How-to-install.md

+
+The scripts in this repository consist on a pure [R](https://www.r-project.org/) package,
+but it has several dependencies which can be install by the following
+instructions. 
+
+All the required packages should work on any platform and on linux based systems.
+The code has been tested in R v3.5.1 and in R v3.6.3
+
+Dependencies
+------------
+Here is a list of *all* dependencies to run the code. The code has been tested
+with the most recent version of the following packages:
+
+**Developing tools:**
+- devtools
+- pryr
+- config
+
+**Data processing tools**
+
+- stringdist
+- geosphere
+- jsonlite
+- lubridate
+- igraph
+
+**External R software**
+- imma
+
+Install dependencies with conda (all platforms)
+----------------------------------
+
+This is the recommended way to install all the dependencies. So when the code is ran,
+either in a laptop or cluster you don't have to re-install the R packages for a new session. 
+
+**Prerequisites**
+
+You should have a recent version of the [conda](https://docs.conda.io/en/latest/)
+package manager.
+
+You can get [conda](https://docs.conda.io/en/latest/) by installing 
+[miniconda](https://docs.conda.io/en/latest/miniconda.html), which is what we recommend
+here to keep track of your R environment.
+
+See the following blog post: 
+[using the R language with Anaconda,](https://docs.anaconda.com/anaconda/user-guide/tasks/using-r-language/) 
+for more information.
+
+**Conda environment**
+
+Once conda is installed on your system you can easily create a fix R environment
+to use in every run by:
+
+~~~
+conda create -n r_env r-essentials r-base
+~~~
+
+Then activate it: 
+~~~
+conda activate r_env
+~~~
+
+To install the code dependencies you must have activated your environment. You
+will know is activated once you see the name of the environment (e.g r_env)
+ in () at the beginning of your bash alias:
+
+~~~
+(r_env) [brecinos@jasmin-sci2 ~]$
+~~~
+
+To install dependencies simply do:
+
+~~~
+conda install -c conda-forge r-"package_name"
+~~~
+
+For example:
+~~~
+conda install -c conda-forge r-devtools
+~~~
+
+**IMMA toolbox**
+
+The IMMA data format is used for the disemmination of the icoads marine data.
+The package **imma** written also in R. 
+Provides function to read those files and to apply quality control to the data.
+
+Must be install manually by getting the .tar.gz file and running the following 
+script once your conda environment is activated:
+
+~~~
+conda install ./imma_0.0.1.tar.gz
+~~~ 
+
+**Install the repository itself**
+
+For this to work you'll need to have the [git](https://git-scm.com/) software installed on your
+system. Then, clone the latest repository version:
+
+~~~
+git clone git@git.noc.ac.uk:brecinosrivas/icoads-r-hostace.git
+~~~