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Plot predicted trends

Source: R/plot_trend.R
plot_trend.Rd

Plot predicted trends

Usage

plot_trend(
  raw_indices = NULL,
  model_indices = fitted_data,
  pred_indices = preds_sm,
  start_yr = 2014,
  end_yr = 2022,
  ref_yr = 2014,
  targets = NULL
)

Arguments

raw_indices

tibble with raw annual index value of observed data columns = year, index, index_q_0.25 = 2.5% confidence interval and index_q_0.975 = 97.5 % confidence interval. If raw indices are unavavilable these will be generated based on 5 and 95 percent range

model_indices

tibble of estimated indices drawn from fit_* function. Columns are draw, year, and proj_y

pred_indices

datatable with modeled and predicted values into the future

start_yr

numeric value of the first year in which trend will be calculated. Default is first available year within the dataset

end_yr

numeric value representing the last year in which trend will be calculated. Default is first available year within the dataset

ref_yr

numeric value representing the reference year in which trends are compared to, default is 2014 for pif calculations

targets

optional tibble of short and term targets generated by get_targets()

Value

plot

Examples

if (FALSE) { # \dontrun{
  hgams_plot <- plot_trend(raw_indices = input_option_1, model_indices = ldf_hgam,
  pred_indices = preds_hgam, start_yr = 2014, end_yr = 2022)
} # }