conc_corr <- read_csv("data/lang_pairwise_tile_correlations.csv",
col_names = c("tile1", "tile2", "corr", "lang1", "lang2"))
conc_corr_ms <- conc_corr %>%
group_by(tile1, tile2) %>%
multi_boot_standard(col = "corr") %>%
ungroup() %>%
mutate(tile1 = as.factor(tile1))
ggplot(conc_corr_ms, aes(x = tile2, y = mean, color = tile1,
group = tile1)) +
scale_colour_discrete( name="Decile 2") +
geom_line() +
ylab("Cross-linguistic word-pairwise correlation\n (Pearson's r)") +
geom_pointrange(aes(ymin = ci_lower, max = ci_upper), size = .2) +
scale_x_continuous(breaks=1:10) +
ggtitle("Mean correlation by decile") +
xlab("Decile 1") +
theme_classic()
