Computer Tips - Programming, Cybersecurity and Tech Tutorials

I have installed shiny server on Ubuntu 14.04 LTS running under a VM. This post is a collection of commands that I had used for setup. Note that if you want to use shiny server on LAN then use Bridged Network Adapter. On VM you can access the shiny server via localhost:3838 and on remote machines, you can use IP-address:3838 to open it. You can host your shiny app in the /srv/shiny-server/ directory. You can go to /etc/shiny-server/shiny-server.conf to change default configurations like you can change port with listen <port number>; in server {} module. $ sudo sh -c 'echo "deb http://cran.rstudio.com/bin/linux/ubuntu trusty/" >> /etc/apt/sources.list' $ sudo gpg --keyserver keyserver.ubuntu.com --recv-key E084DAB9 $ sudo gpg -a --export E084DAB9 | sudo apt-key add - $ sudo apt-get update $ sudo apt-get -y install r-base $ sudo su - -c "R -e \"install.packages(c('shiny','shinyjs','shinydashboard','...

TEXT (.txt) This working script was tested on R 3.2.5 . Code is adapted from https://github.com/gimoya/theBioBucket-Archives/blob/master/R/txtmining_pdf.R . It reads a text file, processes it to remove unnecessary words and plots it. Code: library(tm) library(wordcloud) library(Rstem) filetxt <- "C:\\Users\\310211146\\Documents\\Other\\May_Report.txt" txt <- readLines(filetxt) txt <- tolower(txt) txt <- removeWords(txt, c("\\f", stopwords())) corpus <- Corpus(VectorSource(txt)) corpus <- tm_map(corpus, removePunctuation) tdm <- TermDocumentMatrix(corpus) m <- as.matrix(tdm) d <- data.frame(freq = sort(rowSums(m), decreasing = TRUE)) d$stem <- wordStem(row.names(d), language = "english") d$word <- row.names(d) d <- d[nchar(row.names(d)) < 20,] agg_freq <- aggregate(freq ~ stem, data = d, sum) agg_word <- aggregate(word ~ stem, data = d, function(x)   x[1]) d <- cbind(freq...

If you are new to R or wants to enhance your basic skills in R and wondering where to get started provided there is lots of free material available online then you have come to right place. I have presented 5 video tutorials that is more than enough to get you started with R and will push you in direction of excelling R. 1. What is R and How to install it? 2. What are data types and variables in R?