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workshops.html
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<ul>
<li><a href="#biodiversity-project-quarto-workshop" id="toc-biodiversity-project-quarto-workshop" class="nav-link active" data-scroll-target="#biodiversity-project-quarto-workshop">Bio/Diversity Project Quarto Workshop</a></li>
<li><a href="#r-ladies-tucson" id="toc-r-ladies-tucson" class="nav-link" data-scroll-target="#r-ladies-tucson">R-Ladies Tucson</a>
<ul class="collapse">
<li><a href="#reproducing-open-science-research" id="toc-reproducing-open-science-research" class="nav-link" data-scroll-target="#reproducing-open-science-research">Reproducing Open Science Research</a></li>
<li><a href="#reading-and-checking-data-in-r" id="toc-reading-and-checking-data-in-r" class="nav-link" data-scroll-target="#reading-and-checking-data-in-r">Reading and checking data in R</a></li>
<li><a href="#building-interactive-interfaces-for-textual-data-exploration" id="toc-building-interactive-interfaces-for-textual-data-exploration" class="nav-link" data-scroll-target="#building-interactive-interfaces-for-textual-data-exploration">Building Interactive Interfaces for Textual Data Exploration</a></li>
<li><a href="#twitter-data-mining-in-r" id="toc-twitter-data-mining-in-r" class="nav-link" data-scroll-target="#twitter-data-mining-in-r">Twitter Data Mining in R</a></li>
<li><a href="#organizando-um-projeto-de-análise-de-dados-com-rstudio" id="toc-organizando-um-projeto-de-análise-de-dados-com-rstudio" class="nav-link" data-scroll-target="#organizando-um-projeto-de-análise-de-dados-com-rstudio">Organizando um projeto de análise de dados com RStudio</a></li>
</ul></li>
<li><a href="#minicurso-at-predicar-2022" id="toc-minicurso-at-predicar-2022" class="nav-link" data-scroll-target="#minicurso-at-predicar-2022">Minicurso at PREDICAR 2022</a></li>
<li><a href="#hispanic-lusophone-linguistics-working-group" id="toc-hispanic-lusophone-linguistics-working-group" class="nav-link" data-scroll-target="#hispanic-lusophone-linguistics-working-group">Hispanic & Lusophone Linguistics Working Group</a></li>
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<li><a href="#corpus-searches-in-r" id="toc-corpus-searches-in-r" class="nav-link" data-scroll-target="#corpus-searches-in-r">Corpus Searches in R</a></li>
<li><a href="#quantitative-language-data-analysis-and-visualization-in-r" id="toc-quantitative-language-data-analysis-and-visualization-in-r" class="nav-link" data-scroll-target="#quantitative-language-data-analysis-and-visualization-in-r">Quantitative Language Data Analysis and Visualization in R</a></li>
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<li><a href="#lael-puc-sp-workshop" id="toc-lael-puc-sp-workshop" class="nav-link" data-scroll-target="#lael-puc-sp-workshop">LAEL PUC-SP Workshop</a></li>
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<h1 class="title">Workshops</h1>
</div>
<div class="quarto-title-meta">
</div>
</header>
<section id="biodiversity-project-quarto-workshop" class="level1">
<h1>Bio/Diversity Project Quarto Workshop</h1>
<p><a href="https://adrianapicoral.com/bio-diversity/">Materials</a></p>
<p>Two part workshop on building a quarto website for beginners.</p>
</section>
<section id="r-ladies-tucson" class="level1">
<h1>R-Ladies Tucson</h1>
<section id="reproducing-open-science-research" class="level2">
<h2 class="anchored" data-anchor-id="reproducing-open-science-research">Reproducing Open Science Research</h2>
<ul>
<li>September 1, 2023: <a href="https://adrianapicoral.com/rladies/2023-09-29.html">Reproducing Open Science Research 1</a></li>
<li>September 15, 2023: <a href="https://adrianapicoral.com/rladies/2023-09-15.html">Reproducing Open Science Research 2</a></li>
<li>October 6, 2023: <a href="https://adrianapicoral.com/rladies/2023-09-29.html">Reproducing Open Science Research 3</a></li>
</ul>
</section>
<section id="reading-and-checking-data-in-r" class="level2">
<h2 class="anchored" data-anchor-id="reading-and-checking-data-in-r">Reading and checking data in R</h2>
<p><a href="Reading and checking data in R">Materials</a></p>
<p>For this tutorial on how to read data in R, we will be using the data available as complementary material for Tagliamonte’s (2011) Variationist Sociolinguistics: Change, Observation, Interpretation textbook.</p>
</section>
<section id="building-interactive-interfaces-for-textual-data-exploration" class="level2">
<h2 class="anchored" data-anchor-id="building-interactive-interfaces-for-textual-data-exploration">Building Interactive Interfaces for Textual Data Exploration</h2>
