Let’s start coding!! Below I am sharing some cool R packages that I am using constantly for data analysis as well as some R tips and tricks !!
Downloading Data One of the most important lesson in R is filtering and cleaning up you data, in order to generate an easy to read and to handle dataset.
Learn how to convert an HTML document to R Markdown in a few steps on OS X. In case you want to be more interactive with an html document that you downloaded online and you want e.
Downloading Data For this session we are going to utilize the dataset from the https://encode.project.org/. You can download the txt file here: Download txt file Install Packages and Loading Libraries First step is to install packages either from CRAN, Bioconductor or from Github and to load the libraries.
Downloading Data For this session we are going to utilise the dataset from the https://encode.project.org/. You can download the txt file here: Download txt file Install Packages and Loading Libraries First step is to install packages either from CRAN, Bioconductor or from Github and to load the libraries.
In publications, tables are extremely important to compare individual values, while plots are for showing traces or patterns. The gt package, can generate quality tables in R. Here I am going to show you a single line of code in order to produce a table.