Computes corrected QT using Bazett's, Fridericia's or Sagie's formula.

## Arguments

- qt
QT interval

A numeric vector is expected. It is expected that QT is measured in msec.

- rr
RR interval

A numeric vector is expected. It is expected that RR is measured in msec.

- method
Method used to QT correction

Permitted Values:

`"Bazett"`

,`"Fridericia"`

,`"Sagie"`

## Details

Depending on the chosen `method`

one of the following formulae is used.

*Bazett*: $$\frac{QT}{\sqrt{\frac{RR}{1000}}}$$

*Fridericia*: $$\frac{QT}{\sqrt[3]{\frac{RR}{1000}}}$$

*Sagie*: $$1000\left(\frac{QT}{1000} + 0.154\left(1 - \frac{RR}{1000}\right)\right)$$

Usually this computation function can not be used with `%>%`

.

## See also

BDS-Findings Functions that returns a vector:
`compute_bmi()`

,
`compute_bsa()`

,
`compute_framingham()`

,
`compute_map()`

,
`compute_qual_imputation_dec()`

,
`compute_qual_imputation()`

,
`compute_rr()`