Meeshquest Help
##XML Schema
##Submission:
- Right click on your project folder and select
Export
. - Select
JAR file
under the Java folder.
<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<style> | |
@import url(https://raw.github.com/jasondavies/d3-parsets/master/d3.parsets.css); | |
body { | |
font-family: sans-serif; | |
font-size: 16px; | |
width: 960px; | |
margin: 1em auto; |
# You will need to get your own API key by creating an account at api.blockspring.com | |
# install.packages(c("httr", "RJSONIO")) | |
library(httr) | |
library(RJSONIO) | |
mtcars_aaS <- function(api_key, mpg_min = "0", mpg_max = "10e6", | |
cyl_min = "0", cyl_max = "10e6", | |
disp_min = "0", disp_max = "10e6", | |
hp_min = "0", hp_max = "10e6", |
# mtcars as as service | |
# Create a JSON API for your data with GitHub + Blockspring | |
# This script will filter rows of mtcars based on API parameters | |
# import relevant libraries | |
suppressMessages(library(dplyr)) | |
suppressMessages(library(RJSONIO)) | |
# Get data from GitHub |
library(dplyr) | |
create_tbl_df <- function(...){ | |
tbl_df(as.data.frame(matrix(...))) | |
} | |
results <- create_tbl_df(nrow=5, ncol=2) |
##XML Schema
##Submission:
Export
.JAR file
under the Java folder.https://gist.github.com/kirstenfrank/218c36a1938055d0f4e4sample codebook.
It's very similar to a Statistical Analysis Plan, actually.
Setup, there is a dogwalking business. It wants to analyze its work.
Raw data is: name of dog, address of owner, time walked, date walked, size of dog (small, medium, or large), health of dog (well or sick) on that date and time, comments, and pay.
The business wants to assign ID# to the dogs, and codewords to the address to make this data anonymous. There isn't anything to do to the comments--since free text is all over the place.
However this is done in PuTTY
ssh schliepe@opensub00.umiacs.umd.edu
Type in your password, then when you're in try:
cd /nfshomes/kross/fletching
I hereby claim:
To claim this, I am signing this object:
setwd('~/Desktop/R/Inputs') | |
getYahooCsv <- function(startDate, endDate, ticker){ | |
string <- paste("http://ichart.finance.yahoo.com/table.csv?s=",ticker, | |
"&a=",startDate[1]-1,"&b=",startDate[2],"&c=",startDate[3], | |
"&d=",endDate[1]-1,"&e=",endDate[2],"&f=",endDate[3],"&g=d&ignore=.csv", | |
sep="") | |
return (read.csv(string)) | |
} |