acct_achievement: Accountability Achievement Calculations
In amarsee/andrewacct: Andrew Marsee Accountability Functions

This function creates Accountability dataframe for the Achievement Indicator with the 2020 achievement indicator cuts by default

acct_achievement(
  student_level_df,
  grade_pools_path,
  school_names_path,
  success_amo_path,
  act_substitution_path,
  school_assessment_df,
  a_cut,
  b_cut,
  c_cut,
  d_cut,
  min_n_count = 30
)

`student_level_df`	Dataframe with student level achievement data
`grade_pools_path`	Path to the Grade Pools file
`school_names_path`	Path to the file with School/System names
`success_amo_path`	Path to the AMO file for the Achievement Indicator
`act_substitution_path`	Path to the ACT Substitution file
`school_assessment_df`	Dataframe with school level Assessment data
`a_cut`	Cut score for 'A' in Absolute Pathway
`b_cut`	Cut score for 'B' in Absolute Pathway
`c_cut`	Cut score for 'C' in Absolute Pathway
`d_cut`	Cut score for 'D' in Absolute Pathway
`min_n_count`	Minimum N Count needed to receive score

## Not run: 
acct_achievement(sl_df,
"N:/ORP_accountability/projects/2019_school_accountability/grade_pools_designation_immune.csv",
"N:/ORP_accountability/data/2019_final_accountability_files/names.csv",
"N:/ORP_accountability/projects/2019_amo/success_rate_targets_school.csv",
"N:/ORP_accountability/data/2019_final_accountability_files/act_substitution_school.csv",
"N:/ORP_accountability/data/2019_final_accountability_files/school_assessment_file.csv",
45, 35, 27.5, 20, min_n_count= 30)

## End(Not run)