From cc825d70034d5655cd55b84a3aa128db82dc144c Mon Sep 17 00:00:00 2001 From: dicook Date: Thu, 11 Jul 2024 05:15:15 +1000 Subject: [PATCH] version ready to submit to CRAN --- NEWS.md | 4 ++-- cran-comments.md | 25 +++++++++++++++++++++---- vignettes/distances.Rmd | 5 ++--- vignettes/nullabor.Rmd | 13 ++++++------- 4 files changed, 31 insertions(+), 16 deletions(-) diff --git a/NEWS.md b/NEWS.md index a3f3d40..9b3769b 100644 --- a/NEWS.md +++ b/NEWS.md @@ -2,11 +2,11 @@ - removed dependency on reshape2 - adjusting other dependencies +- new theme to remove context from plots +- updated roxygen dependency # nullabor 0.3.9 -- new theme to remove context from plots -- updated roxygen dependency - CRAN fixes, minor code changes # nullabor 0.3.8 diff --git a/cran-comments.md b/cran-comments.md index cc53d96..22397a3 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -1,7 +1,24 @@ -# Addressing the requested fix from CRAN +## Overview -This update to the package is to address submission problems identified at: +These are small changes, including removing some dependencies. Also fixed issues at https://cran.rstudio.com//web/checks/check_results_nullabor.html. -https://win-builder.r-project.org/incoming_pretest/nullabor_0.3.8_20200212_055129/Windows/00check.log +── R CMD check results ────────────────────── nullabor 0.3.10 ──── +Duration: 1m 24.9s -https://win-builder.r-project.org/incoming_pretest/nullabor_0.3.8_20200212_055129/Debian/00check.log +0 errors ✔ | 0 warnings ✔ | 0 notes ✔ + +## Test environment + +* R version 4.4.1 (2024-06-14) -- "Race for Your Life" +* https://win-builder.r-project.org/ +* Linux: + +## Reverse dependencies + +Installing DEV version of nullabor +── CHECK ─────────────────────────────────────────── 3 packages ── +✔ agridat 1.23 ── E: 0 | W: 0 | N: 0 +✔ metaviz 0.3.1 ── E: 0 | W: 0 | N: 0 +✔ regressinator 0.1.3 ── E: 0 | W: 0 | N: 0 +OK: 3 +BROKEN: 0 diff --git a/vignettes/distances.Rmd b/vignettes/distances.Rmd index b398b67..7cb6a58 100644 --- a/vignettes/distances.Rmd +++ b/vignettes/distances.Rmd @@ -159,6 +159,5 @@ distplot(dist.vals) References ---------- -Roy Chowdhury, N. and Cook, D. and Hofmann, H. and Majumder, M. and Zhao, Y. (2014) -Utilizing Distance Metrics on Lineups to Examine What People Read From Data Plots, -http://arxiv.org/abs/1408.1889. +Roy Chowdhury, N. and Cook, D. and Hofmann, H. and Majumder, M. (2018) Measuring Lineup Difficulty By Matching Distance Metrics With Subject Choices in Crowd-Sourced Data, Journal of Computational and Graphical Statistics, 27(1), 132–145, +[https://doi.org/10.1080/10618600.2017.1356323](https://doi.org/10.1080/10618600.2017.1356323). diff --git a/vignettes/nullabor.Rmd b/vignettes/nullabor.Rmd index e9e4d28..14c99cf 100644 --- a/vignettes/nullabor.Rmd +++ b/vignettes/nullabor.Rmd @@ -140,16 +140,15 @@ visual_power(turk_results) References ---------- -Buja, A., Cook, D., Hofmann, H., Lawrence, M., Lee, E.-K., Swayne, D. F, Wickham, H. (2009) Statistical Inference for Exploratory Data Analysis and Model Diagnostics, Royal Society Philosophical - Transactions A, 367:4361--4383. +Buja, A., Cook, D., Hofmann, H., Lawrence, M., Lee, E.-K., Swayne, D. F, Wickham, H. (2009) Statistical Inference for Exploratory Data Analysis and Model Diagnostics, Royal Society Philosophical Transactions A, 367:4361--4383, [https://doi.org/10.1098/rsta.2009.0120](https://doi.org/10.1098/rsta.2009.0120). -Wickham, H., Cook, D., Hofmann, H. and Buja, A. (2010) Graphical Inference for Infovis, IEEE Transactions on Visualization and Computer Graphics, 16(6):973--979, [http://doi.ieeecomputersociety.org/10.1109/TVCG.2010.161](http://doi.ieeecomputersociety.org/10.1109/TVCG.2010.161). Best paper award. +Wickham, H., Cook, D., Hofmann, H. and Buja, A. (2010) Graphical Inference for Infovis, IEEE Transactions on Visualization and Computer Graphics, 16(6):973--979, [https://doi.ieeecomputersociety.org/10.1109/TVCG.2010.161](https://doi.ieeecomputersociety.org/10.1109/TVCG.2010.161). Best paper award. -Hofmann, H., Follett, L., Majumder, M. and Cook, D. (2012) Graphical Tests for Power Comparison of Competing Designs, IEEE Transactions on Visualization and Computer Graphics, 18(12):2441--2448, [http://doi.ieeecomputersociety.org/10.1109/TVCG.2012.230](http://doi.ieeecomputersociety.org/10.1109/TVCG.2012.230). +Hofmann, H., Follett, L., Majumder, M. and Cook, D. (2012) Graphical Tests for Power Comparison of Competing Designs, IEEE Transactions on Visualization and Computer Graphics, 18(12):2441--2448, [https://doi.ieeecomputersociety.org/10.1109/TVCG.2012.230](https://doi.ieeecomputersociety.org/10.1109/TVCG.2012.230). -Majumder, M., Hofmann, H. and Cook, D. (2013) Validation of Visual Statistical Inference, Applied to Linear Models, Journal of the American Statistical Association, 108(503):942--956. Featured Article http://amstat.tandfonline.com/doi/pdf/10.1080/01621459.2013.808157. +Majumder, M., Hofmann, H. and Cook, D. (2013) Validation of Visual Statistical Inference, Applied to Linear Models, Journal of the American Statistical Association, 108(503):942--956. Featured Article [https://doi.org/10.1080/01621459.2013.808157](https://doi.org/10.1080/01621459.2013.808157). -Roy Chowdhury, N., Cook, D., Hofmann, H., Majumder, M., Lee, E. K., & Toth, A. L. (2014). Using visual statistical inference to better understand random class separations in high dimension, low sample size data. Computational Statistics, 30(2), 293-316. [10.1007/s00180-014-0534-x](http://dx.doi.org/10.1007/s00180-014-0534-x) +Roy Chowdhury, N., Cook, D., Hofmann, H., Majumder, M., Lee, E. K., & Toth, A. L. (2014). Using visual statistical inference to better understand random class separations in high dimension, low sample size data. Computational Statistics, 30(2), 293-316. [https://doi.org/10.1007/s00180-014-0534-x](https://doi.org/10.1007/s00180-014-0534-x) Majumder, M. and Hofmann, H. and Cook, D. (2014) Human Factors Influencing Visual Statistical Inference, -[http://arxiv.org/abs/1408.1974](http://arxiv.org/abs/1408.1974). +[https://doi.org/10.48550/arXiv.1408.1974](https://doi.org/10.48550/arXiv.1408.1974).