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library(shiny) | |
library(ggvis) | |
shinyApp( | |
ui =bootstrapPage( | |
actionButton("randomize", "Randomize"), | |
ggvisOutput("plot1"), | |
ggvisOutput("plot2"), | |
verbatimTextOutput("summary") | |
), |
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--- | |
title: "Hands-on with dplyr" | |
author: "Dmitry Grapov" | |
output: | |
html_document: | |
keep_md: yes | |
--- | |
## Introduction |
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sourceName sourceKEGG sourceCID targetName targetKEGG targetCID indirect | |
arachidonic_acid C00219 444899 TXB2 C05963 5283137 y | |
arachidonic_acid C00219 444899 PGE2 C00584 5280360 y | |
arachidonic_acid C00219 444899 LTB4 C02165 5280492 y | |
linoleic_acid C01595 5280450 9,10,13-TriHOME C14835 5282965 y | |
linoleic_acid C01595 5280450 9,12,13-TriHOME C14833 9858729 y | |
linoleic_acid C01595 5280450 EKODE 5283007 y | |
arachidonic_acid C00219 444899 11(12)-EpETrE 53480479 n | |
arachidonic_acid C00219 444899 11-HETE C14780 5283168 n | |
arachidonic_acid C00219 444899 12-HETE C14777 5283155 n |
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Name KEGG id | |
Carnitine C00318 | |
catechin C06562 | |
threonine C00188 | |
threonic acid C01620 | |
phenylethylamine C05332 | |
phenylalanine C00079 | |
N-acetyl-L-ornithine C00437 | |
mannitol C00392 | |
glutathione C00051 |
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#------------------------------------------------------ | |
# demonstration of making edge lists for | |
# correlation network analysis | |
# by Dmitry Grapov | |
# 031814 | |
#------------------------------------------------------ | |
# load devium library for all functions | |
source("http://pastebin.com/raw.php?i=JVyTrYRD") # sources function to download github repo (https://github.com/dgrapov/devium) |
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#demonstration of data summary tools | |
#enable necessary functions | |
source("http://pastebin.com/raw.php?i=JVyTrYRD") | |
#get demo data | |
library(RCurl) | |
url<-getURL("https://docs.google.com/spreadsheet/pub?key=0Ap1AEMfo-fh9dGFHRk81cVJaMTIxUjQzSlo2RS1RZXc&single=true&gid=0&output=csv",ssl.verifypeer = FALSE) | |
tmp.data<-read.csv(textConnection(url)) | |
#Prepare to generate data summaries and conduct statitcal tests |
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shinyServer(function(input,output){ | |
mydat <- reactive(function() { | |
scale(rsnorm(input$obs, location = input$mean, scale =input$variance, | |
shape = input$skew),center=TRUE,scale=TRUE) | |
}) | |
ndat <- reactive(function() { | |
scale(rnorm(input$obs, mean = input$mean, sd =input$variance),center=TRUE, scale=TRUE) | |
}) | |
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# Script to demonstrate distributions | |
library(VGAM) | |
library(eeptools) | |
library(shiny) | |
library(ggplot2) | |
shinyServer(function(input,output){ |
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shinyServer(function(input, output, session) { | |
inputTextarea <- function(inputId, value="", nrows, ncols) { | |
tagList( | |
singleton(tags$head(tags$script(src = "textarea.js"))), | |
tags$textarea(id = inputId, | |
class = "inputtextarea", | |
rows = nrows, | |
cols = ncols, | |
as.character(value)) | |
) |
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#Check pubmed article titles for a given year for a keyword (using partial matching). | |
library(XML) | |
library(stringr) | |
#get PubMed Ids for all journals for a given year | |
getPubMedIds<-function(year=2013, max=100){ | |
#max = maximum results to return | |
url<-paste0("http://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=",year,"[PDAT]&RetMax=",max) |