SAS and SPSS procedures.
Revision 47
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Line: 20 to 20
 

Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R, it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (data) analyses and for plotting figures.
Changed:
<
<

Schedule and course material (March 2018)

>
>

Schedule and course material

 
Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L01-243/245 March 26, 2018 09.30-12.30   Handout Slides, Example code (R), Example code (Rmd), Example code (html) pdf pdf, R code
  March 26, 2018 12.30-13.30 Lunch break      
L01-243/245 March 26, 2018 13.30-16.30        
L01-243/245 March 27, 2018 9.30-12.30        
  March 27, 2018 12.30-13.30 Lunch break      
L01-243/245 March 27, 2018 13.30-16.30        
>
>
L0-227 October 1, 2018 09.30-12.30   Handout Slides, Example code (R), Example code (Rmd), Example code (html) pdf pdf, R code
  October 1, 2018 12.30-13.30 Lunch break      
L0-227 October 1, 2018 13.30-16.30        
L0-227 October 4, 2018 9.30-12.30        
  October 4, 2018 12.30-13.30 Lunch break      
L0-227 October 4, 2018 13.30-16.30        
 

Datasets for the exercises

Revision 45
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Computing in R

Changed:
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This course is part of the PhD course program of the AMC Graduate School.
>
>
This course is part of the PhD course program of the AMC Graduate School.
 

  • Location: Academic Medical Center, Amsterdam.
  • Course material: All course material is provided during the course, no need to print anything yourself
Line: 26 to 26
 
L01-243/245 March 26, 2018 09.30-12.30   Handout Slides, Example code (R), Example code (Rmd), Example code (html) pdf pdf, R code
  March 26, 2018 12.30-13.30 Lunch break      
L01-243/245 March 26, 2018 13.30-16.30        
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L01-243/245 March 27, 2018 10.15-13.00        
  March 27, 2018 13.00-14.30 Lunch break      
L01-243/245 March 27, 2018 14.00-17.15        
>
>
L01-243/245 March 27, 2018 9.30-12.30        
  March 27, 2018 12.30-13.30 Lunch break      
L01-243/245 March 27, 2018 13.30-16.30        
 

Datasets for the exercises

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Revision 43
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  • Location: Academic Medical Center, Amsterdam.
  • Course material: All course material is provided during the course, no need to print anything yourself
  • ECTS: 0.4
Changed:
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<
  • Teachers: Perry Moerland (coordinator), Aldo Jongejan and Koos Zwinderman
>
>
  • Teachers: Perry Moerland (coordinator), Aldo Jongejan and Michel Hof
 

Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R, it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (data) analyses and for plotting figures.
Changed:
<
<

Schedule and course material (September 2017)

>
>

Schedule and course material (March 2018)

 
Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L01-243/245 September 18, 2017 09.30-12.30   Handout Slides, Example code (R), Example code (Rmd), Example code (html) pdf pdf, R code
  September 18, 2017 12.30-13.30 Lunch break      
L01-243/245 September 18, 2017 13.30-16.30        
L01-243/245 September 19, 2017 10.15-13.00        
  September 19, 2017 13.00-14.30 Lunch break      
L01-243/245 September 19, 2017 14.00-17.15        
>
>
L01-243/245 March 26, 2018 09.30-12.30   Handout Slides, Example code (R), Example code (Rmd), Example code (html) pdf pdf, R code
  March 26, 2018 12.30-13.30 Lunch break      
L01-243/245 March 26, 2018 13.30-16.30        
L01-243/245 March 27, 2018 10.15-13.00        
  March 27, 2018 13.00-14.30 Lunch break      
L01-243/245 March 27, 2018 14.00-17.15        
 

Datasets for the exercises

Revision 41
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Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R, it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (data) analyses and for plotting figures.
Changed:
<
<

Schedule and course material (April 2017)

>
>

Schedule and course material (September 2017)

