freqpcr_data_tables

Supplementary tables for the "freqpcr" paper.<br>Copyright:Masahiro Osakabe 2017 (Sheet 1)Masaaki Sudo 2021 (Sheet 2--)<br>Sheet 1: The RED-ΔΔCq dataset from Osakabe et al. (2017) Pesticide Biochemistry and Physiology 139 1--8. The quantitative PCR analysis was conducted to quantify the mixing ratios of the R (acaricide resistant) and S (susceptible) alleles of the two-spotted spider mite. As this experiment was the proof-of-concept of the RED-ΔΔCq method, the template DNA solutions were prepared as mixture of R and S at known ratios (the data column "FreqTrue"). PCR conditions and sample pre-treatment are described in Sudo and Osakabe (2021 bioRxiv).<br>Sheet 2Example of the data frame of the Cq values ready for the knownqpcr_unpaired() function of freqpcr package.<br>Sheet 3 and 4Example Cq data frame ready for the knownqpcr() function of the freqpcr package. Sheet 3 is "not recycled" i.e., allowing NAs. Sheet 4 is "recycled" and missing values are filled with the Cq of the (nearly) corresponding experimental conditions. Both are OK for running knownqpcr() function.<br>Please read the supplementary material 2 of the freqpcr paper, as well as the PDF help of the R package, to learn how to use the knownqpcr() or knownqpcr_unpaired() functions.<br>Sheet 5 and 6Summary table for the output data of Experiment 2 (numerical experiment for the confidence interval of the freqpcr package). See Sudo and Osakabe (2021 bioRxiv) for detail.