Description Usage Arguments Value Author(s) Examples

View source: R/head2tailratio.R

`head2tailratio`

is a function to calculate the ratio of the head and the
tail of a quantitative PCR amplification curve. In this test, only the head
(first six cycles) and the tail (last six cycles) form the region of interest
(ROI).

1 | ```
head2tailratio(y, normalize = FALSE, slope_normalizer = FALSE, verbose = FALSE)
``` |

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

`normalize` |
is a logical parameter, which indicates if the amplification curve. |

`slope_normalizer` |
is a logical parameter, which indicates if the head2tailratio should be normalized to the slope of the ROI. |

`verbose` |
is a logical parameter, which indicates if all the values, parameters and coefficients of the analysis should be shown. |

gives a `numeric`

(S3 class, type of `double`

) as output for the head to tail ratio

Stefan Roediger, Michal Burdukiewcz

1 2 3 4 5 6 7 8 9 10 11 12 | ```
# calculate head to tail ratio on amplification curve data
library(qpcR)
res_head2tailratio <- sapply(2:ncol(competimer), function(i) {
head2tailratio(y=competimer[, i], normalize=TRUE, slope_normalizer=TRUE)
})
res_head2tailratio_cluster <- kmeans(res_head2tailratio, 3)$cluster
matplot(competimer[, 1], competimer[, -1], xlab="Cycle", ylab="RFU",
main="competimer data set", type="l", lty=1, col=res_head2tailratio_cluster, lwd=2)
``` |

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