heplots (version 1.2-0)

SocialCog: Social Cognitive Measures in Psychiatric Groups

Description

The general purpose of the study (Hartman, 2016, Heinrichs etal. (2015)) was to evaluate patterns and levels of performance on neurocognitive measures among individuals with schizophrenia and schizoaffective disorder using a well-validated, comprehensive neurocognitive battery specifically designed for individuals with psychosis (Heinrichs etal. (2008)) The data here are for a subset of the observations in NeuroCog for which measures on various scales of social cognition were also available. Interest here is on whether the schizophrenia group can be distinguished from the schizoaffective group on these measures.

Usage

data("SocialCog")

source

Hartman, L. I. (2016). Schizophrenia and Schizoaffective Disorder: One Condition or Two? Unpublished PhD dissertation, York University. Heinrichs, R.W., Pinnock, F., Muharib, E., Hartman, L.I., Goldberg, J.O., & McDermid Vaz, S. (2015). Neurocognitive normality in schizophrenia revisited. Schizophrenia Research: Cognition, 2 (4), 227-232. doi: 10.1016/j.scog.2015.09.001

Details

See NeuroCog for a description of the sample. Only those with complete data on all the social cognitive measures are included in this data set. There is one extreme outier in the schizophrenia group and other possible outliers in the control group, left in here for tutorial purposes.

Examples

data(SocialCog)
SC.mod <- lm(cbind(MgeEmotions, ToM, ExtBias, PersBias) ~ Dx, data=SocialCog)
SC.mod
Anova(SC.mod)

# test hypotheses of interest in terms of contrasts
print(linearHypothesis(SC.mod, "Dx1"), SSP=FALSE)
print(linearHypothesis(SC.mod, "Dx2"), SSP=FALSE)

#' ## HE plots

heplot(SC.mod, hypotheses=list("Dx1"="Dx1", "Dx2"="Dx2"),
	fill=TRUE, fill.alpha=.1)
	
pairs(SC.mod, fill=c(TRUE,FALSE), fill.alpha=.1)