Last updated: 2019-05-28
Checks: 6 0
Knit directory: 2018-model-comparison/
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This reports is for debugging purposes only. Its purpose was to identify the predictors responsbile for the artifacts in the prediction maps.
“ph” was found to be the variable causing the artifacts.
Random Forest was used as the algorithm in this case.
##No hail
R version 3.5.1 (2018-07-02)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)
Matrix products: default
BLAS: /opt/spack/opt/spack/linux-centos7-x86_64/gcc-7.3.0/r-3.5.1-b4xhm3pook4yl4olk6ttnovnyttdpkhe/rlib/R/lib/libRblas.so
LAPACK: /opt/spack/opt/spack/linux-centos7-x86_64/gcc-7.3.0/r-3.5.1-b4xhm3pook4yl4olk6ttnovnyttdpkhe/rlib/R/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_GB.UTF-8 LC_COLLATE=en_GB.UTF-8
[5] LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8
[7] LC_PAPER=en_GB.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] tidyselect_0.2.5 workflowr_1.3.0 here_0.1
[4] kableExtra_1.1.0 ggExtra_0.8 ggrepel_0.8.0
[7] reporttools_1.1.2 xtable_1.8-3 cowplot_0.9.3
[10] hrbrthemes_0.6.0 ggpubr_0.2 future.callr_0.4.0
[13] furrr_0.1.0.9002 future_1.11.1.1 ggsci_2.9
[16] clustermq_0.8.6 ggspatial_1.0.3 ggplot2_3.0.0
[19] rgenoud_5.8-3.0 fs_1.2.6 curl_3.2
[22] R.utils_2.7.0 R.oo_1.22.0 R.methodsS3_1.7.1
[25] GSIF_0.5-5 stringr_1.3.1 RSAGA_1.3.0
[28] plyr_1.8.4 shapefiles_0.7 foreign_0.8-71
[31] gstat_1.1-6 glue_1.3.0 rasterVis_0.45
[34] latticeExtra_0.6-28 RColorBrewer_1.1-2 lattice_0.20-35
[37] raster_2.8-19 viridis_0.5.1 viridisLite_0.3.0
[40] rgdal_1.4-3 sp_1.3-1 tibble_2.0.1
[43] forcats_0.3.0 lwgeom_0.1-6 dplyr_0.8.0.1
[46] sf_0.7-4 parallelMap_1.3 purrr_0.2.5
[49] mlrMBO_1.1.2 smoof_1.5.1 checkmate_1.8.5
[52] BBmisc_1.11 magrittr_1.5 mlr_2.13.9000
[55] ParamHelpers_1.11 drake_7.3.0.9000
loaded via a namespace (and not attached):
[1] backports_1.1.2 Hmisc_4.2-0 fastmatch_1.1-0
[4] igraph_1.2.2 lazyeval_0.2.1 splines_3.5.1
[7] storr_1.2.1 listenv_0.7.0 digest_0.6.15
[10] htmltools_0.3.6 base64url_1.4 cluster_2.0.7-1
[13] readr_1.3.1 globals_0.12.4 extrafont_0.17
[16] extrafontdb_1.0 xts_0.11-0 colorspace_1.3-2
[19] rvest_0.3.2 pixmap_0.4-11 xfun_0.7
[22] callr_3.1.0 crayon_1.3.4 jsonlite_1.5
[25] hexbin_1.27.2 survival_2.42-3 zoo_1.8-3
[28] gtable_0.2.0 webshot_0.5.1 Rttf2pt1_1.3.7
[31] abind_1.4-5 scales_1.0.0 DBI_1.0.0
[34] miniUI_0.1.1.1 Rcpp_1.0.0 plotrix_3.7-4
[37] spData_0.2.9.0 htmlTable_1.12 units_0.6-2
[40] Formula_1.2-3 intervals_0.15.1 dismo_1.1-4
[43] htmlwidgets_1.3 httr_1.3.1 FNN_1.1
[46] aqp_1.17 acepack_1.4.1 pkgconfig_2.0.2
[49] reshape_0.8.8 XML_3.98-1.16 nnet_7.3-12
[52] RJSONIO_1.3-1.1 labeling_0.3 later_0.7.5
[55] rlang_0.3.1 munsell_0.5.0 tools_3.5.1
[58] cli_1.1.0 evaluate_0.13 yaml_2.2.0
[61] processx_3.2.1 knitr_1.23 mime_0.5
[64] whisker_0.3-2 xml2_1.2.0 compiler_3.5.1
[67] rstudioapi_0.10 png_0.1-7 prettymapr_0.2.2
[70] plotly_4.8.0 e1071_1.7-0 spacetime_1.2-2
[73] lhs_0.16 stringi_1.2.4 ps_1.2.1
[76] gdtools_0.1.7 plot3D_1.1.1 Matrix_1.2-14
[79] classInt_0.2-3 rosm_0.2.2 pillar_1.3.1
[82] plotKML_0.5-9 data.table_1.11.8 httpuv_1.4.5
[85] colorRamps_2.3 R6_2.2.2 promises_1.0.1
[88] gridExtra_2.3 codetools_0.2-15 MASS_7.3-50
[91] assertthat_0.2.0 rprojroot_1.3-2 withr_2.1.2
[94] hms_0.4.2 parallel_3.5.1 grid_3.5.1
[97] rpart_4.1-13 tidyr_0.8.2 class_7.3-14
[100] rmarkdown_1.12 misc3d_0.8-4 mco_1.0-15.1
[103] git2r_0.23.0 shiny_1.2.0 base64enc_0.1-3