Closed silveiratcl closed 1 year ago
Hello @silveiratcl, Thank you for reporting :pray: Could you share a bit more information so that I can try to reproduce the error ? e.g. the output of:
show(myBiomodData1)
show(myBiomodModelOut1)
sessionInfo()
In the case I fail at reproducing the issue, it would help if you could share your data (or a subset with a reproducible example). Thanks in advance, Best, Rémi
Hello Remi, thanks!
show(myBiomodData1)
-=-=-=-=-=-=-=-=-=-=-=-=-=-= BIOMOD.formated.data -=-=-=-=-=-=-=-=-=-=-=-=-=-=
dir.name = .
sp.name = Tubastraea.coccinea
8 presences, 13 true absences and 0 undefined points in dataset
6 explanatory variables
bat velc sst d_cost
Min. :0.3992 Min. :0.1158 Min. :21.69 Min. : 0.00
1st Qu.:2.1034 1st Qu.:0.1583 1st Qu.:21.77 1st Qu.: 0.00
Median :3.3900 Median :0.1699 Median :21.84 Median : 0.00
Mean :3.3562 Mean :0.1661 Mean :21.88 Mean : 35.84
3rd Qu.:4.6848 3rd Qu.:0.1833 3rd Qu.:21.85 3rd Qu.: 82.52
Max. :9.0676 Max. :0.2508 Max. :22.31 Max. :165.11
d_mar d_traf
Min. : 198.3 Min. : 1193
1st Qu.: 7792.2 1st Qu.: 1539
Median :15056.4 Median : 2223
Mean :12360.9 Mean : 7000
3rd Qu.:16643.2 3rd Qu.: 5728
Max. :29385.5 Max. :30406
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Warning message:
Not a validObject(): no slot of name "srs" for this object of class "RasterLayer"
> show(myBiomodModelOut1)
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= BIOMOD.models.out -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Modeling folder : .
Species modeled : Tubastraea.coccinea
Modeling id : Model1
Considered variables : bat velc sst d_cost d_mar d_traf
Computed Models : Tubastraea.coccinea_allData_RUN1_GLM
Tubastraea.coccinea_allData_RUN1_RF Tubastraea.coccinea_allData_RUN2_GLM
Tubastraea.coccinea_allData_RUN2_RF Tubastraea.coccinea_allData_RUN3_GLM
Tubastraea.coccinea_allData_RUN3_RF Tubastraea.coccinea_allData_RUN4_GLM
Tubastraea.coccinea_allData_RUN4_RF Tubastraea.coccinea_allData_RUN5_GLM
Tubastraea.coccinea_allData_RUN5_RF Tubastraea.coccinea_allData_RUN6_GLM
Tubastraea.coccinea_allData_RUN6_RF Tubastraea.coccinea_allData_RUN7_GLM
Tubastraea.coccinea_allData_RUN7_RF Tubastraea.coccinea_allData_RUN8_GLM
Tubastraea.coccinea_allData_RUN8_RF Tubastraea.coccinea_allData_RUN9_GLM
Tubastraea.coccinea_allData_RUN9_RF Tubastraea.coccinea_allData_RUN10_GLM
Tubastraea.coccinea_allData_RUN10_RF Tubastraea.coccinea_allData_RUN11_GLM
Tubastraea.coccinea_allData_RUN11_RF Tubastraea.coccinea_allData_RUN12_GLM
Tubastraea.coccinea_allData_RUN12_RF
Failed Models : none
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
> sessionInfo()
R version 4.2.3 (2023-03-15 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 22621)
Matrix products: default
locale:
[1] LC_COLLATE=Portuguese_Brazil.utf8 LC_CTYPE=Portuguese_Brazil.utf8
[3] LC_MONETARY=Portuguese_Brazil.utf8 LC_NUMERIC=C
[5] LC_TIME=Portuguese_Brazil.utf8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] biomod2_4.2-4 mgcv_1.9-0 nlme_3.1-162 psych_2.3.6 car_3.1-2 carData_3.0-5
[7] terra_1.7-39 gtools_3.9.4 sf_1.0-14 raster_3.6-23 sp_1.6-0
loaded via a namespace (and not attached):
[1] lubridate_1.9.2 tools_4.2.3 backports_1.4.1 utf8_1.2.2
[5] R6_2.5.1 rpart_4.1.19 KernSmooth_2.23-20 DBI_1.1.3
[9] colorspace_2.0-3 nnet_7.3-18 maxnet_0.1.4 gbm_2.1.8.1
[13] mnormt_2.1.1 tidyselect_1.2.0 curl_4.3.2 compiler_4.2.3
[17] mda_0.5-4 cli_3.6.1 xml2_1.3.3 scales_1.2.1
