CRAN Package Check Results for Maintainer ‘Alboukadel Kassambara <alboukadel.kassambara at gmail.com>’

Last updated on 2026-02-06 11:51:34 CET.

Package ERROR NOTE OK
datarium 13
factoextra 13
fastqcr 13
ggcorrplot 2 11
ggpubr 13
rstatix 13
survminer 6 2 5

Package datarium

Current CRAN status: OK: 13

Package factoextra

Current CRAN status: NOTE: 13

Version: 1.0.7
Check: Rd files
Result: NOTE checkRd: (-1) fviz_nbclust.Rd:75: Lost braces; missing escapes or markup? 75 | (2001) proposed: "the smallest k such that gap(k) >= gap(k+1) - s_{k+1}". | ^ checkRd: (-1) fviz_nbclust.Rd:77: Lost braces; missing escapes or markup? 77 | SE.factor*s_{k+1}" where SE.factor is a numeric value which can be 1 | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

Package fastqcr

Current CRAN status: OK: 13

Package ggcorrplot

Current CRAN status: NOTE: 2, OK: 11

Version: 0.1.4.1
Check: DESCRIPTION meta-information
Result: NOTE Author field differs from that derived from Authors@R Author: ‘Alboukadel Kassambara [aut, cre], Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)’ Authors@R: ‘Alboukadel Kassambara [aut, cre], Indrajeet Patil [ctb] (ORCID: <https://orcid.org/0000-0003-1995-6531>, Twitter: @patilindrajeets)’ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Package ggpubr

