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Computing in R  
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GoalR 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.  
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Computing in R  
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GoalR 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.  
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GoalR 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.  
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Computing in R  
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GoalR 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.  
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Information on R  
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GoalR 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.  
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Computing in R  
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GoalR 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.  
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GoalR 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.  
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Goal  
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< <  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.  
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Information on BioconductorBioconductor 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 highthroughput data are available from Bioconductor.  
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GoalR 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.  
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Computing in R  
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Goal  
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< <  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.  
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Goal  
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< <  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 publicationquality 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.  
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GoalR 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 publicationquality figures.  
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Information on Bioconductor  
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Computing in R  
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Goal  
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< <  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 publicationquality 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 publicationquality figures.  
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This course is part of the PhD course program of the AMC Graduate School.
 
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GoalR 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 publicationquality figures.  
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GoalR 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 publicationquality figures.  
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GoalR 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 publicationquality figures.  
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GoalR 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 publicationquality figures.  
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Schedule and course material (2013)  
 
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Schedule and course material (2012)
 
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Computing in R  
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Schedule and course material (2012)
 
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>  
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Statistical Computing in R  
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Computing in R  
This course is part of the PhD course program of the AMC Graduate School.
 
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GoalR 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 publicationquality figures.  
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More information for the bioinformatics track
 
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Goal  
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< <  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 publicationquality 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 publicationquality figures.  
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Pointers

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