---
title: "IDS theme for revealjs"
subtitle: "a demo"
author:
  - name: Marc Kupietz
  - name: John Doe
institute: "IDS Mannheim"
date: "`r paste0('Mannheim, ', Sys.Date())`"
website: "https://korap.ids-mannheim.de/gerrit/IDS-Mannheim/revealjs"
partner_logo: "logos/clarin-logo.svg"
funder_logo: "logos/text-plus-logo.svg"
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
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE, message = FALSE, warning = FALSE)
library(idsThemeR)
library(RKorAPClient)
library(highcharter)
library(tidyverse)
library(DT)
#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 = 1160)
hc
```


## Adjective Collocates
### of *Sockenpuppe* in the German Wikipedia Talk Corpus [@kupietz_wikipedia_talk_2026]

```{r ca, message=F, warning=F, escape=F}
library(RKorAPClient)
KorAPConnection("https://korap.ids-mannheim.de/instance/wiki", verbose=F) |>
    collocationAnalysis(
    "focus([spacy/u=ADJ] {[spacy/l=Sockenpuppe]})",
    leftContextSize = 1,
    rightContextSize = 0,
    cacheAs = "sockenpuppe_aca.rds"
) |>
mutate(collocate = sprintf("[%s](%s)", collocate, webUIRequestUrl),
       across(where(is.numeric), ~ round(.x, 2))) |>
select(collocate, logDice, pmi, ll) |>
head(8) 
```


## Complete Source Code
### of the previous slide's collocation analysis

```R
library(RKorAPClient)
KorAPConnection("https://korap.ids-mannheim.de/instance/wiki", verbose=F) |>
    collocationAnalysis(
    "focus([spacy/u=ADJ] {[spacy/l=Sockenpuppe]})",
    leftContextSize = 1,
    rightContextSize = 0,
    cacheAs = "sockenpuppe_aca.rds"
) |>
mutate(collocate = sprintf("[%s](%s)", collocate, webUIRequestUrl),
       across(where(is.numeric), ~ round(.x, 2))) |>
select(collocate, logDice, pmi, ll) |>
head(8)
```
<small>Using RKorAPClient [@kupietz_rkorapclient_2020;@kupietz_building_2022]</small>

## Adjective Collocates (DataTable)
### of *Sockenpuppe* in the German Wikipedia Talk Corpus [@kupietz_wikipedia_talk_2026]

```{r cadt, message=F, warning=F, escape=F}
library(RKorAPClient)
KorAPConnection("https://korap.ids-mannheim.de/instance/wiki", verbose=F) |>
    collocationAnalysis(
    "focus([spacy/u=ADJ] {[spacy/l=Sockenpuppe]})",
    leftContextSize = 1,
    rightContextSize = 0,
    cacheAs = "sockenpuppe_aca.rds"
) |>
head(8)  |>
mutate(Collocate=sprintf('<a href="%s">%s</a>', webUIRequestUrl, collocate)) |>
select(Collocate, logDice, pmi, ll) |>
datatable(escape=F) |> 
formatRound(columns=~logDice + pmi + ll, digits=2)
```
 
## Source Code
### Display Collocation Analysis Result as DataTable

```R
library(RKorAPClient)
KorAPConnection("https://korap.ids-mannheim.de/instance/wiki", verbose=F) |>
    collocationAnalysis(
    "focus([spacy/u=ADJ] {[spacy/l=Sockenpuppe]})",
    leftContextSize = 1,
    rightContextSize = 0,
    cacheAs = "sockenpuppe_aca.rds"
) |>
head(8)  |>
mutate(Collocate=sprintf('<a href="%s">%s</a>', webUIRequestUrl, collocate)) |>
select(Collocate, logDice, pmi, ll) |>
datatable(escape=F) |> 
formatRound(columns=~logDice + pmi + ll, digits=2)
```
# References

## References