complex-upset

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Cannot set custom y-label in 'inclusive_intersection' mode

2

Referring to the solution you provided in Issue #30 I've attached an example below, where I try setting the y axis label to "Test size", but the label name stays...

sharathkmenon

The performance of manually specified intersections is not as good as it could be, and was degraded since #109 (which however, was needed as that fix corrects behaviour and protects...

krassowski

It's time to make the experience smoother for user when working with different related packages. See https://twitter.com/Lluis_Revilla/status/1337436516004605952

krassowski

group by a column

4

I have data with a group column as follows; ``` str(category) A B C D E F G H cluster 1: 0 0 0 0 1 1 0 1 10...

akhst7

Using 'base_annotation' overrides the mode = "inclusive_intersection" arguments

4

Extremely sorry if I am doing something wrong here, I am new to ggplot and general graphing in R. I want to generate plots with inclusive intersections and I want...

sharathkmenon

upset_query to highlight any set that intersects with a given subset of variables

4

Hi Michael, Thanks for creating such a great package. I'm trying to create an upset_query that will check if a given set contains one of a subset of my variables,...

mathzero

I would like to be able to make the upset quicker by not having to compute the names of the groups. For exmaple, given the movies data frame subset: ```R...

krassowski

Large memory use for very large datasets (10^9 observations)

1

Hello, Not sure it's an issue actually, I mean that I don't know if there is something that can be done about this but: I tried with a combination matrix...

ghost

This could be something adapting the patchwork semantics, like: ```R ( upset(movies, genres) / inter_property(aes(y=budget, color=length), geom='point') + scale_color_continuous(name='Movie length') / inter_size() / (group_size() | inter_matrix()) & query_iter(c('Drama', 'Comedy'), color='red',...

krassowski

The docs should have some real life examples to make the start easier for less experienced R/Python users (and for myself when I forget to use `pivot_table` instead of `pivot`...

krassowski