Last updated: 2019-06-15

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Knit directory: 2019-feature-selection/

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Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.


These are the previous versions of the R Markdown and HTML files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view them.

File Version Author Date Message
html 55e63a8 pat-s 2019-06-15 Build site.
Rmd 6e2989d pat-s 2019-06-15 update reports
html 5230081 pat-s 2019-06-15 Build site.
Rmd a036319 pat-s 2019-06-15 wflow_publish(knitr_in(“analysis/eda.Rmd”), view = FALSE)

Datasets

VI

Overview

rows columns discrete_columns continuous_columns all_missing_columns total_missing_values complete_rows total_observations memory_usage
1759 90 0 90 0 0 1759 158310 1285080

Histograms

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PCA

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Corr

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NRI

Overview

rows columns discrete_columns continuous_columns all_missing_columns total_missing_values complete_rows total_observations memory_usage
1759 7382 0 7382 0 0 1759 12984938 105368104

Histograms

No histograms for NRI -> too many features.

PCA

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Corr

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HR

Overview

rows columns discrete_columns continuous_columns all_missing_columns total_missing_values complete_rows total_observations memory_usage
1759 123 0 123 0 0 1759 216357 1754904

Histograms

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PCA

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Corr

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Custom plots

Mean defoliation per plot

# A tibble: 4 x 2
  plot     `mean(defoliation)`
  <fct>                  <dbl>
1 Laukiz 1                56.0
2 Laukiz 2                13.5
3 Luiando                 68.4
4 Oiartzun                69.2

Coefficient of variation

# A tibble: 4 x 2
  plot     `(sd(defoliation)/mean(defoliation)) * 100`
  <fct>                                          <dbl>
1 Laukiz 1                                        35.4
2 Laukiz 2                                       125. 
3 Luiando                                         12.1
4 Oiartzun                                        19.9

sd / skewness

# A tibble: 4 x 2
  plot     `((sd(defoliation)/mean(defoliation)) * 100)/e1071::skewness(de…
  <fct>                                                               <dbl>
1 Laukiz 1                                                           -50.6 
2 Laukiz 2                                                            55.0 
3 Luiando                                                             -3.13
4 Oiartzun                                                           -21.3 
# A tibble: 4 x 2
  plot     `sd(defoliation)`
  <fct>                <dbl>
1 Laukiz 1             19.8 
2 Laukiz 2             16.9 
3 Luiando               8.28
4 Oiartzun             13.8 
Warning in is.na(x): is.na() applied to non-(list or vector) of type
'expression'

Warning in is.na(x): is.na() applied to non-(list or vector) of type
'expression'

Warning in is.na(x): is.na() applied to non-(list or vector) of type
'expression'

Warning in is.na(x): is.na() applied to non-(list or vector) of type
'expression'

Version Author Date
55e63a8 pat-s 2019-06-15

Point density

In Meters.

$`Laukiz 1`
[1] 34.64678

$`Laukiz 2`
[1] 61.58605

$Luiando
[1] 33.14163

$Oiartzun
[1] 34.96409

R version 3.5.2 (2018-12-20)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)

Matrix products: default
BLAS/LAPACK: /opt/spack/opt/spack/linux-centos7-x86_64/gcc-7.3.0/openblas-0.3.5-zncvk4jccaqyfl4z3vszaboeps6hyzta/lib/libopenblas_zen-r0.3.5.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] ggsci_2.9            DataExplorer_0.8.0   tidyselect_0.2.5    
 [4] mRMRe_2.0.9          igraph_1.2.4         survival_2.43-3     
 [7] praznik_5.0.0        workflowr_1.4.0      here_0.1            
[10] ggpubr_0.1.6         ggspatial_1.0.3      gdalUtils_2.0.1.7   
[13] getSpatialData_0.0.4 knitr_1.23           rgenoud_5.8-3.0     
[16] parallelMap_1.3      mlrMBO_1.1.2         smoof_1.5.1         
[19] checkmate_1.9.1      BBmisc_1.11          mapview_2.3.0       
[22] stringr_1.4.0        fs_1.2.6             curl_3.3            
[25] mlrCPO_0.3.4-2       mlr_2.14.0.9000      ParamHelpers_1.12   
[28] data.table_1.12.0    magrittr_1.5         future.apply_1.1.0  
[31] future.callr_0.4.0   furrr_0.1.0.9002     future_1.11.1.1     
[34] R.utils_2.8.0        R.oo_1.22.0          R.methodsS3_1.7.1   
[37] glue_1.3.0           purrr_0.3.0          sf_0.7-3            
[40] dplyr_0.8.0.1        hsdar_0.5.2          caret_6.0-81        
[43] ggplot2_3.1.0        lattice_0.20-38      signal_0.7-6        
[46] rootSolve_1.7        rgdal_1.4-3          raster_2.8-19       
[49] sp_1.3-1             drake_7.4.0         

