* using log directory ‘/data/blackswan/ripley/R/packages/tests-devel/conversim.Rcheck’ * using R Under development (unstable) (2026-03-05 r89538) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3) GNU Fortran (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3) * running under: Fedora Linux 40 (Workstation Edition) * using session charset: UTF-8 * current time: 2026-03-05 11:24:30 UTC * checking for file ‘conversim/DESCRIPTION’ ... OK * this is package ‘conversim’ version ‘0.1.0’ * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package ‘conversim’ can be installed ... [11s/11s] OK * checking package directory ... OK * checking ‘build’ directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... [15s/15s] OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd line widths ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking installed files from ‘inst/doc’ ... OK * checking files in ‘vignettes’ ... OK * checking examples ... OK * checking examples with --run-donttest ... [61s/61s] ERROR Running examples in ‘conversim-Ex.R’ failed The error most likely occurred in: > ### Name: run_example > ### Title: Run package examples > ### Aliases: run_example > > ### ** Examples > > ## No test: > run_example("sequence_multidyads_examples.R") Attaching package: ‘dplyr’ The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in conversim::semantic_similarity(window1, window2, method, ...) : The 'tfidf' method may not provide highly meaningful results for short conversations or those with little vocabulary overlap. Consider using 'word2vec' or 'glove' methods for more robust results. Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, : unable to evaluate scaled gradient Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, : Problem with Hessian check (infinite or missing values?) Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning in structural_sim_dyads(preprocessed_data) : Only one observation per dyad. Using simple mean for overall average instead of multilevel modeling. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning: Unknown or uninitialised column: `speaker`. Warning in participant_sim_dyads(preprocessed_data) : Only one observation per dyad. Using simple mean for overall average instead of multilevel modeling. Warning in timing_sim_dyads(preprocessed_data) : Only one observation per dyad. Using simple mean for overall average instead of multilevel modeling. Topic Similarity in dyads: 0 Lexical Similarity in dyads: 0.04686651 Semantic Similarity in dyads: 0.5 Structural Similarity in dyads: 0.569356 Stylistic Similarity in dyads: 0.8029357 Sentiment Similarity in dyads: 0.8573945 Participant Similarity in dyads: 0 Timing Similarity in dyads: 0.209931 Topic Similarity: 0.5833333 0.625 0.5555556 Lexical Similarity: 0.6111111 0.6111111 0.6486486 0.4528302 0.6610169 0.6716418 0.5068493 0.6268657 0.5466667 0.5696203 0.5903614 0.5783133 0.6052632 0.5342466 0.5882353 0.5428571 0.5909091 0.5217391 0.6290323 0.6333333 0.5245902 0.5918367 Semantic Similarity: 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 Stylistic Similarity: 0.9423356 0.9650275 0.9866212 0.7533351 0.936176 0.8886686 0.8826851 0.8928535 0.9710369 0.88302 0.9847185 0.9767945 0.8616408 0.9784545 0.8899462 0.9348973 0.8481464 0.8015333 0.87078 0.8985321 0.7970504 0.9614166 Sentiment Similarity: 0.9940361 0.7556145 0.9864896 0.9304883 0.8248056 0.9613214 0.8481503 0.9785069 0.9322719 0.9884194 0.8475543 0.7946206 0.9790749 0.879183 0.8130847 0.8977056 0.9958352 0.9064929 0.9920658 0.9983158 0.9546449 0.9033742 > run_example("main_functions_examples.R") Loading required package: NLP Loading required package: SnowballC Warning in readChar(con, 5L, useBytes = TRUE) : cannot open compressed file '', probable reason 'No such file or directory' Error in readChar(con, 5L, useBytes = TRUE) : cannot open the connection Calls: run_example ... source -> withVisible -> eval -> eval -> load -> readChar Execution halted * checking for unstated dependencies in ‘tests’ ... OK * checking tests ... Running ‘testthat.R’ OK * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... [89s/89s] OK * checking PDF version of manual ... OK * checking for non-standard things in the check directory ... OK * checking for detritus in the temp directory ... OK * checking for new files in some other directories ... OK * DONE Status: 1 ERROR See ‘/data/blackswan/ripley/R/packages/tests-devel/conversim.Rcheck/00check.log’ for details. Command exited with non-zero status 1 Time 4:31.31, 240.88 + 28.69