View source: R/simpleEffect.aov.R
simpleEffect.aov | R Documentation |
Perform the mixed anova for two levels: Time x Induction, in induction phase.
Perform the mixed anova for two levels: Time x Induction, in induction phase.
simpleEffect.aov( data, phase = NULL, quest = NULL, score = NULL, covariate = NULL ) simpleEffect.aov( data, phase = NULL, quest = NULL, score = NULL, covariate = NULL )
data |
data frame |
phase |
analysis phases. Mandatory parameter, it could be: 'induction', 'learning', or 'transfer'. |
quest |
Induction questionnaires: EVEA or SAM -> consider upper case. |
score |
Dependent variable you'll use, depending on the induction phase questionnaire: anger, sadness, fear, happiness for the EVEA; arousal, valence for the SAM. |
covariate |
Variable name to perform ANCOVA: EDS -> consider upper case. |
anova table of the simple effect according each phase.
anova table of the simple effect according each phase.
df<-data.frame('your data') twoWay.aov(df, phase='induction', quest = 'EVEA', score = 'sadness') twoWay.aov(df, phase='induction', quest = 'EVEA', score = 'sadness', covariate = 'EDS') twoWay.aov(df, 'induction', 'EVEA', sadness') twoWay.aov(df, 'induction', 'EVEA', sadness', 'EDS') df<-data.frame('your data') twoWay.aov(df, phase='induction', quest = 'EVEA', score = 'sadness') twoWay.aov(df, phase='induction', quest = 'EVEA', score = 'sadness', covariate = 'EDS') twoWay.aov(df, 'induction', 'EVEA', sadness') twoWay.aov(df, 'induction', 'EVEA', sadness', 'EDS')
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