https://github.com/brentthorne/posterdown
https://github.com/rstudio/pagedown
https://github.com/GerkeLab/betterposter
library("shiny") | |
library("shinyjs") | |
ui <- shinyUI(pageWithSidebar( | |
titlePanel("", "3D Perspective Plot for Interaction Effects"), | |
sidebarPanel( | |
tabsetPanel( | |
tabPanel("Data", |
--- | |
title: "Untitled" | |
author: "Jeff W. Hollister" | |
date: "2/2/2016" | |
output: beamer_presentation | |
--- | |
```{r setup, include=FALSE} | |
knitr::opts_chunk$set(echo = FALSE) |
- https://mvuorre.github.io/r/ggplot2-visualizing-prior-posterior/ | |
- https://users.soe.ucsc.edu/~draper/beta-distributions-r.txt | |
- http://shinyapps.org/apps/RGraphCompendium/index.php#prior-and-posterior | |
- https://alexanderetz.com/2015/07/25/understanding-bayes-updating-priors-via-the-likelihood/ | |
- http://doingbayesiandataanalysis.blogspot.com.es/2015/10/posterior-predicted-distribution-for.html | |
- http://www.stat.cmu.edu/~hseltman/rube/rubeManual.pdf | |
- http://stackoverflow.com/questions/19476744/how-to-plot-bayesian-prior-and-posterior-distributions-in-one-panel-using-r |
### My favourite ggplot2 themes, always accessible ### | |
## just source this gist from any project ## | |
##################################################################################### | |
# Noam's default ggplot2 styling ##### | |
# Source: https://github.com/noamross/noamtools/blob/master/R/theme_nr.R | |
theme_nr <-theme(text=element_text(family="Helvetica", size=14), | |
panel.grid.major.x=element_blank(), |
Francisco Rodriguez-Sanchez
22 April 2016
Trying new RFc package to get climate data into R from FetchClimate service.
See all the available climate variables here.
library(rprojroot) | |
root <- find_rstudio_root_file() |
Example slide | |
============== | |
<font size = "5px"> | |
```{r echo = FALSE} | |
cleandata <- read.csv(file.path(root, "inst/extdata/coordsdata.csv")) | |
studies <- count(cleandata, ref, species, variable) | |
kable(studies) | |
``` |
A lot of important government documents are created and saved in Microsoft Word (*.docx). But Microsoft Word is a proprietary format, and it's not really useful for presenting documents on the web. So, I wanted to find a way to convert a .docx file into markdown.
On a mac you can use homebrew by running the command brew install pandoc
.