parallel_plot {visachartR} | R Documentation |
parallel_plot
Description
R wrapper for @visa/parallel-plot via htmlwidgets.
Here is an example of parallel-plot in action:
Usage
parallel_plot(
data,
ordinalAccessor,
valueAccessor,
seriesAccessor,
mainTitle = "",
subTitle = "",
accessibility = list(),
props = list(),
...
)
Arguments
data |
required to be a valid, R data frame. Data used to create chart, an array of objects which includes keys that map to chart accessors. |
ordinalAccessor |
String. Key used to determine line's categorical property. (similar to x in ggplot) |
valueAccessor |
String. Key used to determine line's numeric property. (similar to y in ggplot) |
seriesAccessor |
String. Key used to determine series (e.g., color/texture). |
mainTitle |
String. The dynamic tag of title for the map (or you can create your own separately). See |
subTitle |
String. The dynamic tag for a sub title for the map (or you can create your own separately). See |
accessibility |
List(). Manages messages and settings for chart accessibility, see object definition |
props |
List(). A valid R list with additional property configurations, see all props for @visa/parallel-plot |
... |
All other props passed into the function will be passed through to the chart, see all props for @visa/parallel-plot. |
Details
To see all available options for the chart properties/API see @visa/parallel-plot.
Value
a visaChart htmlwidget object for plotting a parallel plot
Examples
library(dplyr)
ChickWeight %>%
filter(Chick==1 | Chick == 4) %>%
parallel_plot("Time", "weight", "Chick",
showBaselineX=FALSE,
xAxis=list(label="Time",format="0a", visible=TRUE),
yAxis=list(label="Weight", visible=FALSE, gridVisible=FALSE),
mainTitle = "Selected chick weight over time",
dataLabel=list(visible = TRUE,
labelAccessor = "weight",
placement = "bottom-right",
format = "0a"))