This R code performs the following: - **Input**: The variable `Patient_Journey`...

This R code performs the following:

• Input: The variable Patient_Journey is expected to be a list of data frames.
• Goal: For each data frame in the list, it filters rows under specific conditions.

Code breakdown:

1. lapply function: The lapply function applies a specified function to each element of a list. Here, it processes each data frame in the list Patient_Journey.

2. Anonymous function (function(df)): A function is defined inline to operate on each data frame (df) in the Patient_Journey list.

3. Filtering rows: Inside the anonymous function:

   • df$DLT == "No": It checks whether the column DLT in the data frame df has the value "No".
   • df$Final Choice > 0: It checks whether the column Final Choice (with a space in its name) contains values greater than 0.

   The rows that satisfy both of these conditions will be retained, and all others will be removed (& represents the logical AND operator).

4. Result:

   • For each data frame in the Patient_Journey list, this filtering operation is performed.
   • A new list Patient_Population is created, where each element is a filtered version of the corresponding data frame from Patient_Journey.

Summary:

The code creates a new list Patient_Population, where each element is a filtered data frame from Patient_Journey that includes only rows where:

• The DLT column has the value "No".
• The Final Choice column has a value greater than 0.