walkerke

library(tidycensus)
library(ggiraph)
library(tidyverse)
library(patchwork)

vt_income <- get_acs(
  geography = "county",
  variables = "B19013_001",
  state = "VT",
  year = 2019,

dmenne

---
title: "Markdown to HTML: Cross-references and captions for tables and figure"
output: 
  bookdown::html_document2
---


Update December 2022: `gt` and `rtables` (partially) have cross-references.  
And there is [`quarto`](https://quarto.org/docs/authoring/cross-references.html), not treated here, which has a much more elegant referencing syntax.

jennybc

library(tidyverse)
library(patchwork)

dat_wide <- tibble(
  x = 1:3,
  top = c(4.5, 4, 5.5),
  middle = c(4, 4.75, 5),
  bottom = c(3.5, 3.75, 4.5)
)

mine-cetinkaya-rundel

library(shiny)
library(rintrojs)

ui <- fluidPage(
  introjsUI(), # Must include UI
  
  titlePanel("Hello Shiny!"),
  sidebarLayout(
    sidebarPanel(
      sliderInput(inputId = "bins",

jbburant

## GOAL:
## re-create a figure similar to Fig. 2 in Wilson et al. (2018), 
## Nature 554: 183-188. Available from:
## https://www.nature.com/articles/nature25479#s1
##
## combines a boxplot (or violin) with the raw data, by splitting each
## category location in two (box on left, raw data on right)


# initial set-up ----------------------------------------------------------

Pakillo

Some ggplot tutorials available online:

• H. Wickham: Official ggplot2 documentation
• H. Wickham: ggplot2 book
• W. Chang: R graphics cookbook and Cookbook for R
• Z. Ross: Beautiful plotting in R: A ggplot2 cheatsheet
• D. Koffman: Introduction to ggplot2
• R. Saccilotto: Tutorial: ggplot2
• R. Hartman: How to format plots for publication using ggplot2
• G. Williams: Visualising data with ggplot2

robinkraft

# Compile/install GEOS. Taken from:
# http://grasswiki.osgeo.org/wiki/Compile_and_Install_Ubuntu#GEOS_2

cd /tmp
wget http://download.osgeo.org/geos/geos-3.4.2.tar.bz2
bunzip2 geos-3.4.2.tar.bz2
tar xvf  geos-3.4.2.tar

cd geos-3.4.2

jeromyanglim

This post examines the features of [R Markdown](http://www.rstudio.org/docs/authoring/using_markdown) 
using [knitr](http://yihui.name/knitr/) in Rstudio 0.96.
This combination of tools provides an exciting improvement in usability for 
[reproducible analysis](http://stats.stackexchange.com/a/15006/183).
Specifically, this post 
(1) discusses getting started with R Markdown and `knitr` in  Rstudio 0.96;
(2) provides a basic example of producing console output and plots using R Markdown;
(3) highlights several code chunk options such as caching and controlling how input and output is displayed;
(4) demonstrates use of standard Markdown notation as well as the extended features of formulas and tables; and 
(5) discusses the implications of R Markdown.

simonmichael

# INVOICE 20110706xx

------------------------------------- ---------------------------------
**To:**<br>                                               **From:**<br>
Client XX<br>                                                    me<br>
address<br>                                                 address<br>
<br>                                                               <br>
<br>                                                     Email: ...<br>
<br>                                                     Phone: ...<br>