usControlUstarEst.Rd
Default list of parameters for determining UStar of a single binned series
usControlUstarEst(ustPlateauFwd = 10, ustPlateauBack = 6,
plateauCrit = 0.95, corrCheck = 0.5,
firstUStarMeanCheck = 0.2, isOmitNoThresholdBins = TRUE,
isUsingCPTSeveralT = FALSE, isUsingCPT = FALSE,
minValidUStarTempClassesProp = 0.2, minValidBootProp = 0.4,
minNuStarPlateau = 3L)
number of subsequent uStar bin values to compare to in fwd mode
number of subsequent uStar bin values to compare to in back mode
significant differences between a uStar value and the mean of a "plateau"
threshold value for correlation between Tair and u * data
if first uStar bin average of a class is already larger than this value, the temperature class is skipped.
if TRUE, bins where no threshold was found are ignored. Set to FALSE to report highest uStar bin for these cases
set to TRUE to use change point detection without binning uStar but with additionally changed aggregation scheme for several temperature classifications
set to TRUE to use change point detection without binning uStar before in usual aggregation method (good for comparing methods, but not recommended, overruled by isUsingCPTSeveralT = TRUE)
seasons, in which only less than this proportion of temperature classes a threshold was detected, are excluded from aggregation
minimum proportion of bootstrap samples for which a threshold was detected. Below this proportion NA quantiles are reported.
minimum number of records in plateau, threshold must be larger than mean of this many bins
usControlUstarEst()
#> $ustPlateauFwd
#> [1] 10
#>
#> $ustPlateauBack
#> [1] 6
#>
#> $plateauCrit
#> [1] 0.95
#>
#> $corrCheck
#> [1] 0.5
#>
#> $firstUStarMeanCheck
#> [1] 0.2
#>
#> $isOmitNoThresholdBins
#> [1] TRUE
#>
#> $isUsingCPT
#> [1] FALSE
#>
#> $isUsingCPTSeveralT
#> [1] FALSE
#>
#> $minValidUStarTempClassesProp
#> [1] 0.2
#>
#> $minValidBootProp
#> [1] 0.4
#>
#> $minNuStarPlateau
#> [1] 3
#>