Version: 1.9.8
Platform: x86_64
First, install or update to the latest system software.
sudo apt-get update
sudo apt-get install build-essential chrpath libssl-dev libxft-dev
max_plots <- 5 | |
ui <- fluidPage( | |
headerPanel("Dynamic number of plots"), | |
sidebarPanel( | |
sliderInput("n", "Number of plots", value=1, min=1, max=5) | |
), |
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")) |
### An example of building a TensorFlow model from R using rPython ### | |
# For this script you need to | |
# 1. Have python 2.7 installed. | |
# 2. Install the rPython package in R. | |
# 3. Install Google's TensorFlow library as per these instructions: | |
# http://www.tensorflow.org/get_started/os_setup.md#binary_installation | |
### Here is how to setup and run a trivial TensorFlow model ### | |
# Load TensorFlow (I couldn't get this to work without setting sys.argv... ) |
Create a template service file at /etc/systemd/system/[email protected]
. The template parameter will correspond to the name
of target host:
[Unit]
Description=Setup a secure tunnel to %I
After=network.target
Shiny Shiny.shinyapp.$inputValues
acts like a store of state. I thought it would be fun to let vuejs
react to changes in Shiny
input values. This example is intentionally very simple to hopefully self-explain.
I have assembled vueR
package, like d3r
and reactR
, to offer helpers for vuejs
. For this example please install vueR
, or just add tags$script(src = "https://unpkg.com/[email protected]")
to the tagList()
.
devtools::install_github("timelyportfolio/vueR")`
vuejs
is beautiful and works extremely well with R
, since vuejs
does not require and all-in contract to use it. I have played quite a bit with R htmltools
and vuejs
, but until today, I have not explored Shiny
with vuejs
. This earlier gist R Shiny and Vue Simple Example offers a very simple illustration of how Shiny
and vuejs
can be best friends. Now, let's build from that example and get a TreeView
of a Shiny
plot brush.
library(shiny)
SELECT | |
*, | |
pg_size_pretty(table_bytes) AS table, | |
pg_size_pretty(index_bytes) AS index, | |
pg_size_pretty(total_bytes) AS total | |
FROM ( | |
SELECT | |
*, total_bytes - index_bytes - COALESCE(toast_bytes, 0) AS table_bytes | |
FROM ( | |
SELECT |