![]() RStudio has been with me since the very beginning of my professional career. healthcare - clinical programming along with Stata and Python (one suggestion: it would be nice to have R interface in Stata and improved R interface in Spotfire) 5 - in product development for creating data monitoring & evaluation apps in RShiny. pharma - benefit-risk analysis and data visualizations along with Spotfire 4. bioinformatics - producing descriptive statistics for the motility of Neurospora crassa (filamentous fungus) to prove that how one use statistics matters and how it impacts business decisions 3. bionanoengineering - descriptive statistics (describing biological motility or nano surfaces), in parallel with image analysis in ImageJ and MATLAB 2. RStudio as soon as it was available, also around 2010. I have used the R language since around 2010 and before (along with S-Plus).
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