plot_daily_PRM {CalcThemAll.PRM}

Plot Daily Average PRM Values for a Single Site/Sampling Year

Description

Plot Daily Average PRM Values for a Single Site/Sampling Year

Usage

plot_daily_PRM(
  daily_PRM_data,
  wet_season_start = NULL,
  wet_season_length = 182,
  PRM_group = "Total PRM",
  title = FALSE,
  legend = "Numerical"
)

Arguments

daily_PRM_data

A data set of calculated daily average PRM values for a single site and sampling year. This data set should also include a "Date", "Sampling Year" and "Site Name" column.

wet_season_start

The date of the start of the wet season for this site sampling year. If not applicable leave as NA

wet_season_length

The length of the wet season in days.

PRM_group

This specifies the name of the column to plot. The daily average calculations gives PRM for each pesticide type and a total in different columns. "Total" is set as the default as it is the PRM value for all pesticides.

title

TRUE or FALSE value to include a title.

legend

Does the legend show "Numerical" or "Categorical" values for PRM values on the plot.

Value

A plotly plot

Examples

Canto_pesticides_LOR_treated <- treat_LORs_all_data(raw_data = Canto_pesticides,
pesticide_info = CalcThemAll.PRM::pesticide_info)
Canto_daily_PRM <- calculate_daily_average_PRM(LOR_treated_data = Canto_pesticides_LOR_treated)
Violet_Town_2017_2018_PRM <- Canto_daily_PRM %>%
dplyr::filter(.data$`Sampling Year` ==  "2017-2018" &  .data$`Site Name` == "Violet Town")
plot_daily_PRM(Violet_Town_2017_2018_PRM, "2017-10-02", PRM_group = "Total PRM")