I would like to know how I can solve the problem of accents and special characters, I don't know why special characters (´,ñ, etc) appear wrong, with the code I don't have any problem but when running the shiny app all the labels where this type of characters are appear as an attachment in the image below. I have read about saving with utf-8 encoding but the problem is still not fixed, below I share information about my session.
wrong labels: Número, Gráfico, Comunicación
R version 3.6.3 (2020-02-29)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)
Matrix products: default
locale:
[1] LC_COLLATE=Spanish_Spain.1252 LC_CTYPE=Spanish_Spain.1252
[3] LC_MONETARY=Spanish_Spain.1252 LC_NUMERIC=C
[5] LC_TIME=Spanish_Spain.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
[1] stringi_1.6.1 plotly_4.10.0 ggplot2_3.3.5
[4] dplyr_1.0.7 shinyFiles_0.9.1 visNetwork_2.1.0
[7] openxlsx_4.2.4 shinyalert_2.0.0 lubridate_1.7.10
[10] data.table_1.14.2 DT_0.20 shinyjs_2.0.0
[13] shiny_1.7.1
loaded via a namespace (and not attached):
[1] Rcpp_1.0.6 lattice_0.20-38 tidyr_1.1.4
[4] assertthat_0.2.1 digest_0.6.27 utf8_1.2.1
[7] mime_0.10 R6_2.5.1 evaluate_0.14
[10] httr_1.4.2 pillar_1.6.4 rlang_0.4.11
[13] uuid_0.1-4 lazyeval_0.2.2 fontawesome_0.2.2
[16] rstudioapi_0.13 jquerylib_0.1.4 rmarkdown_2.11
[19] foreign_0.8-75 htmlwidgets_1.5.4 munsell_0.5.0
[22] compiler_3.6.3 httpuv_1.6.1 xfun_0.30
[25] pkgconfig_2.0.3 htmltools_0.5.2 tidyselect_1.1.1
[28] tibble_3.1.1 fansi_0.4.2 viridisLite_0.4.0
[31] crayon_1.4.2 withr_2.4.2 later_1.2.0
[34] grid_3.6.3 jsonlite_1.7.2 xtable_1.8-4
[37] gtable_0.3.0 lifecycle_1.0.1 DBI_1.1.2
[40] magrittr_2.0.1 scales_1.1.1 zip_2.2.0
[43] cli_3.1.0 cachem_1.0.4 fs_1.5.0
[46] promises_1.2.0.1 sp_1.4-6 bslib_0.3.1
[49] ellipsis_0.3.2 generics_0.1.1 vctrs_0.3.8
[52] tools_3.6.3 glue_1.4.2 purrr_0.3.4
[55] crosstalk_1.1.1 rsconnect_0.8.25 fastmap_1.1.0
[58] yaml_2.2.1 colorspace_2.0-1 maptools_1.1-2
[61] knitr_1.36 sass_0.4.0
Related
I've tried merge and update columns values with this code.
For now the joined fields are correct. (#1)
Now I want update the fields of column.x with values in column.y.
I'm using the second part (#2) but without success.
