| source('sensitivity_testing_B_001.R') |
| source('sensitivity_testing_B_05.R') |
| source('sensitivity_testing_B_099.R') |
|
|
| WAIC_0.1 <- read.csv("output_tables/ waics Boundness_social_models .csv") %>% |
| mutate(prior = "0.1") |
|
|
| WAIC_0.01 <- read.csv("output_tables/ waics Boundness_social_models prior_0.01 .csv") %>% |
| mutate(prior = "0.01") |
|
|
| WAIC_0.5 <- read.csv("output_tables/ waics Boundness_social_models prior_0.5 .csv") %>% |
| mutate(prior = "0.5") |
|
|
| WAIC_0.99 <- read.csv("output_tables/ waics Boundness_social_models prior_0.99 .csv") %>% |
| mutate(prior = "0.99") |
|
|
| sensitivity_B <- as.data.frame(rbind(WAIC_0.1, WAIC_0.01, WAIC_0.5, WAIC_0.99)) %>% |
| mutate(response="fusion") |
|
|
|
|
| source('sensitivity_testing_I_001.R') |
| source('sensitivity_testing_I_05.R') |
| source('sensitivity_testing_I_099.R') |
|
|
| WAIC_0.1 <- read.csv("output_tables/ waics Informativity_social_models .csv") %>% |
| mutate(prior = "0.1") |
|
|
| WAIC_0.01 <- read.csv("output_tables/ waics Informativity_social_models prior_0.01 .csv") %>% |
| mutate(prior = "0.01") |
|
|
| WAIC_0.5 <- read.csv("output_tables/ waics Informativity_social_models prior_0.5 .csv") %>% |
| mutate(prior = "0.5") |
|
|
| WAIC_0.99 <- read.csv("output_tables/ waics Informativity_social_models prior_0.99 .csv") %>% |
| mutate(prior = "0.99") |
|
|
| sensitivity_I <- as.data.frame(rbind(WAIC_0.1, WAIC_0.01, WAIC_0.5, WAIC_0.99)) %>% |
| mutate(response="informativity") |
|
|
| sensitivity_all <- as.data.frame(rbind(sensitivity_B, sensitivity_I)) |
|
|
| write.csv(sensitivity_all, "output_tables/Table_sensitivity.csv") |
|
|
| sensitivity_all <- sensitivity_all %>% |
| flextable() %>% |
| autofit() %>% |
| merge_v(j=c("response", "prior")) %>% |
| fix_border_issues() |
|
|
| save_as_docx( |
| "Summary of sensitivity" = sensitivity_all, |
| path = "output_tables/Table_sensitivity.docx") |
|
|
