Remarkable!
AWS indeed provides a totally new perspective how softwares work in the internet.
I was really shocked today.
You can run Rstudio through AWS with a help of this article. https://aws.amazon.com/ko/blogs/big-data/running-r-on-aws/
I updated some bash codes of latest version of Rstudio server and Shiny server according to the Rstudio website as shown below.
#!/bin/bash
#install R
yum install -y R
#install RStudio-Server
#https://www.rstudio.com/products/rstudio/download-server/
wget https://download2.rstudio.org/rstudio-server-rhel-1.0.136-x86_64.rpm
yum install -y --nogpgcheck rstudio-server-rhel-1.0.136-x86_64.rpm
#install shiny and shiny-server
#https://www.rstudio.com/products/shiny/download-server/
R -e "install.packages('shiny', repos='http://cran.rstudio.com/')"
wget https://download3.rstudio.org/centos5.9/x86_64/shiny-server-1.5.3.838-rh5-x86_64.rpm
yum install -y --nogpgcheck shiny-server-1.5.3.838-rh5-x86_64.rpm
#add user(s)
useradd your_username
echo your_username:your_password | chpasswd
Then I installed tidyverse and cowplot.
library(ggplot2)
library(dplyr)
library(cowplot)
Backbone <- ggplot(Theoph %>%
mutate(Subject = as.numeric(Subject)),
aes(Time, conc, group = Subject, colour = Wt)) +
geom_line() +
geom_point() +
scale_y_log10()
Individual <- Backbone + facet_wrap(~ Subject)
groupLinear <- Backbone + scale_y_continuous()
groupLog <- groupLinear + scale_y_log10()
ggdraw() +
draw_plot(Individual, 0, .5, 1, .5) +
draw_plot(groupLinear, 0, 0, .5, .5) +
draw_plot(groupLog, .5, 0, .5, .5) +
draw_plot_label(c("A", "B", "C"), c(0, 0, 0.5), c(1, 0.5, 0.5), size = 15)
Thanks.