#1 - code to merge table 'parcelas_sql' with 'tbd_con_sig' by 'codigo'
join_sig_csv <- merge(parcelas_sql, tbd_cons_sig, by.x = "codigo", by.y = "codigo", duplicateGeoms=TRUE)
#2 - update field 'n.cont.x' with 'n.cont.y' values
join_sig_csv[join_sig_csv$n.cont.x == n.cont.x] <- n.cont.y
error_message:
Error in h(simpleError(msg, call)) :
error in evaluating the argument 'i' in selecting a method for function '[<-': object 'n.cont.x' not found
-------------------------------------- sessionInfo() -----------------
version 4.1.2 (2021-11-01)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1
Matrix products: default
locale:
[1] LC_COLLATE=Portuguese_Portugal.1252 LC_CTYPE=Portuguese_Portugal.1252 LC_MONETARY=Portuguese_Portugal.1252 LC_NUMERIC=C
[5] LC_TIME=Portuguese_Portugal.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] RODBC_1.3-19 maptools_1.1-4 sf_1.0-7 terra_1.5-21 spData_2.0.1 rgdal_1.5-32 rgeos_0.5-9 sp_1.4-6 rvest_1.0.2 showtext_0.9-5
[11] showtextdb_3.0 sysfonts_0.8.8 classInt_0.4-3 tmap_3.3-3 lubridate_1.8.0 fs_1.5.2 forcats_0.5.1 stringr_1.4.0 dplyr_1.0.7 purrr_0.3.4
[21] readr_2.1.1 tidyr_1.1.4 tibble_3.1.6 ggplot2_3.3.5 tidyverse_1.3.1
loaded via a namespace (and not attached):
[1] RColorBrewer_1.1-2 httr_1.4.2 tools_4.1.2 backports_1.4.1 utf8_1.2.2 R6_2.5.1
[7] KernSmooth_2.23-20 DBI_1.1.2 colorspace_2.0-2 raster_3.5-15 withr_2.4.3 tidyselect_1.1.1
[13] leaflet_2.1.1 compiler_4.1.2 leafem_0.2.0 cli_3.1.0 xml2_1.3.3 scales_1.1.1
[19] proxy_0.4-26 digest_0.6.29 foreign_0.8-81 base64enc_0.1-3 dichromat_2.0-0.1 pkgconfig_2.0.3
[25] htmltools_0.5.2 dbplyr_2.1.1 fastmap_1.1.0 htmlwidgets_1.5.4 rlang_0.4.12 readxl_1.3.1
[31] rstudioapi_0.13 generics_0.1.1 jsonlite_1.7.2 crosstalk_1.2.0 magrittr_2.0.1 Rcpp_1.0.7
[37] munsell_0.5.0 fansi_0.5.0 abind_1.4-5 lifecycle_1.0.1 stringi_1.7.6 leafsync_0.1.0
[43] tmaptools_3.1-1 grid_4.1.2 parallel_4.1.2 crayon_1.4.2 lattice_0.20-45 stars_0.5-5
[49] haven_2.4.3 hms_1.1.1 pillar_1.6.4 codetools_0.2-18 reprex_2.0.1 XML_3.99-0.8
[55] glue_1.6.0 leaflet.providers_1.9.0 modelr_0.1.8 png_0.1-7 vctrs_0.3.8 tzdb_0.2.0
[61] cellranger_1.1.0 gtable_0.3.0 assertthat_0.2.1 lwgeom_0.2-8 broom_0.7.11 e1071_1.7-9
[67] class_7.3-19 viridisLite_0.4.0 units_0.8-0 ellipsis_0.3.2
I recently updated my R (from 4.0 to 4.2) and now mice() runs much slower on the same data. Has this happened to anyone else ?
Maybe my .Renviron got reset and something like the R_MAX_VSIZE needs to change ? It doesn't seem to help mice().
Thank you !
