ind_excl_inc: Incrementally calls ind_excl_step
In ionr: Test for Indifference of Indicator

Description Usage Arguments Value Examples

View source: R/ind_excl_inc.R

See ind_excl for details.

1 2	ind_excl_inc(indicators, outcome, indicatornames = 1:ncol(indicators), pcrit = 0.05, verbose = F, coruse = "everything")

`indicators`	Set of numeric indicators (items) in a matrix.
`outcome`	A numeric outcome vector. Indicators and outcome can be simulated with `scale_sim`
`indicatornames`	An array of strings for labelling the outcome. Default to numbers from 1 to n of indicators
`pcrit`	a p-value characterising the ‘significance’ of difference between correlations—here called ‘significance of indicator exclusion’ (SONE). Look it up from Table 2 in Vainik, Mõttus et al 2015, or simulate using `optimal_p` function
`verbose`	option for observing steps for debugging. Defaults to FALSE
`coruse`	argument for function cor(). Defaults to 'everything', as simulations have no missing data.

Provides the results of a single step in indicator exclusion procedure. See example for details

## Create a scale-outcome set that violates ION. Only 2 last indicators out of 8
## relate to the outcome, the others just relate to the 2 indicators
set.seed(466)
a<-scale_sim(n=2500, to_n=2, tn_n=6)
# run the exclusion procedure. Pcrit taken from Table 2 in Vainik et al., 2015,
# European Journal of Personality
res=ind_excl_inc(a[[1]],a[[2]], pcrit=0.0037)
# which indicators does the procedure exclude?
res