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plotly.R
\
name
{
plot_dendro
}
\
alias
{
plot_dendro
}
\
title
{
Plot
an
interactive
dendrogram
}
\
usage
{
plot_dendro(
d
,
set
=
"
A
"
,
xmin
=
-
50
,
height
=
500
,
width
=
500
,
...
)
}
\
arguments
{
\
item
{
d
}{
a
dendrogram
object
}
\
item
{
set
}{
defines
a
crosstalk
group
}
\
item
{
xmin
}{
minimum
of
the
range
of
the
x
-
scale
}
\
item
{
height
}{
height
}
\
item
{
width
}{
width
}
\
item
{
...
}{
arguments
supplied
to
\
code
{\
link
[
=
subplot
]{subplot()}}}
}
\
description
{
This
function
takes
advantage
of
nested
key
selections
to
implement
an
interactive
dendrogram.
Selecting
a
node
selects
all
the
labels (
i.e.
leafs
)
under
that
node.
}
\
examples
{
\
dontshow
{
if
(interactive()
||
!
identical(
.Platform
$
OS.type
,
"
windows
"
)) withAutoprint(\{
#
examplesIf}
\
dontrun
{
hc
<-
hclust(dist(
USArrests
),
"
ave
"
)
dend1
<-
as.dendrogram(
hc
)
plot_dendro(
dend1
,
height
=
600
) \%
>
\%
hide_legend() \%
>
\%
highlight(
persistent
=
TRUE
,
dynamic
=
TRUE
)
}
\
dontshow
{\})
#
examplesIf}
}
\
seealso
{
\
code
{\
link
[
=
plot_ly
]{plot_ly()}}, \
code
{\
link
[
=
plot_mapbox
]{plot_mapbox()}}, \
code
{\
link
[
=
ggplotly
]{ggplotly()}}
}
\
author
{
Carson
Sievert
}
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