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hide lecture scripts from the previous year
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jmbuhr committed Aug 21, 2021
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671 changes: 25 additions & 646 deletions 01-intro.Rmd

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4 changes: 4 additions & 0 deletions 02-dplyr.Rmd
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with the tidyverse, wrangle different kinds of data and
learn about factors.

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- [How to find help](https://www.tidyverse.org/help/#reprex)
- [R4DS online learning community](https://www.rfordatasci.com/)
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5 changes: 5 additions & 0 deletions 03-tidy.Rmd
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advanced data wrangling techniques and get a sneak peak at
iteration.

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- [stringr documentation](https://stringr.tidyverse.org/)
for working with text and a helpful cheatsheet for
the **regular expressions** mentioned in the video
-->

3 changes: 3 additions & 0 deletions 04-lecture.Rmd
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> ... which is all about functions, bringing the whole tidyverse together and
exploring advanced dplyr data wrangling techniques.

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- [stringr documentation](https://stringr.tidyverse.org/)
- [dplyr documentation](https://dplyr.tidyverse.org/)
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4 changes: 4 additions & 0 deletions 05-lecture.Rmd
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> ... in which we reason about the nature of randomness and
discover various statistical tests.

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- <https://jimgruman.netlify.app/post/education-r/>
- [P-Value histograms blogpost by David Robinson](http://varianceexplained.org/statistics/interpreting-pvalue-histogram/)
- ["Statistics done wrong"](https://www.statisticsdonewrong.com/)
-->
4 changes: 4 additions & 0 deletions 06-lecture.Rmd
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find out about the central limit theorem and related statistical tests
and become N-dimensional whale sharks.

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- [Tidymodels book](https://www.tmwr.org/)
- [ggplot book](https://ggplot2-book.org/)
- [ragg graphics device](https://ragg.r-lib.org/)
-->
5 changes: 4 additions & 1 deletion 07-lecture.Rmd
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> ... in which we hear Stories of Warplanes,
Correlation and Regression and explore the Datasaurus Dozen.

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that speaks to you: <https://github.com/rfordatascience/tidytuesday>

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6 changes: 5 additions & 1 deletion 08-freestyle.Rmd
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# Freestyle

> ... in which we venture into the unknown to show an example data
analysis, gather more data with webscraping and build a small app.
analysis.

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It is anonymous, so I have no way of tracking who
submitted it. I will just assume you all did and
count it as a completed exercise.
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4 changes: 4 additions & 0 deletions 90-resources.Rmd
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- [StatQuest!!! with Josh Starner](https://statquest.org/video-index/#statistics)
- [Modern Statistics for Modern Biology](https://www.huber.embl.de/msmb/index.html)

## Helpful tools

- [Generate ggplots via graphical user interface with esquisee](https://github.com/dreamRs/esquisse)

## Talks, Podcasts, Blogs, Videos

Just some of the people with inspiring blogposts, videos and the likes.
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10 changes: 0 additions & 10 deletions R/_common.R
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library(knitr)
library(rmarkdown)

options(tidyverse.quiet = TRUE)

opts_chunk$set(
out.width = "100%",
warning = FALSE,
message = FALSE
)
4 changes: 3 additions & 1 deletion README.md
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This is where you will find all the resources for the course Introduction to Data Analysis with R
This is where you will find all the resources for the course Introduction to Data Analysis with R

<https://jmbuhr.de/dataintro>
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