 
Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L01-243/245 April 3, 2017 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
  April 3, 2017 12.30-13.30 Lunch break      
L01-243/245 April 3, 2017 13.30-16.30        
L01-243/245 April 4, 2017 09.30-12.30        
  April 4, 2017 12.30-13.30 Lunch break      
L01-243/245 April 4, 2017 13.30-16.30        
>
>
L01-243/245 September 18, 2017 09.30-12.30   Handout Slides, Example code (R), Example code (Rmd), Example code (html) pdf pdf, R code
  September 18, 2017 12.30-13.30 Lunch break      
L01-243/245 September 18, 2017 13.30-16.30        
L01-243/245 September 19, 2017 10.15-13.00        
  September 19, 2017 13.00-14.30 Lunch break      
L01-243/245 September 19, 2017 14.00-17.15        
 

Datasets for the exercises

Revision 39
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  • Location: Academic Medical Center, Amsterdam.
  • Course material: All course material is provided during the course, no need to print anything yourself
  • ECTS: 0.4
Changed:
<
<
  • Teachers: Perry Moerland (coordinator), Ronald Geskus and Aldo Jongejan
>
>
  • Teachers: Perry Moerland (coordinator), Aldo Jongejan and Koos Zwinderman
 

Goal

Changed:
<
<
R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (data) analyses and for plotting figures.
>
>
R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R, it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (data) analyses and for plotting figures.
 
Changed:
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<

Schedule and course material (September 2016)

>
>

Schedule and course material (April 2017)

 
Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L01-243/245 September 19, 2016 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
  September 19, 2016 12.30-13.30 Lunch break      
L01-243/245 September 19, 2016 13.30-16.30        
L01-243/245 September 20, 2016 09.30-12.30        
  September 20, 2016 12.30-13.30 Lunch break      
L01-243/245 September 20, 2016 13.30-16.30        
>
>
L01-243/245 April 3, 2017 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
  April 3, 2017 12.30-13.30 Lunch break      
L01-243/245 April 3, 2017 13.30-16.30        
L01-243/245 April 4, 2017 09.30-12.30        
  April 4, 2017 12.30-13.30 Lunch break      
L01-243/245 April 4, 2017 13.30-16.30        
 

Datasets for the exercises

Added:
>
>
 

Information on R

  • R homepage
  • R and its packages can be downloaded from CRAN
  • Introductory material
Changed:
<
<
    • Learn R interactively. Use their 'R Programming' course to refresh what you learnt in our course.
>
>
    • Learn R interactively using swirl. Use their 'R Programming' course to refresh what you learnt in our course. There is also a web-based interface to swirl.
 
    • A basic introduction to R, somewhat in line with this course
    • Another short introduction to R with a nice list of common error messages (and how to maybe solve them) on the last page
    • This page shows the commands to be used for many aspects of a statistical analysis, and has been created especially for experienced users of some other statistical packages
Line: 46 to 47
 
Changed:
<
<
    • There is a book called "R for SAS and SPSS users''. The corresponding web site also has a freely downloadable early version of the book. It also has a comparison table that lists for many SAS and SPSS procedures the corresponding R packages.
>
>
    • There is a book called "R for SAS and SPSS users''. The corresponding web site also has a freely downloadable early version of the book. It also has a comparison table that lists the corresponding R packages for many SAS and SPSS procedures.
 
Changed:
<
<
    • Other useful cheat sheets (for ggplot2 and dplyr/tidyr) provided by the people at RStudio
>
>
    • Other useful cheat sheets (for example, for ggplot2 and importing and transforming data via tidyr and dplyr) provided by the people at RStudio
 
  • Manuals (advanced)
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Information on Bioconductor

Bioconductor is an open source and open development software project for the analysis and comprehension of genomic data in R. Much of data analysis in bioinformatics is done within the R/Bioconductor statistical environment. For example, many statistical methods for the analysis of microarray and other high-throughput data are available from Bioconductor.

