README.Rmd 991 Bytes
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---
title: "32 drugs"
output: 
    md_document:
      preserve_yaml: FALSE
      fig_width: 7
      fig_height: 5
      toc: yes
      toc_depth: 2
---

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# Motivation
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Getting up to speed with R using dose-response for 32 drugs against 6
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bacterial strains.
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# Tasks

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In the following, we go through the most common steps in data analysis:
exploration and transformation (to derive new variables). Integral to both
steps is visualization i.e. making graphs.
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## Explore

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1. Plot growth curves following raw OD in time. [Input
   data](doc/tasks/01_dat.csv) and expected [output
   plot](doc/tasks/01_out.pdf) are provided. The data is for azithromycin
   against _S. flexneri_ M90T from day 2022-05-04 (first replicate). _A tip: Use `facet_wrap` with `ncol = 1` argument to have different concentrations on separate plots._
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2. Try again, now with [data](doc/tasks/02_dat.csv) from two days. In addition,
   transform the y-axis to logarithmic scale. [Expected output](doc/tasks/02_out.pdf).