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session-intro.qmd
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---
title: "Introduction to R and Rstudio"
subtitle: "Session - Introduction"
execute:
echo: false
---
## Agenda - session one (about 3.5 hours)
Chapter overview
::: {.fragment .fade-in}
Introduction and getting started
:::
::: {.fragment .fade-in}
--------- Break -----------
:::
::: {.fragment .fade-in}
Importing data
:::
::: {.fragment .fade-in}
Introduce features of coding
:::
::: {.fragment .fade-in}
--------- Course end -----------
:::
## Agenda - session two (about 3.5 hours)
Chapter overview
::: {.fragment .fade-in}
Manipulating data
:::
::: {.fragment .fade-in}
--------- Break -----------
:::
::: {.fragment .fade-in}
Finding help
:::
::: {.fragment .fade-in}
--------- Course end ---------
:::
## Agenda - session three (about 3.5 hours)
Chapter overview
::: {.fragment .fade-in}
Introducing {ggplot2} for data visualisations
:::
::: {.fragment .fade-in}
--------- Break -----------
:::
::: {.fragment .fade-in}
Further useful functions from packages to clean data
:::
::: {.fragment .fade-in}
--------- Course end ---------
:::
## Course Aims
::: incremental
- To introduce RStudio as an IDE (integrated development environment)
- Introduce familiar concepts of data manipulation but using R
- Practice these concepts and bring them together in a Quarto report
:::
## Reasons to use R
::: incremental
- [Community](https://nhsrcommunity.slack.com)
- [Collaboration](https://github.com/nhs-r-community)
- [Open coding](https://www.gov.uk/government/publications/better-broader-safer-using-health-data-for-research-and-analysis/better-broader-safer-using-health-data-for-research-and-analysis)
- [Reproducible Analytical Pipelines](https://analysisfunction.civilservice.gov.uk/support/reproducible-analytical-pipelines/)
:::
## End session