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Revision 37
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META TOPICPARENT name="EducationBioLab"
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  • Location: Academic Medical Center, Amsterdam.
  • Course material: All course material is provided during the course, no need to print anything yourself
  • ECTS: 0.4
Changed:
<
<
  • Teachers: Perry Moerland (coordinator) and Ronald Geskus
>
>
  • Teachers: Perry Moerland (coordinator), Ronald Geskus and Aldo Jongejan
 

Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (data) analyses and for plotting figures.
Changed:
<
<

Schedule and course material (September 2015)

>
>

Schedule and course material (September 2016)

 
Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L0-229 September 14, 2015 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
  September 14, 2015 12.30-13.30 Lunch break      
L0-229 September 14, 2015 13.30-16.30        
L0-229 September 15, 2015 09.30-12.30        
  September 15, 2015 12.30-13.30 Lunch break      
L0-229 September 15, 2015 13.30-16.30        
>
>
L01-243/245 September 19, 2016 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
  September 19, 2016 12.30-13.30 Lunch break      
L01-243/245 September 19, 2016 13.30-16.30        
L01-243/245 September 20, 2016 09.30-12.30        
  September 20, 2016 12.30-13.30 Lunch break      
L01-243/245 September 20, 2016 13.30-16.30        
 

Datasets for the exercises

Revision 35
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META TOPICPARENT name="EducationBioLab"
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Computing in R

Line: 18 to 18
 
  • Teachers: Perry Moerland (coordinator) and Ronald Geskus

Goal

Changed:
<
<
R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (statistical) analyses and for plotting figures.
>
>
R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (data) analyses and for plotting figures.
 

Schedule and course material (September 2015)

Revision 33
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META TOPICPARENT name="EducationBioLab"
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  • Teachers: Perry Moerland (coordinator) and Ronald Geskus

Goal

Changed:
<
<
R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic statistical analyses and for plotting publication-quality figures.
>
>
R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (statistical) analyses and for plotting figures.
 
Changed:
<
<

Schedule and course material (June 2015)

>
>

Schedule and course material (September 2015)

 
Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L0-227 June 1, 2015 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
  June 1, 2015 12.30-13.30 Lunch break      
L0-227 June 1, 2015 13.30-16.30        
L0-227 June 2, 2015 09.30-12.30        
  June 2, 2015 12.30-13.30 Lunch break      
L0-227 June 2, 20145 13.30-16.30        
>
>
L0-229 September 14, 2015 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
  September 14, 2015 12.30-13.30 Lunch break      
L0-229 September 14, 2015 13.30-16.30        
L0-229 September 15, 2015 09.30-12.30        
  September 15, 2015 12.30-13.30 Lunch break      
L0-229 September 15, 2015 13.30-16.30        
 

Datasets for the exercises

Line: 39 to 38
 
  • R homepage
  • R and its packages can be downloaded from CRAN
  • Introductory material
Changed:
<
<
    • A basic introduction to R, somewhat in line with this course.
    • This page shows the commands to be used for many aspects of a statistical analysis, and has been created especially for experienced users of some other statistical packages.
    • Cookbook for R
>
>
    • Learn R interactively. Use their 'R Programming' course to refresh what you learnt in our course.
    • A basic introduction to R, somewhat in line with this course
    • Another short introduction to R with a nice list of common error messages (and how to maybe solve them) on the last page
    • This page shows the commands to be used for many aspects of a statistical analysis, and has been created especially for experienced users of some other statistical packages
    • Cookbook for R offers many great examples
    • Several on-line courses at the beginner and intermediate level with lots of exercises
    • Documentation for R packages organized by topical domains
 
    • Other sites to get you started are Impatient R and Statistics with R.
    • There is a book called "R for SAS and SPSS users''. The corresponding web site also has a freely downloadable early version of the book. It also has a comparison table that lists for many SAS and SPSS procedures the corresponding R packages.
  • Manuals (basic)
Added:
>
>
    • Other useful cheat sheets (for ggplot2 and dplyr/tidyr) provided by the people at RStudio
 
  • Manuals (advanced)
Line: 81 to 85
 

Added:
>
>
 
Deleted:
<
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-- PerryMoerland - 2015-06-01
 
META TOPICMOVED by="PerryMoerland" date="1347869704" from="BioLab.StatisticalComputinginR" to="BioLab.ComputinginR"
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Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic statistical analyses and for plotting publication-quality figures.
Changed:
<
<

Schedule and course material (September 2014)

>
>

Schedule and course material (June 2015)