Current CRAN status: OK: 13

Package rstatix

Current CRAN status: OK: 13

Package survminer

Current CRAN status: ERROR: 6, NOTE: 2, OK: 5

Version: 0.5.1
Check: examples
Result: ERROR Running examples in ‘survminer-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: surv_fit > ### Title: Create Survival Curves > ### Aliases: surv_fit > > ### ** Examples > > > library("survival") Attaching package: ‘survival’ The following object is masked from ‘package:survminer’: myeloma > library("magrittr") > > # Case 1: One formula and One data set > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > fit <- surv_fit(Surv(time, status) ~ sex, + data = colon) > surv_pvalue(fit) variable pval method pval.txt 1 sex 0.6107936 Log-rank p = 0.61 > > > # Case 2: List of formulas and One data set. > # - Different formulas are applied to the same data set > # - Returns a (named) list of survfit objects > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > # Create a named list of formulas > formulas <- list( + sex = Surv(time, status) ~ sex, + rx = Surv(time, status) ~ rx + ) > > # Fit survival curves for each formula > fit <- surv_fit(formulas, data = colon) > surv_pvalue(fit) $`colon::sex` variable pval method pval.txt 1 sex 0.6107936 Log-rank p = 0.61 $`colon::rx` variable pval method pval.txt 1 rx 4.990735e-08 Log-rank p < 0.0001 > > # Case 3: One formula and List of data sets > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > fit <- surv_fit(Surv(time, status) ~ sex, + data = list(colon, lung)) > surv_pvalue(fit) $`colon::sex` variable pval method pval.txt 1 sex 0.6107936 Log-rank p = 0.61 $`lung::sex` variable pval method pval.txt 1 sex 0.001311165 Log-rank p = 0.0013 > > > # Case 4: List of formulas and List of data sets > # - Each formula is applied to each of the data in the data list > # - argument: match.fd = FALSE > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > > # Create two data sets > set.seed(123) > colon1 <- dplyr::sample_frac(colon, 1/2) > set.seed(1234) > colon2 <- dplyr::sample_frac(colon, 1/2) > > # Create a named list of formulas > formula.list <- list( + sex = Surv(time, status) ~ sex, + adhere = Surv(time, status) ~ adhere, + rx = Surv(time, status) ~ rx + ) > > # Fit survival curves > fit <- surv_fit(formula.list, data = list(colon1, colon2), + match.fd = FALSE) Error: ! `combine()` was deprecated in dplyr 1.0.0 and is now defunct. ℹ Please use `vctrs::vec_c()` instead. Backtrace: ▆ 1. ├─survminer::surv_fit(...) 2. │ └─purrr::map(formula, .map_each, data) %>% dplyr::combine() 3. └─dplyr::combine(.) 4. └─lifecycle::deprecate_stop("1.0.0", "combine()", "vctrs::vec_c()") 5. └─lifecycle:::deprecate_stop0(msg) 6. └─rlang::cnd_signal(...) Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed ggsurvplot_group_by 7.436 0.070 9.749 ggsurvplot 6.783 0.024 8.020 ggsurvplot_add_all 5.188 0.032 7.886 ggsurvplot_facet 4.977 0.004 7.741 ggcoxdiagnostics 4.406 0.021 5.818 ggsurvevents 4.194 0.056 5.229 ggcoxfunctional 3.999 0.020 5.725 ggsurvplot_df 3.772 0.012 5.501 ggsurvplot_combine 3.377 0.000 5.007 Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.5.1
Check: examples
Result: ERROR Running examples in ‘survminer-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: surv_fit > ### Title: Create Survival Curves > ### Aliases: surv_fit > > ### ** Examples > > > library("survival") Attaching package: ‘survival’ The following object is masked from ‘package:survminer’: myeloma > library("magrittr") > > # Case 1: One formula and One data set > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > fit <- surv_fit(Surv(time, status) ~ sex, + data = colon) > surv_pvalue(fit) variable pval method pval.txt 1 sex 0.6107936 Log-rank p = 0.61 > > > # Case 2: List of formulas and One data set. > # - Different formulas are applied to the same data set > # - Returns a (named) list of survfit objects > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > # Create a named list of formulas > formulas <- list( + sex = Surv(time, status) ~ sex, + rx = Surv(time, status) ~ rx + ) > > # Fit survival curves for each formula > fit <- surv_fit(formulas, data = colon) > surv_pvalue(fit) $`colon::sex` variable pval method pval.txt 1 sex 0.6107936 Log-rank p = 0.61 $`colon::rx` variable pval method pval.txt 1 rx 4.990735e-08 Log-rank p < 0.0001 > > # Case 3: One formula and List of data sets > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > fit <- surv_fit(Surv(time, status) ~ sex, + data = list(colon, lung)) > surv_pvalue(fit) $`colon::sex` variable pval method pval.txt 1 sex 0.6107936 Log-rank p = 0.61 $`lung::sex` variable pval method pval.txt 1 sex 0.001311165 Log-rank p = 0.0013 > > > # Case 4: List of formulas and List of data sets > # - Each formula is applied to each of the data in the data list > # - argument: match.fd = FALSE > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > > # Create two data sets > set.seed(123) > colon1 <- dplyr::sample_frac(colon, 1/2) > set.seed(1234) > colon2 <- dplyr::sample_frac(colon, 1/2) > > # Create a named list of formulas > formula.list <- list( + sex = Surv(time, status) ~ sex, + adhere = Surv(time, status) ~ adhere, + rx = Surv(time, status) ~ rx + ) > > # Fit survival curves > fit <- surv_fit(formula.list, data = list(colon1, colon2), + match.fd = FALSE) Error: ! `combine()` was deprecated in dplyr 1.0.0 and is now defunct. ℹ Please use `vctrs::vec_c()` instead. Backtrace: ▆ 1. ├─survminer::surv_fit(...) 2. │ └─purrr::map(formula, .map_each, data) %>% dplyr::combine() 3. └─dplyr::combine(.) 4. └─lifecycle::deprecate_stop("1.0.0", "combine()", "vctrs::vec_c()") 5. └─lifecycle:::deprecate_stop0(msg) 6. └─rlang::cnd_signal(...) Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed ggsurvplot_group_by 4.648 0.024 5.427 ggsurvplot 4.215 0.019 5.254 Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.5.1
Check: examples
Result: ERROR Running examples in ‘survminer-Ex.R’ failed The error most likely occurred in: > ### Name: surv_fit > ### Title: Create Survival Curves > ### Aliases: surv_fit > > ### ** Examples > > > library("survival") Attaching package: ‘survival’ The following object is masked from ‘package:survminer’: myeloma > library("magrittr") > > # Case 1: One formula and One data set > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > fit <- surv_fit(Surv(time, status) ~ sex, + data = colon) > surv_pvalue(fit) variable pval method pval.txt 1 sex 0.6107936 Log-rank p = 0.61 > > > # Case 2: List of formulas and One data set. > # - Different formulas are applied to the same data set > # - Returns a (named) list of survfit objects > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > # Create a named list of formulas > formulas <- list( + sex = Surv(time, status) ~ sex, + rx = Surv(time, status) ~ rx + ) > > # Fit survival curves for each formula > fit <- surv_fit(formulas, data = colon) > surv_pvalue(fit) $`colon::sex` variable pval method pval.txt 1 sex 0.6107936 Log-rank p = 0.61 $`colon::rx` variable pval method pval.txt 1 rx 4.990735e-08 Log-rank p < 0.0001 > > # Case 3: One formula and List of data sets > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > fit <- surv_fit(Surv(time, status) ~ sex, + data = list(colon, lung)) > surv_pvalue(fit) $`colon::sex` variable pval method pval.txt 1 sex 0.6107936 Log-rank p = 0.61 $`lung::sex` variable pval method pval.txt 1 sex 0.001311165 Log-rank p = 0.0013 > > > # Case 4: List of formulas and List of data sets > # - Each formula is applied to each of the data in the data list > # - argument: match.fd = FALSE > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > > # Create two data sets > set.seed(123) > colon1 <- dplyr::sample_frac(colon, 1/2) > set.seed(1234) > colon2 <- dplyr::sample_frac(colon, 1/2) > > # Create a named list of formulas > formula.list <- list( + sex = Surv(time, status) ~ sex, + adhere = Surv(time, status) ~ adhere, + rx = Surv(time, status) ~ rx + ) > > # Fit survival curves > fit <- surv_fit(formula.list, data = list(colon1, colon2), + match.fd = FALSE) Error: ! `combine()` was deprecated in dplyr 1.0.0 and is now defunct. ℹ Please use `vctrs::vec_c()` instead. Backtrace: ▆ 1. ├─survminer::surv_fit(...) 2. │ └─purrr::map(formula, .map_each, data) %>% dplyr::combine() 3. └─dplyr::combine(.) 4. └─lifecycle::deprecate_stop("1.0.0", "combine()", "vctrs::vec_c()") 5. └─lifecycle:::deprecate_stop0(msg) 6. └─rlang::cnd_signal(...) Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-oldrel-windows-x86_64

