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Jitendra Narayan is now a friend with adyasharma- Jitendra Narayan posted to the wire
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- Jit 3564 days ago
RStudio v0.99.292 Preview — Release Notes
A preview release of RStudio v0.99.292 is now available for testing and feedback. Highlights include:
- Data viewer with support for large datasets, filtering, searching, and sorting.
- Complete overhaul of R code completion with many new features and capabilities.
- C/C++ editing mode: completion, code navigation, find usages, and automatic indentation.
- Source editor improvements including multiple cursors, tab re-ordering, and several new themes.
- Enhanced Vim mode with visual block selection, macros, marks, and subset of : commands.
- Updated UI rendering engine for improved overall responsiveness.
See v0.99.292 Release Notes for full details on all of the changes in this release.
More at http://www.rstudio.com/products/rstudio/download/preview/
- Jitendra Narayan posted to the wire
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- Shruti Paniwala voted on the poll Which math/statistics programming language/application do you most frequently use in bioinformatics?Comments
- Jitendra Narayan 3736 days ago
R is an exceptionally powerful language in manipulation and transformation of data, statistical analysis and graphics. It doesn have support for the wide array of statistical functionality. So in my opinion R is great if all you're doing is statistics. It's got a nice interactive interface and visualization tools.
R discussion http://bioinformaticsonline.com/discussion/view/119/which-are-the-best-statistical-programming-languages-to-study-for-a-bioinformaticianYou can also found several other material at http://bioinformaticsonline.com/groups/profile/93/r-and-bioconductor
- Rahul Nayak 3733 days ago
My vote goes to R (http://cran.at.r-project.org) environment is an easy to use and write programs and custom functions. The R programming syntax is extremely easy to learn, even for users with no previous programming experience.
- Martin Jones 3729 days ago
R has also quickly found a following because statisticians, engineers and scientists without computer programming skills find it easy to use. R is really important to the point that it’s hard to overvalue it and also allows statisticians to do very intricate and complicated analyses without knowing the blood and guts of computing systems. Therefore, my vote goes to R.
- Shruti Paniwala commented on the file Marine bioinformatician ;)
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- Rahul Nayak uploaded the file Marine bioinformatician ;)Comments
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- Rahul Nayak replied on the discussion topic Does anyone have Nanopore latest updates? in the group Next Generation Sequencing (NGS)
