I'm trying to make a incremental list with the xaringan package, however a bunch of bullet appears all together. Here is the visual example:
In this example, when I click once, element 1 appears like planned. When I click the second time, both element 2 and 3 and the -- appears. Then I click a third time to have the 4th element appears.
This is the code I used:
---
title: "Incremental Slides with xaringan / remark.js"
author: "Yihui Xie"
date: "2017/08/31"
output:
xaringan::moon_reader:
lib_dir: libs
nature:
countIncrementalSlides: false
---
# test 1
Two dash incremental fails in long list
a simple list
--
- element 1 works
--
- element 2 triggers element 3
--
- element 3 appears too early
--
- element 4
---
It's actually really basic and I don't understand why it's failing. At first I thought it was linked with hierarchical bullets:
- el1
--
- el2
--
- el3
- ela
--
- el4
As my problem seems to appears only in those cases. However, I've tried again with another brand new example:
---
title: "Presentation Ninja"
subtitle: "⚔<br/>with xaringan"
author: "Yihui Xie"
institute: "RStudio, Inc."
date: "2016/12/12 (updated: `r Sys.Date()`)"
output:
xaringan::moon_reader:
lib_dir: libs
nature:
highlightStyle: github
highlightLines: true
countIncrementalSlides: false
---
blabla
- a
--
- b
--
- c
--
- d
which also gave me the wrong output:
Did I miss something? Is it my setup or other people can reproduce the problem?
I have Rstudio version : 1.2.1335
and my session info:
sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows Server x64 (build 14393)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] compiler_3.5.1 htmltools_0.3.6 tools_3.5.1 xaringan_0.9.3 yaml_2.2.0 Rcpp_1.0.1 rmarkdown_1.12 knitr_1.22 xfun_0.6
[10] digest_0.6.18 evaluate_0.13
