Description Usage Arguments Details Value Author(s) Examples

`mblrr`

is a function to perform the Median based Local Robust Regression (mblrr)
from a quantitative PCR experiment. In detail, this function attempts to break the
amplification curve in two parts (head (~background) and tail (~plateau)).
Subsequent, a robust linear regression analysis (`lmrob`

) is
preformed individually on both parts. The rational behind this analysis is
that the slope and intercept of an amplification curve differ in the
background and plateau region.

1 |

`x` |
is the cycle numbers (x-axis). |

`y` |
is the cycle dependent fluorescence amplitude (y-axis). |

`sig.level` |
is the significance level for the correlation test. |

`normalize` |
is a logical parameter, which indicates if the amplification curve data should be normalized to the 99 percent quantile of the amplification curve. |

*mblrr_intercept_bg* is the intercept of the head region,
*mblrr_slope_bg* is the slope of the head region,
*mblrr_cor_bg* is the coefficient of correlation of the head region,
*mblrr_intercept_pt* is the intercept of the tail region,
*mblrr_intercept_pt* is the slope of the tail region,
*mblrr_cor_pt* is the coefficient of correlation of the tail region

gives a `numeric`

(S3 class, type of `double`

) as output
for the regressed regions

Stefan Roediger, Michal Burdukiewcz

1 2 3 4 |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.