Error Information:
Error in packageVersion("yaml") : package 'yaml' not found
Calls: ... parse_yaml_front_matter -> yaml_load_utf8 -> packageVersion
Execution halted
Description of issue
Previously, I have used RStudio with RMarkdown on both Windows 7 and Ubuntu Linux (desktop and server) with no problems. However, for teaching purposes I am now setting these tools up on Windows 10 with the new versions of R and an upgraded RStudio.
However, now I get this error message, when I knit the RStudio IDE default RMarkdown document to HTML. The same issue if I try with the RStudio IDE default notebook document.
Also, the package versions are not visible in the RStudio IDE "Packages" for the packages "evaluate" and "yaml", but for all other packages.
Steps taken so far -
"Run All" before knit to HTML gives no error and does not help.
Re-installing yaml and evaluate does not help.
Library() confirms that the yaml and evaluate packages are installed in the default user library.
The package versions are visible from the RStudio IDE "Console":
packageVersion("yaml")
[1] ‘2.2.0’
packageVersion("evaluate")
[1] ‘0.11’
Switching back to R version 3.4.3 gives a different error that can be resolved with self_contained: no in the YAML header
output:
html_document:
self_contained: no
System Information:
- RStudio Edition: Desktop
- RStudio Version: 1.1.383
- OS Version: Windows 10 Pro, Version 1803, build 17134.191
- R Version: 3.5.1 (2018-07-02)
sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
Matrix products: default
locale:
[1] LC_COLLATE=English_United Kingdom.1252 LC_CTYPE=English_United Kingdom.1252 LC_MONETARY=English_United Kingdom.1252
[4] LC_NUMERIC=C LC_TIME=English_United Kingdom.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] compiler_3.5.1 backports_1.1.2 magrittr_1.5 rprojroot_1.3-2 htmltools_0.3.6 tools_3.5.1 yaml_2.2.0 Rcpp_0.12.18
[9] rmarkdown_1.10 stringi_1.1.7 knitr_1.20 digest_0.6.15 stringr_1.3.1 evaluate_0.11