oganm

library(XLConnect)
library(magrittr)
library(dplyr)

# mouse rna seq data download Zeisel et al. download------
dir.create('data-raw/ZeiselMouse', showWarnings=FALSE)
download.file(url= 'http://storage.googleapis.com/linnarsson-lab-www-blobs/blobs/cortex/expression_mRNA_17-Aug-2014.txt', 
destfile='data-raw/ZeiselMouse/mouseRNASeq_Zeisel 2015.txt')
download.file(url = 'http://science.sciencemag.org/highwire/filestream/628248/field_highwire_adjunct_files/1/aaa1934_TableS1.xlsx',
              destfile = 'data-raw/ZeiselMouse/markerGenes.xlsx')

oganm

---
title: "Quicky and dirty: side-by-side plot and table"
author: "Omar AlOmeir"
output: 
  github_document
---

```{r}
library(ggplot2)
suppressMessages(library(dplyr))

oganm

require(RSelenium)
remDr <- remoteDriver(remoteServerAddr = "localhost", port = 4444, browserName = "firefox")
remDr$open()
remDr$getStatus()

remDr$navigate("https://upassbc.translink.ca/")

oganm

Hey

gibberish

<iframe id = "tableFrame" src="https://ogan.shinyapps.io/shinyTable/" style="overflow:hidden;height:100%;width:100%" height="100%" width="100%"></iframe>

oganm

#server.R
source('toTreeJSON.R')
library(shiny)
library(shinyTree)
library(magrittr)

createTree<- function(idTree){
    switch(idTree,
           "A" =   list(A1 = list(A2 = "a", A3 = "b"), A4 = "c"),
           "B" =   list(B1 = list(B2 = "d"), B3 = "e", B4 = "f"))}

oganm

In response to this tweet

@riannone @abresler @timelyportfolio this popped into my head last week, how hard would it be to dump an igraph or graphNEL into diagrammeR?

— Tim Triche, Jr. (@timtriche) February 24, 2015

<script async src="//platform.twitter.com/widgets.js" charset="utf-8"></script>

I made this little Gist. It illustrates one way to git an igraph into DiagrammeR using grViz. One way to use igraph with mermaid can be seen in this Gist R ( igraph + DiagrammeR + pipeR +htmltools ) + JS ( mermaid.js + d3.js + dagre-d3.js ).

Full attribute customization will probably not be possible with these two

oganm

// Browser fingerprinting is a technique to "mark" anonymous users using JS
// (or other things).  To build an "identity" of sorts the browser is queried
// for a list of its plugins, the screen size and several other things, then
// hashes them.  The idea is that these bits of information produce an unique
// "fingerprint" of sorts; the more elaborate the list of data points is, the
// more unique this fingerprint becomes.  And you wouldn't even need to set a
// cookie to recognize this user when she visits again.
//
// For more information on this topic consult
// [Ars Technica](http://arstechnica.com/tech-policy/news/2010/05/how-your-web-browser-rats-you-out-online.ars)

oganm

require(ggplot2)
require(stringr)

halo = read.table('Halo-Size.txt', header= T)
dry = read.table('Dry-Mass.txt', header =T)



# calculation of standard deviation
haloError = qnorm(0.975) * apply(halo, 2, sd)/sqrt(apply(halo, 2, length))