| runShinyApp {heiscore} | R Documentation |
Launch Shiny app to visualize Healthy Eating Index (HEI) scores
Description
This function launches a Shiny application that allows users to visualize HEI scores calculated from National Health and Nutrition Examination Survey (NHANES) 24-hour dietary recall data.
Usage
runShinyApp()
Value
No return value, launches interactive Shiny app
Shiny App Tab Information
Tab 1 - Variable Information: The Variable Information tab provides additional information on dietary components and constituents.
Tab 2 - Demographics: The Demographics tab displays a bar chart that illustrates the distribution of the NHANES sample across categories including sex, race, age, and income. The chart is weighted to ensure the distribution is aligned with the demographics of the entire United States.
Side Panel Options
Select Dataset: Choose the years that the data is from
Choose a Demographic: Pick a demographic category to view the distribution of
Select Sex/Race/Age Bracket/Income Bracket:Use the checkboxes to only use data from the desired demographic subgroup
Tab 3 - Recalls: The Recalls tab displays a histogram of the raw consumption of the selected food group, weighted to make the distribution representative of the United States.
Side Panel Options
Select Dataset: Choose the years that the data is from
Select Component Type: Choose to view dietary components or constituents (explained in the Variable Information tab)
Select Variable: Pick a specific dietary component or constituent to view the distribution of
Select Sex/Race/Age Bracket/Income Bracket: Use the checkboxes to only use data from the desired demographic subgroup
Below Plot Options
Select Plot Type: Choose the type of graph used to visualize the data
Options:
Adjusted per 1000 Calories: When the checkbox is selected, the histogram will show the distribution of the amount of the chosen dietary component consumed per 1000 kcal in each recall
Plot Average: When the checkbox is selected, the histogram will show the distribution of the average of participants’ two recalls, if the individual participated in both recalls. Otherwise, the participant’s single recall will be used instead.
X-Axis Options:
Keep X-Axis Constant for Recall Component: This option makes the x-axis bounds the same for the selected recall component across all years and demographic subsets.
Make X-Axis Proportional to Maximum: This option sets the x-axis bounds from 0 to 20. The maximum recall value of the chosen food group within the selected year and demographic subgroup is set as 20, and all other recall values are assigned proportionally to the maximum value on a scale from 0 to 20.
Raw Values: No adjustments are made to the x-axis bounds
Select Radar Plot Demographic: When the Plot Type is ‘Radar’, choose the demographic category by which the recalls will be categorized
Tab 4 - Scoring: The Scoring tab visualizes HEI scores from NHANES data. The graphs are weighted to make the distributions representative of the United States.
Side Panel Options
Choose a Scoring Method: Select which HEI scoring method to implement.
Select Dataset: Choose the years that the data is from
Compare with a Second Dataset: Choose the years that the data for the optional second plot is from
Select Variable: Pick to view the total HEI score or one of the 13 individual component scores.
Select Age Group: Choose to include data either from Toddlers from 12-23 months old or older individuals since these two age groups have different HEI scoring standards.
Choose a Demographic: When the Scoring Method is ‘Mean Ratio’ or ‘Population Ratio’, choose the demographic category by which the scores will be categorized
Select Sex/Race/Age Bracket/Income Bracket: Use the checkboxes to only use data from the desired demographic subgroup
Below Plot Options
Select a scoring display option: Choose the type of graph used to visualize the data
Examples
runShinyApp()