factor type)‘species’ column is of factor type and has box representation for its categories.
refColumnDim argument (referenced column is
categorical)Each trace has a color depending of its ‘species’ value.
categoricalCS argumentColors used for categories are not the same as previously (supported
values: Category10, Accent,
Dark2, Paired, Set1).
refColumnDim argument (referenced column is
continuous)Each trace has a color depending of its ‘Sepal.Length’ value.
continuousCS argumentColors used for lines are not the same as previously. Supported
values: Viridis, Inferno, Magma,
Plasma, Warm, Cool,
Rainbow, CubehelixDefault, Blues,
Greens, Greys, Oranges,
Purples, Reds, BuGn,
BuPu, GnBu, OrRd,
PuBuGn, PuBu, PuRd,
RdBu, RdPu, YlGnBu,
YlGn, YlOrBr, YlOrRd
factor type)Several columns are of numerical type but should be of factor type
(for example cyl).
categorical argumentcategorical <- list(cyl = c(4, 6, 8), vs = c(0, 1), am = c(0, 1), gear = 3:5, carb = 1:8)
parallelPlot(mtcars, categorical = categorical, refColumnDim = "cyl")cyl and four last columns have a box representation for
categories.
categoriesRep argumentcategorical <- list(cyl = c(4, 6, 8), vs = c(0, 1), am = c(0, 1), gear = 3:5, carb = 1:8)
parallelPlot(
mtcars,
categorical = categorical,
refColumnDim = "cyl",
categoriesRep = "EquallySizedBoxes"
)Within a category column, the height assigned to each category can
either be equal for each category (EquallySizedBoxes) or
calculated to reflect the proportion of lines passing through each
category (EquallySpacedLines).
arrangeMethod argumentcategorical <- list(cyl = c(4, 6, 8), vs = c(0, 1), am = c(0, 1), gear = 3:5, carb = 1:8)
parallelPlot(
mtcars,
categorical = categorical,
refColumnDim = "cyl",
arrangeMethod = "fromLeft"
)Within a category box, the position of lines is computed to minimize
crossings on the left of the box. arrangeMethod can also be
set to fromRight to minimize crossings on the left of the
box (default behavior). fromBoth allows to merge the two
behaviors (see next example). To turn this ordering off (for example for
performance reasons), arrangeMethod can also be set to
fromNone.
arrangeMethod argument (using
fromBoth)categorical <- list(cyl = c(4, 6, 8), vs = c(0, 1), am = c(0, 1), gear = 3:5, carb = 1:8)
parallelPlot(
mtcars,
categorical = categorical,
refColumnDim = "cyl",
arrangeMethod = "fromBoth"
)Within a category box, lines have an incoming point and an outgoing point; these points are ordered to minimize crossings on the left and on the right of the box.
inputColumns argumentcategorical <- list(cyl = c(4, 6, 8), vs = c(0, 1), am = c(0, 1), gear = 3:5, carb = 1:8)
inputColumns <- c("mpg", "disp", "drat", "qsec", "am", "gear", "carb")
parallelPlot(
mtcars,
categorical = categorical,
inputColumns = inputColumns,
refColumnDim = "cyl"
)The column name is blue for outputs and green for inputs (in shiny mode, inputs can be edited).
histoVisibility argumentAn histogram is displayed for each column.
invertedAxes argumentAxis of second column is inverted (a sign ‘↓’ is added at the beginning of the column header).
cutoffs argumenthistoVisibility <- names(iris) # same as `rep(TRUE, ncol(iris))`
cutoffs <- list(Sepal.Length = list(c(6, 7)), Species = c("virginica", "setosa"))
parallelPlot(iris, histoVisibility = histoVisibility, cutoffs = cutoffs)Lines which are not kept by cutoffs are shaded; an histogram for each column is displayed considering only kept lines.
refRowIndex argumentAxes are shifted vertically in such a way that first trace of the dataset looks horizontal.
rotateTitle argumentColumn names are rotated (can be useful for long column names).
columnLabels argumentcolumnLabels <- gsub("\\.", "<br>", colnames(iris))
parallelPlot(iris, refColumnDim = "Species", columnLabels = columnLabels)Given names are displayed in place of column names found in dataset;
<br> is used to insert line breaks.
cssRules argumentparallelPlot(iris, cssRules = list(
"svg" = "background: #C2C2C2", # Set background of plot to grey
".axisLabel" = c("fill: red", "font-size: 1.8em"), # Set title of axes red and greater
".tick text" = "font-size: 1.8em", # Set text of axes ticks greater
".plotGroup path" = "opacity: 0.25", # Make lines less opaque
".xValue" = "color: orange", # Set color for x values in tooltip
".xName" = "display: table" # Trick to have x values on a new line
))Apply CSS to the plot. CSS is a simple way to describe how elements on a web page should be displayed (position, color, size, etc.). See the page Styling ‘parallelPlot’ for more details.