{"id":5854,"date":"2017-04-30T07:27:42","date_gmt":"2017-04-30T12:27:42","guid":{"rendered":"https:\/\/rud.is\/b\/?p=5854"},"modified":"2018-03-07T17:18:36","modified_gmt":"2018-03-07T22:18:36","slug":"r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles","status":"publish","type":"post","link":"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/","title":{"rendered":"R\u2076 \u2014 Using pandoc from R + A Neat Package For Reading Subtitles"},"content":{"rendered":"

Once I realized that my planned, larger post would not come to fruition today I took the R\u2076 post (i.e. “minimal expository, keen focus”) route, prompted by a Twitter discussion with some R mates who needed to convert “lightly formatted” Microsoft Word (docx<\/code>) documents to markdown. Something like this:<\/p>\n

\"\"<\/p>\n

to:<\/p>\n

Does pandoc work?\r\n=================\r\n\r\nSimple document with **bold** and *italics*.<\/code><\/pre>\n
This is definitely a job that pandoc<\/code><\/a> can handle.<\/p>\n
pandoc<\/code> is a Haskell<\/a> (yes, Haskell) program created by John MacFarlane<\/a> and is an amazing tool for transcoding documents. And, if you’re a “modern” R\/RStudio user, you likely use it every day because it’s ultimately what powers rmarkdown<\/code> \/ knitr<\/code>.<\/p>\n
Yes, you read that correctly. Your beautiful PDF, Word and HTML R reports are powered by \u2014 and, would not be possible without \u2014 Haskell.<\/p>\n
Doing the aforementioned conversion from docx<\/code> to markdown is super-simple from R:<\/p>\n
rmarkdown::pandoc_convert("simple.docx", "markdown", output="simple.md")<\/code><\/pre>\n
Give the help on rmarkdown::pandoc_convert()<\/code> a read as well as the very thorough and helpful documentation over at pandoc.org<\/code><\/a> to see the power available at your command.<\/p>\n
Just One More Thing<\/h3>\n
This section \u2014 technically \u2014\u00a0violates the R\u2076 principle so you can stop reading if you’re a purist :-)<\/p>\n
There’s a neat, non-on-CRAN package by Fran\u00e7ois Keck called subtools<\/code> \u2014 https:\/\/github.com\/fkeck\/subtools<\/a> which can slice, dice and reformat digital content subtitles. There are multiple formats<\/a> for these subtitle files and it seems to be able to handle them all.<\/p>\n
There was a post (earlier in April) about Ranking the Negativity of Black Mirror Episodes<\/a>. That post is python and I’ve never had time to fully replicate it in R.<\/p>\n
Here’s a snippet (sans expository) that can get you started pulling in subtitles into R and tidytext<\/code>. I would have written scraper code but the various subtitle aggregation sites make that a task suited for something like my splashr<\/code><\/a> package and I just had no cycles to write the code. So, I grabbed the first season of “The Flash” and use the Bing sentiment lexicon from tidytext<\/code> to see how the season looked.<\/p>\n
The overall scoring for a given episode is naive and can definitely be improved upon.<\/p>\n
Definitely drop a link to anything you create in the comments!<\/p>\n
# devtools::install_github("fkeck\/subtools")\r\n\r\nlibrary(subtools)\r\nlibrary(tidytext)\r\nlibrary(hrbrthemes)\r\nlibrary(tidyverse)\r\n\r\ndata(stop_words)\r\n\r\nbing <- get_sentiments("bing")\r\nafinn <- get_sentiments("afinn")\r\n\r\nfils <- list.files("flash\/01", pattern = "srt$", full.names = TRUE)\r\n\r\npb <- progress_estimated(length(fils))\r\n\r\nmap_df(1:length(fils), ~{\r\n\r\n  pb$tick()$print()\r\n\r\n  read.subtitles(fils[.x]) %>%\r\n    sentencify() %>%\r\n    .