A very interesting post!
Performing statistical analyses by hand in the era of new technologies would seem crazy. Nowadays, there are three main statistical programs for doing statistics: IBM SPSS, SAS and R, as it can be read in a more extensive post of this site. Sometimes, biostatisticians need to use more than one package to carry out their analyses. This means that users of these programs have to move from one to another environment, from front-end to back-end, using different wizard and graphical interfaces, wasting in most occasions an important amount of time. Because of that, in this post I would like to address the differences between the aforementioned programs, pointing out the advantages and the most suitable usage of each software from my personal point of view.
For a good choice of a statistical program, one should take into account several issues such as the following:
1. Habit: It refers to how…
Ver la entrada original 576 palabras más
Tales of R 