drsimonj

library(dplyr)

d <- data_frame(x = seq_len(100))
d
#> # A tibble: 100 x 1
#>        x
#>    <int>
#>  1     1
#>  2     2
#>  3     3

Villanuevand

Título del Proyecto

Acá va un párrafo que describa lo que es el proyecto

Comenzando 🚀

Estas instrucciones te permitirán obtener una copia del proyecto en funcionamiento en tu máquina local para propósitos de desarrollo y pruebas.

Mira Deployment para conocer como desplegar el proyecto.

halhen

# data from http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/population-distribution-demography/geostat
# Originally seen at http://spatial.ly/2014/08/population-lines/

# So, this blew up on both Reddit and Twitter. Two bugs fixed (southern Spain was a mess,
# and some countries where missing -- measure twice, submit once, damnit), and two silly superflous lines removed after
# @hadleywickham pointed that out. Also, switched from geom_segment to geom_line.

# The result of the code below can be seen at http://imgur.com/ob8c8ph

library(tidyverse)

patternproject

robsalasco

leonawicz

#
# This Shiny web application demonstrates the use of custom image files
# in place of icons for value boxes in Shiny Dashboard by overriding two
# functions:
#
# 'icon' from the shiny package and 'valueBox' from the shinydashboard package.
#
# Each function adds minimal, specific additional handling of image files.
# Note: A custom css file must also be included so that value boxes can
# display the icons. For that reason, do not expect images in place of icons to

thomasp85

library(tweenr) # Available on CRAN
library(ggforce) # Install from thomasp85/ggforce
library(gganimate) # Install from dgrtwo/gganimate
set.seed(2)
x <- sample(9,20, prob=c(1,2,3,4,5,4,3,2,1), replace=T)
df <- data.frame(x = x, y = 15)
dfs <- list(df)
for(i in seq_len(nrow(df))) {
    dftemp <- tail(dfs, 1)
    dftemp[[1]]$y[i] <- sum(dftemp[[1]]$x[seq_len(i)] == dftemp[[1]]$x[i])

timelyportfolio

Nowhere near as spectacular as the Upshot/New York Times 3d yield curve by Amanda Cox and Gregor Aisch, but not bad at all for a couple of lines of R code with the plotly htmlwidget.

library(plotly)
library(dplyr)
library(tidyr)
library(purrr)
library(quantmod)
library(magrittr)

jcheng5

Using arbitrary Leaflet JS plugins with Leaflet for R

The Leaflet JS mapping library has lots of plugins available. The Leaflet package for R provides direct support for some, but far from all, of these plugins, by providing R functions for invoking the plugins.

If you as an R user find yourself wanting to use a Leaflet plugin that isn't directly supported in the R package, you can use the technique shown here to load the plugin yourself and invoke it using JS code.

slowkow

library(ggplot2)
library(FField)

# You'll have to play with repulsion, cex.x, and cex.y to get satisfactory results.
plot_text <- function(x, y, label, repulsion = 1, cex.x = 110, cex.y = 40) {
  dat <- data.frame(xpos = x, ypos = y, label = label)
  dat$label <- as.character(dat$label)
  
  # Use the FField package to repel the text labels away from each other.
  dat <- cbind(