R general failure

[galactor]

I was working on a markdown which was working properly. I was manipulating spatial databases and it was working perfectly. Suddenly it stopped working and I can't eve read a CSV file neither the spatial database. I tried reinstalling R studio and updating all the libraries, however nothing improved. Not even the setwd() is working I tried to change the wd and this didn't work either. Do you have any idea what Is happening?

Here is the error messages I get:

for the read csv:
Error in file(con, "rb") : cannot open the connection

for sf object:
GDAL Error 4: Unable to open
The source could be corrupt or not supported. See st_drivers() for a list of supported formats.

One day ago the code was working perfectly and the files were being used without any warning or error. Could any one help?

Thanks

[technocrat]

If you are on macOS or a Linux-type operating system, can you post the results of the R sessionInfo() command? Also the line of code for read.csv. If you are on Windows, someone who uses that OS will need to weigh in.

[galactor]

Sure, Im working on MacOS

dfed <- read_sf("/Desktop/Proyectos DATA/INE/Carto/19 NUEVO LEON/DISTRITO_FEDERAL.shp")

votos <- read_csv("/Desktop/Proyectos DATA/Mapas/Abstencion/resultados_gob.csv", locale=locale(encoding="latin1"))

R version 4.2.2 (2022-10-31)
Platform: aarch64-apple-darwin20 (64-bit)
Running under: macOS Ventura 13.1

Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/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] tmap_3.3-3 spdep_1.2-7 spData_2.2.1 sp_1.5-1 mapview_2.11.0
[6] ggmap_3.0.1 sf_1.0-9 lubridate_1.9.0 timechange_0.1.1 scales_1.2.1
[11] knitr_1.41 leaflet_2.1.1 e1071_1.7-12 foreign_0.8-83 readxl_1.4.1
[16] forcats_0.5.2 stringr_1.5.0 dplyr_1.0.10 purrr_1.0.0 tidyr_1.2.1
[21] tibble_3.1.8 ggplot2_3.4.0 tidyverse_1.3.2 readr_2.1.3

loaded via a namespace (and not attached):
[1] googledrive_2.0.0 leafem_0.2.0 colorspace_2.0-3 deldir_1.0-6
[5] ellipsis_0.3.2 class_7.3-20 satellite_1.0.4 base64enc_0.1-3
[9] fs_1.5.2 dichromat_2.0-0.1 rstudioapi_0.14 proxy_0.4-27
[13] bit64_4.0.5 fansi_1.0.3 xml2_1.3.3 codetools_0.2-18
[17] jsonlite_1.8.4 tmaptools_3.1-1 broom_1.0.2 dbplyr_2.2.1
[21] png_0.1-8 compiler_4.2.2 httr_1.4.4 backports_1.4.1
[25] assertthat_0.2.1 fastmap_1.1.0 gargle_1.2.1 cli_3.5.0
[29] s2_1.1.1 leaflet.providers_1.9.0 htmltools_0.5.4 tools_4.2.2
[33] gtable_0.3.1 glue_1.6.2 wk_0.7.1 Rcpp_1.0.9
[37] cellranger_1.1.0 raster_3.6-11 vctrs_0.5.1 leafsync_0.1.0
[41] crosstalk_1.2.0 lwgeom_0.2-10 xfun_0.36 rvest_1.0.3
[45] lifecycle_1.0.3 XML_3.99-0.13 googlesheets4_1.0.1 terra_1.6-47
[49] vroom_1.6.0 hms_1.1.2 parallel_4.2.2 RColorBrewer_1.1-3
[53] yaml_2.3.6 stringi_1.7.8 boot_1.3-28 RgoogleMaps_1.4.5.3
[57] rlang_1.0.6 pkgconfig_2.0.3 bitops_1.0-7 evaluate_0.19
[61] lattice_0.20-45 htmlwidgets_1.6.1 bit_4.0.5 tidyselect_1.2.0
[65] plyr_1.8.8 magrittr_2.0.3 R6_2.5.1 generics_0.1.3
[69] DBI_1.1.3 pillar_1.8.1 haven_2.5.1 withr_2.5.0
[73] units_0.8-1 stars_0.6-0 abind_1.4-5 modelr_0.1.10
[77] crayon_1.5.2 KernSmooth_2.23-20 utf8_1.2.2 tzdb_0.3.0
[81] rmarkdown_2.19 jpeg_0.1-10 grid_4.2.2 reprex_2.0.2
[85] digest_0.6.31 classInt_0.4-8 webshot_0.5.4 stats4_4.2.2
[89] munsell_0.5.0 viridisLite_0.4.1

[technocrat]

@galactor

"/Desktop/Proyectos DATA/Mapas/Abstencion/resultados_gob.csv",

Missing a tilde. Use

"~/Desktop/Proyectos DATA/Mapas/Abstencion/resultados_gob.csv",

or, if you are going to be running a reprex

"/Users/YOU/Desktop/Proyectos/DATA/Mapas/Abstencion/resultados_gob.csv",

and to cut down on the file hunting, put your work, including data, into an Rproject for just

“resultados_gob.csv",

Or, for a lot of data files, create a folder data and, for example

readr::read_csv(here ::here(“data/resultados_gob.csv”))

and that will work wherever you are in the project directory tree.