> sessionInfo()
R version 4.2.0 (2022-04-22)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Monterey 12.3.1
Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] mice_3.14.0 bigrquery_1.4.0 forcats_0.5.1 stringr_1.4.0 dplyr_1.0.9
[6] purrr_0.3.4 readr_2.1.2 tidyr_1.2.0 tibble_3.1.7 ggplot2_3.3.6
[11] tidyverse_1.3.1 sqldf_0.4-11 RSQLite_2.2.14 gsubfn_0.7 proto_1.0.0
[16] mgcv_1.8-40 nlme_3.1-157 civis_3.0.0
loaded via a namespace (and not attached):
[1] httr_1.4.3 bit64_4.0.5 jsonlite_1.8.0 splines_4.2.0 modelr_0.1.8
[6] assertthat_0.2.1 blob_1.2.3 cellranger_1.1.0 progress_1.2.2 globals_0.15.0
[11] pillar_1.7.0 backports_1.4.1 lattice_0.20-45 glue_1.6.2 chron_2.3-56
[16] digest_0.6.29 rvest_1.0.2 colorspace_2.0-3 Matrix_1.4-1 pkgconfig_2.0.3
[21] broom_0.8.0 listenv_0.8.0 haven_2.5.0 scales_1.2.0 tzdb_0.3.0
[26] generics_0.1.2 ellipsis_0.3.2 cachem_1.0.6 withr_2.5.0 cli_3.3.0
[31] magrittr_2.0.3 crayon_1.5.1 readxl_1.4.0 memoise_2.0.1 fs_1.5.2
[36] future_1.25.0 fansi_1.0.3 parallelly_1.31.1 xml2_1.3.3 prettyunits_1.1.1
[41] tools_4.2.0 hms_1.1.1 gargle_1.2.0 lifecycle_1.0.1 munsell_0.5.0
[46] reprex_2.0.1 compiler_4.2.0 rlang_1.0.2 grid_4.2.0 rstudioapi_0.13
[51] arrow_8.0.0 gtable_0.3.0 codetools_0.2-18 DBI_1.1.2 curl_4.3.2
[56] brutils_0.1.0 R6_2.5.1 lubridate_1.8.0 fastmap_1.1.0 bit_4.0.4
[61] utf8_1.2.2 stringi_1.7.6 parallel_4.2.0 Rcpp_1.0.8.3 vctrs_0.4.1
[66] dbplyr_2.1.1 tidyselect_1.1.2
Sadly I don't have sessionInfo() for my previous version of R.
I'm trying to export table made with kableExtra in R. It looks ok in the R Studio environment but if I try to export it it gives me this error:
> kable(csv) %>%
+ kable_styling("striped", full_width = F, htmltable_class = 'Liberation Sans') %>%
+ kable_minimal() %>%
+ save_kable(file = paste0(outdir, name, '.png'), bs_theme = "flatly",
+ zoom = 1.5)
QStandardPaths: XDG_RUNTIME_DIR not set, defaulting to '/tmp/runtime-cesarkero'
error: XDG_RUNTIME_DIR not set in the environment.
TypeError: Attempting to change the setter of an unconfigurable property.
TypeError: Attempting to change the setter of an unconfigurable property.
Error in magick_image_trim(image, fuzz) :
rsession: geometry does not contain image `/home/cesarkero/HDD/D4/GoogleDrive/Proyectos/Master_UNED/01_Materias/06_EE/07_Trabajo/03_Resultados/04_CONSOLIDADOS/07a.png' # warning/attribute.c/GetImageBoundingBox/247
The file is exported but totally empty.