<p><a href="https://picoral.github.io/r-ladies-athens-shiny-workshop/">Materials</a></p>
<p>In this workshop, we work with the Shiny R package (Chang et al., 2020) to build a web-based interface (a.k.a. dashboard) with interactive filtering options and a regular expression search field to dynamically explore textual data. This was an invited workshop at the R-Ladies Athens meetup.</p>
</section>
<section id="twitter-data-mining-in-r" class="level2">
<h2 class="anchored" data-anchor-id="twitter-data-mining-in-r">Twitter Data Mining in R</h2>
<p><a href="https://picoral.github.io/twitter_mining_sept_26_2020/twitter_mining.html">Materials</a></p>
<p>R-Ladies Tucson Workshop held on September 26, 2020. In this 2-hour workshop, we go over the steps to search tweets using the Twitter API, annotated them with Spacy, and doing some basic collocation analysis.</p>
</section>
<section id="organizando-um-projeto-de-análise-de-dados-com-rstudio" class="level2">
<h2 class="anchored" data-anchor-id="organizando-um-projeto-de-análise-de-dados-com-rstudio">Organizando um projeto de análise de dados com RStudio</h2>
<p><a href="https://picoral.github.io/organizando_projeto_analise_de_dados/">Materials</a></p>
<p>Esse material foi desenvolvido para o primeiro meetup (online) da R-Ladies de Ribeirão Preto (<span class="citation" data-cites="RLadiesRP">@RLadiesRP</span>).</p>
</section>
</section>
<section id="minicurso-at-predicar-2022" class="level1">
<h1>Minicurso at PREDICAR 2022</h1>
<p><a href="https://picoral.github.io/PREDICAR-2022">Analyzing intensifying constructions found in tweets in R: frequencies, collocations, and variation across groups</a></p>
<p>In this workshop we work with processed tweet data for the exploration of adjective intensification.</p>
</section>
<section id="hispanic-lusophone-linguistics-working-group" class="level1">
<h1>Hispanic & Lusophone Linguistics Working Group</h1>
<p><a href="https://picoral.github.io/cv-workshop-latex-overleaf/">Creating and formatting CVs on Overleaf (LaTeX)</a></p>
<p>In this workshop we select a CV LaTeX template and modify it on Overleaf. A brief overview of what LaTeX is and its syntax will be provided.</p>
</section>
<section id="crow-workshop-series" class="level1">
<h1>Crow Workshop Series</h1>
<section id="corpus-data-scraping-and-sentiment-analysis" class="level2">
<h2 class="anchored" data-anchor-id="corpus-data-scraping-and-sentiment-analysis">Corpus Data Scraping and Sentiment Analysis</h2>
<p><a href="https://picoral.github.io/crow_workshop_01/index.html">Materials</a></p>
<p>In this workshop, we scrape Amazon for reviews using the rvest R package to build a corpus of product reviews. We then do some sentiment analysis from a critical perspective.</p>
</section>
<section id="corpus-searches-in-r" class="level2">
<h2 class="anchored" data-anchor-id="corpus-searches-in-r">Corpus Searches in R</h2>
<p><a href="https://picoral.github.io/crow_workshop_02/index.html">Materials</a></p>
<p>In this workshop, we work with a tagged corpus. We go over the steps of reading in a corpus (organized as multiple text files) in R, doing searches in the corpus using regular expressions, and producing concordance lines.</p>
</section>
<section id="quantitative-language-data-analysis-and-visualization-in-r" class="level2">
<h2 class="anchored" data-anchor-id="quantitative-language-data-analysis-and-visualization-in-r">Quantitative Language Data Analysis and Visualization in R</h2>
<p><a href="https://picoral.github.io/crow-workshop-04/">Materials</a></p>
<p>In this workshop, we work with the Variable that data from Tagliamonte’s book “Variationist Sociolinguistics” (2012). We visualize means of that complementizer omission across speaker groups, and run both linear and logistic regression. Concepts such as correlation, interaction, and contrasts will be addressed.</p>
</section>
</section>
<section id="nau-corpus-club-calisto" class="level1">
<h1>NAU Corpus Club + CALISTO</h1>
<p><a href="https://picoral.github.io/corpus_of_tweets_workshop/">Building a corpus of tweets with R</a></p>
<p>This workshop material was prepared for a workshop on corpus linguistics and Twitter mining for the NAU Corpus Club and COLISTO.</p>
</section>
<section id="lael-puc-sp-workshop" class="level1">
<h1>LAEL PUC-SP Workshop</h1>
<p><a href="https://picoral.github.io/LAEL_bazaar_workshop/LAEL_ML_workshop.html">LAEL Machine Learning Workshop</a></p>
