galloping_elephants: RIT distribution change (affectionately titled 'Galloping...
In almartin82/MAP-visuals: KIPP MAP Visuals

one_year_sgp returns ggplot density distributions that show change in RIT over time

galloping_elephants(.data, first_and_spring_only = TRUE,
  entry_grades = c(-0.8, 4.2), title_text = FALSE, ho_cutoff = 13,
  bw_adjust = 1, school_name_column = "sch_abbrev",
  grade_level_season = "grade_level_season",
  measurement_scale_column = "measurementscale",
  rit_score_column = "testritscore",
  test_percentile_column = "testpercentile",
  current_grade_column = "cur_grade_level")

`first_and_spring_only`	should fall/winter scores be shown, or only endpoint scores?
`entry_grades`	the entry grades that are considered 'first' for a cohort (default is KF and 5F)
`title_text`	desired plot title
`ho_cutoff`	“hold over cutoff” (not currently implemented)
`bw_adjust`	adjustment for smoothness of density, passed to `geom_density`
`school_name_column`	name of column in `.data` with school names or abbreviations
`rit_score_column`	name of column in `.data` with RIT Score
`test_percentile_column`	name of column in `.data` with National Percentile Rank
`current_grade_column`	name of column in `.data` with current grade level
`df`	long data frame in TEAM canonical style
`academic_year_column`	name of column in `.data` with academic year
`grade_level_season]`	name of column in `.data` with grade-level-season code