Data for generating lift chart.
blr_prep_lchart_gmean(gains_table) blr_prep_lchart_data(gains_table, global_mean)
| gains_table | An object of clas |
|---|---|
| global_mean | Overall conversion rate. |
model <- glm(honcomp ~ female + read + science, data = hsb2, family = binomial(link = 'logit')) gt <- blr_gains_table(model) globalmean <- blr_prep_lchart_gmean(gt) blr_prep_lchart_data(gt, globalmean) #> decile total 1 decile_mean d_by_g_mean #> 1 1 20 14 0.70 2.6415094 #> 2 2 20 13 0.65 2.4528302 #> 3 3 20 10 0.50 1.8867925 #> 4 4 20 7 0.35 1.3207547 #> 5 5 20 3 0.15 0.5660377 #> 6 6 20 3 0.15 0.5660377 #> 7 7 20 1 0.05 0.1886792 #> 8 8 20 2 0.10 0.3773585 #> 9 9 20 0 0.00 0.0000000 #> 10 10 20 0 0.00 0.0000000