Function onewayTest

onewayTest(
    x: Sample | readonly Sample[],
    g?: readonly GroupLabel[] | OnewayTestOptions,
    options?: OnewayTestOptions,
): OnewayTestResult
Test that several normal samples have equal means, without (default) or with the assumption of equal variances. Equivalent to R's oneway.test().
Parameters
- x: Sample | readonly Sample[]
  An array of samples, or one sample with group labels g.
- Optionalg: readonly GroupLabel[] | OnewayTestOptions
  Group labels, parallel to x (or the options, when x is an array of samples).
  
  There is also a formula form, onewayTest("y ~ A + B", data, options) (next overload).
- Optionaloptions: OnewayTestOptions
Returns OnewayTestResult
Example
```
const r = onewayTest([[2.9, 3.0, 2.5, 2.6, 3.2], [3.8, 2.7, 4.0, 2.4], [2.8, 3.4, 3.7, 2.2, 2.0]]);
r.statistic; // 0.39190547838578593 (Welch)
r.parameter; // [2, 5.518701575163452]
r.pValue;    // 0.693185476837351
```
- Defined in htest/onewayTest.ts:66
onewayTest(
    formula: string,
    data: DataFrame,
    options?: OnewayTestOptions,
): OnewayTestResult
One-way analysis of means from a formula and a data frame. As R's oneway.test(formula, data): "y ~ A" has one group per level of A; with several factors, "y ~ A + B", the groups are the combinations of their levels present in the data (R's interaction(), the first factor varying fastest). Only the variables of the formula count: the rows where one of them is missing are dropped.
Parameters
- formula: string
  "y ~ A" or "y ~ A + B + ...".
- data: DataFrame
  The data frame: an object of columns (null or NaN for a missing value).
- Optionaloptions: OnewayTestOptions
  See OnewayTestOptions.
Returns OnewayTestResult
- Defined in htest/onewayTest.ts:81

Function onewayTest

Parameters

Returns OnewayTestResult

Example

Parameters

Returns OnewayTestResult

Settings