Contrast Analyses for Factorial Designs

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Documentation for package ‘cofad’ version 0.3.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

akan	Data from Akan et al. (2018), experiment 2B
calc_contrast	Calculate contrast analysis for factorial designs
calc_contrast_aggregated	Calculate between contrast analysis from aggregated data (means, sds and ns)
calc_r_alerting	Calculate r_alerting from r_contrast and r_effectsize
calc_r_alerting_from_f	Calculate r_alerting from F-values
calc_r_contrast	Calculate r_contrast from r_alerting and r_effectsize
calc_r_effectsize	Calculate r_effectsize from r_contrast and r_alerting
furr_p4	Empathy data set by Furr (2004)
haans_within1by4	Haans within data example
lambda_diff	Calculate lambdas for two competing hypotheses
print.cofad_bw	Output of between-subject design contrast analysis
print.cofad_mx	Output of a mixed design contrast analysis
print.cofad_wi	Output of a within subject design contrast analysis
rosenthal_chap5_q2	Complexity data set by Rosenthal and Rosnow (2000)
rosenthal_p141	Data set by Rosenthal and Rosnow (2000)
rosenthal_tbl31	Data set by Rosenthal and Rosnow (2000)
rosenthal_tbl53	Children data set by Rosenthal and Rosnow (2000)
rosenthal_tbl59	Therapy data set by Rosenthal and Rosnow (2000)
rosenthal_tbl68	Data set by Rosenthal and Rosnow (2000)
run_app	Starts the mimosa shiny app
schwoebel	Data from Schwoebel et al. (2018)
sedlmeier_p525	Problem solving data set by Sedlmeier & Renkewitz (2018)
sedlmeier_p537	Music data set by Sedlmeier & Renkewitz (2018)
summary.cofad_bw	Summary of between subject design contrast analysis
summary.cofad_mx	Summary of a mixed design contrast analysis
summary.cofad_wi	Summary of within subject design contrast analysis
testing_effect	Testing Effect data