使用ROCR软件包绘制ROC曲线时出现奇怪错误

我尝试创建一条简单的ROC曲线，如下所示：

library(ROCR)
data(ROCR.simple)
pred <- prediction( ROCR.simple$predictions, ROCR.simple$labels)
perf <- performance(pred,"tpr","fpr")
plot(perf)

你知道这是什么原因吗

这是我的

sessionInfo

：

> sessionInfo()
R version 3.2.3 (2015-12-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)

locale:
  [1] LC_COLLATE=Dutch_Netherlands.1252  LC_CTYPE=Dutch_Netherlands.1252    LC_MONETARY=Dutch_Netherlands.1252
[4] LC_NUMERIC=C                       LC_TIME=Dutch_Netherlands.1252    

attached base packages:
  [1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
  [1] ggvis_0.4.2  dplyr_0.4.3  ROCR_1.0-7   gplots_3.0.1 FNN_1.1     

loaded via a namespace (and not attached):
  [1] Rcpp_0.12.4        gtools_3.5.0       digest_0.6.9       assertthat_0.1     mime_0.4          
[6] bitops_1.0-6       R6_2.1.2           xtable_1.8-2       DBI_0.3.1          magrittr_1.5      
[11] KernSmooth_2.23-15 lazyeval_0.1.10    gdata_2.17.0       tools_3.2.3        shiny_0.13.2      
[16] httpuv_1.3.3       parallel_3.2.3     caTools_1.17.1     htmltools_0.3.5   

---

我无法复制。这个代码在我的机器上运行良好。请将您的

sessionInfo（）

结果发布到问题中。@Andrie刚刚添加了它。如果您在绘图之前分离（“包：ggvis”）（可能还有其他包），会怎么样？也就是说，从一个干净的会议开始？我同意@lukeA。从一个干净的会话开始，看看问题是否仍然存在。如果没有，那么您知道另一个包受到干扰。通过逐个加载其他包来缩小问题范围，直到问题再次出现。如果您仍然无法跟踪问题，请发布一个可复制的示例，即在clean R会话中抛出错误的示例。

> sessionInfo()
R version 3.2.3 (2015-12-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)

locale:
  [1] LC_COLLATE=Dutch_Netherlands.1252  LC_CTYPE=Dutch_Netherlands.1252    LC_MONETARY=Dutch_Netherlands.1252
[4] LC_NUMERIC=C                       LC_TIME=Dutch_Netherlands.1252    

attached base packages:
  [1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
  [1] ggvis_0.4.2  dplyr_0.4.3  ROCR_1.0-7   gplots_3.0.1 FNN_1.1     

loaded via a namespace (and not attached):
  [1] Rcpp_0.12.4        gtools_3.5.0       digest_0.6.9       assertthat_0.1     mime_0.4          
[6] bitops_1.0-6       R6_2.1.2           xtable_1.8-2       DBI_0.3.1          magrittr_1.5      
[11] KernSmooth_2.23-15 lazyeval_0.1.10    gdata_2.17.0       tools_3.2.3        shiny_0.13.2      
[16] httpuv_1.3.3       parallel_3.2.3     caTools_1.17.1     htmltools_0.3.5