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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