Here is the file used as csv object: https://drive.google.com/file/d/1fmplGNKB7MSKvXpNI_YrThE1F2EKszTf/view?usp=sharing
Update 19/04/2022
If I try this I get a similar error:
> webshot::install_phantomjs()
Error: invalid version specification ‘QStandardPaths: XDG_RUNTIME_DIR not set, defaulting to '/tmp/runtime-cesarkero'’
I had already installed phantomjs in linux terminal with:
sudo apt-get install -y phantomjs
Here is my sessionInfo():
> sessionInfo()
R version 4.1.3 (2022-03-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.4 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so.3
locale:
[1] LC_CTYPE=es_ES.UTF-8 LC_NUMERIC=C
[3] LC_TIME=es_ES.UTF-8 LC_COLLATE=es_ES.UTF-8
[5] LC_MONETARY=es_ES.UTF-8 LC_MESSAGES=es_ES.UTF-8
[7] LC_PAPER=es_ES.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=es_ES.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] landtools_0.1.0 lubridate_1.8.0 plyr_1.8.6
[4] data.table_1.14.2 raster_3.5-15 rgeos_0.5-9
[7] rgdal_1.5-28 sp_1.4-6 exifr_0.3.2
[10] nngeo_0.4.5 spatstat_2.3-3 spatstat.linnet_2.3-2
[13] spatstat.core_2.4-0 rpart_4.1.16 nlme_3.1-157
[16] spatstat.random_2.1-0 spatstat.geom_2.3-2 spatstat.data_2.1-2
[19] purrr_0.3.4 readODS_1.7.0 stringr_1.4.0
[22] mapview_2.10.0 dplyr_1.0.8 readr_2.1.2
[25] sf_1.0-7 magrittr_2.0.3 magick_2.7.3
[28] kableExtra_1.3.4
loaded via a namespace (and not attached):
[1] spatstat.sparse_2.1-0 satellite_1.0.4 webshot_0.5.2
[4] httr_1.4.2 tools_4.1.3 utf8_1.2.2
[7] R6_2.5.1 KernSmooth_2.23-20 DBI_1.1.2
[10] mgcv_1.8-40 colorspace_2.0-3 processx_3.5.2
[13] tidyselect_1.1.2 leaflet_2.1.0 compiler_4.1.3
[16] leafem_0.1.6 cli_3.2.0 rvest_1.0.2
[19] xml2_1.3.3 scales_1.1.1 classInt_0.4-3
[22] callr_3.7.0 proxy_0.4-26 rappdirs_0.3.3
[25] goftest_1.2-3 systemfonts_1.0.4 digest_0.6.29
[28] foreign_0.8-82 spatstat.utils_2.3-0 rmarkdown_2.13
[31] svglite_2.1.0 base64enc_0.1-3 pkgconfig_2.0.3
[34] htmltools_0.5.2 fastmap_1.1.0 htmlwidgets_1.5.4
[37] rlang_1.0.2 rstudioapi_0.13 generics_0.1.2
[40] crosstalk_1.2.0 Matrix_1.4-1 Rcpp_1.0.8.2
[43] munsell_0.5.0 fansi_1.0.3 abind_1.4-5
[46] lifecycle_1.0.1 terra_1.5-21 stringi_1.7.6
[49] maptools_1.1-3 grid_4.1.3 crayon_1.5.1
[52] deldir_1.0-6 lattice_0.20-45 splines_4.1.3
[55] tensor_1.5 hms_1.1.1 ps_1.6.0
[58] knitr_1.37 pillar_1.7.0 codetools_0.2-18
[61] stats4_4.1.3 glue_1.6.2 evaluate_0.15
[64] png_0.1-7 vctrs_0.4.0 tzdb_0.2.0
[67] polyclip_1.10-0 assertthat_0.2.1 xfun_0.30
[70] e1071_1.7-9 class_7.3-20 viridisLite_0.4.0
[73] tibble_3.1.6 units_0.8-0 ellipsis_0.3.2
First you need to install the phantomjs from the webshot package using the following code:
webshot::install_phantomjs()
After that, you can run the following code which will output your table as table.png:
library(knitr)
library(kableExtra)
library(magrittr)
kable(csv) %>%
kable_styling("striped", full_width = F, htmltable_class = 'Liberation Sans') %>%
kable_minimal() %>%
save_kable(file = "table.png", bs_theme = "flatly", zoom = 1.5)
The output looks like this:
Please note that your table is really big.
