example_data | R Documentation |
Names, description and units (where needed) of the variables. Name of the variables in the input data should be the same as the ones listed below for accurately calculating the indices. Otherwise it will result in Error. If a variable is missing for the category it will not calculate the any of the index for that category. This can be handeld by creating the variable column with NA vlaues If the values are missing for a variable it will set the value to NA and calculate the remaining indices and return the NA value for the missing variable.
example_data
A data frame with rows (number of observations) and 17 columns (variables, can vary for every data):
numeric Age of the individual (years)
factor Sex of the individual (1 for male, 2/0 for female)
numeric Fasting insulin level (pmol/L)
numeric Fasting glucose level (mmol/L)
numeric Insulin level at 30 minutes (pmol/L)
numeric Glucose level at 30 minutes (mmol/L)
numeric Insulin level at 120 minutes (pmol/L)
numeric Glucose level at 120 minutes (mmol/L)
numeric HDL cholesterol level (mmol/L)
numeric Free fatty acid level (mmol/L)
numeric Waist circumference of the individual (cm)
numeric Weight of the individual (kg)
numeric Body mass index of the individual (kg/m^2)
numeric Triacylglycerides level (mmol/L)
numeric Rate of palmitate (arbitrary units)
numeric Rate of glycerol (arbitrary units)
numeric Fat mass of the individual (kg)
Data is a simulated dataset for illustrative purposes.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.