 
Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L0-229 September 15, 2014 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
  September 15, 2014 12.30-13.30 Lunch break      
L0-229 September 15, 2014 13.30-16.30        
L0-229 September 16, 2014 09.30-12.30        
  September 16, 2014 12.30-13.30 Lunch break      
L0-229 September 16, 2014 13.30-16.30        
>
>
L0-227 June 1, 2015 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
  June 1, 2015 12.30-13.30 Lunch break      
L0-227 June 1, 2015 13.30-16.30        
L0-227 June 2, 2015 09.30-12.30        
  June 2, 2015 12.30-13.30 Lunch break      
L0-227 June 2, 20145 13.30-16.30        
 

Datasets for the exercises

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Information on Bioconductor

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>
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-- PerryMoerland - 2015-06-01
 

META TOPICMOVED by="PerryMoerland" date="1347869704" from="BioLab.StatisticalComputinginR" to="BioLab.ComputinginR"
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META TOPICPARENT name="EducationBioLab"
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Computing in R

Changed:
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This course is part of the PhD course program of the AMC Graduate School.
>
>
This course is part of the PhD course program of the AMC Graduate School.
 

  • Location: Academic Medical Center, Amsterdam.
  • Course material: All course material is provided during the course, no need to print anything yourself
Line: 42 to 42
 
    • A basic introduction to R, somewhat in line with this course.
    • This page shows the commands to be used for many aspects of a statistical analysis, and has been created especially for experienced users of some other statistical packages.
    • Cookbook for R
Changed:
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<
>
>
    • Other sites to get you started are Impatient R and Statistics with R.
    • There is a book called "R for SAS and SPSS users''. The corresponding web site also has a freely downloadable early version of the book. It also has a comparison table that lists for many SAS and SPSS procedures the corresponding R packages.
 
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Changed:
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  • Many books have been written that explain how to use R for statistical analysis. See
Changed:
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  • Miscellaneous
    • A web site with many beautiful graphs and the corresponding R code
Changed:
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>
>
 

Information on Bioconductor

Line: 86 to 84
 
Changed:
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-- PerryMoerland - 2014-09-09
>
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-- PerryMoerland - 2014-09-12
 

META TOPICMOVED by="PerryMoerland" date="1347869704" from="BioLab.StatisticalComputinginR" to="BioLab.ComputinginR"
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META TOPICPARENT name="EducationBioLab"
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Back to menu

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  • Teachers: Perry Moerland (coordinator) and Ronald Geskus

Goal

Changed:
<
<
R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner the learning curve of mastering R can be rather steep. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic statistical analyses and for plotting publication-quality figures.
>
>
R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic statistical analyses and for plotting publication-quality figures.
 
Changed:
<
<

Schedule and course material (June 2014)

>
>

Schedule and course material (September 2014)

 
Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L01-243/245 June 2, 2014 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
  June 2, 2014 12.30-13.30 Lunch break      
L01-243/245 June 2, 2014 13.30-16.30        
L01-243/245 June 3, 2014 09.30-12.30        
  June 3, 2014 12.30-13.30 Lunch break      
L01-243/245 June 3, 2014 13.30-16.30        
>
>
L0-229 September 15, 2014 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
  September 15, 2014 12.30-13.30 Lunch break      
L0-229 September 15, 2014 13.30-16.30        
L0-229 September 16, 2014 09.30-12.30        
  September 16, 2014 12.30-13.30 Lunch break      
L0-229 September 16, 2014 13.30-16.30        
 

Datasets for the exercises

Line: 87 to 86
 
Changed:
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-- PerryMoerland - 2014-05-28
>
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-- PerryMoerland - 2014-09-09
 

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META TOPICPARENT name="EducationBioLab"
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Medical Bioinformatics

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Back to menu

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Schedule and course material (June 2014)

Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L01-243/245 June 2, 2014 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
>
>
L01-243/245 June 2, 2014 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
 
  June 2, 2014 12.30-13.30 Lunch break      
L01-243/245 June 2, 2014 13.30-16.30        
L01-243/245 June 3, 2014 09.30-12.30        
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  • R homepage
  • R and its packages can be downloaded from CRAN
  • Introductory material
Changed:
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>
    • A basic introduction to R, somewhat in line with this course.
 
