Description Usage Arguments Value Examples
View source: R/plotly_app_cohesionpredictions.R
This function generates a plotly bar plot showing peak root reinforcement according to the FBMc and FBMcw for a wide range of existing load sharing models.
1 | plotly_app_cohesionpredictions(dm, cru_wwmc, nsignif = 3)
|
dm |
dataframe with fields for existing load sharing parameters (‘betaF'), the name of this load sharing rule ('loadsharing’), the normalised reinforcement according to the FBMc model ('kk_fbmc') and the normalised reinforcement according to the FBMcw model ('kk_fbmcw'). |
cru_wwmc |
peak root-reinforcement according to the WWMc model (numeric scalar) |
nsignif |
number of significant digits in plotly hover labels (integer scalar) |
plotly object
1 2 3 4 5 6 7 8 | drules <- data.frame(
loadsharing = c('test1', 'test2'),
betaF = c(0.5, 1),
kk_fbmc = c(0.5, 1)^2,
kk_fbmcw = c(0.5, 1)^0.5
)
cru_wwmc <- 30
plotly_app_cohesionpredictions(drules, cru_wwmc, nsignif = 2)
|
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