View source: R/growth_df_prep.R
generate_growth_dfs | R Documentation |
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.
generate_growth_dfs(processed_cdf,
norm_df_long = norms_students_wide_to_long(student_growth_norms_2015),
include_unsanctioned_windows = FALSE)
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). |
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'.
a data frame with all rows where the student had at least ONE matching test event (start or end)
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