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## original idea & report by Henrik Bengtsson at | |
## https://stat.ethz.ch/pipermail/r-devel/2016-February/072388.html | |
## This script downloads the list of currently published R packages | |
## from CRAN and also looks at all the archived package versions to | |
## combine these into a list of all R packages ever published on | |
## CRAN with the date of first release. | |
## CRAN mirror to use | |
CRAN_page <- function(...) { |
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## Download some shapefiles | |
download.file( | |
'https://biogeo.ucdavis.edu/data/diva/adm/HUN_adm.zip', | |
'Hungary_shapefile.zip') | |
unzip('Hungary_shapefile.zip') | |
## Look around what we have | |
library(rgdal) | |
ogrInfo('.') |
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## Start with the official rocker image (lightweight Debian) | |
FROM rocker/r-base:latest | |
MAINTAINER Gergely Daroczi <gergely.daroczi@card.com> | |
## Install Java | |
RUN echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu trusty main" \ | |
| tee /etc/apt/sources.list.d/webupd8team-java.list \ | |
&& echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu trusty main" \ | |
| tee -a /etc/apt/sources.list.d/webupd8team-java.list \ |
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## load data | |
df <- read.csv('http://bit.ly/CEU-R-numbers') | |
## analyze the association between x and y | |
summary(df) | |
cor(df) | |
## .. | |
## visualize the association between x and y | |
plot(df) |
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library(googlesheets) | |
library(logger) | |
library(crayon) | |
suppressPackageStartupMessages(library(data.table)) | |
logpath <- '/tmp' | |
logpath <- getwd() | |
logfile <- file.path(logpath, paste0(as.integer(Sys.time()), '.log')) | |
log_appender(appender_file(logfile)) | |
log_threshold(TRACE) |
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## TODO R package | |
## TODO internation via yaml that also provides the list of languages for the UI | |
## TODO cli --ui hu --control en --number 1:20 ... | |
library(logger) | |
library(crayon) | |
library(reticulate) | |
num2words <- import('num2words') | |
## rich-iannone/UnidecodeR |
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#!/usr/bin/env r | |
library(miniCRAN) | |
library(data.table) | |
library(pander) | |
library(logger) | |
library(magrittr) | |
library(docopt) | |
## ############################################################################# |
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## intro slides: http://bit.ly/r-intro-slide | |
## basic operations | |
1 + 3 | |
3*2 | |
3^2 | |
## constants | |
pi | |
"pi" |
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--- | |
title: "Iris teszt elemzés" | |
author: "Gergely" | |
date: "`r Sys.time()`" | |
output: html_document | |
--- | |
Hello, markdown! Ez egy egyszerű szöveges dokumentum, | |
a szöveget a markdown jelölőnyelv segítségével tudunk formázni. |
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library(shiny) | |
library(rmarkdown) | |
shinyServer(function(input, output) { | |
output$html = reactive({ | |
t <- tempfile() | |
cat(input$markdown, file = t) |
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