Nothing
library(RKorAPClient)
library(highcharter)
library(tidyverse)
QUERIES <- c("[tt/l=verunfallen]", "Sonnabend") # search in treetagger lemma annotations
COUNTRIES <- c("AT", "BE", "CH", "DE", "IT", "LU")
VCS <- sprintf("textType=/Zeit.*/ & pubPlaceKey=%s", COUNTRIES) # limit virtual corpus to newspapers and magazines
df <- new("KorAPConnection", verbose=TRUE) %>%
frequencyQuery(QUERIES, vc=VCS) %>%
ipm() %>%
mutate(country = rep(COUNTRIES, length(QUERIES)))
hc_add_series_with_errorbar <- function(hc, data) {
for (g in unique(data$country)) {
df <- data %>% filter(country == g)
hc <-
hc %>%
hc_add_series(type = "column", data = df, hcaes(group = country, x = query, y = ipm)) %>%
hc_add_series(type = "errorbar",
data = df,
stemWidth = 1,
whiskerWidth = 1,
whiskerLength = 10, hcaes(low = conf.low, high = conf.high)
)
}
hc
}
hc <- highchart() %>%
hc_add_theme(hc_theme_smpl()) %>%
hc_yAxis(title=list(text = "IPM"), type = "logarithmic") %>%
hc_add_series_with_errorbar(data = df) %>%
hc_add_onclick_korap_search() %>%
hc_xAxis(categories = QUERIES) %>%
hc_legend(enabled = TRUE) %>%
hc_title(text = "Relative frequency by country of publication") %>%
hc_caption(text= "Click on a bar to launch the respectively corresponding KorAP query.")
print(hc)
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