• using R Under development (unstable) (2025-12-18 r89199)
• using platform: x86_64-pc-linux-gnu
• R was compiled by     Debian clang version 21.1.7 (1)     Debian flang version 21.1.7 (1)
• running under: Debian GNU/Linux forky/sid
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• checking for file ‘DataSimilarity/DESCRIPTION’ ... OK
• checking extension type ... Package
• this is package ‘DataSimilarity’ version ‘0.2.0’
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• checking examples ... [13s/16s] ERROR Running examples in ‘DataSimilarity-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: DataSimilarity > ### Title: Dataset Similarity > ### Aliases: DataSimilarity > > ### ** Examples > > # Workflow for using the DataSimilarity package: > # Prepare data example: comparing species in iris dataset > data("iris") > iris.split <- split(iris[, -5], iris$Species) > setosa <- iris.split$setosa > versicolor <- iris.split$versicolor > virginica <- iris.split$virginica > > # 1. Find appropriate methods that can be used to compare 3 numeric datasets: > findSimilarityMethod(Numeric = TRUE, Multiple.Samples = TRUE)  [1] "BallDivergence" "C2ST" "DISCOB" "DISCOF"  [5] "Energy" "FStest" "KMD" "MMCM"  [9] "MW" "Petrie" "RItest" "SC" > > # get more information > findSimilarityMethod(Numeric = TRUE, Multiple.Samples = TRUE, only.names = FALSE)                                     Method Implementation Target.Inclusion 2 Pan et al. (2018) BallDivergence Unfulfilled 7 C2ST (Lopez-Paz and Oquab, 2017) C2ST Unfulfilled 15 DISCO (Rizzo and Székely, 2010) DISCOB Unfulfilled 16 DISCO (Rizzo and Székely, 2010) DISCOF Unfulfilled 18 Energy statistic (Zech and Aslan, 2003) Energy Unfulfilled 22 Paul, De and Ghosh (2022) FStest Unfulfilled 27 KMD (Huang and Sen, 2023) KMD Unfulfilled 29 Mukherjee et al. (2022) MMCM Unfulfilled 31 Mukhopadhyay and Wang (2020) MW Unfulfilled 34 Petrie (2016) Petrie Unfulfilled 35 Paul, De and Ghosh (2022) RItest Unfulfilled 37 Song and Chen (2022) SC Unfulfilled      Numeric Categorical Unequal.Sample.Sizes 2 Fulfilled Unfulfilled Fulfilled 7 Fulfilled Conditionally Fulfilled Fulfilled 15 Fulfilled Unfulfilled Fulfilled 16 Fulfilled Unfulfilled Fulfilled 18 Fulfilled Unfulfilled Fulfilled 22 Fulfilled Unfulfilled Fulfilled 27 Fulfilled Unfulfilled Fulfilled 29 Fulfilled Fulfilled Fulfilled 31 Fulfilled Unfulfilled Fulfilled 34 Fulfilled Fulfilled Fulfilled 35 Fulfilled Unfulfilled Fulfilled 37 Fulfilled Unfulfilled Fulfilled                 p.Larger.N Multiple.Samples Without.training No.assumptions 2 Fulfilled Fulfilled Fulfilled Fulfilled 7 Conditionally Fulfilled Fulfilled Unfulfilled Unfulfilled 15 Fulfilled Fulfilled Fulfilled Unfulfilled 16 Fulfilled Fulfilled Fulfilled Unfulfilled 18 Fulfilled Fulfilled Fulfilled Unfulfilled 22 Fulfilled Fulfilled Fulfilled Fulfilled 27 Fulfilled Fulfilled Fulfilled Fulfilled 29 Fulfilled Fulfilled Fulfilled Unfulfilled 31 Fulfilled Fulfilled Fulfilled Unfulfilled 34 Fulfilled Fulfilled Fulfilled Unfulfilled 35 Fulfilled Fulfilled Fulfilled Fulfilled 37 Fulfilled Fulfilled Fulfilled Unfulfilled    No.parameters Implemented Complexity Interpretable.units 2 Unfulfilled Fulfilled <NA> Unfulfilled 7 Unfulfilled Fulfilled <NA> Fulfilled 15 Unfulfilled Fulfilled O(N^2) Unfulfilled 16 Unfulfilled Fulfilled O(N^2) Unfulfilled 18 Fulfilled Fulfilled O(N^2) Unfulfilled 22 Unfulfilled