silkentrance

import Vue from 'vue';
import Component from 'vue-class-component';

@Component({
  name : 'component'
})
export default class MyComponent extends Vue {

  beforeCreate() {

jcheng5

library(shiny)

# WARNING: This sketch does not make proper use of the "state" parameter.
# Doing so usually involves using cookies, which can be done with the
# Rook package but I have not done that here. If you choose to use this
# approach in production, please check the state parameter properly!

APP_URL <- if (interactive()) {
  # This might be useful for local development. If not, just hardcode APP_URL
  # to the deployed URL that you'll provide a few lines below.

PeterVermont

FutureProcessorWithShinyExample: An asynchronous task processor using the R Future library https://github.com/HenrikBengtsson/future

FutureProcessor.R is a self contained utility for dispatching and tracking future tasks and supports callbacks and extensive (optional) output. app.R is a Shiny app that uses FutureProcessor.R to show how to use it within Shiny.

kevinushey

// the column-wise implementation is just as fast as colMeans,
// but the row-wise operation is not quite as fast as rowMeans.

// can I do better?

#include <Rcpp.h>
using namespace Rcpp;

template <class T>
inline double do_mean( T& x ) {

mages

## The following example demonstrates
## how a serach and replace string task 
## can be peformed with R across several files

## Create two text files with content 
filenames <- c( tempfile(), tempfile() )
for( f in  filenames ){
 cat("We wish you a Merry Christmas!\n\nBest regards\n", file=f)
}