Creates a standardized data frame for systematic literature review with predefined columns, allowing the addition of custom columns if needed.
init_matrix(...)A data frame with predefined columns for literature review analysis.
Optional. Additional column names (as character strings) to be appended to the matrix.
The matrix includes the following predefined columns: - `year`: Numeric. Year of publication. - `citation`: Character. Citation or reference details. - `keywords`: Character. Keywords or tags for the study. - `profession`: Character. Profession of the study participants or target audience. - `electronic`: Logical. Indicates whether the study is available electronically. - `purpose`: Character. Purpose or objective of the study. - `study_design`: Character. Study design or methodology. - `outcome_var`: Character. Outcome variables measured in the study. - `predictor_var`: Character. Predictor variables considered in the study. - `sample`: Numeric. Sample size. - `dropout_rate`: Numeric. Dropout or attrition rate. - `setting`: Character. Study setting (e.g., clinical, educational). - `inclusion_criteria`: Character. Inclusion criteria for participants. - `ethnicity`: Character. Ethnic background of participants. - `age`: Numeric. Age of participants. - `sex`: Factor. Sex of participants. - `income`: Factor. Income level of participants. - `education`: Character. Educational background of participants. - `measures`: Character. Measures or instruments used for data collection. - `analysis`: Character. Analytical methods used. - `results`: Character. Summary of results or findings. - `limitations`: Character. Limitations of the study. - `implications`: Character. Implications or recommendations from the study. - `ethical_concerns`: Character. Ethical concerns addressed in the study. - `biases`: Character. Potential biases in the study. - `notes`: Character. Additional notes or observations.
Custom columns can also be added by passing their names via the `...` argument.
# Create a basic literature review matrix
lit_matrix <- init_matrix()
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