我想使用模板自动创建 powerpoint 报告。根据 ReporteRs 文档，这是通过以下方式完成的：
doc = pptx(template = '/path/to/template.pptx')
即使尝试加载最简单的模板，我也会收到以下错误：
Error in pptx(template = '/path/to/template.pptx') :
an error occured - code[LOADDOC_ERROR].
即使是 ReporteRs 的 CRAN 参考中的最小示例也会导致我出错。这是pdf参考，下面是第86页的示例。他们首先创建了一个名为“template_example.pptx”的简单模板，然后加载模板，并对幻灯片进行了小改动。我可以毫无错误地创建模板，但是一旦我尝试加载新模板，就会收到前面提到的错误。
# create an doc to be used as template later
mydoc = pptx( )
mydoc = addSlide( mydoc, slide.layout = "Title and Content")
mydoc = addTitle( mydoc, "a table")
mydoc = addFlexTable( mydoc, ft1 )
mydoc = addSlide( mydoc, slide.layout = "Title and Content")
mydoc = addTitle( mydoc, "some text")
mydoc = addParagraph( mydoc, "text example" )
writeDoc( mydoc, "template_example.pptx" )
# use file pp_template_example.pptx as template
# and replace slide 1
mydoc = pptx(template = "template_example.pptx" )
mydoc = addSlide( mydoc, slide.layout = "Title and Content", bookmark = 1)
mydoc = addTitle( mydoc, "a new table")
mydoc = addFlexTable( mydoc, ft2 )
writeDoc( mydoc, "slide_replacement.pptx" )
有没有人知道为什么会发生这个错误？谢谢。
编辑：添加SessionInfo()输出。
> sessionInfo()
R version 3.2.2 (2015-08-14)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.10.3 (Yosemite)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggplot2_1.0.1 lubridate_1.3.3 DT_0.1 readr_0.2.2 dplyr_0.4.3 shinydashboard_0.5.1
[7] rga_0.8 httr_1.0.0 jsonlite_0.9.16 RCurl_1.95-4.7 bitops_1.0-6 openxlsx_3.0.0
[13] shiny_0.12.2 RAdwords_0.1.6 rJava_0.9-7 ReporteRs_0.8.2 ReporteRsjars_0.0.2
loaded via a namespace (and not attached):
[1] Rcpp_0.11.6 plyr_1.8.3 tools_3.2.2 digest_0.6.8 memoise_0.2.1 gtable_0.1.2 DBI_0.3.1 rstudioapi_0.3.1
[9] yaml_2.1.13 parallel_3.2.2 proto_0.3-10 stringr_1.0.0 htmlwidgets_0.5 grid_3.2.2 R6_2.1.1 reshape2_1.4.1
[17] magrittr_1.5 scales_0.2.5 htmltools_0.2.6 MASS_7.3-43 assertthat_0.1 mime_0.3 colorspace_1.2-6 xtable_1.7-4
[25] httpuv_1.3.3 labeling_0.3 stringi_0.5-5 lazyeval_0.1.10 munsell_0.4.2 rjson_0.2.15