Plot regression and fractions for each month between parts of nutrient and total

Usage

plot_fractions(df, station, total_var, min_vars)

Arguments

df: dataframe with formatted data (Station, DATE, Variables and Values columns are needed).
station: character vector indicating station/s, which should be selected for figure.
total_var: character vector for variable selected to represent total of certain variable.
min_vars: character vector for variable/s selected to represent mineral or organic of certain variable.

Value

list of two ggplot objects: regression - monthly regression plots for total vs some part (i.e. mineral or organic), fraction - monthly fraction values.

Examples

temp_path <- system.file("extdata", "calibration_data.xlsx", package = "svatools")
cal_data <- load_template(temp_path)
#> [1] "Loading data from template."
#> [1] "Loading of data is finished."
plot_fractions(cal_data$data, c("4"), c("NT"), c("N-NO3", "N-NH4", "N-NO2"))
#> $regression
#> Warning: Upper limit outside search range. Set to the maximum of the parameter range.
#> Warning: Computation failed in `stat_poly_eq()`
#> Caused by error in `check_output()`:
#> ! out[1] <= out[2] is not TRUE
#> Warning: Not enough data to perform fit for group 1; computing mean instead.
#> Warning: Upper limit outside search range. Set to the maximum of the parameter range.
#> Warning: Computation failed in `stat_poly_eq()`
#> Caused by error in `check_output()`:
#> ! out[1] <= out[2] is not TRUE
#> Warning: Not enough data to perform fit for group 1; computing mean instead.

#> 
#> $fraction

#> 
plot_fractions(cal_data$data, c("4"), c("PT"), c("P-PO4"))
#> $regression

#> 
#> $fraction

#>