CVp2CV | R Documentation |

Helper function to calculate CV(T) and CV(R) from a pooled CV(T/R) assuming a ratio of the intra-subject variances.

CVp2CV(CV, ratio = 1.5)

`CV` |
‘pooled’ CV of T and R (as ratio, not percent). |

`ratio` |
Ratio of the intra-subject variances |

In case of knowing only the CV(T/R) f.i. from an ordinary cross-over you can
calculate the components CV(T) and CV(R) assuming a ratio of the
intra-subject variances.

The formula the function is based on:

`log(1.0 + CV^2) = (sWT^2 + sWR^2)/2`

Insert `sWT^2 = ratio * sWR^2`

and solve for `sWR^2`

.

Returns a numeric vector of the CV values for Test and Reference if only
one ratio is given.

Returns a matrix with named columns `CVwT`

and `CVwR`

if ratio is given as vector.

D. Labes

CVp2CV(0.4, ratio=2) # gives # [1] 0.4677952 0.3225018

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