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#198.47.104.134 m10.music.126.net
198.47.104.134 m3.music.126.net
123.58.180.105 m6.music.126.net
174.35.52.182 m9.music.126.net
174.35.25.7 m1.music.126.net
220.243.234.5 m4.music.126.net
174.35.24.139 m7.music.126.net
198.47.104.134 m2.music.126.net
123.58.180.106 m5.music.126.net
220.243.234.8 m8.music.126.net
if (!require("pacman")) install.packages("pacman")
pacman::p_load(dplyr, venneuler)
pacman::p_load_current_gh('trinker/textshape', 'thomasp85/ggforce')
x <- matrix(sample(0:4, 80, TRUE, c(.6, .1, .1, .1, .1)), ncol=4)
colnames(x) <- LETTERS[1:4]
@xiaolai
xiaolai / markdownhere.css
Created July 2, 2016 12:12
markdown-here-css
.markdown-here-wrapper {
font-size: 16px;
line-height: 1.8em;
letter-spacing: 0.1em;
}
pre, code {
font-size: 14px;
font-family: Roboto, 'Courier New', Consolas, Inconsolata, Courier, monospace;
@kevinelliott
kevinelliott / osx-10.11-setup.md
Last active April 10, 2022 15:47
Mac OS X 10.11 El Capitan Setup

Mac OS X 10.11 El Capitan

Custom recipe to get OS X 10.11 El Capitan running from scratch, setup applications and developer environment. This is very similar (and currently mostly the same) as my 10.10 Yosemite setup recipe (as found on this gist https://gist.github.com/kevinelliott/0726211d17020a6abc1f). Note that I expect this to change significantly as I install El Capitan several times.

I use this gist to keep track of the important software and steps required to have a functioning system after a semi-annual fresh install. On average, I reinstall each computer from scratch every 6 months, and I do not perform upgrades between distros.

This keeps the system performing at top speeds, clean of trojans, spyware, and ensures that I maintain good organizational practices for my content and backups. I highly recommend this.

You are encouraged to fork this and modify it to your heart's content to match your own needs.

@stephenturner
stephenturner / explore-correlations.r
Created August 27, 2012 22:06
Exploring correlations with R using cor.prob and chart.Correlation
## Correlation matrix with p-values. See http://goo.gl/nahmV for documentation of this function
cor.prob <- function (X, dfr = nrow(X) - 2) {
R <- cor(X, use="pairwise.complete.obs")
above <- row(R) < col(R)
r2 <- R[above]^2
Fstat <- r2 * dfr/(1 - r2)
R[above] <- 1 - pf(Fstat, 1, dfr)
R[row(R) == col(R)] <- NA
R
}