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I received the following warning message upon running the below code.
Cheers,
Ronan
mcmc_plot(teno_J1_epistasis, type = "acf")
`Warning message:
-The facets argument of facet_grid() is deprecated as of ggplot2 2.2.0.
ℹ Please use the rows argument instead.
ℹ The deprecated feature was likely used in the bayesplot package.
Please report the issue at https://github.com/stan-dev/bayesplot/issues/.'
sessionInfo()
R version 4.2.2 (2022-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)
The same message occurs when using ac in the plot function for the plotfun argument:
plot(model, plotfun = "ac")
Warning message:
The facets argument of facet_grid() is deprecated as of ggplot2 2.2.0.
ℹ Please use the rows argument instead.
ℹ The deprecated feature was likely used in the bayesplot package.
Please report the issue at https://github.com/stan-dev/bayesplot/issues/.
This warning is displayed once every 8 hours.
Call lifecycle::last_lifecycle_warnings() to see where this warning was generated.
Dear,
I received the following warning message upon running the below code.
Cheers,
Ronan
mcmc_plot(teno_J1_epistasis, type = "acf")
`Warning message:
-The facets argument of facet_grid() is deprecated as of ggplot2 2.2.0.
ℹ Please use the rows argument instead.
ℹ The deprecated feature was likely used in the bayesplot package.
Please report the issue at https://github.com/stan-dev/bayesplot/issues/.'
sessionInfo()
R version 4.2.2 (2022-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)
Matrix products: default
locale:
[1] LC_COLLATE=Finnish_Finland.utf8 LC_CTYPE=Finnish_Finland.utf8
[3] LC_MONETARY=Finnish_Finland.utf8 LC_NUMERIC=C
[5] LC_TIME=Finnish_Finland.utf8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] bayesplot_1.10.0 tidybayes_3.0.4 psych_2.3.3 sjPlot_2.8.14
[5] reshape_0.8.9 brms_2.19.0 Rcpp_1.0.10 lubridate_1.9.2
[9] forcats_1.0.0 stringr_1.5.0 purrr_1.0.1 tidyr_1.3.0
[13] tibble_3.2.1 ggplot2_3.4.2 tidyverse_2.0.0 bestNormalize_1.9.0
[17] DHARMa_0.4.6 glmmTMB_1.1.7 dplyr_1.1.2 readr_2.1.4
loaded via a namespace (and not attached):
[1] backports_1.4.1 plyr_1.8.8 igraph_1.4.2 svUnit_1.0.6
[5] TMB_1.9.4 splines_4.2.2 crosstalk_1.2.0 listenv_0.9.0
[9] TH.data_1.1-2 rstantools_2.3.1 inline_0.3.19 digest_0.6.31
[13] butcher_0.3.2 foreach_1.5.2 htmltools_0.5.5 fansi_1.0.4
[17] magrittr_2.0.3 checkmate_2.2.0 doParallel_1.0.17 tzdb_0.4.0
[21] recipes_1.0.6 globals_0.16.2 modelr_0.1.11 gower_1.0.1
[25] RcppParallel_5.1.7 matrixStats_0.63.0 xts_0.13.1 sandwich_3.0-2
[29] hardhat_1.3.0 timechange_0.2.0 prettyunits_1.1.1 colorspace_2.1-0
[33] ggdist_3.3.0 xfun_0.39 jsonlite_1.8.4 crayon_1.5.2
[37] callr_3.7.3 lme4_1.1-33 survival_3.5-5 zoo_1.8-12
[41] iterators_1.0.14 glue_1.6.2 gtable_0.3.3 ipred_0.9-14
[45] emmeans_1.8.6 sjstats_0.18.2 sjmisc_2.8.9 V8_4.3.0
[49] distributional_0.3.2 pkgbuild_1.4.0 rstan_2.26.21 future.apply_1.10.0
[53] abind_1.4-5 scales_1.2.1 mvtnorm_1.1-3 rngtools_1.5.2
[57] ggeffects_1.2.2 miniUI_0.1.1.1 performance_0.10.3 xtable_1.8-4
[61] StanHeaders_2.26.21 stats4_4.2.2 lava_1.7.2.1 prodlim_2023.03.31
[65] DT_0.27 htmlwidgets_1.6.2 threejs_0.3.3 arrayhelpers_1.1-0
[69] posterior_1.4.1 ellipsis_0.3.2 pkgconfig_2.0.3 loo_2.6.0
[73] farver_2.1.1 nnet_7.3-19 utf8_1.2.3 tidyselect_1.2.0
[77] rlang_1.1.1 reshape2_1.4.4 later_1.3.1 munsell_0.5.0
[81] tools_4.2.2 cli_3.6.1 generics_0.1.3 sjlabelled_1.2.0
[85] broom_1.0.4 fastmap_1.1.1 knitr_1.42 processx_3.8.1
[89] future_1.32.0 nlme_3.1-162 doRNG_1.8.6 mime_0.12
[93] compiler_4.2.2 shinythemes_1.2.0 rstudioapi_0.14 curl_5.0.0
[97] stringi_1.7.12 ps_1.7.5 Brobdingnag_1.2-9 lattice_0.21-8
[101] Matrix_1.5-4 nloptr_2.0.3 markdown_1.7 shinyjs_2.1.0
[105] tensorA_0.36.2 vctrs_0.6.2 pillar_1.9.0 lifecycle_1.0.3
[109] bridgesampling_1.1-2 estimability_1.4.1 insight_0.19.1.1 data.table_1.14.8
[113] httpuv_1.6.11 R6_2.5.1 promises_1.2.0.1 gridExtra_2.3
[117] parallelly_1.35.0 codetools_0.2-19 boot_1.3-28.1 colourpicker_1.2.0
[121] MASS_7.3-60 gtools_3.9.4 withr_2.5.0 mnormt_2.1.1
[125] shinystan_2.6.0 multcomp_1.4-23 bayestestR_0.13.1 parallel_4.2.2
[129] hms_1.1.3 grid_4.2.2 rpart_4.1.19 timeDate_4022.108
[133] coda_0.19-4 class_7.3-22 minqa_1.2.5 littleboxes_0.1.0
[137] numDeriv_2016.8-1.1 shiny_1.7.4 base64enc_0.1-3 dygraphs_1.1.1.6
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