update_diffs: Uses student activity data to update item difficulties.

In kimjam/khanELO: Utlizes MAP data and Khan Academy data to update items and students using ELO Rating System

Description

Uses student activity data to update item difficulties.

Usage

update_diffs(student_activity, priors = "tree", priorpath = NA,
  filepath = NA, numeric_sid = TRUE, plot = FALSE, verbose = TRUE)

Arguments

student_activity	List of dataframes returned by generate_activity()
priors	A string (nwea, tree, inhouse), to indicate which estimates to use as priors. Defaults to tree.
priorpath	If inhouse priors are used, provide path to csv containing these estimates.
filepath	a path and filename to write the updated difficulties to. ex: '/mypath/my_estimates.csv'
numeric_sid	Conditional indicating whether studentid is numeric or not. Default is TRUE
plot	TRUE if you want to print a plot showing change in difficulty. Default is FALSE.
verbose	Default is TRUE to print status updates.

Value

returns dataframe of updated difficulties or writes to a csv if filepath is not NA

kimjam/khanELO documentation built on May 20, 2019, 9:40 a.m.