diff --git a/_freeze/week1/index/execute-results/html.json b/_freeze/week1/index/execute-results/html.json index 764ea49..92c8bbc 100644 --- a/_freeze/week1/index/execute-results/html.json +++ b/_freeze/week1/index/execute-results/html.json @@ -1,8 +1,8 @@ { - "hash": "486fd0324fed9230f02264be00a98236", + "hash": "50a1864e133150d32d847f57b7a72554", "result": { "engine": "knitr", - "markdown": "---\ntitle: \"Week 1: What is forecasting?\"\n---\n\n::: {.cell}\n\n:::\n\n\n## What you will learn this week\n\n* How to think about forecasting from a statistical perspective\n* What makes something easy or hard to forecast?\n* Using the `tsibble` package in R\n\n## Pre-class activities\n\n* Install R and RStudio on your personal computer. Instructions are provided at [https://otexts.com/fpp3/appendix-using-r.html](https://otexts.com/fpp3/appendix-using-r.html).\n* Read [Chapter 1 of the textbook](http://OTexts.com/fpp3/intro.html) and watch all embedded videos\n* Watch this video\n\n\n\n## Exercises (on your own or in tutorial)\n\nYour task this week is to make sure you are familiar with R, RStudio and the tidyverse packages. If you've already done ETC1010, then you may not need to do anything! But if you're new to R and the tidyverse, then you will need to get yourself up-to-speed.\n\nWork through the first five chapters of the **LearnR** tutorial at [learnr.numbat.space](https://learnr.numbat.space). Do as much of it as you think you need. For those students new to R, it is strongly recommended that you do all five chapters. For those who have previously used R, concentrate on the parts where you feel you are weakest.\n\n\n## Slides for seminar\n\n\nDownload pdf\n\n## Seminar activities\n\n\n1. Download `tourism.xlsx` from [`http://robjhyndman.com/data/tourism.xlsx`](http://robjhyndman.com/data/tourism.xlsx), and read it into R using `read_excel()` from the `readxl` package.\n2. Create a tsibble which is identical to the `tourism` tsibble from the `tsibble` package.\n3. Find what combination of `Region` and `Purpose` had the maximum number of overnight trips on average.\n4. Create a new tsibble which combines the Purposes and Regions, and just has total trips by State.\n\nSolutions\n\n\n## Assignments\n\n* [Assignment 1](../assignments/A1.qmd) is due on Friday 08 March.\n", + "markdown": "---\ntitle: \"Week 1: What is forecasting?\"\n---\n\n::: {.cell}\n\n:::\n\n\n## What you will learn this week\n\n* How to think about forecasting from a statistical perspective\n* What makes something easy or hard to forecast?\n* Using the `tsibble` package in R\n\n## Pre-class activities\n\n* Install R and RStudio on your personal computer. Instructions are provided at [https://otexts.com/fpp3/appendix-using-r.html](https://otexts.com/fpp3/appendix-using-r.html).\n* Read [Chapter 1 of the textbook](http://OTexts.com/fpp3/intro.html) and watch all embedded videos\n* Watch this video\n\n\n\n## Exercises (on your own or in tutorial)\n\nYour task this week is to make sure you are familiar with R, RStudio and the tidyverse packages. If you've already done ETC1010, then you may not need to do anything! But if you're new to R and the tidyverse, then you will need to get yourself up-to-speed.\n\nWork through the first five chapters of the **LearnR** tutorial at [learnr.numbat.space](https://learnr.numbat.space). Do as much of it as you think you need. For those students new to R, it is strongly recommended that you do all five chapters. For those who have previously used R, concentrate on the parts where you feel you are weakest.\n\n[**Check your understanding quiz**](https://learning.monash.edu/mod/quiz/view.php?id=2292355)\n\n\n## Slides for seminar\n\n\nDownload pdf\n\n## Seminar activities\n\n\n1. Download `tourism.xlsx` from [`http://robjhyndman.com/data/tourism.xlsx`](http://robjhyndman.com/data/tourism.xlsx), and read it into R using `read_excel()` from the `readxl` package.\n2. Create a tsibble which is identical to the `tourism` tsibble from the `tsibble` package.\n3. Find what combination of `Region` and `Purpose` had the maximum number of overnight trips on average.\n4. Create a new tsibble which combines the Purposes and Regions, and just has total trips by State.\n\nSolutions\n\n\n## Assignments\n\n* [Assignment 1](../assignments/A1.qmd) is due on Friday 08 March.\n", "supporting": [], "filters": [ "rmarkdown/pagebreak.lua" diff --git a/_freeze/week10/slides/figure-beamer/traintest1-1.pdf b/_freeze/week10/slides/figure-beamer/traintest1-1.pdf index f4353d9..64233d5 100644 Binary files a/_freeze/week10/slides/figure-beamer/traintest1-1.pdf and b/_freeze/week10/slides/figure-beamer/traintest1-1.pdf differ diff --git a/_freeze/week10/slides/figure-beamer/traintest1a-1.pdf b/_freeze/week10/slides/figure-beamer/traintest1a-1.pdf index 652db23..2df0852 100644 Binary files a/_freeze/week10/slides/figure-beamer/traintest1a-1.pdf and b/_freeze/week10/slides/figure-beamer/traintest1a-1.pdf differ diff --git a/_freeze/week10/slides/figure-beamer/tscvggplot1-1.pdf b/_freeze/week10/slides/figure-beamer/tscvggplot1-1.pdf index f9dcc70..f42694b 100644 Binary files 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b/_freeze/week9/slides/figure-beamer/venn-1.pdf differ diff --git a/week1/index.qmd b/week1/index.qmd index b4ffcb5..6429b80 100644 --- a/week1/index.qmd +++ b/week1/index.qmd @@ -27,6 +27,8 @@ Your task this week is to make sure you are familiar with R, RStudio and the tid Work through the first five chapters of the **LearnR** tutorial at [learnr.numbat.space](https://learnr.numbat.space). Do as much of it as you think you need. For those students new to R, it is strongly recommended that you do all five chapters. For those who have previously used R, concentrate on the parts where you feel you are weakest. +[**Check your understanding quiz**](https://learning.monash.edu/mod/quiz/view.php?id=2292355) + ```{r} #| output: asis show_slides(week)