NUETON (version 0.2.0)

calculate_nue_batch: Calculate All NUE Indicators (Batch Processing)

Description

Automatically detects available data columns and calculates all 23 NUE indicators.

Usage

calculate_nue_batch(
  data,
  yield_f = "YieldF",
  yield_0 = "Yield0",
  fert_n = "FertN",
  plant_n_f = "PlantNf",
  plant_n_0 = "PlantN0",
  yield_n = "YieldN",
  soil_n = "SoilN",
  plant_bm = "PlantBM",
  plant_15n = "Plant15N",
  fert_15n = "Fert15N",
  gr = "GR",
  n_con = "Ncon",
  n_rec = "Nrec",
  n_loss = "Nloss",
  n_in = "Ni",
  n_out = "No",
  delta_soil_n = "delSoilN",
  mrt = "MRT"
)

Value

A dataframe with new columns appended for every calculable metric.

Arguments

data

A dataframe containing experimental data.

yield_f

Column name for Fertilized Yield. Default: "YieldF"

yield_0

Column name for Control Yield. Default: "Yield0"

fert_n

Column name for Fertilizer N input. Default: "FertN"

plant_n_f

Column name for Plant N (fertilized). Default: "PlantNf"

plant_n_0

Column name for Plant N (control). Default: "PlantN0"

yield_n

Column name for N removed as yield. Default: "YieldN"

soil_n

Column name for Soil N. Default: "SoilN"

plant_bm

Column name for Plant Biomass. Default: "PlantBM"

plant_15n

Column name for Plant 15N excess. Default: "Plant15N"

fert_15n

Column name for Fertilizer 15N excess. Default: "Fert15N"

gr

Column name for Plant Growth Rate. Default: "GR"

n_con

Column name for N available for consumption. Default: "Ncon"

n_rec

Column name for N recycled. Default: "Nrec"

n_loss

Column name for N lost from system. Default: "Nloss"

n_in

Column name for Total N Input (System). Default: "Ni"

n_out

Column name for Total N Output (System). Default: "No"

delta_soil_n

Column name for Change in Soil N. Default: "delSoilN"

mrt

Column name for Mean Residency Time. Default: "MRT"

Examples

# Create a simple dataset
df <- data.frame(
  YieldF = c(3.5, 4.2, 5.0),
  Yield0 = c(2.0, 2.5, 3.0),
  FertN = c(10, 10, 10)
)

# Run the batch calculator
result <- calculate_nue_batch(df)

# View calculated AE column
print(result$AE)