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程序问答发布时间：2022-05-31 发布网站：大佬教程 code.js-code.com

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如何解决无法删除 tmap 数据中的因素？

开发过程中遇到无法删除 tmap 数据中的因素的问题如何解决？下面主要结合日常开发的经验，给出你关于无法删除 tmap 数据中的因素的解决方法建议，希望对你解决无法删除 tmap 数据中的因素有所启发或帮助；

我开始熟悉在映射中使用 R 并且我目前正在使用 tmap 包。对数据进行子集化时遇到问题。我可以使用 tIDyverse 语法毫无问题地选择各种子集，但我无法删除未使用的级别以确保图例保持合理。

#// load library and data
library(tIDyversE)
library(tmap)
data("World")

#// subset data to only include Africa
tm_africa <- filter(World,conTinent == "Africa") 
tm_shape(tm_africa) + tm_polygons("name")
#> Warning: number of levels of the variable "name" is 177,which is
#> larger than max.categorIEs (which is 30),so levels are combined. Set
#> tmap_options(max.categorIEs = 177) in the layer function to show all levels.
#> Some legend labels were too wIDe. these labels have been resized to 0.62,0.45,0.54,0.59,0.50,0.62,0.61,0.47,0.46,0.63. Increase legend.wIDth (argument of tm_layout) to make the legend wIDer and therefore the labels larger.

无法删除 tmap 数据中的因素


#// remove unused levels for proper legends
#// output suggests levels are indeed dropped
forcats::fct_drop(tm_africa$Name)
#>  [1] Angola               Burundi              Benin               
#>  [4] Burkina Faso         Botswana             Central African Rep.
#>  [7] Cote d'Ivoire        Cameroon             Dem. Rep. Congo     
#> [10] Congo                DjiboutI             Algeria             
#> [13] Egypt                Eritrea              Ethiopia            
#> [16] Gabon                Ghana                Guinea              
#> [19] Gambia               Guinea-Bissau        Eq. Guinea          
#> [22] Kenya                liberia              libya               
#> [25] Lesotho              Morocco              Madagascar          
#> [28] Mali                 Mozambique           Mauritania          
#> [31] Malawi               Namibia              Niger               
#> [34] Nigeria              Rwanda               W. Sahara           
#> [37] Sudan                s. Sudan             Senegal             
#> [40] SIErra Leone         Somaliland           Somalia             
#> [43] Swaziland            Chad                 Togo                
#> [46] Tunisia              Tanzania             Uganda              
#> [49] South Africa         Zambia               Zimbabwe            
#> 51 Levels: Algeria Angola Benin Botswana Burkina Faso Burundi ... Zimbabwe

#// check if levels are removed
#// still LisTing countrIEs from outsIDe Africa
head(levels(tm_africa$Name))
#> [1] "Afghanistan" "Albania"     "Algeria"     "Angola"      "Antarctica" 
#> [6] "ArgenTina"

#// plot again to verify levels have not changed
tm_shape(tm_africa) + tm_polygons("name")
#> Warning: number of levels of the variable "name" is 177,0.63. Increase legend.wIDth (argument of tm_layout) to make the legend wIDer and therefore the labels larger.