discretization of variables based on recursive partitioning
Arguments
- formula
A formula.
- data
A data.frame or tibble of observation data.
- ...
(optional) Other arguments passed to
rpart::rpart().
References
Luo, P., Song, Y., Huang, X., Ma, H., Liu, J., Yao, Y., & Meng, L. (2022). Identifying determinants of spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal zones-based heterogeneity model. ISPRS Journal of Photogrammetry and Remote Sensing: Official Publication of the International Society for Photogrammetry and Remote Sensing (ISPRS), 185, 111–128. https://doi.org/10.1016/j.isprsjprs.2022.01.009
Author
Wenbo Lv lyu.geosocial@gmail.com
Examples
data('ndvi')
rpart_disc(NDVIchange ~ ., data = ndvi)
#> [1] "4" "4" "10" "4" "4" "4" "4" "4" "10" "10" "10" "10" "4" "4" "4"
#> [16] "4" "4" "6" "6" "10" "10" "10" "4" "4" "4" "4" "4" "4" "6" "10"
#> [31] "10" "10" "4" "4" "4" "4" "4" "4" "5" "4" "6" "6" "10" "10" "10"
#> [46] "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "5" "4" "4"
#> [61] "6" "10" "10" "10" "10" "13" "12" "4" "4" "4" "4" "4" "4" "4" "4"
#> [76] "4" "4" "4" "4" "4" "5" "4" "4" "6" "6" "10" "10" "10" "12" "12"
#> [91] "12" "13" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4"
#> [106] "4" "5" "4" "4" "4" "6" "10" "10" "11" "11" "11" "12" "12" "12" "4"
#> [121] "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "5" "5"
#> [136] "4" "4" "6" "6" "11" "11" "11" "11" "11" "12" "12" "12" "11" "12" "4"
#> [151] "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "5" "5"
#> [166] "5" "5" "5" "6" "11" "11" "12" "12" "12" "12" "12" "12" "11" "11" "4"
#> [181] "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4"
#> [196] "4" "4" "4" "5" "5" "6" "11" "11" "11" "11" "11" "12" "12" "11" "11"
#> [211] "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4"
#> [226] "4" "4" "4" "4" "4" "4" "4" "6" "6" "6" "6" "6" "6" "6" "6"
#> [241] "6" "6" "6" "11" "12" "13" "12" "4" "4" "4" "4" "4" "4" "4" "4"
#> [256] "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4"
#> [271] "4" "4" "6" "4" "6" "6" "6" "11" "12" "12" "12" "12" "4" "4" "4"
#> [286] "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4"
#> [301] "4" "4" "6" "6" "11" "11" "12" "12" "12" "11" "12" "4" "4" "4" "4"
#> [316] "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "4" "6" "6" "11"
#> [331] "12" "12" "12" "12" "12" "12" "11" "11" "12" "12" "11" "4" "4" "4" "4"
#> [346] "4" "4" "4" "4" "4" "4" "4" "6" "6" "11" "12" "12" "12" "12" "12"
#> [361] "12" "11" "11" "11" "11" "12" "12" "12" "4" "5" "4" "4" "4" "4" "6"
#> [376] "6" "6" "12" "12" "12" "12" "12" "11" "11" "11" "11" "11" "11" "12" "12"
#> [391] "12" "12" "4" "4" "4" "4" "4" "6" "6" "6" "11" "12" "12" "12" "12"
#> [406] "12" "12" "11" "11" "11" "11" "11" "11" "12" "12" "13" "4" "4" "4" "4"
#> [421] "4" "4" "6" "6" "6" "11" "12" "12" "12" "12" "12" "12" "11" "11" "11"
#> [436] "11" "11" "11" "12" "12" "4" "4" "4" "4" "4" "4" "6" "6" "6" "6"
#> [451] "11" "12" "12" "12" "13" "12" "12" "11" "11" "11" "11" "11" "12" "12" "4"
#> [466] "6" "6" "6" "6" "6" "12" "12" "12" "12" "13" "13" "12" "12" "12" "11"
#> [481] "11" "11" "12" "6" "12" "6" "6" "11" "11" "12" "12" "12" "13" "13" "13"
#> [496] "12" "12" "12" "6" "11" "12" "11" "12" "12" "13" "13" "13" "13" "12" "12"
#> [511] "6" "11" "12" "12" "12" "12" "13" "13" "13" "13" "13" "12" "11" "12" "12"
#> [526] "12" "13" "13" "13" "13" "13" "13" "12" "12" "13" "13" "13" "13" "13" "13"
#> [541] "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13"
#> [556] "6" "13" "13" "13" "13" "13" "13" "11" "6" "11" "11" "12" "13" "13" "13"
#> [571] "13" "13" "13" "13" "11" "11" "11" "11" "11" "12" "13" "13" "13" "13" "13"
#> [586] "13" "13" "13" "11" "6" "12" "12" "12" "12" "13" "13" "13" "13" "13" "13"
#> [601] "13" "13" "12" "12" "12" "12" "12" "12" "13" "13" "13" "13" "13" "13" "13"
#> [616] "13" "13" "12" "12" "12" "12" "12" "12" "12" "13" "13" "13" "13" "13" "13"
#> [631] "13" "13" "12" "12" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "12"
#> [646] "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "12" "13" "13" "13" "13"
#> [661] "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13"
#> [676] "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13"
#> [691] "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13" "13"
#> [706] "13" "13" "13" "13" "13" "13" "13" "13"