r-markdown

I wish to knit an html file from an R Notebook that contains paged tables with hyperlinks. Hyperlinks can be inserted using knitr::kable , but I can't find a way to generate a paged table with this function. Paged tables are the default notebook output, but I can't find a way of inserting functional hyperlinks . Many thanks for your help. --- title: "Paged notebook table with hyperlinks" output: html_notebook: code_folding: "hide" --- ```{r rows.print=3} wiki.url <- "https://en.wikipedia.org/wiki/" df1 <- data.frame(Month=month.name, URL=paste0("[", month.name, "](", wiki.url, month.name, ")")

The content looks fine except that there are "normal" sections without tabs. What I also tried: Use cat(paste0("### Number ", i, "{.tabset}\n")) instead of htmltools::h3(...) Look for a possible parameter tabset = TRUE in htmltools::h3 Minimal reproducible example: --- title: "Test" author: "SQC" date: "11 Juli 2019" output: html_document --- ```{r setup, include=FALSE} knitr::opts_chunk$set(echo = FALSE) library(leaflet) ranges <- paste0("section_", c(1:3)) ``` # Title level 1 ```{r, echo=FALSE, results='hide'} html <- list() for (i in 2:3) { html <- c(html, list(htmltools::h3(paste0("Number

I'm facing the issue that in R texreg() doesn't seem to break the lines in the notes below the table. Also the margins between the models are not extended equally like it's happening with htmlreg() which gives a clean result. Manual breaks like \n or HTML tags are not working with 'texreg'. There's a partly workaround from MichaelChirico , but one has to change the texreg() function but it seems the method doesn't respect the case when we're dealing with more than one model side by side. Here is the code I'm using: --- title: "Untitled" author: "jaySf" date: "13 Juni 2017" output: pdf_document

I am building a table with a mixture of numbers, text, and plots. I constructed my plots with ggplot, and added them to the table afterwards (please see code below). Because I will (eventually) have many plots, I need to use a loop to efficiently create them all. However, because ggplot seems to require printing to generate image links for each plot, I am unable to use invisible() , and subsequently get the pesky '[ 1 ] [[2]] [[3]]' output at the top of the image below. How can I compile the document without printing any visible output from ggplot? ```{r score_table, fig.show = "hide", echo =

As known in RMarkdown code chunks can be named like this: ```{r chunkname} plot(x,y) ``` Is it possible to showing chunkname in output document? You can use knitr::opts_current$get()$label example: ```{r cars} library(knitr) opts_current$get()$label plot(cars) ``` It will also work outside of a chunk, in an inline r code. It will then output the label of the last chunk. You can of course save the labels in a vector to use them later, for instance with a custom hook: ```{r knitr_setup} library(knitr) ll <- opts_current$get()$label knit_hooks$set(label_list = function(before, options, envir) {

I'm trying to embed a pdf document in a Rmarkdown document generated by KnitR using \includepdf . It works but included documents are very small: The reproducible example below: --- output: pdf_document header-includes: - \usepackage{pdfpages} --- ```{r, echo=FALSE} url = 'https://www.rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf' download.file(url, 'gg.pdf') ``` \includepdf[pages=-]{gg.pdf} Is there a way to resize the inserted document to its original size? I've found a possible solution but I don't know how to implement it in KnitR: https://tex.stackexchange.com/questions

I am runing some python chunks in a Rstudio notebook, which include reading a csv file and printing basic statistics. I could not find the way to print the statistics (describe()) as an output. Here is the code: ```{python, engine.path = '/home/user/anaconda3/bin/python3'} import pandas data_py = pandas.read_csv('/home/user/datafiles/data.csv', sep= ';') ``` ```{python, engine.path = '/home/user/anaconda3/bin/python3'} data_py.describe(include='all') ``` NO output printed. I also tried: ```{python, engine.path = '/home/user/anaconda3/bin/python3'} print(data_py.describe(include='all')) ``` and