Line: 75 to 75
 
Changed:
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    • A web site with many beautiful graphs and the corresponding R code
>
>
    • A web site with many beautiful graphs and the corresponding R code
 
Revision 23
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META TOPICPARENT name="EducationBioLab"
Medical Bioinformatics

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  This course is part of the PhD course program of the AMC Graduate School.

  • Location: Academic Medical Center, Amsterdam.
Changed:
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<
  • Course material: All course material is provided during the course, no need to print anything yourself
>
>
  • Course material: All course material is provided during the course, no need to print anything yourself
 
  • ECTS: 0.4
  • Teachers: Perry Moerland (coordinator) and Ronald Geskus

Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner the learning curve of mastering R can be rather steep. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic statistical analyses and for plotting publication-quality figures.
Changed:
<
<

Schedule and course material (updated for the October 2013 course)

>
>

Schedule and course material (June 2014)

 
Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L01-243/245 October 28, 2013 09.30-12.30   Handout Slides Example code (Rmd) Example code (html) pdf pdf R code
  October 28, 2013 12.30-13.30 Lunch break      
L01-243/245 Ocotober 28, 2013 13.30-16.30        
L01-243/245 October 29, 2013 09.30-12.30        
  October 29, 2013 12.30-13.30 Lunch break      
L01-243/245 October 29, 2013 13.30-16.30        
>
>
L01-243/245 June 2, 2014 09.30-12.30   Handout Slides, Example code (Rmd), Example code (html) pdf pdf, R code
  June 2, 2014 12.30-13.30 Lunch break      
L01-243/245 June 2, 2014 13.30-16.30        
L01-243/245 June 3, 2014 09.30-12.30        
  June 3, 2014 12.30-13.30 Lunch break      
L01-243/245 June 3, 2014 13.30-16.30        
 

Datasets for the exercises

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Changed:
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>
 

Information on Bioconductor

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Changed:
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<
-- PerryMoerland - 2013-10-21
>
>
-- PerryMoerland - 2014-05-28
 

META TOPICMOVED by="PerryMoerland" date="1347869704" from="BioLab.StatisticalComputinginR" to="BioLab.ComputinginR"
Revision 21
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META TOPICPARENT name="EducationBioLab"
Medical Bioinformatics

Line: 21 to 21
 

Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner the learning curve of mastering R can be rather steep. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic statistical analyses and for plotting publication-quality figures.
Changed:
<
<

Schedule and course material (2013, material is from June 2013 and will be updated for the October 2013 course)

>
>

Schedule and course material (updated for the October 2013 course)

 
Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L01-243/245 October 28, 2013 09.30-12.30   Notes Slides Example code (Rmd) Example code (html) pdf pdf R code
>
>
L01-243/245 October 28, 2013 09.30-12.30   Handout Slides Example code (Rmd) Example code (html) pdf pdf R code
 
  October 28, 2013 12.30-13.30 Lunch break      
L01-243/245 Ocotober 28, 2013 13.30-16.30        
L01-243/245 October 29, 2013 09.30-12.30        
Line: 34 to 34
 

Datasets for the exercises

Changed:
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<
>
>
 

Information on R

Line: 42 to 42
 
  • Introductory material
    • A basic introduction to R, somewhat in line with this course. See also here.
    • This page shows the commands to be used for many aspects of a statistical analysis, and has been created especially for experienced users of some other statistical packages.
Changed:
<
<
>
>
 
    • There is also an R wiki with information for starters and much more information
    • There is a book called "R for SAS and SPSS users''. The website for the book is http://r4stats.com. This web site also has a freely downloadable early version of the book. It also has a comparison table that lists for many SAS and SPSS procedures the corresponding R packages.
  • Manuals (basic)
    • An introduction to R (pdf,html): R in 100 pages
Changed:
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<
>
>
 
  • Manuals (advanced)
Line: 60 to 61
 
  • Editors
    • RStudio provides an intuitive interface to R and powerful coding tools
    • Tinn-R
Changed:
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Added:
>
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Revision 19
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META TOPICPARENT name="EducationBioLab"
Medical Bioinformatics

