Highcharts plot multiple series without multiple hc_add_series

General
1

Hello everyone,

Most of the time I user highcharter library to plot specific amount of time-series this way:

highchart() %>% 
hc_add_series(name = "DF Column name", data = df$VALUE, color = ... ) %>%
hc_add_series(name = "DF Column name2", data = df$VALUE2, color = ... )

Sometimes however I don't know the amount of columns and their names in data frame - e.g. when the data frame is a result of dcast() function.
I would like the library to plot all of the columns, set series name as column names and assign colors from a default color-order pallette.
It is easily done using dygraphs library where I decide whether I want to specify the series myself or I want the library to do this for me:

toPlotTestData <- xts(testDataResult[,2:4], order.by = testDataResult[, 1], tzone = "GMT")
dygraph(toPlotTestData, main = "Title")

vs

toPlotTestData <- xts(testDataResult[,2:4], order.by = testDataResult[, 1], tzone = "GMT")
dygraph(toPlotTestData, main = "Title") %>% 
dySeries("COL1", label="COL1", axis = 'y', color = "blue") %>%
dySeries("COL2", label="COL2", axis = 'y', color = "orange")

Is it also possible in highcharter?
Any help appreciated.

2

You can refer to the link
https://dantonnoriega.github.io/ultinomics.org/post/2017-04-05-highcharter-explainer.html

There are many ways.

  1. hcaes()
  2. hchart() with tidy data.
2 Likes
3

Thank you for the link! It is a very good article showing how to use Highcharts documentation to create charts in R/Shiny.

It appears that while dygraphs library needs data in "wide" format, highcharter needs melted data ("long" format) to create dynamic number of plots.
Below is the solution I started to use after reading the article:

  • using reshape2::melt function as opposed to tidyr::gather suggested in the article
  • with datetime x axis as opposed to categories
require(reshape2)

output$plot <- renderHighchart({
      dataMelted <- melt(data, id=c("DAY"), value.name="VALUES", variable.name="PARAMS")
      dataMelted$DAY <- datetime_to_timestamp(dataMelted$DAY)
      hchart(dataMelted, type = 'line', hcaes(y = VALUES, group = PARAMS, x = DAY)) %>% 
        hc_xAxis(type = "datetime") 
})
4

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5

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