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rf.effectSize function error #6

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ManuelSpinola opened this issue May 12, 2021 · 2 comments
Open

rf.effectSize function error #6

ManuelSpinola opened this issue May 12, 2021 · 2 comments

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@ManuelSpinola
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I am trying to run the example of the rf.effectSize function but gives me an error.

library(randomForest)
data(airquality)
airquality <- na.omit(airquality)
fit.reg <- randomForest(Ozone ~ ., data=airquality)

Parameter effect sizes

rf.effectSize(fit.reg, y = airquality$Solar.R, pred.data = airquality, x.var = Solar.R)

Error in a[[which(names(a) == "x")]] :
attempt to select less than one element in get1index

@jeffreyevans
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jeffreyevans commented May 12, 2021 via email

@ManuelSpinola
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Thank you very much Jeffrey.

sessionInfo()
R version 4.0.5 (2021-03-31)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur 10.16

Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/POSIX/en_US.UTF-8/en_US.UTF-8

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

other attached packages:
[1] rfUtilities_2.2-0 ecospat_3.2
[3] gbm_2.1.8 ape_5.5
[5] ade4_1.7-16 spatialEco_1.3-6
[7] MLeval_0.3 caret_6.0-87
[9] randomForest_4.6-14 ranger_0.12.1
[11] SDMtune_1.1.4 PointedSDMs_0.2.1.9004
[13] INLA_21.01.26 foreach_1.5.1
[15] embarcadero_1.2.0.1003 data.table_1.14.0
[17] matrixStats_0.58.0 ggpubr_0.4.0
[19] patchwork_1.1.1 ROCR_1.0-11
[21] Metrics_0.1.4 dbarts_0.9-19
[23] CAST_0.5.1 mlr_2.19.0
[25] ParamHelpers_1.14 forestError_1.0.0
[27] deepnet_0.2 kernlab_0.9-29
[29] xgboost_1.4.1.1 glmnet_4.1-1
[31] plotKML_0.8-1 geoR_1.8-1
[33] landmap_0.0.9 GADMTools_3.8-2
[35] classInt_0.4-3 geostatsp_1.8.5
[37] Matrix_1.3-3 knitr_1.33
[39] cowplot_1.1.1 maps_3.3.0
[41] mapr_0.5.2 rvertnet_0.8.0
[43] rinat_0.1.8 rgbif_3.5.2
[45] scrubr_0.3.2 spocc_1.2.0
[47] mapview_2.9.8 rgeoboundaries_0.0.0.9000
[49] dismo_1.3-3 rasterVis_0.50.2
[51] latticeExtra_0.6-29 lattice_0.20-44
[53] terra_1.2-5 raster_3.4-10
[55] rgdal_1.5-23 sp_1.4-5
[57] stars_0.5-2 abind_1.4-5
[59] sf_0.9-9 glue_1.4.2
[61] rio_0.5.26 forcats_0.5.1
[63] stringr_1.4.0 dplyr_1.0.6
[65] purrr_0.3.4 readr_1.4.0
[67] tidyr_1.1.3 tibble_3.1.1
[69] ggplot2_3.3.3 tidyverse_1.3.1