$subtitles %>%\r\n    unnest_tokens(word, Text) %>%\r\n    anti_join(stop_words, by="word") %>%\r\n    inner_join(bing, by="word") %>%\r\n    inner_join(afinn, by="word") %>%\r\n    mutate(season = 1, ep = .x)\r\n\r\n}) %>% as_tibble() -> season_sentiments\r\n\r\n\r\ncount(season_sentiments, ep, sentiment) %>%\r\n  mutate(pct = n\/sum(n),\r\n         pct = ifelse(sentiment == "negative", -pct, pct)) -> bing_sent\r\n\r\nggplot() +\r\n  geom_ribbon(data = filter(bing_sent, sentiment=="positive"),\r\n              aes(ep, ymin=0, ymax=pct, fill=sentiment), alpha=3\/4) +\r\n  geom_ribbon(data = filter(bing_sent, sentiment=="negative"),\r\n              aes(ep, ymin=0, ymax=pct, fill=sentiment), alpha=3\/4) +\r\n  scale_x_continuous(expand=c(0,0.5), breaks=seq(1, 23, 2)) +\r\n  scale_y_continuous(expand=c(0,0), limits=c(-1,1),\r\n                     labels=c("100%\\nnegative", "50%", "0", "50%", "positive\\n100%")) +\r\n  labs(x="Season 1 Episode", y=NULL, title="The Flash \u2014 Season 1",\r\n       subtitle="Sentiment balance per episode") +\r\n  scale_fill_ipsum(name="Sentiment") +\r\n  guides(fill = guide_legend(reverse=TRUE)) +\r\n  theme_ipsum_rc(grid="Y") +\r\n  theme(axis.text.y=element_text(vjust=c(0, 0.5, 0.5, 0.5, 1)))<\/code><\/pre>\n
\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"
Once I realized that my planned, larger post would not come to fruition today I took the R\u2076 post (i.e. “minimal expository, keen focus”) route, prompted by a Twitter discussion with some R mates who needed to convert “lightly formatted” Microsoft Word (docx) documents to markdown. Something like this: to: This is definitely a job […]<\/p>\n","protected":false},"author":1,"featured_media":5866,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"activitypub_content_warning":"","activitypub_content_visibility":"","activitypub_max_image_attachments":3,"activitypub_interaction_policy_quote":"anyone","activitypub_status":"","footnotes":""},"categories":[91],"tags":[788,789,810,787],"class_list":["post-5854","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-r","tag-markdown","tag-pandoc","tag-post","tag-r6"],"yoast_head":"\nR\u2076 \u2014 Using pandoc from R + A Neat Package For Reading Subtitles - rud.is<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/rud.is\/b\/2017\/04\/30\/r\u2076-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R\u2076 \u2014 Using pandoc from R + A Neat Package For Reading Subtitles - rud.is\" \/>\n<meta property=\"og:description\" content=\"Once I realized that my planned, larger post would not come to fruition today I took the R\u2076 post (i.e. “minimal expository, keen focus”) route, prompted by a Twitter discussion with some R mates who needed to convert “lightly formatted” Microsoft Word (docx) documents to markdown. Something like this: to: This is definitely a job […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/rud.is\/b\/2017\/04\/30\/r\u2076-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/\" \/>\n<meta property=\"og:site_name\" content=\"rud.is\" \/>\n<meta property=\"article:published_time\" content=\"2017-04-30T12:27:42+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2018-03-07T22:18:36+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/flash.png?fit=1504%2C806&ssl=1\" \/>\n\t<meta property=\"og:image:width\" content=\"1504\" \/>\n\t<meta property=\"og:image:height\" content=\"806\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"hrbrmstr\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"hrbrmstr\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/\"},\"author\":{\"name\":\"hrbrmstr\",\"@id\":\"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886\"},\"headline\":\"R\u2076 \u2014 Using pandoc from R + A Neat Package For Reading Subtitles\",\"datePublished\":\"2017-04-30T12:27:42+00:00\",\"dateModified\":\"2018-03-07T22:18:36+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/\"},\"wordCount\":375,\"commentCount\":6,\"publisher\":{\"@id\":\"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886\"},\"image\":{\"@id\":\"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/flash.png?fit=1504%2C806&ssl=1\",\"keywords\":[\"markdown\",\"pandoc\",\"post\",\"r6\"],\"articleSection\":[\"R\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/\",\"url\":\"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/\",\"name\":\"R\u2076 \u2014 Using pandoc from R + A Neat Package For Reading Subtitles - rud.is\",\"isPartOf\":{\"@id\":\"https:\/\/rud.is\/b\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/flash.png?fit=1504%2C806&ssl=1\",\"datePublished\":\"2017-04-30T12:27:42+00:00\",\"dateModified\":\"2018-03-07T22:18:36+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#primaryimage\",\"url\":\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/flash.png?fit=1504%2C806&ssl=1\",\"contentUrl\":\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/flash.png?fit=1504%2C806&ssl=1\",\"width\":1504,\"height\":806},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/rud.is\/b\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"R\u2076 \u2014 Using pandoc from R + A Neat Package For Reading Subtitles\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/rud.is\/b\/#website\",\"url\":\"https:\/\/rud.is\/b\/\",\"name\":\"rud.is\",\"description\":\""In God we trust. All others must bring data"\",\"publisher\":{\"@id\":\"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/rud.is\/b\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":[\"Person\",\"Organization\"],\"@id\":\"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886\",\"name\":\"hrbrmstr\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2023\/10\/ukr-shield.png?fit=460%2C460&ssl=1\",\"url\":\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2023\/10\/ukr-shield.png?fit=460%2C460&ssl=1\",\"contentUrl\":\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2023\/10\/ukr-shield.png?fit=460%2C460&ssl=1\",\"width\":460,\"height\":460,\"caption\":\"hrbrmstr\"},\"logo\":{\"@id\":\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2023\/10\/ukr-shield.png?fit=460%2C460&ssl=1\"},\"description\":\"Don't look at me\u2026I do what he does \u2014 just slower. #rstats avuncular \u2022 ?Resistance Fighter \u2022 Cook \u2022 Christian \u2022 [Master] Chef des Donn\u00e9es de S\u00e9curit\u00e9 @ @rapid7\",\"sameAs\":[\"http:\/\/rud.is\"],\"url\":\"https:\/\/rud.is\/b\/author\/hrbrmstr\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"R\u2076 \u2014 Using pandoc from R + A Neat Package For Reading Subtitles - rud.is","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/rud.is\/b\/2017\/04\/30\/r\u2076-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/","og_locale":"en_US","og_type":"article","og_title":"R\u2076 \u2014 Using pandoc from R + A Neat Package For Reading Subtitles - rud.is","og_description":"Once I realized that my planned, larger post would not come to fruition today I took the R\u2076 post (i.e. “minimal expository, keen focus”) route, prompted by a Twitter discussion with some R mates who needed to convert “lightly formatted” Microsoft Word (docx) documents to markdown. Something like this: to: This is definitely a job […]","og_url":"https:\/\/rud.is\/b\/2017\/04\/30\/r\u2076-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/","og_site_name":"rud.is","article_published_time":"2017-04-30T12:27:42+00:00","article_modified_time":"2018-03-07T22:18:36+00:00","og_image":[{"width":1504,"height":806,"url":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/flash.png?fit=1504%2C806&ssl=1","type":"image\/png"}],"author":"hrbrmstr","twitter_card":"summary_large_image","twitter_misc":{"Written by":"hrbrmstr","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#article","isPartOf":{"@id":"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/"},"author":{"name":"hrbrmstr","@id":"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886"},"headline":"R\u2076 \u2014 Using pandoc from R + A Neat Package For Reading