Technical Report Published: 11 June 2007 Competing risk analysis using R: an easy guide for clinicians L Scrucca, A Santucci & F Aversa Bone Marrow Transplantation 40, 381–387 (2007) Cite this ...

For this reason, R is the best for deep statistical analysis using beautiful data visualizations and a few lines of code. R Vs. Golang Golang is an open-source project that Google launched in 2007.

We describe how to conduct a regression analysis for competing risks data. The use of an add-on package for the R statistical software is described, which allows for the estimation of the ...

However, not all 30 packages are directly visible to you by default. The nnet package is one such package. To bring a package into scope you can use the library function or the nearly equivalent ...

Without using xlim and ylim, R would guess at intelligent limit values. The mysterious looking xaxs="i" and yaxs="i" parameters instruct R to make the lower-left corner of the graph meet at (0, 0).

One base R way to do this is with the merge() function, using the basic syntax merge(df1, df2). The order of data frame 1 and data frame 2 doesn’t matter, but whichever one is first is ...