The streamgraph
package offers several options to
control the color palette in use. Both R Color Brewer and custom
color palette are supported.
The streamgraph
package offers a few options to customize
the chart color:
scale_fill_brewer()
: use one of the
R ColorBrewer palette, both continuous and categorical.
scale_fill_manual()
: buid a custom color palette: just
provide a vector containing the chosen colors.
Note: you can save the chart as a html file using the
saveWidget()
function of the
htmlwidgets
package, as suggested in the commented code
below.
# Library
library(streamgraph)
# Create data:
data <- data.frame(
year=rep(seq(1990,2016) , each=10),
name=rep(letters[1:10] , 27),
value=sample( seq(0,1,0.0001) , 270)
)
# Graph 1: choose a RColorBrewer palette -> continuous
p1 <- streamgraph(data, key="name", value="value", date="year",
width="400px", height="300px"
) %>%
sg_fill_brewer("Blues")
# Graph 2: choose a RColorBrewer palette -> categorical
p2 <- streamgraph(data, key="name", value="value", date="year",
width="400px", height="300px"
) %>%
sg_fill_brewer("Pastel1")
# Graph 3: choose color manually with number, color name, rgb ...
p3 <- streamgraph(data, key="name", value="value", date="year" ,
width="400px", height="300px"
) %>%
sg_fill_manual(c(1:10))
# save the widget
# library(htmlwidgets)
# saveWidget(p1, file=paste0( getwd(), "/HtmlWidget/streamgraphColor1.html"))
# saveWidget(p2, file=paste0( getwd(), "/HtmlWidget/streamgraphColor2.html"))
# saveWidget(p3, file=paste0( getwd(), "/HtmlWidget/streamgraphColor3.html"))