Comments (1)
Stubbled across this package hunting for statistics functions that operate over a slice of time.Duration
, and retains the time unit in the return value. Anyway, thought I'd share my thoughts on your question about the public API.
My take is that it is best to have one way to do it, rather than many (as in the infamous Perl language). I believe this is also the Go standard library philosophy. For example, if you look at the bytes
package, you will find a lot of functions that take a []byte
, but none of those functions have an equivalent method based implementation. Similarly, the methods that operate on a Buffer
object, are not repeated in the form of functions that take a Buffer
as argument.
My suggestion would be to drop support for method invoke, and keep the function call approach.
from stats.
Related Issues (20)
- Mode is not calculated correctly HOT 1
- Go module version 0.5.0
- T-Test HOT 1
- Hi, I was thinking of implementing z-test, should I add it as a pull request? HOT 1
- Hi, I was thinking of implementing a norm class (normal distribution probability density function, point percentile, etc. ), should I add it as a pull request? HOT 2
- Adding single-pass descriptive stats for large data sets HOT 1
- How to calculate the weighted percentile? HOT 2
- [Suggestion] Calculate Quartile from the instance of Float64Data HOT 4
- percentile is having issue HOT 3
- Question: Sampling from Normal distribution HOT 1
- Describe function HOT 3
- support string in LoadRawData() HOT 4
- Spearman Correlation?
- panic: sync: negative WaitGroup counter in dbscan.go HOT 4
- Trouble with trying to add Changelog and Documentation HOT 6
- Standard Deviation HOT 4
- Percentile Calculation Bug? HOT 4
- p-value in Fisher's Exact Test is different in output and print HOT 1
- CumulativeSum doesn't exist HOT 2
- AutoCorrelation bug.
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from stats.