• 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
• using session charset: UTF-8
• checking for file ‘conversim/DESCRIPTION’ ... OK
• this is package ‘conversim’ version ‘0.1.0’
• package encoding: UTF-8
• checking CRAN incoming feasibility ... [1s/2s] OK
• 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 ... OK See the install log for details.
• checking package directory ... OK
• checking for future file timestamps ... 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 ... [5s/6s] OK
• checking whether the package can be loaded with stated dependencies ... [4s/5s] OK
• checking whether the package can be unloaded cleanly ... [4s/5s] OK
• checking whether the namespace can be loaded with stated dependencies ... [4s/5s] OK
• checking whether the namespace can be unloaded cleanly ... [5s/6s] OK
• checking loading without being on the library search path ... [4s/7s] OK
• checking use of S3 registration ... 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 ... [23s/30s] OK
• checking Rd files ... [0s/1s] 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 ... [11s/14s] ERROR Running examples in ‘conversim-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: sent_sim_seq > ### Title: Calculate sentiment similarity sequence for a single dyad > ### Aliases: sent_sim_seq > > ### ** Examples > > conversation <- data.frame( + processed_text = c("I love this movie!", "It's really amazing.", + "The acting is superb.", "I couldn't agree more.") + ) > result <- sent_sim_seq(conversation, window_size = 2) Error in `[.data.table`(dat, , `:=`(indx, wc < 1), by = c("id", "sentences", :   attempt access index 3/3 in VECTOR_ELT Calls: sent_sim_seq ... similarity_func -> sentiment_by -> sentiment_by.character Execution halted
• checking for unstated dependencies in ‘tests’ ... OK
• checking tests ... [9s/12s] ERROR   Running ‘testthat.R’ [9s/11s] Running the tests in ‘tests/testthat.R’ failed. Complete output:   > # This file is part of the standard setup for testthat.   > # It is recommended that you do not modify it.   > #   > # Where should you do additional test configuration?   > # Learn more about the roles of various files in:   > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview   > # * https://testthat.r-lib.org/articles/special-files.html   >   > library(testthat)   > library(conversim)   >   > test_check("conversim")   boundary (singular) fit: see help('isSingular')   Saving _problems/test-conversation_multidyads-77.R   Loading required package: NLP      Attaching package: 'NLP'      The following object is masked from 'package:ggplot2':          annotate      Saving _problems/test-conversation_sequence-73.R   Loading required package: SnowballC   Saving _problems/test-main_functions-81.R   Saving _problems/test-main_functions_utilities-36.R   Saving _problems/test-main_functions_utilities-54.R   Saving _problems/test-main_functions_utilities-70.R   [ FAIL 6 | WARN 11 | SKIP 0 | PASS 141 ]      ══ Failed tests ════════════════════════════════════════════════════════════════   ── Error ('test-conversation_multidyads.R:77:3'): sentiment_sim_dyads works correctly ──   Error in ``[.data.table`(dat, , `:=`(indx, wc < 1), by = c("id", "sentences", "wc"))`: attempt access index 3/3 in VECTOR_ELT   Backtrace:        ▆     1. └─conversim::sentiment_sim_dyads(preprocessed, window_size = 2) at test-conversation_multidyads.R:77:3     2. └─conversim::sentiment_similarity(window1, window2)     3. ├─sentimentr::sentiment_by(conv1)     4. └─sentimentr:::sentiment_by.character(conv1)     5. ├─base::suppressWarnings(sentiment(text.var = text.var, ...))     