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Generate a Lambda Slope Plot

Source: R/lambda_slope_plot.R
lambda_slope_plot.Rd

This function generates a lambda slope plot using pharmacokinetic data. It calculates relevant lambda parameters and visualizes the data points used for lambda calculation, along with a linear regression line and additional plot annotations.

Usage

lambda_slope_plot(
  conc_pknca_df,
  row_values,
  myres = myres,
  r2adj_threshold = 0.7
)

Arguments

conc_pknca_df

Data frame containing the concentration data (default is mydata$conc$data).

row_values

A list containing the values for the column_names used for filtering. (default is patient).

myres

A PKNCAresults object containing the results of the NCA analysis

r2adj_threshold

Numeric value representing the R-squared adjusted threshold for determining the subtitle color (default is 0.7).

Value

A plotly object representing the lambda slope plot.

Details

The function performs the following steps:

  • Creates duplicates of the pre-dose and last doses of concentration data.

  • Filters and arranges the input data to obtain relevant lambda calculation information.

  • Identifies the data points used for lambda calculation.

  • Calculates the fitness, intercept, and time span of the half-life estimate.

  • Determines the subtitle color based on the R-squared adjusted value and half-life estimate.

  • Generates a ggplot object with the relevant data points, linear regression line, and annotations.

  • Converts the ggplot object to a plotly object for interactive visualization.

Examples

if (FALSE) { # \dontrun{
  # Example usage:
  plot <- lambda_slope_plot(conc_pknca_df = mydata$conc$data,
                            row_values = list(USUBJID = "001", STUDYID = "A", DOSENO = 1),
                            myres = res_nca,
                            r2adj_threshold = 0.7)
  plot
} # }