A weighted standardized trait summary. Trait direction is context-dependent: greater ROL, porosity, aerenchyma or SRL is not universally better plant performance or greater oxygen delivery to every root region.
Usage
rri_root_physio(
plant_df,
biomass_col = NULL,
length_col = NULL,
rol_col = NULL,
aerenchyma_col = NULL,
porosity_col = NULL,
srl_col = NULL,
w_biomass = 0.2,
w_length = 0.2,
w_rol = 0.3,
w_aerenchyma = 0.2,
w_porosity = 0.05,
w_srl = 0.05,
directions = NULL,
scaling = c("pnorm", "minmax")
)Arguments
- plant_df
Numeric root-trait measurements.
- biomass_col, length_col
Columns for root biomass and length/density.
- rol_col
Column for measured radial oxygen loss, with consistent units.
- aerenchyma_col, porosity_col
Optional aeration trait columns; avoid double weighting correlated measures of the same anatomical attribute.
- srl_col
Column for specific root length.
- w_biomass, w_length, w_rol, w_aerenchyma, w_porosity, w_srl
Non-negative weights.
- directions
Optional named numeric vector assigning +1 (larger maps to a larger score) or -1 (larger maps to a smaller score) to each selected measurement column. NULL uses +1 for backward compatibility and warns.
- scaling
pnorm (normal-CDF scaling, not a calibrated probability) or minmax.
Examples
df <- data.frame(ROL = c(0.5, 1.0, 1.5), biomass = c(10, 20, 30))
rri_root_physio(df, rol_col = "ROL", biomass_col = "biomass",
directions = c(ROL = 1, biomass = 1))$root_physio_score
#> [1] 0.1586553 0.5000000 0.8413447