6. │ └─base::withCallingHandlers(...)     7. ├─sentimentr::sentiment(text.var = text.var, ...)     8. └─sentimentr:::sentiment.character(text.var = text.var, ...)     9. ├─sentimentr::sentiment(...)    10. └─sentimentr:::sentiment.get_sentences_character(...)    11. └─sentimentr:::make_sentence_df2(sents, retention_regex = retention_regex)    12. ├─dat[, `:=`(indx, wc < 1), by = c("id", "sentences", "wc")]    13. └─data.table:::`[.data.table`(...)   ── Error ('test-conversation_sequence.R:73:3'): sent_sim_seq works correctly ───   Error in ``[.data.table`(dat, , `:=`(indx, wc < 1), by = c("id", "sentences", "wc"))`: attempt access index 3/3 in VECTOR_ELT   Backtrace:        ▆     1. └─conversim::sent_sim_seq(sample_conversation, window_size = 3) at test-conversation_sequence.R:73:3     2. └─conversim::calc_sim_seq(conversation, window_size, conversim::sentiment_similarity)     3. └─conversim (local) similarity_func(window1, window2)     4. ├─sentimentr::sentiment_by(conv1)     5. └─sentimentr:::sentiment_by.character(conv1)     6. ├─base::suppressWarnings(sentiment(text.var = text.var, ...))     7. │ └─base::withCallingHandlers(...)     8. ├─sentimentr::sentiment(text.var = text.var, ...)     9. └─sentimentr:::sentiment.character(text.var = text.var, ...)    10. ├─sentimentr::sentiment(...)    11. └─sentimentr:::sentiment.get_sentences_character(...)    12. └─sentimentr:::make_sentence_df2(sents, retention_regex = retention_regex)    13. ├─dat[, `:=`(indx, wc < 1), by = c("id", "sentences", "wc")]    14. └─data.table:::`[.data.table`(...)   ── Error ('test-main_functions.R:81:3'): sentiment_similarity works correctly ──   Error in ``[.data.table`(dat, , `:=`(indx, wc < 1), by = c("id", "sentences", "wc"))`: attempt access index 3/3 in VECTOR_ELT   Backtrace:        ▆     1. └─conversim::sentiment_similarity(conv1, conv2) at test-main_functions.R:81:3     2. ├─sentimentr::sentiment_by(conv1)     3. └─sentimentr:::sentiment_by.character(conv1)     4. ├─base::suppressWarnings(sentiment(text.var = text.var, ...))     5. │ └─base::withCallingHandlers(...)     6. ├─sentimentr::sentiment(text.var = text.var, ...)     7. └─sentimentr:::sentiment.character(text.var = text.var, ...)     8. ├─sentimentr::sentiment(...)     9. └─sentimentr:::sentiment.get_sentences_character(...)    10. └─sentimentr:::make_sentence_df2(sents, retention_regex = retention_regex)    11. ├─dat[, `:=`(indx, wc < 1), by = c("id", "sentences", "wc")]    12. └─data.table:::`[.data.table`(...)   ── Error ('test-main_functions_utilities.R:36:3'): gen_sim_report generates a valid report ──   Error in ``[.data.table`(dat, , `:=`(indx, wc < 1), by = c("id", "sentences", "wc"))`: attempt access index 3/3 in VECTOR_ELT   Backtrace:        ▆     1. └─conversim::gen_sim_report(speech1, speech2) at test-main_functions_utilities.R:36:3     2. └─conversim::sentiment_similarity(speech1, speech2)     3. ├─sentimentr::sentiment_by(conv1)     4. └─sentimentr:::sentiment_by.character(conv1)     5. ├─base::suppressWarnings(sentiment(text.var = text.var, ...))     6. │ └─base::withCallingHandlers(...)     7. ├─sentimentr::sentiment(text.var = text.var, ...)     8. └─sentimentr:::sentiment.character(text.var = text.var, ...)     9. ├─sentimentr::sentiment(...)    10. └─sentimentr:::sentiment.get_sentences_character(...)    11. └─sentimentr:::make_sentence_df2(sents, retention_regex = retention_regex)    12. ├─dat[, `:=`(indx, wc < 1), by = c("id", "sentences", "wc")]    13. └─data.table:::`[.data.table`(...)   ── Error ('test-main_functions_utilities.R:54:3'): print_sim_report works without errors ──   Error in ``[.data.table`(dat, , `:=`(indx, wc < 1), by = c("id", "sentences", "wc"))`: attempt access index 3/3 in VECTOR_ELT   Backtrace:        ▆     1. └─conversim::gen_sim_report(speech1, speech2) at test-main_functions_utilities.R:54:3     2. └─conversim::sentiment_similarity(speech1, speech2)     3. ├─sentimentr::sentiment_by(conv1)     4. └─sentimentr:::sentiment_by.character(conv1)     5. ├─base::suppressWarnings(sentiment(text.var = text.var, ...))     6. │ └─base::withCallingHandlers(...)     7. ├─sentimentr::sentiment(text.var = text.var, ...)     8. └─sentimentr:::sentiment.character(text.var = text.var, ...)     9. ├─sentimentr::sentiment(...)    10. └─sentimentr:::sentiment.get_sentences_character(...)    11. └─sentimentr:::make_sentence_df2(sents, retention_regex = retention_regex)    12. ├─dat[, `:=`(indx, wc < 1), by = c("id", "sentences", "wc")]    13. └─data.table:::`[.data.table`(...)   ── Error ('test-main_functions_utilities.R:70:3'): print_sim_report prints all similarity scores ──   Error in ``[.data.table`(dat, , `:=`(indx, wc < 1), by = c("id", "sentences", "wc"))`: attempt access index 3/3 in VECTOR_ELT   Backtrace:        ▆     1. └─conversim::gen_sim_report(speech1, speech2) at test-main_functions_utilities.R:70:3     2. └─conversim::sentiment_similarity(speech1, speech2)     3. ├─sentimentr::sentiment_by(conv1)     4. └─sentimentr:::sentiment_by.character(conv1)     5. ├─base::suppressWarnings(sentiment(text.var = text.var, ...))     6. │ └─base::withCallingHandlers(...)     7. ├─sentimentr::sentiment(text.var = text.var, ...)     8. └─sentimentr:::sentiment.character(text.var = text.var, ...)     9. ├─sentimentr::sentiment(...)    10. └─sentimentr:::sentiment.get_sentences_character(...)    11. └─sentimentr:::make_sentence_df2(sents, retention_regex = retention_regex)    12. ├─dat[, `:=`(indx, wc < 1), by = c("id", "sentences", "wc")]    13. └─data.table:::`[.data.table`(...)      [ FAIL 6 | WARN 11 | SKIP 0 | PASS 141 ]   Error:   ! Test failures.   Execution halted
• checking for unstated dependencies in vignettes ... OK
• checking package vignettes ... OK
• checking re-building of vignette outputs ... [38s/50s] ERROR Error(s) in re-building vignettes:   ... --- re-building ‘Analyzing_Similarities_between_Two_Long_Speeches.Rmd’ using rmarkdown Quitting from Analyzing_Similarities_between_Two_Long_Speeches.Rmd:339-343 [unnamed-chunk-14] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `[.data.table`: ! attempt access index 3/3 in VECTOR_ELT --- Backtrace:      ▆   1. └─global sentiment_similarity(speeches_data$text[1], speeches_data$text[2])   2. ├─sentimentr::sentiment_by(conv1)   3. └─sentimentr:::sentiment_by.character(conv1)   4. ├─base::suppressWarnings(sentiment(text.var = text.var, ...))   5. │ └─base::withCallingHandlers(...)   6. ├─sentimentr::sentiment(text.var = text.var, ...)   7. └─sentimentr:::sentiment.character(text.var = text.var, ...)   8. ├─sentimentr::sentiment(...)   9. └─sentimentr:::sentiment.get_sentences_character(...)  10. └─sentimentr:::make_sentence_df2(sents, retention_regex = retention_regex)  11. ├─dat[, `:=`(indx, wc < 1), by = c("id", "sentences", "wc")]  12. └─data.table:::`[.data.table`(...) