fit_many: Fitting many functions across groups

In photosynthesis: Tools for Plant Ecophysiology & Modeling

Fitting many functions across groups

Description

We are no longer updating this function. Please use generic methods like map instead. See vignette("light-response") for an example.

Usage

fit_many(data, funct, group, progress = TRUE, ...)

Arguments

data	Dataframe
funct	Function to fit
group	Grouping variables
progress	Flag. Show progress bar?
...	Arguments for the function to fit. Use ?functionname to read the help file on available arguments for a given function.

Value

fit_many fits a function across every instance of a grouping variable.

Examples

# Read in your data
# Note that this data is coming from data supplied by the package
# hence the complicated argument in read.csv()
# This dataset is a CO2 by light response curve for a single sunflower
data = read.csv(system.file("extdata", "A_Ci_Q_data_1.csv",
  package = "photosynthesis"
))

# Define a grouping factor based on light intensity to split the ACi
# curves
data$Q_2 = as.factor((round(data$Qin, digits = 0)))

# Convert leaf temperature to K
data$T_leaf = data$Tleaf + 273.15

# Fit many curves
fits = fit_many(
  data = data,
  varnames = list(
    A_net = "A",
    T_leaf = "T_leaf",
    C_i = "Ci",
    PPFD = "Qin"
  ),
  funct = fit_aci_response,
  group = "Q_2"
)

# Print the parameters
# First set of double parentheses selects an individual group value
# Second set selects an element of the sublist
fits[[3]][[1]]

# Print the graph
fits[[3]][[2]]

# Compile graphs into a list for plotting
fits_graphs = compile_data(fits,
  list_element = 2
)


# Compile parameters into dataframe for analysis
fits_pars = compile_data(fits,
  output_type = "dataframe",
  list_element = 1
)

photosynthesis documentation built on April 4, 2025, 12:30 a.m.