Skip to content

Commit b83cec6

Browse files
authored
Update with new tutorials
1 parent 76dcd08 commit b83cec6

File tree

1 file changed

+11
-10
lines changed

1 file changed

+11
-10
lines changed

README.md

Lines changed: 11 additions & 10 deletions
Original file line numberDiff line numberDiff line change
@@ -20,39 +20,40 @@ library(learnr)
2020
With these successfully installed we can now install the package from this repository.
2121

2222
```
23-
devtools::install_github("coding-for-reproducible-research/cfrr-r-tutorials")
23+
devtools::install_github("coding-for-reproducible-research/cfrrRtutorials")
2424
```
2525

2626
This package includes a number of tutorials that we deliver workshops on. Each tutorial comes in an interactive document with the course notes, code examples, exercises and quiz questions. Therefore these also function as self contained study notes which you can work through at your pace.
2727

2828
To get a list of the tutorials we currently have available you can run
2929

3030
```
31-
available_tutorials("cfrrRTutorials")
31+
available_tutorials("cfrrRtutorials")
3232
```
3333

3434
This should give a list like the following
3535

3636
```
3737
Available tutorials:
38-
* cfrrRTutorials
39-
- Advanced Regression Analysis : "Advanced Regression Analysis with R"
40-
- Regression Analysis with R : "Introduction to Regression Analysis with R"
38+
* cfrrRtutorials
39+
- Introduction to Regression with R : "Introduction to Regression with R"
40+
- Mixed Effects Regression with R : "Mixed Effects Regression with R"
41+
- Regression Analysis in R: Adapting to Varied Data Types : "Regression Analysis in R: Adapting to Varied Data Types"
4142
```
4243

4344

4445
You can launch any of these tutorials with the `run_tutorial` function from the `learnr` package. Note, upon execution the command below first needs to build the interactive elements. This may take a few minutes. The progress of the build can be seen in the **Jobs** tab in the bottom left panel of Rstudio.
4546

46-
For example to launch the "Regression Analysis with R" tutorial which is an introductory course , you can run:
47+
For example to launch the "Introduction to Regression with R " tutorial which is an introductory course , you can run:
4748

4849
```
49-
learnr::run_tutorial("Regression Analysis with R", "cfrrRTutorials")
50+
learnr::run_tutorial("Introduction to Regression with R", "cfrrRtutorials")
5051
```
5152

5253
When ready the tutorial may launch in a new window, or (more likely) there will be some output in red in the **Jobs** console that says something like:
5354

5455
```
55-
Output created: Regression-Analysis-with-R.html
56+
Output created: Introduction-to-Regression-with-R .html
5657
5758
Listening on http://127.0.0.1:38555
5859
@@ -62,7 +63,7 @@ Listening on http://127.0.0.1:38555
6263
+------------------------------------------------------------------------+
6364
```
6465

65-
To launch the tutorial you shuold need to copy the web address in this case (http://127.0.0.1:38555) into a web browser of your choice, such as Chrome.
66+
If the tutorial doe snot automatically launch in a new windonw, to launch it copy the web address in this case (http://127.0.0.1:38555) into a web browser of your choice, such as Chrome.
6667

6768
You can then start the workshop in this document. You can navigate through the sections using the menu on the side. Please note that the data required for the examples and exercises is preloaded within each interactive document, so the commands/exercises only work within it. They won't work with the Rstudio console. When you come to apply what you have learned on your own datasets, you will need to ensure your data is loaded and edit the syntax to model the relevant variables.
6869

@@ -76,4 +77,4 @@ Contributions to this repository follow those set out by the wider Coding For Re
7677

7778
# Acknowledgements
7879

79-
This materials were developed by Eilis Hannon as part of the Coding For Reproducible Research Programme.
80+
This materials were developed by Eilis Hannon as part of the Coding For Reproducible Research Programme.

0 commit comments

Comments
 (0)