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'Analyzing_Similarities_between_Two_Long_Speeches.Rmd' failed with diagnostics: attempt access index 3/3 in VECTOR_ELT --- failed re-building ‘Analyzing_Similarities_between_Two_Long_Speeches.Rmd’ --- re-building ‘Analyzing_Similarities_in_Conversational_Sequence_in_One_Dyad.Rmd’ using rmarkdown Quitting from Analyzing_Similarities_in_Conversational_Sequence_in_One_Dyad.Rmd:378-391 [sentiment_similarity] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `[.data.table`: ! attempt access index 3/3 in VECTOR_ELT --- Backtrace:      ▆   1. └─global sent_sim_seq(conversation, window_size = 3)   2. └─global calc_sim_seq(conversation, window_size, conversim::sentiment_similarity)   3. └─conversim (local) similarity_func(window1, window2)   4. ├─sentimentr::sentiment_by(conv1)   5. └─sentimentr:::sentiment_by.character(conv1)   6. ├─base::suppressWarnings(sentiment(text.var = text.var, ...))   7. │ └─base::withCallingHandlers(...)   8. ├─sentimentr::sentiment(text.var = text.var, ...)   9. └─sentimentr:::sentiment.character(text.var = text.var, ...)  10. ├─sentimentr::sentiment(...)  11. └─sentimentr:::sentiment.get_sentences_character(...)  12. └─sentimentr:::make_sentence_df2(sents, retention_regex = retention_regex)  13. ├─dat[, `:=`(indx, wc < 1), by = c("id", "sentences", "wc")]  14. └─data.table:::`[.data.table`(...) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'Analyzing_Similarities_in_Conversational_Sequence_in_One_Dyad.Rmd' failed with diagnostics: attempt access index 3/3 in VECTOR_ELT --- failed re-building ‘Analyzing_Similarities_in_Conversational_Sequence_in_One_Dyad.Rmd’ --- re-building ‘Analyzing_Similarities_in_Conversational_Sequences_across_Multiple_Dyads.Rmd’ using rmarkdown Quitting from Analyzing_Similarities_in_Conversational_Sequences_across_Multiple_Dyads.Rmd:466-468 [sentiment_similarity] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `[.data.table`: ! attempt access index 3/3 in VECTOR_ELT --- Backtrace:      ▆   1. └─global sentiment_sim_dyads(processed_convs, window_size = 3)   2. └─conversim::sentiment_similarity(window1, window2)   3. ├─sentimentr::sentiment_by(conv1)   4. └─sentimentr:::sentiment_by.character(conv1)   5. ├─base::suppressWarnings(sentiment(text.var = text.var, ...))   6. │ └─base::withCallingHandlers(...)   7. ├─sentimentr::sentiment(text.var = text.var, ...)   8. └─sentimentr:::sentiment.character(text.var = text.var, ...)   9. ├─sentimentr::sentiment(...)  10. └─sentimentr:::sentiment.get_sentences_character(...)  11. └─sentimentr:::make_sentence_df2(sents, retention_regex = retention_regex)  12. ├─dat[, `:=`(indx, wc < 1), by = c("id", "sentences", "wc")]  13. └─data.table:::`[.data.table`(...) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'Analyzing_Similarities_in_Conversational_Sequences_across_Multiple_Dyads.Rmd' failed with diagnostics: attempt access index 3/3 in VECTOR_ELT --- failed re-building ‘Analyzing_Similarities_in_Conversational_Sequences_across_Multiple_Dyads.Rmd’ --- re-building ‘utilities_functions.Rmd’ using rmarkdown [WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead. --- finished re-building ‘utilities_functions.Rmd’ SUMMARY: processing the following files failed:   ‘Analyzing_Similarities_between_Two_Long_Speeches.Rmd’   ‘Analyzing_Similarities_in_Conversational_Sequence_in_One_Dyad.Rmd’   ‘Analyzing_Similarities_in_Conversational_Sequences_across_Multiple_Dyads.Rmd’ Error: Vignette re-building failed. Execution halted
• checking PDF version of manual ... [5s/7s] OK
• checking HTML version of manual ... [2s/3s] OK
• checking for non-standard things in the check directory ... OK
• DONE

Status: 3 ERRORs