Fulfilled <NA> Unfulfilled 27 Unfulfilled Fulfilled O(KN log N) Unfulfilled 29 Fulfilled Fulfilled <NA> Unfulfilled 31 Unfulfilled Fulfilled <NA> Unfulfilled 34 Unfulfilled Fulfilled O(N^2 log N),O(N^3),O(N log N) Fulfilled 35 Unfulfilled Fulfilled <NA> Unfulfilled 37 Unfulfilled Fulfilled <NA> Unfulfilled    Lower.bound Upper.bound Rotation.invariant Location.change.invariant 2 0 <NA> <NA> <NA> 7 0 1 Conditionally Fulfilled Conditionally Fulfilled 15 0 Unfulfilled Fulfilled Fulfilled 16 0 Unfulfilled Fulfilled Fulfilled 18 0 Unfulfilled Fulfilled Fulfilled 22 0 1 Conditionally Fulfilled Conditionally Fulfilled 27 0 1 Fulfilled Fulfilled 29 0 <NA> Fulfilled Fulfilled 31 0 <NA> <NA> <NA> 34 Fulfilled Fulfilled Fulfilled Fulfilled 35 0 1 Conditionally Fulfilled Conditionally Fulfilled 37 0 <NA> Fulfilled Fulfilled    Homogeneous.scale.invariant Positive.definite Symmetric Triangle.inequality 2 <NA> Fulfilled Fulfilled Unfulfilled 7 Conditionally Fulfilled <NA> Fulfilled <NA> 15 Unfulfilled <NA> Fulfilled <NA> 16 Unfulfilled <NA> Fulfilled <NA> 18 Unfulfilled Fulfilled Fulfilled Fulfilled 22 <NA> <NA> Fulfilled <NA> 27 Fulfilled Fulfilled Fulfilled <NA> 29 Fulfilled <NA> Fulfilled <NA> 31 <NA> <NA> Fulfilled <NA> 34 Fulfilled <NA> Fulfilled <NA> 35 <NA> <NA> Fulfilled <NA> 37 Fulfilled <NA> Fulfilled <NA>              Consistency.N Consistency.p Number.Fulfilled 2 Fulfilled <NA> 11 7 Conditionally Fulfilled <NA> 7 15 Fulfilled <NA> 11 16 Fulfilled <NA> 11 18 Fulfilled Conditionally Fulfilled 14 22 <NA> Fulfilled 11 27 Fulfilled <NA> 16 29 Fulfilled <NA> 14 31 <NA> <NA> 9 34 <NA> <NA> 13 35 <NA> Fulfilled 11 37 Fulfilled <NA> 12    Number.Cond.Fulfilled Number.Unfulfilled Number.NA 2 0 5 5 7 6 5 3 15 0 7 3 16 0 7 3 18 1 6 0 22 3 3 4 27 0 3 2 29 0 3 4 31 0 4 8 34 0 4 4 35 3 3 4 37 0 5 4                                        Class 2 Testing approach 7 Method based on binary classification 15 Comparison based on inter-point distances 16 Comparison based on inter-point distances 18 Comparison based on inter-point distances 22 Testing approach 27 Kernel-based 29 Graph-based 31 Graph-based 34 Graph-based 35 Testing approach 37 Graph-based                                     Subclass 2 Testing approach 7 Method based on binary classification 15 Comparison based on inter-point distances 16 Comparison based on inter-point distances 18 Comparison based on inter-point distances 22 Testing approach 27 Kernel-based 29 Graph-based 31 Graph-based 34 Graph-based 35 Testing approach 37 Graph-based > > # 2. Choose a method and apply it: > # All suitable methods > possible.methds <- findSimilarityMethod(Numeric = TRUE, Multiple.Samples = TRUE, + only.names = FALSE) > # Select, e.g., method with highest number of fulfilled criteria > possible.methds$Implementation[which.max(possible.methds$Number.Fulfilled)] [1] "KMD" > > set.seed(1234) > if(requireNamespace("KMD")) { + DataSimilarity(setosa, versicolor, virginica, method = "KMD") + } Loading required namespace: KMD Error in `[.data.table`(df_X, , `:=`(gp_size, length(id)), by = "group") :   attempt access index 2/2 in VECTOR_ELT Calls: DataSimilarity ... <Anonymous> -> <Anonymous> -> get_neighbors -> [ -> [.data.table Execution halted Examples with CPU (user + system) or elapsed time > 5s       user system elapsed C2ST 3.876 0.2 5.062
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• DONE

Status: 1 ERROR