在尝试安装export_png()
ggvis
1,2,3,4,{{{{}}时,人们遇到了类似的问题3}}。我通过node.js跟踪了vega的安装。
这是我的代码:
library(ggvis)
mtcars %>% ggvis(~hp, ~mpg, fill=~factor(cyl)) %>% layer_smooths() %>% export_png()
这就是结果:
Writing to file plot.png
undefined:3
return x["data"]["domain"];
^
TypeError: Cannot read property 'domain' of undefined
at eval [as get] (eval at <anonymous> (C:\Users\mglez\AppData\Roaming\npm\node_modules\vega\node_modules\datalib\src\util.js:147:20), <anonymous>:3:17)
at eval [as add] (eval at create (C:\Users\mglez\AppData\Roaming\npm\node_modules\vega\node_modules\datalib\src\aggregate\measures.js:175:23), <anonymous>:3:14)
at Facetor.proto._add (C:\Users\mglez\AppData\Roaming\npm\node_modules\vega\node_modules\datalib\src\aggregate\aggregator.js:158:31)
at add (C:\Users\mglez\AppData\Roaming\npm\node_modules\vega\src\transforms\Aggregate.js:174:31)
at Array.forEach (native)
at Aggregate.prototype.transform (C:\Users\mglez\AppData\Roaming\npm\node_modules\vega\src\transforms\Aggregate.js:190:13)
at Aggregate.prototype.evaluate (C:\Users\mglez\AppData\Roaming\npm\node_modules\vega\src\transforms\Transform.js:48:15)
at Node.dataRef (C:\Users\mglez\AppData\Roaming\npm\node_modules\vega\src\scene\Scale.js:387:15)
at Node.domainMinMax (C:\Users\mglez\AppData\Roaming\npm\node_modules\vega\src\scene\Scale.js:429:15)
at Node.quantitative (C:\Users\mglez\AppData\Roaming\npm\node_modules\vega\src\scene\Scale.js:223:18)
Warning message:
running command '"C:\Users\mglez\AppData\Roaming\npm\vg2png.cmd" C:\Users\mglez\AppData\Local\Temp\RtmpSWJcGx\ggvis25e828cd4fe4/plot.json plot.png' had status 1
这是我的会话信息
> sessionInfo()
R version 3.3.0 (2016-05-03)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggvis_0.4.2
loaded via a namespace (and not attached):
[1] Rcpp_0.12.5 XML_3.98-1.4 digest_0.6.9 dplyr_0.4.3 assertthat_0.1 mime_0.4 bitops_1.0-6 R6_2.1.2 jsonlite_0.9.22 xtable_1.8-2
[11] DBI_0.4-1 magrittr_1.5 lazyeval_0.2.0 RJSONIO_1.3-0 tools_3.3.0 RSelenium_1.3.5 RCurl_1.95-4.8 shiny_0.13.2 httpuv_1.3.3 parallel_3.3.0
[21] caTools_1.17.1 htmltools_0.3.5
任何帮助将不胜感激。