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 |