blob: 00306cde4b6c9bf91a003a6cf68dec44261d5e65 [file] [log] [blame]
#!/usr/bin/env Rscript
#
# Plot proportions of alternative expressions or spellings variants over time
#
library(RKorAPClient)
library(ggplot2)
library(plotly)
library(htmlwidgets)
alternativesOverTime <- function(alternatives, years, kco = new("KorAPConnection", verbose=TRUE)) {
df <- expand_grid(Variant = alternatives, year = years) %>%
cbind(corpusQuery(kco, .$Variant, sprintf("textType = /Zeit.*/ & pubDate in %d", .$year))) %>%
group_by(year) %>% mutate(tokens = sum(totalResults)) %>%
ci()
g <- ggplot(data = df, mapping = aes(x = year, y = f, color = Variant, fill = Variant)) +
geom_ribbon(aes(ymin = conf.low, ymax = conf.high, color = Variant, fill = Variant), alpha = .3, linetype = 0) +
geom_line() +
geom_point() +
ggtitle(paste0(alternatives, collapse = " vs. ")) +
xlab("TIME") +
ylab(sprintf("Observed frequency ratio")) +
theme(axis.text.x = element_text(angle = 45, hjust = 1)) + scale_x_continuous(breaks = unique(df$year))
pp <- ggplotly(g, tooltip = c("x", "y"))
for (i in 1:length(alternatives)) {
vdata <- df[df$Variant == alternatives[i],]
pp$x$data[[2+i]]$customdata <- vdata$webUIRequestUrl
pp$x$data[[2+i]]$text <- sprintf("%s<br />absolute: %d / %d", pp$x$data[[2+i]]$text, vdata$totalResults, vdata$tokens)
}
ppp <- onRender(pp, "function(el, x) { el.on('plotly_click', function(d) { var url=d.points[0].customdata; window.open(url, 'korap') })}")
print(ppp)
df
}
df <- alternativesOverTime(c('so "genannte.?"', '"sogenannte.?"'), (1995:2018))