Displaying 3 results from an estimated 3 matches for "weightedmean".
2015 Mar 05
3
Performance issue in stats:::weighted.mean.default method
Hi,
I'm using this mailing list for the first time and I hope this is the
right one. I don't think that the following is a bug but it can be a
performance issue.
By my opinion, there is no need to filter by [w != 0] in last sum of
weighted.mean.default method defined in
src/library/stats/R/weighted.mean.R. There is no need to do it because
you can always sum zero numbers and
2015 Jan 26
0
matrixStats 0.13.1 - Methods that Apply to Rows and Columns of a Matrix (and Vectors)
...es separately. Because of this, a great number of data-type
coercions are avoided, coercions that otherwise would consume precious
memory due to temporarily allocated copies, but also precious
processing time because the garbage collector later would have to
spend time cleaning up the mess. The new weightedMean() function,
which is many times faster than stats::weighted.mean(), is one of
several cases where this strategy is particular helpful.
Any type of feedback, including bug reports, is always appreciated!
Thanks,
Henrik
2015 Jan 26
0
matrixStats 0.13.1 - Methods that Apply to Rows and Columns of a Matrix (and Vectors)
...es separately. Because of this, a great number of data-type
coercions are avoided, coercions that otherwise would consume precious
memory due to temporarily allocated copies, but also precious
processing time because the garbage collector later would have to
spend time cleaning up the mess. The new weightedMean() function,
which is many times faster than stats::weighted.mean(), is one of
several cases where this strategy is particular helpful.
Any type of feedback, including bug reports, is always appreciated!
Thanks,
Henrik