Generate variable mapping code for lake observation data

This function generates R code to create a variable mapping data frame (`var_map`) used in the lake_obs_to_aeme() function. It takes a data frame of lake observation data and fuzzy matches variable names to their corresponding AEME variable names using the `key_naming` dataset. When inputting the units of your data, please ensure they are in the format recognized by the `units` package (e.g. "m", "m^3", "degC", "mg/L", "g/m^3").

Usage

generate_var_map_code(data, var_col_name = "name")

Arguments

data: data frame containing lake observations
var_col_name: column name for variable names. If missing, the function will attempt to infer it.

Value

A character string containing R code to create the `var_map` data frame. The code can be copied and pasted into your script and modified as needed.

Examples

#' # Example data frame with lake observation variable names
obs_data <- data.frame(
 name = c("Water Temp (°C)", "pH", "DO (mg/L)", "Chlorophyll-a (µg/L)"),
 value = c(20.5, 7.8, 8.5, 15.2)
)
# Generate variable mapping code
generate_var_map_code(obs_data, var_col_name = "name")
#> Copy and paste the following code to create your variable mapping:
#> var_map <- tibble::tribble(
#>   ~var_aeme, ~name, ~unit,
#>   "CHM_oxy", "DO (mg/L)", "mg/L",
#>   "CHM_ph", "pH", "1",
#>   "HYD_temp", "Water Temp (°C)", "degC",
#>   "PHY_tchla", "Chlorophyll-a (µg/L)", "mg/m^3",
#> )
#> 
#> Update the units to match the units in your data where necessary.