<div dir="ltr"><div>Hi</div><div><br></div><div>I'm trying to read raster and vector maps from GRASS (located in my grassdata) into R as I used to do until last month, but I'm getting the following error:</div><div><br>> library(rgrass7)<br>Loading required package: XML<br>GRASS GIS interface loaded with GRASS version: GRASS 7.8.1dev (2019)<br>and location: nc_basic_spm_grass7<br>> use_sf()<br>> v <- readVECT(roadsmajor)<br>Error in doGRASS(cmd, flags = flags, ..., parameters = parameters, echoCmd = echoCmd,  : <br>  object 'roadsmajor' not found<br>> execGRASS("g.list", parameters=list(type="vector"))<br>hospitals<br>nc_state<br>points_of_interest<br>railroads<br>roadsmajor <-- it is there<br>schools<br></div><div><br></div><div>I tested with grass76 and 78 in case it could be some python issue (76 is python 2 and 78 is python 3), but I'm getting the same error with both GRASS versions.</div><div><br></div><div><div>Has anything changed since september? This worked at the opengeohub summer school. <br></div></div><div><br></div><div>I paste the session info below. Thanks in advance for any help :)</div><div><br></div><div>Vero<br></div><div><br></div><div><br></div><div>---<br></div><div>sessionInfo()<br>R version 3.6.1 (2019-07-05)<br>Platform: x86_64-redhat-linux-gnu (64-bit)<br>Running under: Fedora 30 (Thirty)<br><br>Matrix products: default<br>BLAS/LAPACK: /usr/lib64/R/lib/libRblas.so<br><br>locale:<br> [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              <br> [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    <br> [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   <br> [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 <br> [9] LC_ADDRESS=C               LC_TELEPHONE=C            <br>[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       <br><br>attached base packages:<br>[1] stats     graphics  grDevices utils     datasets  methods   base     <br><br>other attached packages:<br>[1] rgrass7_0.2-1 XML_3.98-1.20<br><br>loaded via a namespace (and not attached):<br> [1] tidyselect_0.2.5   purrr_0.3.2        reshape2_1.4.3     sf_0.8-0          <br> [5] splines_3.6.1      lattice_0.20-38    colorspace_1.4-1   generics_0.0.2    <br> [9] stars_0.3-1        stats4_3.6.1       survival_2.44-1.1  prodlim_2018.04.18<br>[13] rlang_0.4.0        ModelMetrics_1.2.2 e1071_1.7-2        pillar_1.4.2      <br>[17] glue_1.3.1         withr_2.1.2        DBI_1.0.0          foreach_1.4.7     <br>[21] plyr_1.8.4         lava_1.6.6         stringr_1.4.0      timeDate_3043.102 <br>[25] munsell_0.5.0      gtable_0.3.0       recipes_0.1.7      codetools_0.2-16  <br>[29] caret_6.0-84       parallel_3.6.1     class_7.3-15       Rcpp_1.0.2        <br>[33] KernSmooth_2.23-15 scales_1.0.0       classInt_0.4-1     ipred_0.9-9       <br>[37] abind_1.4-5        ggplot2_3.2.1      stringi_1.4.3      dplyr_0.8.3       <br>[41] grid_3.6.1         tools_3.6.1        magrittr_1.5       lazyeval_0.2.2    <br>[45] tibble_2.1.3       crayon_1.3.4       pkgconfig_2.0.3    MASS_7.3-51.4     <br>[49] Matrix_1.2-17      data.table_1.12.2  lubridate_1.7.4    gower_0.2.1       <br>[53] assertthat_0.2.1   iterators_1.0.12   R6_2.4.0           rpart_4.1-15      <br>[57] units_0.6-4        nnet_7.3-12        nlme_3.1-140       compiler_3.6.1 </div><div><br></div></div>