[GRASS-stats] Cannot read raster or vector maps from GRASS within R

[Veronica Andreo]

Hi

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:

> library(rgrass7)
Loading required package: XML
GRASS GIS interface loaded with GRASS version: GRASS 7.8.1dev (2019)
and location: nc_basic_spm_grass7
> use_sf()
> v <- readVECT(roadsmajor)
Error in doGRASS(cmd, flags = flags, ..., parameters = parameters, echoCmd
= echoCmd,  :
  object 'roadsmajor' not found
> execGRASS("g.list", parameters=list(type="vector"))
hospitals
nc_state
points_of_interest
railroads
roadsmajor <-- it is there
schools

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.

Has anything changed since september? This worked at the opengeohub summer
school.

I paste the session info below. Thanks in advance for any help :)

Vero


---
sessionInfo()
R version 3.6.1 (2019-07-05)
Platform: x86_64-redhat-linux-gnu (64-bit)
Running under: Fedora 30 (Thirty)

Matrix products: default
BLAS/LAPACK: /usr/lib64/R/lib/libRblas.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
 [9] LC_ADDRESS=C               LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base

other attached packages:
[1] rgrass7_0.2-1 XML_3.98-1.20

loaded via a namespace (and not attached):
 [1] tidyselect_0.2.5   purrr_0.3.2        reshape2_1.4.3     sf_0.8-0

 [5] splines_3.6.1      lattice_0.20-38    colorspace_1.4-1
generics_0.0.2
 [9] stars_0.3-1        stats4_3.6.1       survival_2.44-1.1
 prodlim_2018.04.18
[13] rlang_0.4.0        ModelMetrics_1.2.2 e1071_1.7-2        pillar_1.4.2

[17] glue_1.3.1         withr_2.1.2        DBI_1.0.0          foreach_1.4.7

[21] plyr_1.8.4         lava_1.6.6         stringr_1.4.0
 timeDate_3043.102
[25] munsell_0.5.0      gtable_0.3.0       recipes_0.1.7
 codetools_0.2-16
[29] caret_6.0-84       parallel_3.6.1     class_7.3-15       Rcpp_1.0.2

[33] KernSmooth_2.23-15 scales_1.0.0       classInt_0.4-1     ipred_0.9-9

[37] abind_1.4-5        ggplot2_3.2.1      stringi_1.4.3      dplyr_0.8.3

[41] grid_3.6.1         tools_3.6.1        magrittr_1.5
lazyeval_0.2.2
[45] tibble_2.1.3       crayon_1.3.4       pkgconfig_2.0.3    MASS_7.3-51.4

[49] Matrix_1.2-17      data.table_1.12.2  lubridate_1.7.4    gower_0.2.1

[53] assertthat_0.2.1   iterators_1.0.12   R6_2.4.0           rpart_4.1-15

[57] units_0.6-4        nnet_7.3-12        nlme_3.1-140
compiler_3.6.1
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