Wenbin Guo comments

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                                            Wenbin Guo

misalignment between the chart and the risk table in ggsurvplot

I saw the same issue with ggplot2 3.5.0, rollbacking to ggplot2 3.4.3 **temporarily** solved the problem. Any plan to fix this issue to accommodate 3.5.0 ?

stat_cor() - Label position not consistent across plots

**TL;DR**: It might be related to the facet variable type (factor) -------- I came across the same phenomenon when using `stat_cor()` with `facet_wrap()`. The above threads suggest `inherit.aes = FALSE`...

A little suggestion about the "addPval"

Hi, nice thread, Is it possible to show the actual p-value? currently, it seems only support showing a range (< 0.001) Thanks

UnicodeDecodeError on Windows system

The issue is not windows-specific. I got the same error on Ubuntu 20.04.4 LTS. rpy2 version '3.5.15'.

multi-thread

I used k=19. I found an alternative solution for using jellyfish, and a benchmark [paper](https://academic.oup.com/gigascience/article/7/12/giy125/5140149) for k-mer counting methods, hope this helps!

Error: kallisto index file not found kallisto_index

Hi @adinanadeem, I did not try to solve it.

Nested tibble containing large lists can make rmarkdown slow and generate huge html file

@cderv , Hi, thanks for the support, may I ask if there is an option to increase the 10,000 limit to a larger number? > Note: There is a hard...

FR: show exact p-value instead of "P<0.001" for small p-values in `stat_correlation()`, `stat_poly_eq()` and `stat_ma_eq()` and `stat_multcomp()`

This can be achieved by manually setting the label with `sprintf()` ``` mpg %>% ggplot(aes(x = cty, y = hwy)) + geom_point() + geom_smooth() + stat_correlation(aes(label = sprintf("R=%.4g, P=%.3g", after_stat(cor),...

FR: show exact p-value instead of "P<0.001" for small p-values in `stat_correlation()`, `stat_poly_eq()` and `stat_ma_eq()` and `stat_multcomp()`

Hi, thanks for the comment, this is understandable. Although I have a different opinion on the following comment > "in most circumstances differences among very small p-values are not informative."...

FR: show exact p-value instead of "P<0.001" for small p-values in `stat_correlation()`, `stat_poly_eq()` and `stat_ma_eq()` and `stat_multcomp()`

Hi @aphalo , Thank you very much for your attention and efforts on this Feature request! The current implementation should be adequate for most cases :+1: --- > what I...