You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: .github/PULL_REQUEST_TEMPLATE.md
+1-1Lines changed: 1 addition & 1 deletion
Original file line number
Diff line number
Diff line change
@@ -2,6 +2,6 @@
2
2
3
3
We are excited about your pull request, but unfortunately we are not accepting pull requests against this repository, as all development happens on the [main project repository](https://github.com/stdlib-js/stdlib). We kindly request that you submit this pull request against the [respective directory](https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/variancech) of the main repository where we’ll review and provide feedback.
4
4
5
-
If this is your first stdlib contribution, be sure to read the [contributing guide](https://github.com/stdlib-js/stdlib/blob/develop/CONTRIBUTING.md) which provides guidelines and instructions for submitting contributions. You may also consult the [development guide](https://github.com/stdlib-js/stdlib/blob/develop/docs/development.md) for help on developing stdlib.
5
+
If this is your first stdlib contribution, be sure to read the [contributing guide](https://github.com/stdlib-js/stdlib/blob/develop/CONTRIBUTING.md) which provides guidelines and instructions for submitting contributions. You may also consult the [development guide](https://github.com/stdlib-js/stdlib/blob/develop/docs/contributing/development.md) for help on developing stdlib.
6
6
7
7
We look forward to receiving your contribution! :smiley:
Copy file name to clipboardExpand all lines: README.md
+4-4Lines changed: 4 additions & 4 deletions
Original file line number
Diff line number
Diff line change
@@ -216,7 +216,7 @@ var v = variancech.ndarray( N, 1, x, 2, 1 );
216
216
- If `N <= 0`, both functions return `NaN`.
217
217
- If `N - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment), both functions return `NaN`.
218
218
- The underlying algorithm is a specialized case of Neely's two-pass algorithm. As the variance is invariant with respect to changes in the location parameter, the underlying algorithm uses the first strided array element as a trial mean to shift subsequent data values and thus mitigate catastrophic cancellation. Accordingly, the algorithm's accuracy is best when data is **unordered** (i.e., the data is **not** sorted in either ascending or descending order such that the first value is an "extreme" value).
219
-
- Depending on the environment, the typed versions ([`dvariancech`][@stdlib/stats/base/dvariancech], [`svariancech`][@stdlib/stats/base/svariancech], etc.) are likely to be significantly more performant.
219
+
- Depending on the environment, the typed versions ([`dvariancech`][@stdlib/stats/strided/dvariancech], [`svariancech`][@stdlib/stats/base/svariancech], etc.) are likely to be significantly more performant.
220
220
221
221
</section>
222
222
@@ -274,7 +274,7 @@ console.log( v );
274
274
275
275
## See Also
276
276
277
-
- <spanclass="package-name">[`@stdlib/stats-base/dvariancech`][@stdlib/stats/base/dvariancech]</span><spanclass="delimiter">: </span><spanclass="description">calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
277
+
- <spanclass="package-name">[`@stdlib/stats-strided/dvariancech`][@stdlib/stats/strided/dvariancech]</span><spanclass="delimiter">: </span><spanclass="description">calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
278
278
- <spanclass="package-name">[`@stdlib/stats-base/nanvariancech`][@stdlib/stats/base/nanvariancech]</span><spanclass="delimiter">: </span><spanclass="description">calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.</span>
279
279
- <spanclass="package-name">[`@stdlib/stats-base/stdevch`][@stdlib/stats/base/stdevch]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
280
280
- <spanclass="package-name">[`@stdlib/stats-base/variance`][@stdlib/stats/base/variance]</span><spanclass="delimiter">: </span><spanclass="description">calculate the variance of a strided array.</span>
@@ -309,7 +309,7 @@ See [LICENSE][stdlib-license].
0 commit comments