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Plot Disproportionality Trend

Source: R/disproportionality_analysis.R
plot_disproportionality_trend.Rd

This function plots the disproportionality trend over time for a given metric. Visualizes the results ofdisproportionality_trend().

Usage

plot_disproportionality_trend(
  disproportionality_trend_results,
  metric = "IC",
  time_granularity = "year"
)

Arguments

disproportionality_trend_results

Data frame containing the results from the disproportionality_trend function.

metric

Character string specifying the metric to plot. Options are "IC" (information component) or "ROR" (reporting odds ratio). Defaults to "IC".

time_granularity

Character string specifying the time frame. It is recommeded to use the same specified in the 'disproportionality_trend' function. Default is "year". Alternatives are "quarter" and "month".

Value

A ggplot object representing the disproportionality trend plot for the specified metric.

Details

The function creates a plot to visualize the disproportionality trend of a drug-event combination over time. Depending on the selected metric, it plots either the information component (IC) or the reporting odds ratio (ROR) with corresponding confidence intervals.

See also

Other visualization functions: render_forest()

Examples

drug_selected <- "paracetamol"
reac_selected <- "overdose"
trend_results <- disproportionality_trend(drug_selected, reac_selected,
  temp_drug = sample_Drug,
  temp_reac = sample_Reac,
  temp_demo = sample_Demo,
  temp_demo_supp = sample_Demo_supp[
    , .(primaryid, quarter)
  ]
)
plot_disproportionality_trend(trend_results, metric = "IC")