grow.trajectories: Function for looping over all the time periods to calculate...

In mcbeem/ZPDGrowthTrajectories: Simulate achievement growth trajectories using a theoretical model of academic achievement based on the zone of proximal development

Description

Function for looping over all the time periods to calculate achievement trajectories called by ZPDGrowthTrajectories()

Usage

grow.trajectories(
  times,
  assignment,
  students,
  which.curriculum,
  decay.weight,
  school.weight,
  home.weight,
  dosage,
  school.lookup.table,
  home.lookup.table
)

Arguments

times	how many time intervals to compute; the first n values of the assignment vector
assignment	vector indicating which school curriculum will be presented during each time period, where the numbers refer to columns of the curriculum.start.points matrix and zeros represent times of no school instruction (e.g., summmer)
students	a four-column matrix of student characteristics, where the first column contains learn.rate, the second home.env, the third decay.rate, and the fourth achievement. There is one row per student.
which.curriculum	a vector of values indicating which version of the school curriculum should be presented during interval t. The numbers index list elements of the curriculum.start.points and curriculum.widths objects
decay.weight	a global scalar for adjusting the rate of forgetting; prevents having to adjust all decay.rate values
school.weight	a global scalar for adjusting the growth from school exposure; prevents having to adjust all learn.rate values
home.weight	a global scalar for adjusting the growth from home; prevents having to adjust all home.env values
dosage	scalar ranging from 0 to 1 indicating the ratio of school / home exposure during time intervals where school curriculum is presented (e.g., during academic years)
school.lookup.table	the school growth lookup table produced by the build_school_lookup() function
home.lookup.table	the home growth lookup table produced by the build_home_lookup() funtion

Examples

## Not run: 
curriculum.start.points <- matrix(c(.1, .2, .3), ncol=1)

curriculum.widths <- matrx(rep(.11, 3), ncol=1)

school.lookup.table <- build.school.lookup(integration.points=2000, ZPD.width=.05,
                                           ZPD.offset=.02,
                                           curriculum.start.points=curriculum.start.points,
                                           curriculum.widths=curriculum.widths,
                                           slope1=10, slope2=30, maxachievement=1.5)

home.lookup.table <- build.home.lookup(integration.points=2000, ZPD.width=.05,
                                       ZPD.offset=.02, rate=4, maxachievement=1.5)

students <- matrix(c(.05, .04, .03,
                   .15, .2, .08,
                   .001, .002, .0015,
                   rep(.15, 3)), ncol=4)

grow.trajectories(times=10, students=students, which.curriculum=1,
                  assignment=rep(1, 10), decay.weight=.25, school.weight=1, home.weight=1,
                  dosage=.8, school.lookup.table=list(school.lookup.table),
                  home.lookup.table=home.lookup.table)

## End(Not run)

mcbeem/ZPDGrowthTrajectories documentation built on May 18, 2020, 2:04 p.m.