Sharpie

//myRunif.c 
#include <R.h>
#include <Rinternals.h>

SEXP myRunif( SEXP n, SEXP min, SEXP max ){

  SEXP statsPackage;
  PROTECT(
    statsPackage = eval( lang2( install("getNamespace"),
      ScalarString(mkChar("stats")) ),

paulmillr

Most active GitHub users (git.io/top)

The count of contributions (summary of Pull Requests, opened issues and commits) to public repos at GitHub.com from Wed, 21 Sep 2022 till Thu, 21 Sep 2023.

Only first 1000 GitHub users according to the count of followers are taken. This is because of limitations of GitHub search. Sorting algo in pseudocode:

githubUsers
 .filter(user => user.followers > 1000)

mheffner

Hacking a Twine

I got a Twine the other week because I was interested in tracking temperature and moisture readings from my house, particularly to know if something is flooding.

Once setup, the Twine sends periodic readings of its temperature sensor and any external probes (moisture sensor) to the Supermechanical site. I was disappointed to find that there isn't currently a way to access those periodic readings. You can set rules

cmrivers

Data sources:
CDC data on vaccine coverage: http://www.cdc.gov/flu/professionals/vaccination/reporti1112/reporti/index.htm
CDC data on current influenza situation:  http://gis.cdc.gov/grasp/fluview/fluportaldashboard.html 
Historical flu data: http://www.cdc.gov/flu/weekly/pastreports.htm
Locations of hospitals in Boston: https://data.cityofboston.gov/Public-Health/Hospital-Locations/46f7-2snz
NetLogo, a simple agent based model: http://ccl.northwestern.edu/netlogo/ 
Nemsis, emergency medical services API (haven't used this one myself): http://www.nemsis.org/v3/downloads/v3Archive.html 
Written for R, but useful for epi basics in any language: cran.r-project.org/doc/contrib/Epicalc_Book.pdf
"Provides access to health statistics and information on hospital inpatient and emergency department utilization": http://hcupnet.ahrq.gov/
Healthcare Research and Quality data directory: http://www.ahrq.gov/data/dataresources.htm

braintreeps

library(data.table);
library(maps);
library(maptools);
library(spatstat);
library(zipcode);
library(GISTools)
#load the zipcode dataset
data(zipcode);

hadley

.Rproj.user
.Rhistory
.RData
*.Rproj
*.html

jfreels

R + Shiny + d3js: Blank HTML UI template.

http://rstudio.github.io/shiny/tutorial/#html-ui

Everything but server.R belongs in 'www' directory.

|-- www |-- index.html |-- server.R

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

leeper

library('devtools')
library('utils')
library('httr')

update_github <-
function(ask = TRUE, ...){
  installed <- installed.packages()
  oldVersion <- installed[,'Version']
  urls <- sapply(names(oldVersion), function(x){
    d <- packageDescription(x)

LeCoupa

// XPath CheatSheet
// To test XPath in your Chrome Debugger: $x('/html/body')
// http://www.jittuu.com/2012/2/14/Testing-XPath-In-Chrome/


// 0. XPath Examples.
// More: http://xpath.alephzarro.com/content/cheatsheet.html


'//hr[@class="edge" and position()=1]'                // every first hr of 'edge' class