---
title: "IDS theme for revealjs"
subtitle: "a demo"
author:
  - name: Marc Kupietz
  - name: John Doe
institute: "IDS Mannheim"
date: "`r paste0('Mannheim, ', Sys.Date())`"
output: 
  revealjs.ids::revealjs_presentation:
    reveal_plugins: 
      - search
      - zoom
      - notes
      - menu
    reveal_options:
      chalkboard:
        theme: chalkboard
        toggleNotesButton: true
      menu:
        numbers: true
lang: en
bibliography: references.bib
csl: "https://raw.githubusercontent.com/ICLC-10/Zotero/master/styles/ICLC-10.csl"
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE, message = FALSE, warning = FALSE)
library(idsThemeR)
library(RKorAPClient)
library(highcharter)
library(tidyverse)
source("https://gitlab.ids-mannheim.de/ICC/2023-07-20-ICC-ICLC10/-/raw/master/R/common.R")
```
# Introduction

## R Markdown

This is an R Markdown presentation. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown [@R-rmarkdown] see <http://rmarkdown.rstudio.com>.

When you click the **Knit** button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document.

## Slide with Bullets
### Subheading

- Bullet 1
- Bullet 2
  - Second-level bullet
  - Second-level bullet
    - Third-level bullet
    - Third-level bullet
- Bullet 3

<aside class="notes">
Here are some notes.
</aside>

# Methods

## Slide with R Output

```{r cars, echo = TRUE}
summary(cars)
```

## Slide with Plot

```{r pressure, fig.height=5, fig.width=12, message=F, warning=F}
plot(pressure)
```

# Results

## Registered Users
### for COSMAS II and KorAP

```{r registrations, message=F, warning=F}
registrierungen <-
  read_tsv("http://www.ids-mannheim.de/cosmas2/projekt/intstats/registrierungen.csv") %>%
  add_column(group = "registered users")

hc <- registrierungen %>%
  hchart("line", hcaes(x = date, y = registered, group = group)) %>%
  hc_add_theme(hc_theme_ids_light()) %>%
  hc_yAxis(title = list(text = "")) %>%
  hc_xAxis(title = list(text = "")) %>%
  hc_legend(element_blank()) %>%
  hc_size(height = 500, width = 1260)
hc
```


## Source Code
### Collocation Analysis

```R
  df <- collocationAnalysis(
    icc_con("eng"),
    "focus({[ud/l=take]} [ud/p=NOUN])",
    leftContextSize = 0,
    rightContextSize = 1,
    minOccur = 2,
    addExamples = T
  )
```
See [@kupietz_rkorapclient_2020]
See [@kupietz-deliko2026]

## Source Code
### Print Collocation Analysis as DataTable

```R
df %>%
 mutate(Collocate=sprintf('<a href="%s">%s</a>', webUIRequestUrl, collocate)) %>%
 mutate(example=str_replace(example, 
  ".*(\\W+\\w+\\W+\\w+\\W+<mark.*/mark>.*)", "\\1")) %>%
 mutate(example=str_replace(example, 
  "(.*<mark.*/mark>\\W+\\w+\\W+\\w+).*", "\\1")) %>%
 rowwise() %>%
 select(Collocate, Example, logDice, pmi, ll) %>%
 datatable(escape = F) %>%
 formatRound(columns=~logDice + pmi + ll, digits=2)
```
# References

## References