Handling Incomplete Responses in Survey Data Analysis
Detect dropped observations and columns
Generate a summary of metrics for the dataset
Prepare data for C API: list of row-vectors with NA indicators
Check that the input is a valid dataframe
Detect Instances of Dropout in Data
Summarize Missing Data Metrics for Each Column
dropout: Handling Incomplete Responses in Survey Data Analysis
Compute column name for dropped observations
Compute completeness of each column
Compute drop indicator for each row
Compute drop index for each row
Compute drop metric for each column
Compute total NA count for each column
Compute section length metric for each column
Compute section NA metric for each column
Compute single NA metric for each column
Offers robust tools to identify and manage incomplete responses in survey datasets, thereby enhancing the quality and reliability of research findings.
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