start new:
tmux
start new with session name:
tmux new -s myname
| --- | |
| title: "Visualizing the Clinton Email Network in R" | |
| author: "hrbrmstr" | |
| date: "`r Sys.Date()`" | |
| output: html_document | |
| --- | |
| ```{r include=FALSE} | |
| knitr::opts_chunk$set( | |
| collapse=TRUE, | |
| comment="#>", |
| # Tutorial and data based on the network visualization workshop published over https://rpubs.com/kateto/netviz | |
| #packages: | |
| library(igraph) | |
| library(RCurl) | |
| # get the data | |
| nodes <- read.csv("https://raw.githubusercontent.com/danielmarcelino/Datasets/master/Media-NODES.csv", header=T, as.is=T) | |
| ties <- read.csv("https://raw.githubusercontent.com/danielmarcelino/Datasets/master/Media-EDGES.csv", header=T, as.is=T) | |
| # Explore data: |
| require(MASS) | |
| require(ggplot2) | |
| require(scales) | |
| require(gridExtra) | |
| pca <- prcomp(iris[,-5], | |
| center = TRUE, | |
| scale. = TRUE) | |
| prop.pca = pca$sdev^2/sum(pca$sdev^2) |
| #!/bin/sh | |
| # Converts a mysqldump file into a Sqlite 3 compatible file. It also extracts the MySQL `KEY xxxxx` from the | |
| # CREATE block and create them in separate commands _after_ all the INSERTs. | |
| # Awk is choosen because it's fast and portable. You can use gawk, original awk or even the lightning fast mawk. | |
| # The mysqldump file is traversed only once. | |
| # Usage: $ ./mysql2sqlite mysqldump-opts db-name | sqlite3 database.sqlite | |
| # Example: $ ./mysql2sqlite --no-data -u root -pMySecretPassWord myDbase | sqlite3 database.sqlite |