Man pages for cofad
Contrast Analyses for Factorial Designs
| 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... |
| 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 |
| cofad-package | cofad: Contrast Analyses for Factorial Designs |
| furr_p4 | Empathy data set by Furr (2004) |
| haans_within1by4 | Haans within data example |
| lambda_diff | Calculate lambdas for two competing hypotheses |
| pipe | Pipe operator |
| 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 |
