I am using R to analyse and document (knitr and latex) epidemiologic data which does not involve parsing a lot of text to extract my analysis data set. Data preparation for this type of research involves more combining…
Can you elaborate on data.table being 'a game changer'. I am inclined to agree, but I'm am just starting to get a handle on it. I am still hesitant and switching between sqldf, reshape2, base::merge and data.table more…
Correction: I should have said 'literate programming' instead of 'reproducible research', since I'm not in a position to follow all components of RR.
Do you think the love it/hate it dichotomy over R for data 'munging' stems from different ways of thinking about data. I'm slowly getting comfortable in R since returning to work in a sort of freelance arrangement that…
I am using R to analyse and document (knitr and latex) epidemiologic data which does not involve parsing a lot of text to extract my analysis data set. Data preparation for this type of research involves more combining…
Can you elaborate on data.table being 'a game changer'. I am inclined to agree, but I'm am just starting to get a handle on it. I am still hesitant and switching between sqldf, reshape2, base::merge and data.table more…
Correction: I should have said 'literate programming' instead of 'reproducible research', since I'm not in a position to follow all components of RR.
Do you think the love it/hate it dichotomy over R for data 'munging' stems from different ways of thinking about data. I'm slowly getting comfortable in R since returning to work in a sort of freelance arrangement that…