Subtitles","datePublished":"2017-04-30T12:27:42+00:00","dateModified":"2018-03-07T22:18:36+00:00","mainEntityOfPage":{"@id":"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/"},"wordCount":375,"commentCount":6,"publisher":{"@id":"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886"},"image":{"@id":"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#primaryimage"},"thumbnailUrl":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/flash.png?fit=1504%2C806&ssl=1","keywords":["markdown","pandoc","post","r6"],"articleSection":["R"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/","url":"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/","name":"R\u2076 \u2014 Using pandoc from R + A Neat Package For Reading Subtitles - rud.is","isPartOf":{"@id":"https:\/\/rud.is\/b\/#website"},"primaryImageOfPage":{"@id":"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#primaryimage"},"image":{"@id":"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#primaryimage"},"thumbnailUrl":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/flash.png?fit=1504%2C806&ssl=1","datePublished":"2017-04-30T12:27:42+00:00","dateModified":"2018-03-07T22:18:36+00:00","breadcrumb":{"@id":"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#primaryimage","url":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/flash.png?fit=1504%2C806&ssl=1","contentUrl":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/flash.png?fit=1504%2C806&ssl=1","width":1504,"height":806},{"@type":"BreadcrumbList","@id":"https:\/\/rud.is\/b\/2017\/04\/30\/r%e2%81%b6-using-pandoc-from-r-a-neat-package-for-reading-subtitles\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/rud.is\/b\/"},{"@type":"ListItem","position":2,"name":"R\u2076 \u2014 Using pandoc from R + A Neat Package For Reading Subtitles"}]},{"@type":"WebSite","@id":"https:\/\/rud.is\/b\/#website","url":"https:\/\/rud.is\/b\/","name":"rud.is","description":""In God we trust. All others must bring data"","publisher":{"@id":"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/rud.is\/b\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":["Person","Organization"],"@id":"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886","name":"hrbrmstr","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2023\/10\/ukr-shield.png?fit=460%2C460&ssl=1","url":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2023\/10\/ukr-shield.png?fit=460%2C460&ssl=1","contentUrl":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2023\/10\/ukr-shield.png?fit=460%2C460&ssl=1","width":460,"height":460,"caption":"hrbrmstr"},"logo":{"@id":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2023\/10\/ukr-shield.png?fit=460%2C460&ssl=1"},"description":"Don't look at me\u2026I do what he does \u2014 just slower. #rstats avuncular \u2022 ?Resistance Fighter \u2022 Cook \u2022 Christian \u2022 [Master] Chef des Donn\u00e9es de S\u00e9curit\u00e9 @ @rapid7","sameAs":["http:\/\/rud.is"],"url":"https:\/\/rud.is\/b\/author\/hrbrmstr\/"}]}},"jetpack_featured_media_url":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/flash.png?fit=1504%2C806&ssl=1","jetpack_shortlink":"https:\/\/wp.me\/p23idr-1wq","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":9579,"url":"https:\/\/rud.is\/b\/2018\/04\/12\/convert-epub-to-text-for-processing-in-r\/","url_meta":{"origin":5854,"position":0},"title":"Convert epub to Text for Processing in R","author":"hrbrmstr","date":"2018-04-12","format":false,"excerpt":"@RMHoge asked the following on Twitter: Hello #rstats hyve mind! Is there a package that reads epub into R? I can not find any, I now convert to text and parse the text but you sort of lose the structure of the text. Pinging @dataandme @hrbrmstr\u2014 Roel (@RMHoge) April 12,\u2026","rel":"","context":"In "R"","block_context":{"text":"R","link":"https:\/\/rud.is\/b\/category\/r\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":4867,"url":"https:\/\/rud.is\/b\/2017\/01\/10\/knit-directly-to-jupyter-notebooks-from-rstudio\/","url_meta":{"origin":5854,"position":1},"title":"Knit directly to jupyter notebooks from RStudio","author":"hrbrmstr","date":"2017-01-10","format":false,"excerpt":"Did you know that you can completely replace the \"knitting\" engine in R Markdown documents? Well, you can! Why would you want