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A library for creating complex UpSet plots with ggplot2 geoms

Results 68 complex-upset issues
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**Objective** Reduce the file size of the .eps UpSet figure produced in R. **Code** ```R upset( M1_BinaryMatrix, colnames(M1_BinaryMatrix), sort_intersections_by='ratio', intersections='all', min_degree=2, set_sizes=( upset_set_size(position='right') + geom_text(aes(label=paste0(round((..count../nrow(M1_BinaryMatrix))*100), '%')), hjust=1.1, stat='count', color='white') +...

help-request

The size of the bars in the intersection chart do not match their percentage value. For example, the 15% bar > 26% bar. How can you change this? ``` upset(...

help-request

How to display intersection size as percentage of total rows? ``` upset( head(M1_BinaryMatrix, 1000), colnames(M1_BinaryMatrix), name="", mode="inclusive_intersection", set_sizes=( upset_set_size(position='right') + geom_text(aes(label=paste0(round((..count../1000)*100), '%')), hjust=1.1, stat='count', color='white') + expand_limits(y=1000) + ylab("") +...

help-request

Why do I get the error message: `Removed 58539 rows containing missing values (`position_stack()`).` When the matrix looks like this: ![image](https://user-images.githubusercontent.com/98951777/210177920-93ce9169-c5f3-44f6-af1b-810c5ac8e1b1.png) Hence, there are no missing values.

potential-bug

I have a data set with 10 M rows, is there a way to speed up `upset()`?

help-request

How can I change the labels "Set size" and "Intersection size" into something custom? ``` upset(data = head(file, 100), intersect = colnames(file), name="", width_ratio = 0.125, ylab="",) + labs(title =...

documentation
help-request

Hello, 1 I want to know how to change the point size and line size. where is this code in upset? In UpSet package, this can be applied by change...

enhancement

**Describe the bug** Hey, I have used Upset Plot before and it produced exactly like in the documentation. But, I tried to do it again and it gave me this...

potential-bug

I am using complexUpset to compare large groups of genes for overlaps. For a specific analysis, it would be great if I could define one or two groups (eg groups...

enhancement