loaded via a namespace (and not attached):
  [1] backports_1.1.3    fastmatch_1.1-0    mapedit_0.4.3     
  [4] plyr_1.8.4         lazyeval_0.2.1     splines_3.5.2     
  [7] storr_1.2.1        crosstalk_1.0.0    listenv_0.7.0     
 [10] leaflet_2.0.2      usethis_1.4.0      digest_0.6.18     
 [13] foreach_1.4.4      htmltools_0.3.6    fansi_0.4.0       
 [16] memoise_1.1.0      base64url_1.4      remotes_2.0.2     
 [19] recipes_0.1.4      globals_0.12.4     gower_0.1.2       
 [22] prettyunits_1.0.2  colorspace_1.4-0   xfun_0.5          
 [25] callr_3.1.1        crayon_1.3.4       jsonlite_1.6      
 [28] iterators_1.0.10   gtable_0.2.0       ipred_0.9-8       
 [31] webshot_0.5.1      pkgbuild_1.0.2     scales_1.0.0      
 [34] DBI_1.0.0          Rcpp_1.0.0         viridisLite_0.3.0 
 [37] xtable_1.8-3       units_0.6-2        stats4_3.5.2      
 [40] lava_1.6.5         prodlim_2018.04.18 htmlwidgets_1.3   
 [43] httr_1.4.0         RColorBrewer_1.1-2 pkgconfig_2.0.2   
 [46] nnet_7.3-12        utf8_1.1.4         RJSONIO_1.3-1.1   
 [49] labeling_0.3       rlang_0.3.4        reshape2_1.4.3    
 [52] later_0.8.0        munsell_0.5.0      tools_3.5.2       
 [55] cli_1.1.0          generics_0.0.2     devtools_2.0.1    
 [58] evaluate_0.13      yaml_2.2.0         ModelMetrics_1.2.2
 [61] processx_3.2.1     satellite_1.0.1    nlme_3.1-137      
 [64] whisker_0.3-2      mime_0.6           xml2_1.2.0        
 [67] compiler_3.5.2     plotly_4.8.0       png_0.1-7         
 [70] e1071_1.7-0.1      testthat_2.0.1     RPostgreSQL_0.6-2 
 [73] tibble_2.0.1       lhs_1.0.1          stringi_1.3.1     
 [76] highr_0.7          ps_1.3.0           desc_1.2.0        
 [79] plot3D_1.1.1       Matrix_1.2-15      classInt_0.3-1    
 [82] networkD3_0.4      pillar_1.3.1       httpuv_1.4.5.1    
 [85] R6_2.4.0           promises_1.0.1     gridExtra_2.3     
 [88] sessioninfo_1.1.1  codetools_0.2-16   MASS_7.3-51.1     
 [91] assertthat_0.2.0   pkgload_1.0.2      rprojroot_1.3-2   
 [94] withr_2.1.2        parallel_3.5.2     grid_3.5.2        
 [97] rpart_4.1-13       timeDate_3043.102  tidyr_0.8.2       
[100] class_7.3-15       rmarkdown_1.13     misc3d_0.8-4      
[103] mco_1.0-15.1       git2r_0.24.0       getPass_0.2-2     
[106] shiny_1.2.0        lubridate_1.7.4    base64enc_0.1-3