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adefazio / classifierplots

Generates a visualization of binary classifier performance as a grid of diagonstic plots with just one function call
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Possible incompatibility of packages #9

Open rwarnung opened 7 years ago

rwarnung commented 7 years ago

Hi, I just installed the CRAN version. I train a classifier using various packages and when I finally want to call classifierplots I get the error

alpha level NA, not in [0,1]

I can not share my whole code and data here. If I run the base example after doing my calculations I get the error too. So there might be an incompatibility with the packages already loaded.

Do you have any idea if you look at the list of packages loaded. Is there anything I can check? Thank you!

library(classifierplots)
classifierplots(example_predictions$test.y, example_predictions$pred.prob)

and got the error:

[1] "Calculating AUC ..." [1] "(AUC) Sorting data ..." [1] "(AUC) Calculating ranks ..." [1] "AUC: 90.5603213507625" [1] "Bootstrapping ROC curves" [1] "Eval AUC" [1] "Producing ROC plot" [1] "Generating score density plot" Error in grDevices::rgb(col[1, ], col[2, ], col[3, ], alpha) : alpha level NA, not in [0,1] In addition: Warning message: In grDevices::rgb(col[1, ], col[2, ], col[3, ], alpha) : NAs introduced by coercion

my sessionInfo() is

R version 3.3.1 (2016-06-21) 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 LC_CTYPE=English_United States.1252
[3] 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] earth_4.4.7 plotmo_3.2.0 TeachingDemos_2.10 plotrix_3.6-3 classifierplots_1.3.2 [6] data.table_1.10.4 mlr_2.10 ParamHelpers_1.10 reshape_0.8.6 fastICA_1.2-0
[11] corrplot_0.77 e1071_1.6-8 dplyr_0.5.0 purrr_0.2.2 readr_1.0.0
[16] tidyr_0.6.1 tibble_1.2 ggplot2_2.2.1 tidyverse_1.1.1

loaded via a namespace (and not attached): [1] httr_1.2.1 jsonlite_1.1 splines_3.3.1 foreach_1.4.3 modelr_0.1.0 gtools_3.5.0
[7] LiblineaR_1.94-2 assertthat_0.1 stats4_3.3.1 deepnet_0.2 backports_1.0.3 lattice_0.20-33
[13] quantreg_5.29 checkmate_1.8.2 rvest_0.3.2 minqa_1.2.4 colorspace_1.3-2 Matrix_1.2-6
[19] plyr_1.8.4 psych_1.6.12 broom_0.4.1 SparseM_1.74 haven_1.0.0 caret_6.0-73
[25] corpcor_1.6.8 scales_0.4.1 parallelMap_1.3 gdata_2.17.0 sda_1.3.7 fdrtool_1.2.15
[31] MatrixModels_0.4-1 lme4_1.1-12 mgcv_1.8-12 car_2.1-3 xgboost_0.6-4 pacman_0.4.1
[37] ROCR_1.0-7 nnet_7.3-12 lazyeval_0.2.0 pbkrtest_0.4-6 mnormt_1.5-5 survival_2.39-4
[43] magrittr_1.5 readxl_0.1.1 nlme_3.1-128 MASS_7.3-45 gplots_3.0.1 forcats_0.2.0
[49] xml2_1.1.0 foreign_0.8-66 class_7.3-14 tools_3.3.1 hms_0.3 BBmisc_1.10
[55] stringr_1.1.0 munsell_0.4.3 entropy_1.2.1 caTools_1.17.1 grid_3.3.1 nloptr_1.0.4
[61] iterators_1.0.8 labeling_0.3 bitops_1.0-6 gtable_0.2.0 ModelMetrics_1.1.0 codetools_0.2-14
[67] DBI_0.5-1 reshape2_1.4.2 R6_2.1.3 gridExtra_2.2.1 lubridate_1.6.0 KernSmooth_2.23-15

adefazio commented 7 years ago

Hi, Sorry for the late response. I'll look into this, but I can't promise a quick fix.