d16169322c90c7af3ce12a68047d7ec6 *DESCRIPTION
47490eb4de2da217a150e8fcc56c2a34 *NAMESPACE
360e3b3e8528ab9af6d654e4547adcf9 *R/ANOVA_DCt.r
c8462a70a1df76f7bbc0cab480f0ea64 *R/ANOVA_DDCt.r
6792ccbb8fb8de34f313412f903b257e *R/Means_DDCt.r
82c68c3f31b216cd9645b19d8200ca71 *R/REPEATED_DDCt.r
dee34e6b698b72e48cb4069eb6630bbc *R/TTEST_DDCt.r
c8bbf57167629729b79028542c721e6a *R/efficiency.r
5a19c4a9e3f04d2857b80b362b818e74 *R/globalVariables.r
50be6e06372be1d74bba4a291f883397 *R/meanTech.r
62a863dce020c6005305feb631006c41 *R/multiplot.r
96c1f9b7b9fa51b9ba090d413853d672 *R/package_data.r
4480b7e4b469e51384e86392dfe57d39 *R/plotOneFactor.r
9c6da55c7d180cbdb15ce61f29746f7a *R/plotThreeFactor.r
f3cac40014e69ab4e70b4692ed0d163c *R/plotTwoFactor.r
5f44fec95aeaba929015836238bf2fef *R/qpcrhlpr.r
590323ed4dec0c10d63f1d87066ac471 *build/vignette.rds
cde58715b3727448de80db5cb420b3b0 *data/Lee_etal2020qPCR.rda
c5a4c0508cdd5cd4b9e9afae91f48c0f *data/Taylor_etal2019.rda
5c20367693217db1c50059cc001d655e *data/data_1factor.rda
7246eb45180d4f5270cc0861a180de5f *data/data_2factor.rda
cfd22e2887e9d7e9c5c337b5f352d986 *data/data_2factorBlock.rda
6fffe4442a04da94db60bf07dfdd6ff4 *data/data_3factor.rda
2b61e837916f149eee5260a7689254aa *data/data_efficiency.rda
657fd04456dee797cd92290427f97018 *data/data_repeated_measure_1.rda
303c67546b85065ff37a773913f7f198 *data/data_repeated_measure_2.rda
f32db75dcaa27fe49935fa41e9ae2ced *data/data_ttest.rda
7a2bf7712ae93d6690adce06ec564dd3 *data/data_withTechRep.rda
66dce6cc9ed84d20657e4f41fd5aa377 *inst/CITATION
3a591de4074be5e83f526f6996a279a0 *inst/doc/vignette.R
de60c31c3a9f3b8c92504b49f14538a2 *inst/doc/vignette.Rmd
b91d4979a4148260af615730740f3061 *inst/doc/vignette.html
a549ba1776612e673ecd887b1cc533d8 *inst/extdata/Lee_etal2020qPCR.csv
fb34210ef0c348992683dc3ef7c4f5e6 *inst/extdata/Taylor_etal2019.csv
bb44055be50afa9b8e1a84b0f56caed4 *inst/extdata/data_1factor.csv
57f9c03fce9ab180406435caaee4ee84 *inst/extdata/data_2factor.csv
c02a06dea36e9e50159941d7d16d4e28 *inst/extdata/data_2factorBlock.csv
8e152fcc560c0a99316b3a6a99b3d160 *inst/extdata/data_3factor.csv
0952e72fdfc553bad3a7c5b2b146a037 *inst/extdata/data_efficiency.csv
b93b01c49fc6b1ba4de9a4e13bc46e59 *inst/extdata/data_repeated_measure_1.csv
e8012b5b87ba09af5c721b4af1058017 *inst/extdata/data_repeated_measure_2.csv
65ea92208503b0e5cf4c0a7938ec2804 *inst/extdata/data_ttest.csv
b57eccf986ef8e741de0440ecde011e3 *inst/extdata/data_withTechRep.csv
ed041e5fda0b0d6dadfb997c57a26431 *man/ANOVA_DCt.Rd
8258bbc1f621702eb7e24303324402b0 *man/ANOVA_DDCt.Rd
7d6288bbcd1e01fe171c91ea40110a2f *man/Lee_etal2020qPCR.Rd
9aaca1f30ef27a58862ea0d79432d1d4 *man/Means_DDCt.Rd
5a30ba29efc06bec5aff5a1aea66678e *man/REPEATED_DDCt.Rd
c0eb004a8acd2aae4340ba3c2152c466 *man/TTEST_DDCt.Rd
67cb6e0248ba7a2af7b4bd3cefa43844 *man/Taylor_etal2019.Rd
e0718724e8d87f393b6bfe45b2c64018 *man/data_1factor.Rd
592583ca4b2065091025775bd174ebc4 *man/data_2factor.Rd
e9b9bf6dbeb678fc407a769ab195f6fa *man/data_2factorBlock.Rd
05261d0e4e4fd60dc35ac7e797cc6a38 *man/data_3factor.Rd
8eb8a70529cf4f72793f0144b85421a1 *man/data_efficiency.Rd
ca9adb0885e2a82f12ba9c029ca27552 *man/data_repeated_measure_1.Rd
ba61c7f4df357162a33da9071c6350a2 *man/data_repeated_measure_2.Rd
9298b95ac298a39dd9e75e532a4e2b3c *man/data_ttest.Rd
3b8ea0fcf817fefb4a91a426c339d44f *man/data_withTechRep.Rd
1fab5238ac5b80a6e1b97da14a8ce5a5 *man/efficiency.Rd
e2c68a7a826e40fdbdff6ed8c1a905bc *man/globalVariables.Rd
feced09318ff615c1883173f1461c771 *man/meanTech.Rd
ba6d0f926b02f5016c1994e7a2d56bd0 *man/multiplot.Rd
9fc35441e95e7de863d3c82766598514 *man/plotOneFactor.Rd
20f2083d8e6e6cdefbb7853f6ab82189 *man/plotThreeFactor.Rd
65e3934c81ed0c54bba8a39b626b1ee9 *man/plotTwoFactor.Rd
de60c31c3a9f3b8c92504b49f14538a2 *vignettes/vignette.Rmd
