* using log directory 'd:/RCompile/CRANincoming/R-devel/NaileR.Rcheck' * using R Under development (unstable) (2024-07-15 r86902 ucrt) * using platform: x86_64-w64-mingw32 * R was compiled by gcc.exe (GCC) 13.2.0 GNU Fortran (GCC) 13.2.0 * running under: Windows Server 2022 x64 (build 20348) * using session charset: UTF-8 * checking for file 'NaileR/DESCRIPTION' ... OK * this is package 'NaileR' version '1.1.0' * package encoding: UTF-8 * checking CRAN incoming feasibility ... NOTE Maintainer: 'Sébastien Lê ' New submission Possibly misspelled words in DESCRIPTION: FactoMineR's (9:109) catdes (9:145) condes (9:153) descfreq (9:161) ollamar (9:175) Package has a VignetteBuilder field but no prebuilt vignette index. Found the following (possibly) invalid URLs: URL: https://cran.r-project.org/web/licenses (moved to https://cran.r-project.org/web/licenses/) From: README.md Status: 301 Message: Moved Permanently URL: https://cran.r-project.org/web/packages/FactoMineR/index.html From: README.md Status: 200 Message: OK CRAN URL not in canonical form URL: https://cran.r-project.org/web/packages/ollamar/index.html From: README.md Status: 200 Message: OK CRAN URL not in canonical form The canonical URL of the CRAN page for a package is https://CRAN.R-project.org/package=pkgname For content that is 'Moved Permanently', please change http to https, add trailing slashes, or replace the old by the new URL. Found the following (possibly) invalid file URI: URI: doc From: README.md * checking package namespace information ... OK * checking package dependencies ... NOTE Vignette dependency required without any vignettes:: 'knitr' * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking serialization versions ... OK * checking whether package 'NaileR' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking for future file timestamps ... 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 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 ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd line widths ... NOTE Rd file 'agri_studies.Rd': \examples lines wider than 100 characters: res_agri <- nail_condes(agri_work, num.var = 1, introduction = "These data were collected after a survey on students' expectations of a ... [TRUNCATED] Rd file 'beard_cont.Rd': \examples lines wider than 100 characters: res_beard <- nail_descfreq(beard_cont, introduction = 'A survey was conducted about beards and 8 types of beards were described. In the ... [TRUNCATED] Rd file 'beard_wide.Rd': \examples lines wider than 100 characters: res <- nail_sort(beard_wide[,1:5], name_size = 3, stimulus_id = "beard", introduction = "As a barber, you make recommendations based on ... [TRUNCATED] Rd file 'boss.Rd': \examples lines wider than 100 characters: intro = 'A study on "the ideal boss" was led on 73 participants. The study had 2 parts. In the first part, participants were given stat ... [TRUNCATED] requ = "Please describe, for each group, their ideal boss. Then, give each group a new name, based on your conclusions." res_boss <- nail_catdes(don_clust_boss, num.var = 40, introduction = intro, request = requ, isolate.groups = FALSE, drop.negative = TRU ... [TRUNCATED] Rd file 'dist_mat_llm.Rd': \examples lines wider than 100 characters: res_iris <- nail_catdes(iris, num.var = 5, introduction = "A study measured various parts of iris flowers from 3 different species: set ... [TRUNCATED] Rd file 'dist_ref_llm.Rd': \examples lines wider than 100 characters: res_iris <- nail_catdes(iris, num.var = 5, introduction = "A study measured various parts of iris flowers from 3 different species: set ... [TRUNCATED] Rd file 'glossophobia.Rd': \examples lines wider than 100 characters: res_mca_phobia <- FactoMineR::MCA(glossophobia, quali.sup = 26:41, level.ventil = 0.05, graph = FALSE) res_phobia <- nail_condes(phobia_work, num.var = 1, introduction = "These data were collected after a survey on participants' feelings ... [TRUNCATED] Rd file 'local_food.Rd': \examples lines wider than 100 characters: res_food <- nail_catdes(don_clust_food, num.var = ncol(don_clust_food), introduction = 'A study on sustainable food systems was led on ... [TRUNCATED] Rd file 'nail_catdes.Rd': \usage lines wider than 90 characters: "Based on the results, please describe what characterizes the individuals of each group and what sets them apart from the other gro ... [TRUNCATED] \examples lines wider than 100 characters: res_iris <- nail_catdes(iris, num.var = 5, introduction = "A study measured various parts of iris flowers from 3 different species: set ... [TRUNCATED] res_waste <- nail_catdes(don_clust_waste, num.var = ncol(don_clust_waste), introduction = 'These data were collected after a survey on ... [TRUNCATED] res_food <- nail_catdes(don_clust_food, num.var = ncol(don_clust_food), introduction = 'A study on sustainable food systems was led on ... [TRUNCATED] Rd file 'nail_condes.Rd': \usage lines wider than 90 characters: "Please explain what differentiates individuals from both sides of the scale. Then give a name to the scale, and briefly explain wh ... [TRUNCATED] \examples lines wider than 100 characters: names(decathlon) <- c('Time taken to complete the 100m', 'Distance reached for the long jump', 'Distance reached for the shot put', 'He ... [TRUNCATED] res_deca <- nail_condes(deca_work, num.var = 1, quanti.threshold = 1, quanti.cat = c('High', 'Low', 'Average'), introduction = "A study ... [TRUNCATED] res_agri <- nail_condes(agri_work, num.var = 1, introduction = "These data were collected after a survey on students' expectations of a ... [TRUNCATED] res_phobia <- nail_condes(phobia_work, num.var = 1, introduction = "These data were collected after a survey on participants' feelings ... [TRUNCATED] res_beard <- nail_condes(beard_work, num.var = 1, quanti.threshold = 0.5, quanti.cat = c('Very often', 'Never', 'Sometimes'), introduct ... [TRUNCATED] Rd file 'nail_descfreq.Rd': \examples lines wider than 100 characters: res_beard <- nail_descfreq(beard_cont, introduction = 'A survey was conducted about beards and 8 types of beards were described. I will ... [TRUNCATED] res_beard <- nail_descfreq(beard_cont, introduction = 'A survey was conducted about beards and 8 types of beards were described. In the ... [TRUNCATED] # for the following code to work, the response must have the beards' new names with this format: **B1: The Nice beard**, etc. rownames(children) <- c('No education', 'Elementary school', 'Middle school', 'High school', 'University') res_children <- nail_descfreq(children, introduction = 'The data used here is a contingency table that summarizes the answers given by ... [TRUNCATED] Rd file 'nail_sort.Rd': \examples lines wider than 100 characters: res <- nail_sort(beard_wide[,1:5], name_size = 3, stimulus_id = "beard", introduction = "As a barber, you make recommendations based on ... [TRUNCATED] Rd file 'nutriscore.Rd': \examples lines wider than 100 characters: res_mca_nutriscore <- MCA(nutriscore, quali.sup = 17:36, ncp = 15, level.ventil = 0.05, graph = FALSE) res_waste <- nail_catdes(don_clust_nutriscore, num.var = ncol(don_clust_nutriscore), introduction = 'These data were collected after a ... [TRUNCATED] Rd file 'waste.Rd': \examples lines wider than 100 characters: res_waste <- nail_catdes(don_clust_waste, num.var = ncol(don_clust_waste), introduction = 'These data were collected after a survey on ... [TRUNCATED] These lines will be truncated in the PDF manual. * 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 contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... OK * checking examples ... OK * checking PDF version of manual ... [15s] OK * checking HTML version of manual ... OK * DONE Status: 3 NOTEs