adityawarmanfw

     WITH generate_date AS (
        SELECT CAST(RANGE AS DATE) AS date_key 
          FROM RANGE(DATE '2009-01-01', DATE '2013-12-31', INTERVAL 1 DAY)
          )
   SELECT date_key AS date_key,
          DAYOFYEAR(date_key) AS day_of_year, 
          YEARWEEK(date_key) AS week_key,
          WEEKOFYEAR(date_key) AS week_of_year,
          DAYOFWEEK(date_key) AS day_of_week,
          ISODOW(date_key) AS iso_day_of_week,

pachadotdev

# Install R
sudo apt-get update
sudo apt-get install gdebi libxml2-dev libssl-dev libcurl4-openssl-dev libopenblas-dev r-base r-base-dev

# Install RStudio
cd ~/Downloads
wget https://download1.rstudio.org/rstudio-xenial-1.1.383-amd64.deb
sudo gdebi rstudio-xenial-1.1.383-amd64.deb
printf '\nexport QT_STYLE_OVERRIDE=gtk\n' | sudo tee -a ~/.profile

timelyportfolio

Shiny == good & Vue == good | Shiny + Vue == good?

Shiny Shiny.shinyapp.$inputValues acts like a store of state. I thought it would be fun to let vuejs react to changes in Shiny input values. This example is intentionally very simple to hopefully self-explain.

vueR

I have assembled vueR package, like d3r and reactR, to offer helpers for vuejs. For this example please install vueR, or just add tags$script(src = "https://unpkg.com/vue@2.2.6") to the tagList().

devtools::install_github("timelyportfolio/vueR")`

yangxuan8282

set ssl_starttls=yes
set ssl_force_tls=yes

set imap_user = 'user_name@hotmail.com'
set imap_pass = 'password_here'
set from= $imap_user
set use_from=yes
set realname='Your_Name'
set folder = imaps://imap-mail.outlook.com:993
set spoolfile = "+INBOX"

thomasp85

library(tweenr) # Available on CRAN
library(ggforce) # Install from thomasp85/ggforce
library(gganimate) # Install from dgrtwo/gganimate
set.seed(2)
x <- sample(9,20, prob=c(1,2,3,4,5,4,3,2,1), replace=T)
df <- data.frame(x = x, y = 15)
dfs <- list(df)
for(i in seq_len(nrow(df))) {
    dftemp <- tail(dfs, 1)
    dftemp[[1]]$y[i] <- sum(dftemp[[1]]$x[seq_len(i)] == dftemp[[1]]$x[i])

JJ

Mini-HowTo submit RMarkdown articles to ArXiV

ArXiV is a place for publishing scientific technical reports and drafts which is tightly tied to LaTeX. That is why if you generate a PDF from your RMarkdown article it will tell you, hey, this has been generated using LaTeX, I want the LaTeX source. In principle, RStudio does not admit LaTeX as a final format, only .doc, .pdf or HTML. But it is no big deal.

You only need to add this to the metadata in the RMarkdown document

output: 
  pdf_document:
    keep_tex: true

trestletech

library(shiny)
library(dplyr)
library(lubridate)

# Load libraries and functions needed to create SQLite databases.
library(RSQLite)
library(RSQLite.extfuns)
saveSQLite <- function(data, name){
  path <- dplyr:::db_location(filename=paste0(name, ".sqlite"))

rxaviers

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue: