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Practical 1: Advanced Data Analysis: full summary + explanations $5.89
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  7. Advanced Data Analysis (2052FBDBMW)

Summary

Practical 1: Advanced Data Analysis: full summary + explanations

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  • Course
  • Advanced Data Analysis (2052FBDBMW)
  • Institution
  • Universiteit Antwerpen (UA)

A detailed description of each step of practical 1, including screenshots and explanations of the steps taken in R. This document includes everything that is seen in class, and all the exercises that are needed to be made for practical 1 of Advanced Data Analysis of the first master of Biomedical S...

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Document information

  • March 19, 2022
  • 27
  • 2021/2022
  • Summary

Subjects

  • advanced data analysis
  • practical 1
  • erik fransen
  • biomedical sciences
  • r

Written for

  • Universiteit Antwerpen (UA)
  • Biomedische Wetenschappen
  • Advanced Data Analysis (2052FBDBMW)
All documents for this subject (19)

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ADVANCED DATA
ANALYSIS
Practical 1: classroom introduction
1. Basic syntax of R
 R uses the command line: not a graphical click-and-point interface
 Typing your commands in an editor saved in a text file

First, open R x64 4.1.2: then you get the crude R graphical user interface. You can type after the red
arrow. You can also assign a certain result or calculation to a particular object: here we use a. From
now on, R knows that a stands for 15.




You can then use this a to do calculations, for example log(a). This log is what they call a ‘function’ in
R: like the working horse in R. These objects can perform statistical functions. a is the input of the log
function, and the input of a R function is referred to as an argument. The output of this calculation
can then again be assigned to another object, for example b.




 a <- 25 R is case-sensitive!
 b <- log(a)

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