ind_excl_plot: Plot indicator exlusion results with and without excluded...
In ionr: Test for Indifference of Indicator

Description Usage Arguments Value

View source: R/ind_excl_plot.R

Provides an overview of the indicator exclusion results. Marked(x) indicators are excluded in the indicator exclusion procedure. See ind_excl for details.

left: correlations between single indicator and outcome
right: correlations between sum-score and outcome with and without the marked indicators

ind_excl_plot(indicators, indicators2 = vector(), outcome,
  scalename = "scale", outcomename = "outcome",
  indicatornames = 1:ncol(indicators), tagged = vector(),
  tagged2 = vector(), location1 = "topleft", location2 = "topright",
  pcrit = 0.05, multi = 1, coruse = "everything", ci = "estimate")

`indicators`	Set of numeric indicators (items) in a matrix.
`indicators2`	An additional set of indicators (e.g. informant-report )
`outcome`	A numeric outcome vector. Indicators and outcome can be simulated with `scale_sim`
`scalename`	A string for labelling the scale
`outcomename`	A string for labelling the outcome
`indicatornames`	An array of strings for labelling the outcome. Default to numbers from 1 to n of indicators
`tagged`	items to be marked as excluded by the indicator exclusion procedure
`tagged2`	same as 'tagged' for second scale (e.g., informant report)
`location1`	Location for legends at left-side plot
`location2`	Location for legends at right-side plot
`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
`multi`	influences cex of certain plot variables. Defaults to 1
`coruse`	argument for function cor(). Defaults to 'everything', as simulations have no missing data.
`ci`	should output object and plot have 95 CI-s from `corr.test`. If you insert a number (e.g., ci=5000), then the CI-s are bootstrapped using `cor.ci`. Any other string results in no CI-s. r value in output matrix is taken from `cor`.