plotly_app_cohesionpredictions: Creates plotly for peak reinforcements bar plot

Description Usage Arguments Value Examples

View source: R/plotly_app_cohesionpredictions.R

Description

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.

Usage

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plotly_app_cohesionpredictions(dm, cru_wwmc, nsignif = 3)

Arguments

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)

Value

plotly object

Examples

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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)

GJMeijer/FBMcw documentation built on Dec. 17, 2021, 9:23 p.m.