<p>This workshop was part of the LAEL Research Bazaar, a celebration of the golden jubilee of the Graduate Program in Applied Linguistics and Language Studies (LAEL), at the Pontifical Catholic University of São Paulo (PUCSP), Brazil.</p>
</section>
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return filterRegex.test(href) || localhostRegex.test(href) || mailtoRegex.test(href);
}
// Inspect non-navigation links and adorn them if external
var links = window.document.querySelectorAll('a[href]:not(.nav-link):not(.navbar-brand):not(.toc-action):not(.sidebar-link):not(.sidebar-item-toggle):not(.pagination-link):not(.no-external):not([aria-hidden]):not(.dropdown-item):not(.quarto-navigation-tool):not(.about-link)');
for (var i=0; i<links.length; i++) {
const link = links[i];
if (!isInternal(link.href)) {
// undo the damage that might have been done by quarto-nav.js in the case of
// links that we want to consider external
if (link.dataset.originalHref !== undefined) {
link.href = link.dataset.originalHref;
}
}
}
function tippyHover(el, contentFn, onTriggerFn, onUntriggerFn) {
const config = {
allowHTML: true,
maxWidth: 500,
delay: 100,
arrow: false,
appendTo: function(el) {
return el.parentElement;
},
interactive: true,
interactiveBorder: 10,
theme: 'quarto',
placement: 'bottom-start',
};
if (contentFn) {
config.content = contentFn;
}
if (onTriggerFn) {
config.onTrigger = onTriggerFn;
}
if (onUntriggerFn) {
config.onUntrigger = onUntriggerFn;
}
window.tippy(el, config);
}
const noterefs = window.document.querySelectorAll('a[role="doc-noteref"]');
for (var i=0; i<noterefs.length; i++) {
const ref = noterefs[i];
tippyHover(ref, function() {
// use id or data attribute instead here
let href = ref.getAttribute('data-footnote-href') || ref.getAttribute('href');
try { href = new URL(href).hash; } catch {}
const id = href.replace(/^#\/?/, "");
const note = window.document.getElementById(id);
if (note) {
return note.innerHTML;
} else {
return "";
}
});
}
const xrefs = window.document.querySelectorAll('a.quarto-xref');
const processXRef = (id, note) => {
// Strip column container classes
const stripColumnClz = (el) => {
el.classList.remove("page-full", "page-columns");
if (el.children) {
for (const child of el.children) {
stripColumnClz(child);
}
}
}
stripColumnClz(note)
if (id === null || id.startsWith('sec-')) {
// Special case sections, only their first couple elements
const container = document.createElement("div");
if (note.children && note.children.length > 2) {
container.appendChild(note.children[0].cloneNode(true));
for (let i = 1; i < note.children.length; i++) {
const child = note.children[i];
if (child.tagName === "P" && child.innerText === "") {
continue;
} else {
container.appendChild(child.cloneNode(true));
break;
}
}
if (window.Quarto?.typesetMath) {
window.Quarto.typesetMath(container);
}
return container.innerHTML
} else {
if (window.Quarto?.typesetMath) {
window.Quarto.typesetMath(note);
}
return note.innerHTML;
}
} else {
// Remove any anchor links if they are present
const anchorLink = note.querySelector('a.anchorjs-link');
if (anchorLink) {
anchorLink.remove();
}
if (window.Quarto?.typesetMath) {
window.Quarto.typesetMath(note);
}
if (note.classList.contains("callout")) {
return note.outerHTML;
} else {
return note.innerHTML;
}
}
}
for (var i=0; i<xrefs.length; i++) {
const xref = xrefs[i];
tippyHover(xref, undefined, function(instance) {
instance.disable();
let url = xref.getAttribute('href');
let hash = undefined;
if (url.startsWith('#')) {
hash = url;
} else {
try { hash = new URL(url).hash; } catch {}
}
if (hash) {
const id = hash.replace(/^#\/?/, "");
const note = window.document.getElementById(id);
if (note !== null) {
try {
const html = processXRef(id, note.cloneNode(true));
instance.setContent(html);
} finally {
instance.enable();
instance.show();
}
} else {
// See if we can fetch this
fetch(url.split('#')[0])
.then(res => res.text())
.then(html => {
const parser = new DOMParser();
const htmlDoc = parser.parseFromString(html, "text/html");
const note = htmlDoc.getElementById(id);
if (note !== null) {
const html = processXRef(id, note);
instance.setContent(html);
}
}).finally(() => {
instance.enable();
instance.show();
});
}
} else {
// See if we can fetch a full url (with no hash to target)
// This is a special case and we should probably do some content thinning / targeting
fetch(url)
.then(res => res.text())
.then(html => {
const parser = new DOMParser();
const htmlDoc = parser.parseFromString(html, "text/html");
const note = htmlDoc.querySelector('main.content');
if (note !== null) {
// This should only happen for chapter cross references
// (since there is no id in the URL)
