Double counting in sund2b

[monicarajamanohar]

Hi,
I was trying to execute the following and I found that sund2b double counts the pre-summed tree. In sunburst, there is an option sumNode = FALSE to avoid double counting of presummed trees.
How can I do the same with sund2b?
Thanks
Monica

library(treemap)
library(d3r)
rhd <- random.hierarchical.data()
tm <- treemap(
rhd,
index = paste0("index", 1:3),
vSize = "x",
draw = FALSE
)$tm
sund2b(
d3_nest(tm, value_cols = colnames(tm)[-(1:3)]),
colors = htmlwidgets::JS(
# yes this is a little different, so please pay attention
# "function(d) {return d.color}" will not work
"function(name, d){return d.color || '#ccc';}"
),
valueField = "vSize"
)

[timelyportfolio]

Hi @monicarajamanohar I think this was fixed in d2b d2bjs/d2b@134079a. I will plan to update d2b tonight.

[timelyportfolio]

@monicarajamanohar I updated d2b, and I believe it is fixed. Using the example from #62,

library(sunburstR)
library(d3r)

df <- data.frame(
  index1 = c(rep("A",3),"B"),
  index2 = c(NA,"A.1","A.1",NA),
  index3 = c(NA, NA, "A.1.1", NA),
  size = c(5,5,5, 10),
  stringsAsFactors = FALSE
)

sunburst(
  d3_nest(df, value_cols="size"),
  count = TRUE
)

sund2b(d3_nest(df, value_cols="size"))

I will try to prepare a CRAN release by the end of the weekend.

[monicarajamanohar]

Thank you for the prompt response. I will wait for the CRAN release

[monicarajamanohar]

Any luck updating the CRAN?

[timelyportfolio]

@monicarajamanohar just submitted so we'll see if it gets approved

[timelyportfolio]

@monicarajamanohar this was accepted last night on CRAN. Please let me know once you get a chance to test.

[monicarajamanohar]

I checked and it works beautifully!!! Thank you for giving such a quick resolution :D. I will close the issue now.