Here is my sessionInfo:
> sessionInfo()
R version 4.1.0 (2021-05-18)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS 12.3.1
Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
locale:
[1] nl_NL.UTF-8/nl_NL.UTF-8/nl_NL.UTF-8/C/nl_NL.UTF-8/nl_NL.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] readxl_1.3.1 ggforce_0.3.3 dummies_1.5.6 plyr_1.8.6 magrittr_2.0.3 knitr_1.37
[7] kableExtra_1.3.4 terra_1.5-21 reshape_0.8.8 epitools_0.5-10.1 forcats_0.5.1 stringr_1.4.0
[13] readr_2.1.2 tidyverse_1.3.1 DALEXtra_2.1.1 DALEX_2.4.0 mlbench_2.1-3 yardstick_0.0.9
[19] workflowsets_0.1.0 workflows_0.2.4 tune_0.1.6 tidyr_1.2.0 tibble_3.1.6 rsample_0.1.1
[25] recipes_0.2.0 purrr_0.3.4 parsnip_0.2.0 modeldata_0.1.1 infer_1.0.0 ggplot2_3.3.5
[31] dplyr_1.0.8 dials_0.1.0 scales_1.1.1 broom_0.7.12 tidymodels_0.1.4 mapview_2.10.0
loaded via a namespace (and not attached):
[1] utf8_1.2.2 reticulate_1.24 tidyselect_1.1.2 htmlwidgets_1.5.4 grid_4.1.0 pROC_1.18.0
[7] munsell_0.5.0 codetools_0.2-18 units_0.8-0 future_1.24.0 withr_2.5.0 colorspace_2.0-3
[13] highr_0.9 uuid_1.0-4 rstudioapi_0.13 stats4_4.1.0 Rttf2pt1_1.3.8 listenv_0.8.0
[19] labeling_0.4.2 polyclip_1.10-0 plotROC_2.2.1 bit64_4.0.5 DiceDesign_1.9 farver_2.1.0
[25] rprojroot_2.0.2 parallelly_1.30.0 vctrs_0.4.0 generics_0.1.2 ipred_0.9-12 xfun_0.30
[31] R6_2.5.1 doParallel_1.0.17 ggiraph_0.8.2 flexmix_2.3-17 lhs_1.1.4 assertthat_0.2.1
[37] vroom_1.5.7 nnet_7.3-17 gtable_0.3.0 globals_0.14.0 processx_3.5.2 timeDate_3043.102
[43] rlang_1.0.2 systemfonts_1.0.4 modMax_1.1 splines_4.1.0 rgdal_1.5-28 extrafontdb_1.0
[49] lazyeval_0.2.2 ModelMetrics_1.2.2.2 yaml_2.3.5 reshape2_1.4.4 modelr_0.1.8 crosstalk_1.2.0
[55] backports_1.4.1 caret_6.0-90 extrafont_0.17 tools_4.1.0 lava_1.6.10 ellipsis_0.3.2
[61] raster_3.5-15 jquerylib_0.1.4 proxy_0.4-26 Rcpp_1.0.8.3 base64enc_0.1-3 progress_1.2.2
[67] classInt_0.4-3 ps_1.6.0 prettyunits_1.1.1 rpart_4.1.16 haven_2.4.3 fs_1.5.2
[73] here_1.0.1 leafem_0.1.6 furrr_0.2.3 magick_2.7.3 data.table_1.14.2 SparseM_1.81
[79] reprex_2.0.1 GPfit_1.0-8 hms_1.1.1 evaluate_0.15 leaflet_2.0.3.9000 compiler_4.1.0
[85] ingredients_2.2.0 KernSmooth_2.23-20 crayon_1.5.1 htmltools_0.5.2 tzdb_0.2.0 lubridate_1.8.0
[91] DBI_1.1.2 tweenr_1.0.2 dbplyr_2.1.1 MASS_7.3-55 sf_1.0-7 Matrix_1.4-0
[97] cli_3.2.0 parallel_4.1.0 gower_1.0.0 igraph_1.2.11 pkgconfig_2.0.3 sp_1.4-6
[103] plotly_4.10.0 xml2_1.3.3 foreach_1.5.2 svglite_2.1.0 bslib_0.3.1 hardhat_0.2.0
[109] webshot_0.5.2 prodlim_2019.11.13 rvest_1.0.2 callr_3.7.0 digest_0.6.29 rmarkdown_2.13
[115] cellranger_1.1.0 kernlab_0.9-29 gtools_3.9.2 satellite_1.0.4 modeltools_0.2-23 lifecycle_1.0.1
[121] nlme_3.1-155 jsonlite_1.8.0 viridisLite_0.4.0 fansi_1.0.3 pillar_1.7.0 lattice_0.20-45
[127] fastmap_1.1.0 httr_1.4.2 survival_3.3-1 glue_1.6.2 png_0.1-7 iterators_1.0.14
[133] bit_4.0.4 class_7.3-20 stringi_1.7.6 sass_0.4.1 e1071_1.7-9 future.apply_1.8.1
I've been regularly loading data from my company database. Yesterday I installed R 4.1.3. Since then, the encoding of the data I load using pool is messed up. Not sure what encoding is used, but I'd need UTF-8.