[21] classInt_0.4-9 randomForest_4.7-1.1 proxy_0.4-27 rappdirs_0.3.3
[25] plotmo_3.6.2 PresenceAbsence_1.1.11 stringr_1.5.0 digest_0.6.29
[29] rmarkdown_2.14 pkgconfig_2.0.3 htmltools_0.5.4 plotrix_3.8-2
[33] fastmap_1.1.1 maps_3.4.1 rlang_1.1.0 rstudioapi_0.14
[37] httpcode_0.3.0 heatwaveR_0.4.6 generics_0.1.2 jsonlite_1.8.4
[41] dplyr_1.1.1 magrittr_2.0.3 Formula_1.2-5 Matrix_1.5-3
[45] Rcpp_1.0.11 munsell_0.5.0 fansi_1.0.3 abind_1.4-5
[49] lifecycle_1.0.3 stringi_1.7.6 pROC_1.18.4 yaml_2.3.5
[53] MASS_7.3-58.2 plyr_1.8.8 grid_4.2.3 parallel_4.2.3
[57] earth_5.3.2 lattice_0.20-45 cowplot_1.1.1 splines_4.2.3
[61] knitr_1.39 pillar_1.9.0 ggpubr_0.6.0 ggsignif_0.6.4
[65] xgboost_1.7.5.1 reshape2_1.4.4 codetools_0.2-19 crul_1.3
[69] glue_1.6.2 evaluate_0.15 hoardr_0.5.3 data.table_1.14.2
[73] vctrs_0.6.1 foreach_1.5.2 gtable_0.3.0 purrr_1.0.1
[77] tidyr_1.3.0 reshape_0.8.9 rerddap_1.0.2 ggplot2_3.4.2
[81] TeachingDemos_2.12 xfun_0.31 broom_1.0.4 e1071_1.7-13
[85] rstatix_0.7.2 class_7.3-21 ncdf4_1.21 survival_3.5-3
[89] tibble_3.2.1 iterators_1.0.14 units_0.8-1 timechange_0.2.0
Thank you for the update, I had no problem to reproduce your issue :pray:
We had a hole in bm_PlotEvalMean
checks that is now corrected (on the github version that you can get with devtools::install_github('biomodhub/biomod2')
.
The problem was that you were trying to use bm_PlotEvalMean
while you had only one evaluation metric (ROC
) which is not possible. You can forego using bm_PlotEvalMean
or use an additional evaluation metric in BIOMOD_Modeling
, e.g. TSS
.
Additionally, I noticed that you have a very small number of presences (8) and absences (13) and even less if you consider the cross-validation (6 presence and 9 absences in each calibration dataset). Meanwhile you are using 6 explanatory variables, which is way too much. With such a low number of presences you should not use more than one or two variables. Alternatively you can also use other techniques such as Ensemble of small models (ESM) for instance.
Best, Rémi
Hello Remi, thanks for your help.
I got the github version and added the TSS metric myBiomodModelOut1
.
Also I reduced the number of predictor to 2 for this check.
Unfortunately now I got the following message:
> bm_PlotEvalMean(bm.out = myBiomodModelOut2)
Error in draw_axis(break_positions = guide$key[[aesthetic]], break_labels = guide$key$.label, :
lazy-load database 'C:/Users/silve/AppData/Local/R/win-library/4.2/gtable/R/gtable.rdb' is corrupt
In addition: Warning messages:
1: In draw_axis(break_positions = guide$key[[aesthetic]], break_labels = guide$key$.label, :
restarting interrupted promise evaluation
2: In draw_axis(break_positions = guide$key[[aesthetic]], break_labels = guide$key$.label, :
internal error -3 in R_decompress1
Any idea? Thanks. Thiago
Hello Remi,
Unfortunately, I´ve tried with the example on documentation and got the same issue.
Hello Thiago,
Can you try again after restarting R/Rstudio ? the lazy-load database
issue is common to many package and is generally solved be restarting R (see e.g. https://github.com/thomasp85/patchwork/issues/36)
Best,
Rémi
Hello Rémi, Now worked! Thanks by the help! Cheers, Thiago
Hello,
I´m updating an old code to the new version 4.3-4. I changed the names of the arguments to the new version. This is a sample of my updated code:
Them I got the error message:
"Error in names(x) <- value : 'names' attribute [5] must be the same length as the vector [3]"
Any idea?