precisionMeasureWithCustomDF | R Documentation |

The following function computes a confidence interval with
custom degree of freedom. The default is to use N-1 but this number is not
always appropriate. For example, when there are heterogeneous variances,
the confidence interval of the mean should mirror a Welsh test where the
degrees of freedom are altered based on variances. The function `CIwithDF.mean()`

accept an arbitrary defined degree of freedom (df).
The df must be combined to the argument `gamma`

after the confidence level.

```
CIwithDF.mean(x, gamma = 0.95 )
```

`x` |
a vector of numbers, the sample data (mandatory); |

`gamma` |
a vector containing first a confidence level for CI (default 0.95) and
a custom degree of freedom (when unspecified, it uses |

See the vignette "Unequal variances, Welch test, Tryon adjustment, and superb" for an example of use.

the confidence interval (CI) where the `t`

value is based on the custom-set degree of freedom.

```
# this will issue a warning as no custom degree of freedom is provided
CIwithDF.mean( c(1,2,3), gamma = 0.90)
# the confidence interval of the mean for 90% confidence level
CIwithDF.mean( c(1,2,3), gamma = c(0.90, 1.5) ) # uses 1.5 as df instead of 2.
```

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