There are a lot of ranking algorithms for you to use and represent your data. Now, that doesn’t mean that the ranking algorithm is the most appropriate for your situation. It all depends on what you are trying to accomplish and who will be the audience of your final product. Some ranking algorithms could be too sophisticated to be actually understood by a layman’s type of person. The reasoning to develop this particular piece of work was to not only rank specific type of datasets but be able to explain how the ranking is performed for the layman’s type of person.
The inspiration for creating this node came from this site -> http://www.psychstat.missouristate.edu/introbook/sbk14.htm. Now that this node exists, it allows us to reuse it over and over. According to the author of the site, transforming raw scores into percentile ranking, will enable us to: 1) Give us meaning and interpret the scores and 2) Provide a direct comparison between scores.
Now, the challenge was trying to get rJava working on RHEL. I could not find any proper documentation that worked. Instead, I ran into a bunch of posts and pointing to things that worked in their environment, but not on mine (so, this might not work on yours as well, but I hope it does). I usually like to give credit to the sources, but this time, they were so many over a long time span, that I could not remember what came from where anymore. So, I apologize for that. Below are the things that I did to get rJava working.
$ sudo yum install gcc-c++ gcc-gfortran R R-core R-core-devel R-devel R-java R-java-devel java-1.7.0-openjdk-devel
$ sudo yum list install gcc*
Once, you have installed the necessary packages; then it is time to
I finally was able to find a guide that was able to allow me to setup Moodle on 1&1 Shared hosting environment. To me, the only thing that I followed was deactivating “slash arguments” from “http://yourserver/admin/settings.php?section=http” section. Once I did that, then my web HTML 1.0 site, got converted into a web HTML 3.0 (at least).