| source("install_and_load_INLA.R") |
|
|
| |
| kappa = 1 |
| phi_1 = c(1, 1.25) |
|
|
| WALS <- read_csv("data/complexity_data_WALS.csv") %>% |
| dplyr::select("Name"=lang, roundComp, logpop2, "ISO_639"=silCode) %>% |
| dplyr::mutate(ISO_639 = str_to_lower(ISO_639)) |
|
|
| min_val <- min(WALS$roundComp) |
| max_val <- max(WALS$roundComp) |
|
|
| |
| WALS$roundComp <- (WALS$roundComp - min_val) / (max_val - min_val) |
|
|
| pop_file_fn <- "data_wrangling/ethnologue_pop_SM_morph_compl_reanalysis.tsv" |
| L1 <- |
| read_tsv(pop_file_fn, show_col_types = F) %>% dplyr::select(ISO_639, L1_log10_scaled) |
|
|
| WALS_df <- WALS %>% |
| inner_join(L1, |
| by = c("ISO_639")) |
|
|
| formula <- as.formula(paste("roundComp ~", "L1_log10_scaled")) |
| result <- inla(formula, family = "gaussian", |
| data = WALS_df, control.compute = list(waic = TRUE)) |
| summary(result) |
|
|
| save(result, file = "output_models/models_WALS_uncontrolled.RData") |
|
|
| social_effects_uncontrolled <- c("morphological complexity ~ L1", |
| round(c( |
| result$summary.fixed[2,]$`0.025quant`, |
| result$summary.fixed[2,]$`0.5quant`, |
| result$summary.fixed[2,]$`0.975quant`, nrow(WALS_df)), 2), "default (~10%)") |
|
|
| save(social_effects_uncontrolled, file = "output_models/social_effects_uncontrolled.RData") |
|
|
|
|
|
|