I checked on my colleague's computer, who is still running R 4.1.2, and with the exact same code he doesn't have that issue. Any idea why? And possibly if I can set a global parameter for that?
My session info:
> sessionInfo()
R version 4.1.3 (2022-03-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 22000)
Matrix products: default
locale:
[1] LC_COLLATE=English_Switzerland.1252 LC_CTYPE=English_Switzerland.1252 LC_MONETARY=English_Switzerland.1252 LC_NUMERIC=C
[5] LC_TIME=English_Switzerland.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] showtext_0.9-5 showtextdb_3.0 sysfonts_0.8.8 ggnewscale_0.4.6 scales_1.1.1 hrbrthemes_0.8.0 ggthemes_4.2.4 pool_0.1.6
[9] highcharter_0.9.4 reshape2_1.4.4 lubridate_1.8.0 zoo_1.8-9 viridis_0.6.2 viridisLite_0.4.0 forcats_0.5.1 stringr_1.4.0
[17] dplyr_1.0.8 purrr_0.3.4 readr_2.1.2 tidyr_1.2.0 tibble_3.1.6 ggplot2_3.3.5 tidyverse_1.3.1
loaded via a namespace (and not attached):
[1] httr_1.4.2 RMySQL_0.10.23 jsonlite_1.8.0 modelr_0.1.8 assertthat_0.2.1 TTR_0.24.3 cellranger_1.1.0 yaml_2.3.5
[9] gdtools_0.2.4 Rttf2pt1_1.3.10 pillar_1.7.0 backports_1.4.1 lattice_0.20-45 glue_1.6.2 rlist_0.4.6.2 extrafontdb_1.0
[17] digest_0.6.29 rvest_1.0.2 colorspace_2.0-3 htmltools_0.5.2 plyr_1.8.6 pkgconfig_2.0.3 broom_0.7.12 haven_2.4.3
[25] later_1.3.0 tzdb_0.2.0 generics_0.1.2 ellipsis_0.3.2 withr_2.5.0 cli_3.2.0 quantmod_0.4.18 magrittr_2.0.2
[33] crayon_1.5.0 readxl_1.3.1 evaluate_0.15 fs_1.5.2 fansi_1.0.2 xts_0.12.1 xml2_1.3.3 data.table_1.14.2
[41] tools_4.1.3 hms_1.1.1 lifecycle_1.0.1 munsell_0.5.0 reprex_2.0.1 compiler_4.1.3 systemfonts_1.0.4 rlang_1.0.2
[49] grid_4.1.3 rstudioapi_0.13 htmlwidgets_1.5.4 igraph_1.2.11 rmarkdown_2.13 gtable_0.3.0 DBI_1.1.2 curl_4.3.2
[57] R6_2.5.1 gridExtra_2.3 knitr_1.37 fastmap_1.1.0 extrafont_0.17 utf8_1.2.2 stringi_1.7.6 Rcpp_1.0.8.3
I recently installed a daily build version of R Studio, 1.4.671. Since that installation, anything that runs in the viewer (e.g. gt or lavaanPlot) gives me an error like this:
/session/viewhtml528813ce72d/index.html?viewer_pane=1&capabilities=1&host=http%3A%2F%2F127.0.0.1%3A27742 not found
I have fully uninstalled 1.4.671, restarted my computer, and reinstalled the version that worked this morning, 1.3.1056. Not sure
This is becoming quite a problem because I am not able to easily see any model coefficients that I am currently working on (in a neat way, they are messy in the console).
