Course overview

class: title-slide

# Course overview

## Welcome and organization

.center[<img src="img/00/logo_ryouready.png" width="150px"/>]

### Veronica Codoni, Roland Krause, Milena Zizovic | First steps with R | 6 Dec 2022

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# Good morning!

.pull-left[
### What you can do now:

#### Check for material at the main site

.huge[https://rintro.uni.lu/]

#### Install R, RStudio and packages

.Large[https://rintro.uni.lu/install_tutorial.html]

]

.pull-right[
#### Check your install

]

---
# Overview
.flex[
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.large[.bbox[Learning objectives ]
This course provides an introduction to .bold[R] basics and `RStudio` in an interactive manner.

This training prepares learners for working on projects in R with R Studio and provides essentials for performing more complex tasks such as those covered by `Data processing with R Tidyverse` and `	Statistical tests and statistical learning for omics data` courses.

]]

.w-40.bg-washed-yellow.b--gold.ba.bw2.br3.shadow-5.ph3.mr1[
.large[.bbox[Content ]

.float-img[![](./img/00/logo_r.png)]
- R data structures
- Basic transformations 
- Descriptive statistics
- Basic plot capabilities

The course workload ~ 20 hours (**1 ECTS**) is composed of:

]
]

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.flex.mt1[
.w-33.bg-washed-green.b--green.ba.bw2.br3.shadow-5.ph3.mr1[
.large[.gbox[Lectures]

- Slides, formal lecture
- Quick exercises inserted
- Live demo

]]

.w-33.bg-washed-blue.b--blue.ba.bw2.br3.shadow-5.ph3.mr1[
.large[.bbox[Practicals]

- Detailed exercises
- Solutions hidden/revealed
- Questions at anytime [veronica.codoni@uni.lu](mailto:veronica.codoni@uni.lu) 
]]

.w-33.bg-washed-yellow.b--red.ba.bw2.br3.shadow-5.ph3.mr1[
.large[.rbox[1 ECTS]

- Written and practical exercises, `R script` files
- **All** documents allowed
- Internet allowed
]]]

---

## Internet access allowed, watch out time

### why allowed

.pull-left[

<blockquote class="twitter-tweet" data-lang="fr"><p lang="en" dir="ltr">Hello my name is Joby, I have a PhD in Physics and I work for NASA and I just had to look up the equation for  the volume of a sphere</p>&mdash; Joby Hollis 🏳️
🌈🇪🇺 (@Jobium) <a href="https://twitter.com/Jobium/status/1036670558539112448?ref_src=twsrc%5Etfw">3 septembre 2018</a></blockquote>
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
]

.pull-right[

.flex[
.w-50.bg-washed-red.b--red.ba.bw2.br3.shadow-5.ph3.mt3.ml5[
.large[.rbox[Downside!]]

.center.bold[Time vanishes fast if you aren't prepared!]

]
]
]

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# Speaker & helpers
.flex.justify-around[
.w-30.bg-washed-yellow.b--gold.ba.bw2.br3.shadow-5.ph3.mt1.mr1[
.large.center[.bbox[Veronica Codoni]

.left[
* Course design
* Main instructor
]]]

.w-30.bg-washed-blue.b--gold.ba.bw2.br3.shadow-5.ph3.mt1.mr1[
.large[.bbox[ Roland Krause ]

* Support
]
]
.w-30.bg-washed-blue.b--gold.ba.bw2.br3.shadow-5.ph3.mt1.mr1[
.large[.bbox[Milena Zizovic]

* Support

]
]
]

---

# Time table

.w-40.bg-washed-blue.b--blue.ba.bw2.br3.shadow-5.ph3.mt3.ml7[
.large[.bbox[Day 1 - 2 - 3 ]]

Time  |                                  |
------|----------------------------------
09:45 | `Set-up & questions` 
10:00 | `Course work` - mix of lectures and exercises
13:00 | Expected `finish` 
&nbsp;

]

---
# Let the journey into R begin!

.center[![](img/00/journey_to_R.png)]

.pull-right[.footnote[Credit: Artwork by [Allison Horst](https://github.com/allisonhorst)]]

---

# Demo live: Baby names over 137 years in US

Data set was provided by the USA social security administration gathered information on baby names in _US_ for each year from 1880 to 2017. All names with more than 5 uses were included.
(Source: http://www.ssa.gov/oact/babynames/limits.html)

The data set is part of `babynames` R package, developed by [Hadley Wickham](https://github.com/hadley/babynames), and needs to be installed with `install.packages("babynames")`

.pull-left[

### Dataset

```r
# Install the released version from CRAN
install.packages("babynames")
library(babynames)
babynames
```

~~~
# A tibble: 1,924,665 x 5
    year sex   name          n   prop
   <dbl> <chr> <chr>     <int>  <dbl>
 1  1880 F     Mary       7065 0.0724
 2  1880 F     Anna       2604 0.0267
 3  1880 F     Emma       2003 0.0205
 4  1880 F     Elizabeth  1939 0.0199
 5  1880 F     Minnie     1746 0.0179
 6  1880 F     Margaret   1578 0.0162
 7  1880 F     Ida        1472 0.0151
 8  1880 F     Alice      1414 0.0145
 9  1880 F     Bertha     1320 0.0135
10  1880 F     Sarah      1288 0.0132
# … with 1,924,655 more rows
~~~

]

.pull-right[
### Questions?
.Large[
- Number of babies born per year
- Evolution of **your** first name
- Comparison of popularity between names over the years
- ...
]

.footnote[Install line must be commented out with a `#` to avoid running it at each knit compilation.]

]