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summarytrees_htmlwidget

2016-06-20 17:14 411 查看

I feel obligated to mention this again. If you want to get a preview of the exciting changes for

htmlwidgets

, be sure to check out

htmlwidgets

issue
86. Thanks to Joe Cheng from RStudio for taking the lead on this.

We can see some early examples with

plotly

from early adopter Andrew
Clark @pssguy.

This Week’s Widget - summarytrees_htmlwidget

Kenneth Shirley and Howard Karloff authored an interesting paper.

(2013). Howard Karloff and Kenneth E. Shirley. “Maximum Entropy Summary Trees”, Computer Graphics Forum (Proc. EuroVis), Volume 32, Issue 3, Part 1, pp. 71-80.

Subsequently, Kenny made an

package

summarytrees

to
create and visualize these summary trees. I learned about the R/d3.js combination after Kenny’s presentation
at JSM 2015. Similar to the

htmlwidget

conversions of

stmBrowser

and

stmCorrViz

,
I thought

summarytrees

would also be a great candidate for an

htmlwidget

.

This is a work in progress. Please offer feedback and ideas on this Github issue.

Installation

This is not on CRAN and only exists in a

summarytrees

fork, so to install we will need some help from

devtools::install_github

devtools::install_github("timelyportfolio/summarytrees@htmlwidget")

Examples

# devtools::install_github("timelyportfolio/summarytrees@htmlwidget")

library(summarytrees)
data(dmoz)

#use example from vignette
K <- 100
g <- greedy(node = dmoz[, "node"],
parent = dmoz[, "parent"],
weight = dmoz[, "weight"],
label = dmoz[, "label"],
K = K)

# Prepare the summary trees for visualization:
json <- prepare.vis(tree.list = g$summary.trees,
labels = g$data[, "label"],
tree = g$tree,
legend.width = 150,
node.width = 225,
node.height = 14,
units = "# of URLs",
print.weights = TRUE,
legend.color = "lightsteelblue",
color.level = 3)
summarytrees_htmlwidget(json)

## [1] "Running order.nodes() function to prepare data"
## [1] "  Computing node levels"
## [1] "  Computing child indices for each parent"
## [1] "Running C function to compute summary trees"
## [1] "Computation finished; now formatting output"

Thanks

Thanks Kenneth Shirley for the research and implementation of

summarytrees

.

As always, thanks to

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