То, как делают меня края цвета или тянут, реагирует правильно в древовидной схеме R?

Question

То, как делают меня края цвета или тянут, реагирует правильно в древовидной схеме R?

Вы можете использовать __slots__ трюк .

Будет значительная разница в использовании памяти (от 40 до 50%).

class MyClass(object):
    __slots__ = ['name', 'identifier']
    def __init__(self, name, identifier):
        self.name = name
        self.identifier = identifier

8

hclust dendrogram edge-detection r

задан TylerH 3 March 2019 в 20:13

1 ответ

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hclust dendrogram edge-detection r

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score 2 · Accepted Answer

So you've actually asked about five questions (5 +/- 3). As far as writing your own rect.hclust like function, the source is in library/stats/R/identify.hclust.R if you want to look at it.

I took a quick glance at it myself and am not sure it does what I thought it did from reading your description--it seems to be drawing multiple rectangles, Also, the x selector appears to be hard coded to segregate the tags horizontally (which isn't what you want and there's no y).

I'll be back, but in the meantime you might (in addition to looking at the source) try doing multiple rect.hclust with different border= colors and different h= values to see if a failure pattern emerges.

Update

I haven't had much luck poking at this either.

One possible kludge for the clipping would be to pad the labels with trailing spaces and then bring the edge of your rectangle in slightly (the idea being that just bringing the rectangle in would get it out of the clipping zone but overwrite the ends of the labels).

Another idea would be to fill the rectangle with a translucent (low alpha) color, making a shaded area rather than a bounding box.