guess_stnderr {guess}

Bootstrapped standard errors of effect size estimates

Description

guess_stnderr

Usage

guess_stnderr(pre_test = NULL, pst_test = NULL, nsamps = 100,
  seed = 31415, force9 = FALSE)

Arguments

pre_test

data.frame carrying pre_test items

pst_test

data.frame carrying pst_test items

nsamps

number of resamples, default is 100

seed

random seed, default is 31415

force9

Optional. There are cases where DK data doesn't have DK. But we need the entire matrix. By default it is FALSE.

Value

list with standard error of parameters, estimates of learning, standard error of learning by item

Examples

pre_test <- data.frame(pre_item1=c(1,0,0,1,0), pre_item2=c(1,NA,0,1,0)) 
pst_test <- data.frame(pst_item1=pre_test[,1] + c(0,1,1,0,0), 
					  pst_item2 = pre_test[,2] + c(0,1,0,0,1))
## Not run: guess_stnderr(pre_test, pst_test, nsamps=10, seed = 31415)