I have also reset RStudio's state following https://support.rstudio.com/hc/en-us/articles/200534577-Resetting-RStudio-s-State and removed my .Renviron file.
Update: if the error shows but I choose to export as HTML, the HTML file works.
Update2: both running Shiny and knitting an RMarkdown document to HTML works. It's just displaying something inside RStudio's viewer that is causing issues.
R version 4.0.0 (2020-04-24)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 17763)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
[1] gt_0.2.1 patchwork_1.0.0 waffle_1.0.1
[4] plotly_4.9.2.1 ggstance_0.3.4 ggridges_0.5.2
[7] foreign_0.8-78 gghighlight_0.3.0 gridExtra_2.3
[10] readxl_1.3.1 emmeans_1.4.7 broom_0.5.6
[13] fastDummies_1.6.1 modelsummary_0.5.0 tables_0.9.3
[16] gtsummary_1.3.2 janitor_2.0.1 haven_2.3.1
[19] forcats_0.5.0 stringr_1.4.0 dplyr_1.0.0
[22] purrr_0.3.4 readr_1.3.1 tidyr_1.1.0
[25] tibble_3.0.1 ggplot2_3.3.1 tidyverse_1.3.0
loaded via a namespace (and not attached):
[1] nlme_3.1-147 fs_1.4.1 lubridate_1.7.8
[4] RColorBrewer_1.1-2 httr_1.4.1 tools_4.0.0
[7] backports_1.1.7 DT_0.13 R6_2.4.1
[10] DBI_1.1.0 lazyeval_0.2.2 colorspace_1.4-1
[13] withr_2.2.0 tidyselect_1.1.0 extrafontdb_1.0
[16] curl_4.3 compiler_4.0.0 cli_2.0.2
[19] rvest_0.3.5 xml2_1.3.2 sandwich_2.5-1
[22] labeling_0.3 sass_0.2.0 scales_1.1.1
[25] checkmate_2.0.0 mvtnorm_1.1-0 commonmark_1.7
[28] digest_0.6.25 rmarkdown_2.2 pkgconfig_2.0.3
[31] htmltools_0.5.0 extrafont_0.17 dbplyr_1.4.4
[34] htmlwidgets_1.5.1 rlang_0.4.6 rstudioapi_0.11
[37] farver_2.0.3 generics_0.0.2 zoo_1.8-8
[40] jsonlite_1.6.1 magrittr_1.5 Matrix_1.2-18
[43] Rcpp_1.0.4.6 munsell_0.5.0 fansi_0.4.1
[46] lifecycle_0.2.0 stringi_1.4.6 multcomp_1.4-13
[49] yaml_2.2.1 snakecase_0.11.0 MASS_7.3-51.5
[52] plyr_1.8.6 grid_4.0.0 blob_1.2.1
[55] crayon_1.3.4 lattice_0.20-41 splines_4.0.0
[58] hms_0.5.3 knitr_1.28 pillar_1.4.4
[61] estimability_1.3 codetools_0.2-16 reprex_0.3.0
[64] glue_1.4.1 packrat_0.5.0 evaluate_0.14
[67] data.table_1.12.8 modelr_0.1.8 vctrs_0.3.0
[70] Rttf2pt1_1.3.8 cellranger_1.1.0 gtable_0.3.0
[73] assertthat_0.2.1 xfun_0.14 xtable_1.8-4
[76] coda_0.19-3 survival_3.1-12 viridisLite_0.3.0
[79] TH.data_1.0-10 ellipsis_0.3.1
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