mirror of https://github.com/eddelbuettel/binb
112 lines
2.2 KiB
Plaintext
112 lines
2.2 KiB
Plaintext
---
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title: Monash Beamer Class Demonstration
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author: Rob J Hyndman
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date: \today
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classoption: compress
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toc: true
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output: binb::monash
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---
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```{r setup, include=FALSE}
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knitr::opts_chunk$set(echo = FALSE, message=FALSE, warning=FALSE, cache=TRUE, dev.args=list(bg=grey(0.9), pointsize=11))
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```
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# Intro
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## Slide with bullets
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- Bullet 1
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- Bullet 2
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- Bullet 3
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Use `\alert` to \alert{highlight} some text
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### Some enumeration
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1. The first item
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1. Stuff
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1. Nonsense
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# Using R
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## Slide with R output
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```{r cars, echo = TRUE}
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summary(cars)
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```
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## Slide with graphics
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```{r pressure}
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plot(pressure)
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```
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## Slide with mathematics
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Quantile score for observation $y$. For $0<p<1$:
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\begin{block}{}
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\[
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S(y_t,q_t(p)) = \left\{
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\begin{array}{rl}
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p(y_t-q_t(p)) & \text{if $y_t \ge q_t(p)$}\\
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(1-p)(q_t(p)-y_t) & \text{if $y_t < q_t(p)$}
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\end{array}\right.
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\]
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\end{block}
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Average score over all percentiles gives the best distribution forecast:
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\[
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QS = \frac{1}{99T}\sum_{p=1}^{99}\sum_{t=1}^T S(q_t(p),y_t)
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\]
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# RMarkdown Examples
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## R Figure
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The following code generates the plot on the next slide (taken from
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`help(bxp)` and modified slightly):
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\small
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```{r pressureCode, eval=FALSE, echo=TRUE}
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library(stats)
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set.seed(753)
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bx.p <- boxplot(split(rt(100, 4),
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gl(5, 20)), plot=FALSE)
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bxp(bx.p, notch = FALSE, boxfill = "orange",
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frame = FALSE, outl = TRUE,
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main = "Example from help(bxp)")
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```
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## R Figure
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```{r pressureFig, echo=FALSE}
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library(stats)
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set.seed(753)
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bx.p <- boxplot(split(rt(100, 4),
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gl(5, 20)), plot=FALSE)
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bxp(bx.p, notch = FALSE, boxfill = "orange",
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frame = FALSE, outl = TRUE,
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main = "Example from help(bxp)")
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```
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## R Table
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A simple `knitr::kable` example:
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\small
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```{r kableEx, echo=TRUE}
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knitr::kable(mtcars[1:4, 1:7],
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caption="(Parts of) the mtcars dataset")
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```
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## Resources
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### For more information:
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- See the [RMarkdown repository](https://github.com/rstudio/rmarkdown) for more on RMarkdown
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- See the [binb repository](https://github.com/eddelbuettel/binb) for more on binb
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- See the [binb vignettes](https://github.com/eddelbuettel/binb/vignettes) for more examples.
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