loaded via a namespace (and not attached):
[1] biomod2_3.4.6 svglite_2.0.0 Hmisc_4.5-0
[4] intervals_0.15.2 class_7.3-19 crayon_1.4.1
[7] MASS_7.3-54 RSAGA_1.3.0 nlme_3.1-152
[10] backports_1.2.1 qlcMatrix_0.9.7 reprex_2.0.0
[13] maxnet_0.1.2 rlang_0.4.11 readxl_1.3.1
[16] SparseM_1.81 rjson_0.2.20 snowfall_1.84-6.1
[19] ggmap_3.0.0 splancs_2.01-42 tcltk_4.0.5
[22] haven_2.4.1 tidyselect_1.1.1 RandomFieldsUtils_0.5.3
[25] countrycode_1.2.0 XML_3.99-0.6 ENMeval_0.3.1
[28] zoo_1.8-9 gstat_2.0-7 MatrixModels_0.5-0
[31] magrittr_2.0.1 evaluate_0.14 rbison_1.0.0
[34] RgoogleMaps_1.4.5.3 cli_2.5.0 ridigbio_0.3.5
[37] rstudioapi_0.13 parallelMap_1.5.0 rebird_1.2.0
[40] whisker_0.4 rpart_4.1-15 fastmatch_1.1-0
[43] leafem_0.1.3 xfun_0.22 shapefiles_0.7
[46] cluster_2.1.2 quantreg_5.85 permute_0.9-5
[49] png_0.1-7 reshape_0.8.8 ipred_0.9-11
[52] withr_2.4.2 ecodist_2.0.7 bitops_1.0-7
[55] slam_0.1-48 plyr_1.8.6 cellranger_1.1.0
[58] sparsesvd_0.2 e1071_1.7-6 pROC_1.17.0.1
[61] pillar_1.6.0 TeachingDemos_2.12 cachem_1.0.4
[64] multcomp_1.4-17 fs_1.5.0 xts_0.12.1
[67] vctrs_0.3.8 ellipsis_0.3.2 oai_0.3.0
[70] generics_0.1.0 urltools_1.7.3 lava_1.6.9
[73] mda_0.5-2 tools_4.0.5 wellknown_0.7.2
[76] foreign_0.8-81 munsell_0.5.0 proxy_0.4-25
[79] fastmap_1.1.0 compiler_4.0.5 aqp_1.29
[82] BBmisc_1.11 rgeos_0.5-5 prodlim_2019.11.13
[85] gridExtra_2.3 rms_6.2-0 deldir_0.2-10
[88] plotmo_3.6.0 spacetime_1.2-4 utf8_1.2.1
[91] recipes_0.1.16 wk_0.4.1 jsonlite_1.7.2
[94] leafpop_0.0.6 scales_1.1.1 docopt_0.7.1
[97] carData_3.0-4 nabor_0.5.0 lazyeval_0.2.2
[100] car_3.0-10 doParallel_1.0.16 brew_1.0-6
[103] checkmate_2.0.0 sandwich_3.0-0 rmarkdown_2.8
[106] openxlsx_4.2.3 webshot_0.5.2 rosm_0.2.5
[109] survival_3.2-11 numDeriv_2016.8-1.1 yaml_2.2.1
[112] plotrix_3.8-1 systemfonts_1.0.2 conditionz_0.1.0
[115] htmltools_0.5.1.1 memoise_2.0.0 viridisLite_0.4.0
[118] digest_0.6.27 hoardr_0.5.2 assertthat_0.2.1
[121] rappdirs_0.3.3 lwgeom_0.2-6 RandomFields_3.3.8
[124] satellite_1.0.2 adehabitatMA_0.3.14 units_0.7-1
[127] adehabitatLT_0.3.25 mapproj_1.2.7 vegan_2.5-7
[130] poibin_1.5 labeling_0.4.2 splines_4.0.5
[133] Formula_1.2-4 ks_1.12.0 broom_0.7.6
[136] hms_1.0.0 modelr_0.1.8 colorspace_2.0-1
[139] base64enc_0.1-3 shape_1.4.5 nnet_7.3-16
[142] mclust_5.4.7 Rcpp_1.0.6 mvtnorm_1.1-1
[145] fansi_0.4.2 conquer_1.0.2 earth_5.3.0
[148] ModelMetrics_1.2.2.2 R6_2.5.0 grid_4.0.5
[151] crul_1.1.0 polspline_1.1.19 CircStats_0.2-6
[154] lifecycle_1.0.0 zip_2.1.1 curl_4.3.1
[157] ggsignif_0.6.1 leaflet_2.0.4.1 distill_1.2
[160] TH.data_1.0-10 RColorBrewer_1.1-2 adehabitatHR_0.4.19
[163] iterators_1.0.13 gower_0.2.2 htmlwidgets_1.5.3
[166] triebeard_0.3.0 crosstalk_1.1.1 mgcv_1.8-35
[169] rvest_1.0.0 htmlTable_2.1.0 codetools_0.2-18
[172] lubridate_1.7.10 FNN_1.1.3 leaflet.providers_1.9.0
[175] gtools_3.8.2 prettyunits_1.1.1 dbplyr_2.1.1
[178] gtable_0.3.0 DBI_1.1.1 stats4_4.0.5
[181] httr_1.4.2 KernSmooth_2.23-20 stringi_1.6.1
[184] progress_1.2.2 farver_2.1.0 reshape2_1.4.4
[187] uuid_0.1-4 hexbin_1.28.2 pixmap_0.4-12
[190] timeDate_3043.102 xml2_1.3.2 colorRamps_2.3
[193] boot_1.3-28 ggspatial_1.1.5 jpeg_0.1-8.1
[196] pkgconfig_2.0.3 maptools_1.1-1 PresenceAbsence_1.1.9
[199] rstatix_0.7.0 downlit_0.2.1 httpcode_0.3.0

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