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Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner the learning curve of mastering R can be rather steep. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic statistical analyses and for plotting publication-quality figures.
Changed:
<
<

Schedule and course material (2013)

>
>

Schedule and course material (2013, material is from June 2013 and will be updated for the October 2013 course)

 
Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L01-243/245 June 24, 2013 09.30-12.30   Notes Slides Example code (Rmd) Example code (thml) pdf pdf R code
  June 24, 2013 12.30-13.30 Lunch break      
L01-243/245 June 24, 2013 13.30-16.30        
L01-243/245 June 25, 2013 09.30-12.30        
  June 25, 2013 12.30-13.30 Lunch break      
L01-243/245 June 25, 2013 13.30-16.30        
>
>
L01-243/245 October 28, 2013 09.30-12.30   Notes Slides Example code (Rmd) Example code (html) pdf pdf R code
  October 28, 2013 12.30-13.30 Lunch break      
L01-243/245 Ocotober 28, 2013 13.30-16.30        
L01-243/245 October 29, 2013 09.30-12.30        
  October 29, 2013 12.30-13.30 Lunch break      
L01-243/245 October 29, 2013 13.30-16.30        
 

Datasets for the exercises

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Changed:
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-- PerryMoerland - 2013-06-18
>
>
-- PerryMoerland - 2013-10-21
 

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META TOPICPARENT name="EducationBioLab"
Medical Bioinformatics

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Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner the learning curve of mastering R can be rather steep. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic statistical analyses and for plotting publication-quality figures.
Changed:
<
<

Schedule and course material (2012)

>
>

Schedule and course material (2013)

 
Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L0-211 October 8, 2012 09.30-12.30   Notes Slides Example code pdf pdf R code
  October 8, 2012 12.30-13.30 Lunch break      
L0-211 October 8, 2012 13.30-16.30        
L01-243/245 October 9, 2012 09.30-12.30        
  October 9, 2012 12.30-13.30 Lunch break      
L01-243/245 October 9, 2012 13.30-16.30        
>
>
L01-243/245 June 24, 2013 09.30-12.30   Notes Slides Example code (Rmd) Example code (thml) pdf pdf R code
  June 24, 2013 12.30-13.30 Lunch break      
L01-243/245 June 24, 2013 13.30-16.30        
L01-243/245 June 25, 2013 09.30-12.30        
  June 25, 2013 12.30-13.30 Lunch break      
L01-243/245 June 25, 2013 13.30-16.30        
 

Datasets for the exercises

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Changed:
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-- PerryMoerland - 2012-10-02
>
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-- PerryMoerland - 2013-06-18
 

META TOPICMOVED by="PerryMoerland" date="1347869704" from="BioLab.StatisticalComputinginR" to="BioLab.ComputinginR"
Revision 15
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META TOPICPARENT name="EducationBioLab"
Medical Bioinformatics

Line: 24 to 24
 

Schedule and course material (2012)

Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L0-211 October 8, 2012 09.30-12.30   Notes Slides Example code pdf pdf R code
>
>
L0-211 October 8, 2012 09.30-12.30   Notes Slides Example code pdf pdf R code
 
  October 8, 2012 12.30-13.30 Lunch break      
L0-211 October 8, 2012 13.30-16.30        
L01-243/245 October 9, 2012 09.30-12.30        
Line: 73 to 73
 
Changed:
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    • A web site with many beautiful graphs and the corresponding R code is
>
>
    • A web site with many beautiful graphs and the corresponding R code
 
Revision 13
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META TOPICPARENT name="EducationBioLab"
Medical Bioinformatics

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Computing in R

Changed:
<
<
This course is part of the PhD course program of the AMC Graduate School.
>
>
This course is part of the PhD course program of the AMC Graduate School.
 

