calib_boxplot: Boxplot of best parameters

In GREENeR: Geospatial Regression Equation for European Nutrient Losses (GREEN)

Boxplot of best parameters

Description

Returns boxplots of best model parameters ranked according to different goodness-of-fit measures, and also boxplot with the distribution of the parameters values.

Usage

calib_boxplot(df_cb, rate_bs)

Arguments

df_cb	data frame. Table with the result of the calibration process.
rate_bs	numeric. Rate (%) of parameters selected from the whole set produced in the calibration.

Value

Multiple boxplots

Examples

# the data of the TN scenario
data(catch_data_TP)
data(annual_data_TP)
# the parameter for the calibration of the model
n_iter <- 2 # number of iterations
# the lower limits for all params (alpha_P, alpha_L, sd_coef)
low <- c(10, 0.000, 0.1)
# the upper limits for all params (alpha_P, alpha_L, sd_coef)
upp <- c(70, 0.3,  0.9)
# years in which the model should be executed
years <- 1990:2018
# execution of the calibration
df_calib <- calib_green(catch_data_TP, annual_data_TP, n_iter, low, upp,
years)
# Generating the box plots
rateBS <- 5 # rate of best set of parameter to include in the plots
calib_boxplot(df_calib, rateBS)

GREENeR documentation built on Nov. 17, 2023, 1:06 a.m.