Awesome PHP has been relocated permanently to its own Github repository. No further updates will made to this gist.
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Sebastian Jeworutzki sjewo
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| # Author: Joona Lehtomäki <[email protected]> | |
| # Updated: 13.11.2011 | |
| # Version: 0.0.1 | |
| if (!require("rgdal")) { | |
| install.packages("rgdal") | |
| } | |
| if (!require("raster")) { | |
| install.packages("raster") |
ziadoz
/ awesome-php.md
Last active
May 8, 2025 07:37
Awesome PHP — A curated list of amazingly awesome PHP libraries, resources and shiny things.
Robsteranium
/ statistics-distributions.js
Created
May 11, 2012 20:20
— forked from benrasmusen/statistics-distributions.js
JavaScript library for calculating critical values and upper probabilities of common statistical distributions
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| /* | |
| * NAME | |
| * | |
| * statistics-distributions.js - JavaScript library for calculating | |
| * critical values and upper probabilities of common statistical | |
| * distributions | |
| * | |
| * SYNOPSIS | |
| * | |
| * |
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| import numpy as np | |
| # Author : Alexandre Gramfort | |
| # license : BSD | |
| def pav(y): | |
| """ | |
| PAV uses the pair adjacent violators method to produce a monotonic | |
| smoothing of y |
dsparks
/ pretty_network.R
Created
December 12, 2012 17:39
Graphing a subset of isDotR's Twitter ego net.
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| doInstall <- TRUE | |
| toInstall <- c("sna", "igraph") | |
| if(doInstall){install.packages(toInstall, repos = "http://cran.us.r-project.org")} | |
| lapply(toInstall, library, character.only = TRUE) | |
| adjacencyList <- read.csv("https://dl.dropbox.com/s/8wabcrtqxysp03u/Twitter_network.R.csv?dl=1") | |
| head(adjacencyList) | |
| adjacencyMatrix <- table(adjacencyList) | |
| as.matrix(sort(rowSums(adjacencyMatrix))) # Out-degree |
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| plot.nnet<-function(mod.in,nid=T,all.out=T,all.in=T,wts.only=F,rel.rsc=5,circle.cex=5,node.labs=T, | |
| line.stag=NULL,cex.val=1,alpha.val=1,circle.col='lightgrey',pos.col='black',neg.col='grey',...){ | |
| require(scales) | |
| #gets weights for neural network, output is list | |
| #if rescaled argument is true, weights are returned but rescaled based on abs value | |
| nnet.vals<-function(mod.in,nid,rel.rsc){ | |
| library(scales) |
mages
/ add.alpha.R
Last active
December 20, 2018 14:31
How to change the alpha value of colours in R
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| ## Add an alpha value to a colour | |
| add.alpha <- function(col, alpha=1){ | |
| if(missing(col)) | |
| stop("Please provide a vector of colours.") | |
| apply(sapply(col, col2rgb)/255, 2, | |
| function(x) | |
| rgb(x[1], x[2], x[3], alpha=alpha)) | |
| } |
mathematicalcoffee
/ autocaption_knitr.r
Created
April 23, 2013 07:12
Automatically set knitr's figure caption option to the title of the ggplot in the chunk. The gist has the R code you should put in your document, as well as an example Rmd with the compiled output.
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| # Include the following in a chunk up the top of your document | |
| # Then in your plot chunk, use 'fig.cap=cap()'. | |
| # Set the title of your ggplot via `labs(title="mytitle")`, and | |
| # it will automatically be substituted into the chunk options | |
| # as 'fig.cap' | |
| library(knitr) | |
| opts_knit$set(eval.after='fig.cap') | |
| cap <- function () { | |
| p <- last_plot() | |
| if (!is.null(p) && !is.null(p$labels$title)) { |
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| library(httr) | |
| library(digest) | |
| library(XML) | |
| s3_request <- function(verb, bucket, path = "/", query = NULL, | |
| content = NULL, date = NULL) { | |
| list( | |
| verb = verb, | |
| bucket = bucket, | |
| path = path, |
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