to do this? Well, in the case of this post, to commit the unpardonable sin of creating a clunky jupyter notebook from a pristine Rmd file. I'm definitely\u2026","rel":"","context":"In "Python"","block_context":{"text":"Python","link":"https:\/\/rud.is\/b\/category\/python-2\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":11812,"url":"https:\/\/rud.is\/b\/2019\/01\/24\/quick-hit-automating-production-graphics-uploads-in-r-markdown-documents-with-googledrive\/","url_meta":{"origin":5854,"position":2},"title":"Quick Hit: Automating Production Graphics Uploads in R Markdown Documents with googledrive","author":"hrbrmstr","date":"2019-01-24","format":false,"excerpt":"As someone who measures all kinds of things on the internet as part of his $DAYJOB, I can say with some authority that huge swaths of organizations are using cloud-services such as Google Apps, Dropbox and Office 365 as part of their business process workflows. For me, one regular component\u2026","rel":"","context":"In "R"","block_context":{"text":"R","link":"https:\/\/rud.is\/b\/category\/r\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":3914,"url":"https:\/\/rud.is\/b\/2016\/02\/04\/alternate-r-markdown-templates\/","url_meta":{"origin":5854,"position":3},"title":"Alternate R Markdown Templates","author":"hrbrmstr","date":"2016-02-04","format":false,"excerpt":"The `knitr`\/R markdown system is a great way to organize reports and analyses. However, the built-in ones (that come with RStudio\/the `rmarkdown` package) rely on Bootstrap and also use jQuery. There's nothing wrong with that, but the generated standalone HTML documents (which are a great way to distribute reports) don't\u2026","rel":"","context":"In "R"","block_context":{"text":"R","link":"https:\/\/rud.is\/b\/category\/r\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":12094,"url":"https:\/\/rud.is\/b\/2019\/03\/17\/handling-sharing-pcaps-like-a-boss-with-packettotal\/","url_meta":{"origin":5854,"position":4},"title":"Handling & Sharing PCAPs Like a Boss with PacketTotal","author":"hrbrmstr","date":"2019-03-17","format":false,"excerpt":"The fine folks over at @PacketTotal bequeathed an API token on me so I cranked out an R package for it to enable more dynamic investigations work (RStudio makes for an amazing incident responder investigations console given that you can script in multiple languages, code in C[++], and write documentation\u2026","rel":"","context":"In "Cybersecurity"","block_context":{"text":"Cybersecurity","link":"https:\/\/rud.is\/b\/category\/cybersecurity\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":4040,"url":"https:\/\/rud.is\/b\/2016\/03\/04\/capturing-wild-widgets-with-webshot\/","url_meta":{"origin":5854,"position":5},"title":"Capturing wild widgets with webshot","author":"hrbrmstr","date":"2016-03-04","format":false,"excerpt":"NOTE: you won't need to use this function if you use the [development version](https:\/\/github.com\/yihui\/knitr) of `knitr` Winston Chang released his [`webshot`](https:\/\/github.com\/wch\/webshot) package to CRAN this past week. The package wraps the immensely useful [`phantomjs`](http:\/\/phantomjs.org\/) utility and makes it dirt simple to capture whole or partial web pages in R. One\u2026","rel":"","context":"In "htmlwidgets"","block_context":{"text":"htmlwidgets","link":"https:\/\/rud.is\/b\/category\/htmlwidgets\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts\/5854","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/comments?post=5854"}],"version-history":[{"count":0,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts\/5854\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/media\/5866"}],"wp:attachment":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/media?parent=5854"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/categories?post=5854"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/tags?post=5854"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}