  • Location: Academic Medical Center, Amsterdam.
  • Course material: All course material is provided during the course, no need to print anything yourself
Line: 24 to 24
 

Schedule and course material (2012)

Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L0-211 October 8, 2012 09.30-12.30   Notes Slides Example code pdf pdf R code
>
>
L0-211 October 8, 2012 09.30-12.30   Notes Slides Example code pdf pdf R code
 
  October 8, 2012 12.30-13.30 Lunch break      
L0-211 October 8, 2012 13.30-16.30        
L01-243/245 October 9, 2012 09.30-12.30        
Line: 44 to 44
 
Changed:
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<
    • There is a book called "R for SAS and SPSS users''. The website for the book is http://rforsasandspssusers.com. This web site also has a freely downloadable early version of the book. It also has a comparison table that lists for many SAS and SPSS procedures the corresponding R packages. See also http://r4stats.com.
>
>
    • There is a book called "R for SAS and SPSS users''. The website for the book is http://r4stats.com. This web site also has a freely downloadable early version of the book. It also has a comparison table that lists for many SAS and SPSS procedures the corresponding R packages.
 
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Changed:
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Information on Bioconductor

Revision 11
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Medical Bioinformatics

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  -->
Changed:
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Statistical Computing in R

>
>

Computing in R

 

This course is part of the PhD course program of the AMC Graduate School.

  • Location: Academic Medical Center, Amsterdam.
Changed:
<
<
  • Course material: All course material is provided during the course.
>
>
  • Course material: All course material is provided during the course, no need to print anything yourself
 
  • ECTS: 0.4
  • Teachers: Perry Moerland (coordinator) and Ronald Geskus

Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner the learning curve of mastering R can be rather steep. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic statistical analyses and for plotting publication-quality figures.
Changed:
<
<

Schedule and course material

>
>

Schedule and course material (2012)

 
Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L01-243/245 October 3, 2011 09.30-12.30   Notes Slides Example code pdf pdf R code
  October 3, 2011 12.30-13.30 Lunch break      
L01-243/245 October 3, 2011 13.30-16.30        
L01-243/245 October 4, 2011 09.30-12.30        
  October 3, 2011 12.30-13.30 Lunch break      
L01-243/245 October 4, 2011 13.30-16.30 Biostatistics track      
L01-243/245 October 4, 2011 13.30-16.30 Bioinformatics track      
>
>
L0-211 October 8, 2012 09.30-12.30   Notes Slides Example code pdf pdf R code
  October 8, 2012 12.30-13.30 Lunch break      
L0-211 October 8, 2012 13.30-16.30        
L01-243/245 October 9, 2012 09.30-12.30        
  October 9, 2012 12.30-13.30 Lunch break      
L01-243/245 October 9, 2012 13.30-16.30        
 

Datasets for the exercises

Line: 85 to 85
 
Changed:
<
<

More information for the bioinformatics track

  • The ClassDiscovery package is not on CRAN or Bioconductor but at MDAnderson. Just issue the oompaLite() command mentioned there.
>
>
-- PerryMoerland - 2012-10-02
 
Deleted:
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-- PerryMoerland - 2011-09-24
  \ No newline at end of file
Added:
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Medical Bioinformatics

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Schedule and course material

Location Day Time Topic Lectures Exercises Answers
Changed:
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L01-243/245 October 3, 2011 09.30-12.30   Notes Slides Example code pdf pdf  
>
>
L01-243/245 October 3, 2011 09.30-12.30   Notes Slides Example code pdf pdf R code
 
  October 3, 2011 12.30-13.30 Lunch break      
L01-243/245 October 3, 2011 13.30-16.30        
L01-243/245 October 4, 2011 09.30-12.30        
Revision 7
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META TOPICPARENT name="EducationBioLab"
Medical Bioinformatics

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Schedule and course material

Location Day Time Topic Lectures Exercises Answers
Changed:
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<
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>
>
L01-243/245 October 3, 2011 09.30-12.30   Notes Slides Example code pdf pdf  
 
  October 3, 2011 12.30-13.30 Lunch break      
L01-243/245 October 3, 2011 13.30-16.30        
L01-243/245 October 4, 2011 09.30-12.30        
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Added:
>
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More information for the bioinformatics track

  • The ClassDiscovery package is not on CRAN or Bioconductor but at MDAnderson. Just issue the oompaLite() command mentioned there.
  -- PerryMoerland - 2011-09-24
Revision 5
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META TOPICPARENT name="EducationBioLab"
Medical Bioinformatics

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  • Teachers: Perry Moerland (coordinator) and Ronald Geskus

Goal

Changed:
<
<
R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R, it is a popular alternative for programs like SPSS. However, for a beginner the learning curve of mastering R can be rather steep. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic statistical analyses and for plotting publication-quality figures.
>
>
R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R. it is a popular alternative for programs like SPSS. However, for a beginner the learning curve of mastering R can be rather steep. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic statistical analyses and for plotting publication-quality figures.
 

