First, you should load recharts:

library(recharts)

1 Introduction

Tree chart includes 4 basic types:

Horizontal tree
Inverse horizontal tree
Vertical tree
Inverse vertical tree

The keys are:

character x with at least 2 columns: x[,1] are the nodes of the trees, x[,2] are parent nodes of the tree nodes. For root nodes, parent should be NA.
numeric y
facet is used to produce separate trees

2 Function Call

echartr(data, x, <y>, <series>, <facet>, <t>, <type>, <subtype>)

Arg	Requirement
data	source data in the form of data.frame
x	character independent variable. Each level of `x` is treated as a data series. Other type will be coerced to factors. Only the first two are accepted if multiple variables are provided: 1st one as nodes, 2nd one as parent nodes.
y	numeric dependent variable. Only the first one is accepted if multiple variables are provided.
series	series variable which will be coerced to factors. Each level of `series` is treated as a grouping factor. Only the first one is accepted if multiple variables are provided.
facet	facetting variable which will be coerced to factors. Each level of `facet` is treated as a subsetting factor to produce separate trees. Only the first one is accepted if multiple variables are provided.
t	timeline variable which will be coerced to factors. Only the first one is accepted if multiple variables are provided.
type	‘tree’/‘vtree’, ‘tree_inv’/‘vtree_inv’, ‘htree’, ‘htree_inv’.
subtype	tree: c(“curve”,“broken”,“dotted”,“dashed”,“solid”) curve: nodes are connected by curve broken: nodes are connected by broken lines dotted: the connection lines are dotted solid: the connection lines are solid dashed: the connection lines are dashed tree_inv: c(“curve”,“broken”,“dotted”,“dashed”,“solid”) htree: c(“curve”,“broken”,“dotted”,“dashed”,“solid”) htree_inv: c(“curve”,“broken”,“dotted”,“dashed”,“solid”)

3 Showcase

3.1 Data Preparation

Let’s prepare a data.frame to show the typical structure.

data <- data.frame(
    node=c('North America', 'USA', 'Canada', 'California', 'New York', 
           'Massachusetts', 'Quebec', 'Ontario', 'South America',
           'Brazil', 'Argentina', 'Rio de Jeneiro', 'Sao Paolo', 'Buenos Aires',
           'Mendosa'),
    parent=c(NA, rep('North America', 2), rep('USA', 3), rep('Canada', 2),
             NA, rep('South America', 2), rep('Brazil', 2), rep('Argentina', 2)),
    series=c(rep('Tree 1', 8), rep('Tree 2', 7)),
    value=rep(1, 15))
knitr::kable(data)

node	parent	series	value
North America	NA	Tree 1	1
USA	North America	Tree 1	1
Canada	North America	Tree 1	1
California	USA	Tree 1	1
New York	USA	Tree 1	1
Massachusetts	USA	Tree 1	1
Quebec	Canada	Tree 1	1
Ontario	Canada	Tree 1	1
South America	NA	Tree 2	1
Brazil	South America	Tree 2	1
Argentina	South America	Tree 2	1
Rio de Jeneiro	Brazil	Tree 2	1
Sao Paolo	Brazil	Tree 2	1
Buenos Aires	Argentina	Tree 2	1
Mendosa	Argentina	Tree 2	1

The tree structure is defined by the mapping of nodes and parents.

There are two series ‘Tree 1’ and ‘Tree 2’, so we will see two trees.
- In the series ‘Tree 1’, we see ‘North America’ has NA parent node. So ‘North America’ will be the root node of this tree.
  - Below the root, we see 2 levels in parents nodes: ‘USA’ and ‘Canada’. So ‘Tree 1’ tree will contain 2 level-1 nodes under the root ‘North America’.
    - There are 3 nodes with ‘USA’ as parent: ‘California’, “New York” and “Massachusetts”
    - There are 2 nodes with ‘Canada’ as parent: ‘Ontario’ and ‘Quebec’

3.2 Tree Chart

3.2.1 Single Tree

type is set ‘tree’.

echartr(data[data$series=='Tree 1',], c(node, parent), value, type='tree') %>%
    setTitle('Single Tree')

3.2.2 Multiple Trees

If you assign series with a valid data structure, you yield multiple trees. But Echarts does not map series with legend and color well. So you need to color the trees separately.

echartr(data, c(node, parent), value, facet=series, type='tree') %>%
    setTitle('Multiple Trees')

3.3 Inverse Tree Chart

Set type ‘tree_inv’. Here you can test subtypes.

echartr(data, c(node, parent), value, facet=series, type='tree_inv',
        subtype='broken') %>% setTitle('tree_inv')

3.4 Horizontal Tree

Set type ‘htree’.

echartr(data, c(node, parent), value, facet=series, type='htree', 
        subtype='broken + dashed') %>% setTitle('htree')

3.5 Inverse Horzontal Tree

Set type ‘htree_inv’.

echartr(data, c(node, parent), value, facet=series, type='htree_inv', 
        subtype='broken + dotted') %>% setTitle('htree_inv')

4 Futher Setup

Then you can configure the widgets, add markLines and/or markPoints, fortify the chart.

You can refer to related functions to play around on your own.

Basic Plots 32 - Tree Chart