Drop support for orphaned plotly package
Change-Id: I59e5339c613fc1eef89bb81afc0c260e2f60ed16
diff --git a/demo/alternativesOverTime.R b/demo/alternativesOverTime.R
index eb85ac8..07019bd 100755
--- a/demo/alternativesOverTime.R
+++ b/demo/alternativesOverTime.R
@@ -4,8 +4,6 @@
#
library(RKorAPClient)
library(ggplot2)
-library(plotly)
-library(htmlwidgets)
alternativesOverTime <- function(alternatives, years, kco = new("KorAPConnection", verbose=TRUE)) {
df <- expand_grid(Variant = alternatives, year = years) %>%
@@ -16,8 +14,7 @@
ggtitle(paste0(alternatives, collapse = " vs. ")) +
xlab("TIME") +
ylab(sprintf("Observed frequency ratio"))
- ppp <- RKorAPClient::ggplotly(g)
- print(ppp)
+ print(g)
df
}
diff --git a/demo/conditionsOverTime.R b/demo/conditionsOverTime.R
index b23d2bf..ccd5592 100644
--- a/demo/conditionsOverTime.R
+++ b/demo/conditionsOverTime.R
@@ -6,7 +6,6 @@
#install_git("https://korap.ids-mannheim.de/gerrit/KorAP/RKorAPClient", upgrade="never")
library(RKorAPClient)
library(ggplot2)
-library(plotly)
conditionsOverTime <- function(query, conditions, years, kco = new("KorAPConnection", verbose = TRUE)) {
g <- expand_grid(condition = conditions, year = years) %>%
@@ -17,8 +16,7 @@
xlab("TIME") +
labs(color="Virtual Corpus", fill="Virtual Corpus") +
ylab(sprintf("Observed frequency/million of \u201c%s\u201d", query))
- p <- RKorAPClient::ggplotly(g)
- print(p)
+ print(g)
}
conditionsOverTime("[tt/l=Heuschrecke]", c("textClass = /natur.*/", "textClass=/politik.*/", "textClass=/wirtschaft.*/"), (2002:2018))
diff --git a/demo/frequenciesOverTime.R b/demo/frequenciesOverTime.R
index 56b576f..aadd0d2 100644
--- a/demo/frequenciesOverTime.R
+++ b/demo/frequenciesOverTime.R
@@ -4,7 +4,6 @@
#
library(RKorAPClient)
library(ggplot2)
-library(plotly)
freqPerYear <- function(query, kco = new("KorAPConnection", verbose = TRUE)) {
g <- data.frame(year = 2000:2018) %>%
@@ -15,8 +14,7 @@
geom_freq_by_year_ci() +
xlab("TIME") +
ylab(sprintf("Observed frequency/million of \u201c%s\u201d", query))
- p <- RKorAPClient::ggplotly(g)
- print(p)
+ print(g)
df
}
#df <- freqPerYear("Car-Bikini")
diff --git a/demo/regional.R b/demo/regional.R
index 05a3b6d..9480d67 100755
--- a/demo/regional.R
+++ b/demo/regional.R
@@ -3,7 +3,6 @@
library(ggplot2)
library(raster)
library(broom)
-library(plotly)
library(htmlwidgets)
devAskNewPage(ask = FALSE)
@@ -58,14 +57,8 @@
}
}
plot <- updatePlot(query, map, regions)
- pp <- ggplotly(plot)
- for (i in 1:nrow(regions)) {
- j <- grep(paste0(regions$region[i], "\""), pp$x$data, perl=TRUE)
- pp$x$data[[j]]$customdata <- regions[i,]$url
- }
- ppp <- onRender(pp, "function(el, x) { el.on('plotly_click', function(d) { var url=d.points[0].data.customdata; window.open(url, 'korap') })}")
- print(ppp)
- pp
+ print(plot)
+ plot
}
updatePlot <- function(query, map, regions) {