jfsiii

border: no
height: 333
license: CC0-1.0

kenpenn

license: gpl-3.0
height: 600

jonocarroll

library(ggplot2)  ## devtools::install_github("hadley/ggplot2)
library(grid)     ## rasterGrob
library(EBImage)  ## readImage (alternatively: magick::image_read)
library(ggthemes) ## theme_minimal

## ##########
## INDEPENDENT CODE TO BE SOURCED:
## ##########
# user-level interface to the element grob

jonocarroll

#' Replace categorical x-axis labels with images
#'
#' Pipe a ggplot2 graph (with categorical x-axis) into this function with the argument of a list of 
#' pictures (e.g. loaded via readImage) and it builds a new grob with the x-axis categories 
#' now labelled by the images. Solves a problem that you perhaps shouldn't have.
#'
#' @author J. Carroll, \email{jono@@jcarroll.com.au}
#' @references \url{http://stackoverflow.com/questions/29939447/icons-as-x-axis-labels-in-r-ggplot2}
#' 
#' @param g     ggplot graph with categorical x axis

hrbrmstr

richarddmorey

############
# Option 1: Get all solutions
# using brute force
############

## This function creates every possible distribution of responses for
## a likert scale with nlev responses. This is total brute force. There's
## probably a better way.
## Argument:
## v : initially, the total number of responses

roblanf

source("http://bioconductor.org/biocLite.R")
biocLite("genomes")

library(genomes)
library(ggplot2)

valid <- c("released", "created", "submitted")

data(proks)
update(proks)

sdjacobs

Cities1	Birmingham	Boston	Buffalo	Chicago	Cleveland	Dallas	Denver	Detroit	El Paso	Houston	Indianapolis	Kansas City	Los Angeles	Louisville	Memphis	Miami	Minneapolis	New Orleans	New York	Omaha	Philadelphia	Phoenix	Pittsburgh	St. Louis	Salt Lake City	San Francisco	Seattle	Washington
Birmingham, Ala.	—	1194	947	657	734	653	1318	754	1278	692	492	703	2078	378	249	777	1067	347	983	907	894	1680	792	508	1805	2385	2612	751
Boston, Mass.	1194	—	457	983	639	1815	1991	702	2358	1886	940	1427	3036	996	1345	1539	1402	1541	213	1458	304	2664	597	1179	2425	3179	3043	440
Buffalo, N.Y.	947	457	—	536	192	1387	1561	252	1928	1532	510	997	2606	571	965	1445	955	1294	436	1011	383	2234	219	749	1978	2732	2596	386
Chicago, Ill.	657	983	536	—	344	931	1050	279	1439	1092	189	503	2112	305	546	1390	411	947	840	493	758	1729	457	293	1458	2212	2052	695
Cleveland, Ohio	734	639	192	344	—	1205	1369	175	1746	1358	318	815	2424	379	773	1325	763	1102	514	819	432	2052	131	567	1786	2540	2404	369
Dallas, Tex.	653	1815	1387	931	1205	—	801	1167	625	242	877	5

mbostock

license: gpl-3.0

skranz

# Helper functions that allow string arguments for  dplyr's data modification functions like arrange, select etc. 
# Author: Sebastian Kranz

# Examples are below

#' Modified version of dplyr's filter that uses string arguments
#' @export
s_filter = function(.data, ...) {
  eval.string.dplyr(.data,"filter", ...)
}