generate_growth_dfs: generate_growth_df

Description Usage Arguments Details Value

View source: R/growth_df_prep.R

Description

generate_growth_df takes a CDF and given two seasons (start and end) saturates all possible growth calculations for a student and returns a long data frame with the results.

Usage

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generate_growth_dfs(processed_cdf,
  norm_df_long = norms_students_wide_to_long(student_growth_norms_2015),
  include_unsanctioned_windows = FALSE)

Arguments

processed_cdf

a conforming processed_cdf data frame

norm_df_long

defaults to student_growth_norms_2015 if you have a conforming norms object, you can use generate_growth_df to produce a growth data frame for those norms. example usage: calculate college ready growth norms, and use generate_growth_df to see if students met them.

include_unsanctioned_windows

if TRUE, generate_growth_df will return some additional growth windows like 'Spring to Winter', which aren't in the official norms (but might be useful for progress monitoring).

Details

A workflow wrapper that calls a variety of growth_df prep functions. Given a mapvizieR processed cdf, this function will return a a growth data frame, with one row per student per test per valid 'growth_window', eg 'Fall to Spring'.

Value

a data frame with all rows where the student had at least ONE matching test event (start or end)


almartin82/mapvizieR documentation built on Sept. 3, 2017, 7:52 a.m.