kNumTries <- 200; ## number of attempts to perform fitting
kParameterNamesLM <- c("e0", "s0", "CF_CAT", "TC_Initial_Slope");
kParameterUnitsLM <- c("nM", "uM", "nM * min / a.u.", "a.u. / min");
kParameterNamesLateMM <- c("e0", "s0", "CF_CAT", "CF_DTU", "K.m", "k.cat", "I",
"TC_Initial_Slope");
kParameterUnitsLateMM <- c("nM", "uM", "nM * min / a.u.",
"nM * min / a.u.", "nM", "nM / min",
"a.u. / nM", "a.u. / min");
kParameterNames <- c("Lagtime", "ETP", "Peak", "ttPeak", "VelIndex",
"Alpha2M_Level");
kAUnits <- c("min", "a.u.", "a.u. / min", "min", "a.u. / min * min",
"a.u. / min");
kUnits <- c("min", "nM * min", "nM", "min", "nM / min", "nM");
kYNone <- 3; ## cutoff for rat$y - below 3 signal is mostly noise
kXT0Gamma <- 1.6; ## cutoff for rat$x - below 1.6 is T0Gamma
kXT0GammaInt <- 2.5; ## cutoff for rat$x - above 2.5 is T0GammaInt
kYT0GammaInt <- 34; ## cutoff for rat$y - above 34 signal is T0GammaInt
kYlimMultDrv2 <- 1.5;
kSigmaLMRatio <- 10; ## TODO - check a lower value for it on QREN's dataset from 2015-08-04
kSigmaTargetRatio <- 0.95;
kSCRatio <- 1.7; ## SC (substrate consumption) ratio
kTimeSC <- 121; ## minutes - if measured longer check for SC
kMode <- "Speed";
kFitToDrv <- FALSE;
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