我想知道如何将使用DiagrammeR的美人鱼功能生成的甘特图保存为SVG文件。
以下文中的甘特图为例：Gantt charts with R
library(DiagrammeR)
mermaid("
gantt
dateFormat YYYY-MM-DD
title A Very Nice Gantt Diagram
section Basic Tasks
This is completed :done, first_1, 2014-01-06, 2014-01-08
This is active :active, first_2, 2014-01-09, 3d
Do this later : first_3, after first_2, 5d
Do this after that : first_4, after first_3, 5d
section Important Things
Completed, critical task :crit, done, import_1, 2014-01-06,24h
Also done, also critical :crit, done, import_2, after import_1, 2d
Doing this important task now :crit, active, import_3, after import_2, 3d
Next critical task :crit, import_4, after import_3, 5d
section The Extras
First extras :active, extras_1, after import_4, 3d
Second helping : extras_2, after extras_1, 20h
More of the extras : extras_3, after extras_1, 48h
")
如何将此图表导出到svg文件中？
我已经看到有一个工具可以将DiagrammeR grViz图形导出为svg格式（https://github.com/rich-iannone/DiagrammeRsvg/blob/master/man/export_svg.Rd），但是这个工具不适用于美人鱼甘特图。
如果您尝试将其应用于之前的甘特图，则会遇到以下特定错误：
Error in context_eval(join(src), private$context) :
Error: syntax error in line 2 near 'gantt'
有没有办法可以修改这个工具，以便它也可以处理美人鱼图形？
R version 3.3.2 (2016-10-31)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
[1] timevis_0.4 dplyr_0.7.3 tidyr_0.7.1
[4] htmltools_0.3.6 DiagrammeRsvg_0.1 DiagrammeR_0.9.2
loaded via a namespace (and not attached):
[1] Rook_1.1-1 purrr_0.2.3 V8_1.5
[4] colorspace_1.3-2 viridisLite_0.2.0 yaml_2.1.14
[7] XML_3.98-1.9 rlang_0.1.2 glue_1.1.1
[10] RColorBrewer_1.1-2 bindrcpp_0.2 bindr_0.1
[13] plyr_1.8.4 stringr_1.2.0 munsell_0.4.3
[16] gtable_0.2.0 visNetwork_2.0.1 htmlwidgets_0.9
[19] evaluate_0.10.1 knitr_1.17 httpuv_1.3.5
[22] curl_2.8.1 Rcpp_0.12.12 xtable_1.8-2
[25] readr_1.1.1 scales_0.5.0 backports_1.1.1
[28] jsonlite_1.5 rgexf_0.15.3 mime_0.5
[31] gridExtra_2.3 brew_1.0-6 ggplot2_2.2.1
[34] hms_0.3 digest_0.6.12 stringi_1.1.5
[37] shiny_1.0.5 grid_3.3.2 rprojroot_1.2
[40] influenceR_0.1.0 tools_3.3.2 magrittr_1.5
[43] lazyeval_0.2.0 tibble_1.3.4 pkgconfig_2.0.1
[46] downloader_0.4 assertthat_0.2.0 rmarkdown_1.6
[49] rstudioapi_0.7 viridis_0.4.0 R6_2.2.2
[52] igraph_1.1.2
非常感谢，
最佳，
Yatrosin