cfaGaps | R Documentation |
Function for creating diganostic plots depicting achievement and other types of gaps derived from education assessment data.
cfaGaps( gap_data, gap_groups=NULL, gap_plot_title="Non-Parametric Gap Plot", gap_plot_fig_width=13, gap_plot_fig_height=8.5, gap_plot_file_path="Visualizations/Gaps/", gap_plot_file_name="Gaps", gap_plot_output_format="PDF")
gap_data |
Assessment data (usually scaled scores) from which to calculate and depict (achievement) gaps. |
gap_groups |
Vector of group names with which to calculate/create gap diagnostic information/plots. |
gap_plot_title |
Character string indicating the title of the gap plot. Default is 'Non-paerametric gap plot'. |
gap_plot_fig_width |
Width (in inches) of gap plot. Default is 13 inches. |
gap_plot_fig_height |
Height (in inches) of gap plot. Default is 8.5 inches. |
gap_plot_file_path |
Path to be used where gap plot is saved. Default is 'Visualizations/Gaps/'. |
gap_plot_file_name |
File name to be used for gap plot. Default is 'Gaps'. |
gap_plot_output_format |
Character string indicating the output format for the figures produced by cfaGaps. Currently supports PDF, PNG, SVG, and PLOTLY. |
Typical use of the function is to submit scale score data together with group identifiers from which to calculate and depict (achievement) gaps.
Function returns plots depicting/representing (achievement) gap data).
Damian W. Betebenner dbetebenner@nciea.org
## Not run: cfaGaps( gap_data=sgpData_LONG[ YEAR=="2018_2019", c("SCALE_SCORE", "ETHNICITY"), with=FALSE], gap_groups=c("African American", "White")) ## End(Not run)
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