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Brodie Gaslam
An #rstats Blog, Mostly.
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Tag: dplyr
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Posts
Jan 04 2021
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R
20 min read
Rtini Part II: Vectorize the Absolute $#!+ Out of This
Implementing an internally vectorized version of the RTIN mesh-reduction algorithm for R.
Jan 04 2021
/
R
20 min read
Rtini Part II: Vectorize the Absolute $#!+ Out of This
Implementing an internally vectorized version of the RTIN mesh-reduction algorithm for R.
Aug 11 2020
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r
26 min read
On Quosures
Exploring Non-Standard Evaluation with rlang's Quosures.
Aug 11 2020
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r
26 min read
On Quosures
Exploring Non-Standard Evaluation with rlang's Quosures.
May 05 2020
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r
23 min read
Standard and Non-Standard Evaluation in R
An attempt at demystifying standard and non-standard evaluation models in R.
May 05 2020
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r
23 min read
Standard and Non-Standard Evaluation in R
An attempt at demystifying standard and non-standard evaluation models in R.
Jan 27 2020
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R
17 min read
RTINI Part I: Visualizing MARTINI
An illustrated examination of @mourner's MARTINI Javascript mesh reduction algorithm.
Jan 27 2020
/
R
17 min read
RTINI Part I: Visualizing MARTINI
An illustrated examination of @mourner's MARTINI Javascript mesh reduction algorithm.
Oct 30 2019
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r
9 min read
Visualizing Algorithms
How to record algorithms in action and use the resulting data to visualize them.
Oct 30 2019
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r
9 min read
Visualizing Algorithms
How to record algorithms in action and use the resulting data to visualize them.
Aug 22 2019
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r
19 min read
Hydra Chronicles Part V: Loose Ends
A few more tricks for fast group statistics in base R, and benchmarks against C implementations.
Aug 22 2019
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r
19 min read
Hydra Chronicles Part V: Loose Ends
A few more tricks for fast group statistics in base R, and benchmarks against C implementations.
Jul 24 2019
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r
13 min read
Hydra Chronicles, Part IV: Reformulation of Statistics
Making group statistics even faster by reformulation, and assessing the precision risks of doing so.
Jul 24 2019
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r
13 min read
Hydra Chronicles, Part IV: Reformulation of Statistics
Making group statistics even faster by reformulation, and assessing the precision risks of doing so.