// remove the first header
if (note.children.length > 0 && note.children[0].tagName === "HEADER") {
note.children[0].remove();
}
const html = processXRef(null, note);
instance.setContent(html);
}
}).finally(() => {
instance.enable();
instance.show();
});
}
}, function(instance) {
});
}
let selectedAnnoteEl;
const selectorForAnnotation = ( cell, annotation) => {
let cellAttr = 'data-code-cell="' + cell + '"';
let lineAttr = 'data-code-annotation="' + annotation + '"';
const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
return selector;
}
const selectCodeLines = (annoteEl) => {
const doc = window.document;
const targetCell = annoteEl.getAttribute("data-target-cell");
const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
const lines = annoteSpan.getAttribute("data-code-lines").split(",");
const lineIds = lines.map((line) => {
return targetCell + "-" + line;
})
let top = null;
let height = null;
let parent = null;
if (lineIds.length > 0) {
//compute the position of the single el (top and bottom and make a div)
const el = window.document.getElementById(lineIds[0]);
top = el.offsetTop;
height = el.offsetHeight;
parent = el.parentElement.parentElement;
if (lineIds.length > 1) {
const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
const bottom = lastEl.offsetTop + lastEl.offsetHeight;
height = bottom - top;
}
if (top !== null && height !== null && parent !== null) {
// cook up a div (if necessary) and position it
let div = window.document.getElementById("code-annotation-line-highlight");
if (div === null) {
div = window.document.createElement("div");
div.setAttribute("id", "code-annotation-line-highlight");
div.style.position = 'absolute';
parent.appendChild(div);
}
div.style.top = top - 2 + "px";
div.style.height = height + 4 + "px";
div.style.left = 0;
let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
if (gutterDiv === null) {
gutterDiv = window.document.createElement("div");
gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
gutterDiv.style.position = 'absolute';
const codeCell = window.document.getElementById(targetCell);
const gutter = codeCell.querySelector('.code-annotation-gutter');
gutter.appendChild(gutterDiv);
}
gutterDiv.style.top = top - 2 + "px";
gutterDiv.style.height = height + 4 + "px";
}
selectedAnnoteEl = annoteEl;
}
};
const unselectCodeLines = () => {
const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
elementsIds.forEach((elId) => {
const div = window.document.getElementById(elId);
if (div) {
div.remove();
}
});
selectedAnnoteEl = undefined;
};
// Handle positioning of the toggle
window.addEventListener(
"resize",
throttle(() => {
elRect = undefined;
if (selectedAnnoteEl) {
selectCodeLines(selectedAnnoteEl);
}
}, 10)
);
function throttle(fn, ms) {
let throttle = false;
let timer;
return (...args) => {
if(!throttle) { // first call gets through
fn.apply(this, args);
throttle = true;
} else { // all the others get throttled
if(timer) clearTimeout(timer); // cancel #2
timer = setTimeout(() => {
fn.apply(this, args);
timer = throttle = false;
}, ms);
}
};
}
// Attach click handler to the DT
const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
for (const annoteDlNode of annoteDls) {
annoteDlNode.addEventListener('click', (event) => {
const clickedEl = event.target;
if (clickedEl !== selectedAnnoteEl) {
unselectCodeLines();
const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
if (activeEl) {
activeEl.classList.remove('code-annotation-active');
}
selectCodeLines(clickedEl);
clickedEl.classList.add('code-annotation-active');
} else {
// Unselect the line
unselectCodeLines();
clickedEl.classList.remove('code-annotation-active');
}
});
}
const findCites = (el) => {
const parentEl = el.parentElement;
if (parentEl) {
const cites = parentEl.dataset.cites;
if (cites) {
return {
el,
cites: cites.split(' ')
};
} else {
return findCites(el.parentElement)
}
} else {
return undefined;
}
};
var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
for (var i=0; i<bibliorefs.length; i++) {
const ref = bibliorefs[i];
const citeInfo = findCites(ref);
if (citeInfo) {
tippyHover(citeInfo.el, function() {
var popup = window.document.createElement('div');
citeInfo.cites.forEach(function(cite) {
var citeDiv = window.document.createElement('div');
citeDiv.classList.add('hanging-indent');
citeDiv.classList.add('csl-entry');
var biblioDiv = window.document.getElementById('ref-' + cite);
if (biblioDiv) {
citeDiv.innerHTML = biblioDiv.innerHTML;
}
popup.appendChild(citeDiv);
});
return popup.innerHTML;
});
}
}
});
</script>
</div> <!-- /content -->
</body></html>