In DataScienceILC/tlsc-dsfb26v-20_workflows: Bookdown site for workflows course
Lesson 4.2 - RMarkdown - Code chunks {#rmarkdownchunks}
knitr::opts_chunk$set(echo = TRUE)
R Markdown chunks
This chapter is best read in the source RMarkdown file
This lesson is about controlling the behaviour of RMarkdown chunks. The advanced nature of this chapter is that we will control chapter options by using RMarkdown parameters.
Illustrate the use of controlling reporting flow for different types of statistical analyses for different types of data input -> paramtetric vs non-parameteric, T-test vs One-way anova, Dose-Response Curve...
DataScienceILC/tlsc-dsfb26v-20_workflows documentation built on July 4, 2025, 5:49 a.m.
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Lesson 4.2 - RMarkdown - Code chunks {#rmarkdownchunks}
knitr::opts_chunk$set(echo = TRUE)
R Markdown chunks
This chapter is best read in the source RMarkdown file
This lesson is about controlling the behaviour of RMarkdown chunks. The advanced nature of this chapter is that we will control chapter options by using RMarkdown parameters.
Illustrate the use of controlling reporting flow for different types of statistical analyses for different types of data input -> paramtetric vs non-parameteric, T-test vs One-way anova, Dose-Response Curve...
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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