Version: 0.5.1
Check: examples
Result: ERROR Running examples in ‘survminer-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: surv_fit > ### Title: Create Survival Curves > ### Aliases: surv_fit > > ### ** Examples > > > library("survival") Attaching package: ‘survival’ The following object is masked from ‘package:survminer’: myeloma > library("magrittr") > > # Case 1: One formula and One data set > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > fit <- surv_fit(Surv(time, status) ~ sex, + data = colon) > surv_pvalue(fit) variable pval method pval.txt 1 sex 0.6107936 Log-rank p = 0.61 > > > # Case 2: List of formulas and One data set. > # - Different formulas are applied to the same data set > # - Returns a (named) list of survfit objects > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > # Create a named list of formulas > formulas <- list( + sex = Surv(time, status) ~ sex, + rx = Surv(time, status) ~ rx + ) > > # Fit survival curves for each formula > fit <- surv_fit(formulas, data = colon) > surv_pvalue(fit) $`colon::sex` variable pval method pval.txt 1 sex 0.6107936 Log-rank p = 0.61 $`colon::rx` variable pval method pval.txt 1 rx 4.990735e-08 Log-rank p < 0.0001 > > # Case 3: One formula and List of data sets > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > fit <- surv_fit(Surv(time, status) ~ sex, + data = list(colon, lung)) > surv_pvalue(fit) $`colon::sex` variable pval method pval.txt 1 sex 0.6107936 Log-rank p = 0.61 $`lung::sex` variable pval method pval.txt 1 sex 0.001311165 Log-rank p = 0.0013 > > > # Case 4: List of formulas and List of data sets > # - Each formula is applied to each of the data in the data list > # - argument: match.fd = FALSE > #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: > > # Create two data sets > set.seed(123) > colon1 <- dplyr::sample_frac(colon, 1/2) > set.seed(1234) > colon2 <- dplyr::sample_frac(colon, 1/2) > > # Create a named list of formulas > formula.list <- list( + sex = Surv(time, status) ~ sex, + adhere = Surv(time, status) ~ adhere, + rx = Surv(time, status) ~ rx + ) > > # Fit survival curves > fit <- surv_fit(formula.list, data = list(colon1, colon2), + match.fd = FALSE) Error: ! `combine()` was deprecated in dplyr 1.0.0 and is now defunct. ℹ Please use `vctrs::vec_c()` instead. Backtrace: ▆ 1. ├─survminer::surv_fit(...) 2. │ └─purrr::map(formula, .map_each, data) %>% dplyr::combine() 3. └─dplyr::combine(.) 4. └─lifecycle::deprecate_stop("1.0.0", "combine()", "vctrs::vec_c()") 5. └─lifecycle:::deprecate_stop0(msg) 6. └─rlang::cnd_signal(...) Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed ggsurvplot_group_by 6.997 0.056 8.742 ggsurvplot 6.359 0.000 9.876 ggsurvplot_add_all 4.899 0.057 6.830 ggcoxdiagnostics 4.406 0.016 5.341 ggsurvplot_facet 4.416 0.000 5.543 ggsurvevents 4.213 0.040 5.123 ggsurvplot_df 3.630 0.004 5.469 ggcoxzph 3.570 0.035 5.034 Flavor: r-patched-linux-x86_64

Version: 0.5.1
Check: installed package size
Result: NOTE installed size is 6.0Mb sub-directories of 1Mb or more: doc 5.5Mb Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.