Schedule and course material

Location Day Time Topic Lectures Exercises Answers
Changed:
<
<
L01-243/245 October 3, 2011 09.30-12.30        
>
>
L01-243/245 October 3, 2011 09.30-12.30   Notes Slides pdf pdf  
 
  October 3, 2011 12.30-13.30 Lunch break      
L01-243/245 October 3, 2011 13.30-16.30        
L01-243/245 October 4, 2011 09.30-12.30        
Line: 34 to 34
 

Datasets for the exercises

Added:
>
>
 

Information on R

  • R homepage
  • R and its packages can be downloaded from CRAN
  • Introductory material
Changed:
<
<
    • A basic introduction to R, somewhat in line with this course, can be found here or here.
>
>
 
Changed:
<
<
    • There is a book called ``R for SAS and SPSS users''. The website for the book is http://rforsasandspssusers.com. This web site also has a freely downloadable early version of the book. It also has a comparison table that lists for many SAS and SPSS procedures the corresponding R packages. See also http://r4stats.com.
>
>
    • There is a book called "R for SAS and SPSS users''. The website for the book is http://rforsasandspssusers.com. This web site also has a freely downloadable early version of the book. It also has a comparison table that lists for many SAS and SPSS procedures the corresponding R packages. See also http://r4stats.com.
 
Line: 52 to 53
 
    • R Language Definition (pdf,html)
    • Writing R Extensions (pdf,html)
    • R Installation and Administration (pdf,html)
Added:
>
>
 

Pointers

  • Editors
Revision 3
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META TOPICPARENT name="EducationBioLab"
Medical Bioinformatics

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Schedule and course material

Changed:
<
<
Location Day Time Topic Lectures Exercises Data
L0-243/245 October 3, 2011 09.30-12.30        
>
>
Location Day Time Topic Lectures Exercises Answers
L01-243/245 October 3, 2011 09.30-12.30        
 
  October 3, 2011 12.30-13.30 Lunch break      
Changed:
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<
L0-243/245 October 3, 2011 13.30-16.30        
L0-243/245 October 4, 2011 09.30-12.30        
>
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L01-243/245 October 3, 2011 13.30-16.30        
L01-243/245 October 4, 2011 09.30-12.30        
 
  October 3, 2011 12.30-13.30 Lunch break      
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L0-243/245 October 4, 2011 13.30-16.30 Biostatistics track      
L0-243/245 October 4, 2011 13.30-16.30 Bioinformatics track      
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L01-243/245 October 4, 2011 13.30-16.30 Biostatistics track      
L01-243/245 October 4, 2011 13.30-16.30 Bioinformatics track      

Datasets for the exercises

 

Information on R

  • R homepage
  • R and its packages can be downloaded from CRAN
  • Introductory material
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    • A basic introduction to R, somewhat in line with this course, can be found at \url{http://www.math.ilstu.edu/dhkim/Rstuff/Rtutor.html} or\\ \url{http://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/}.\ * A further introduction to R is found on\\ \url{http://www.statmethods.net/index.html}. This page shows the commands to be used for many aspects of a statistical analysis, and has been created especially for experienced users of some other statistical packages.
    • Other sites to get you started are\\ \url{http://www.burns-stat.com/pages/Tutor/hints_R_begin.html} and \url{http://zoonek2.free.fr/UNIX/48_R/all.html}.
    • There is also an R wiki with information for starters and much more information \url{http://rwiki.sciviews.org/doku.php}.
    • There is a book called ``R for SAS and SPSS users''. The website for the book is \url{http://rforsasandspssusers.com/}. This web site also has a freely downloadable early version of the book. It also has a comparison table that lists for many SAS and SPSS procedures the corresponding R packages. See also \url{http://r4stats.com/}.
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