R ggplot2多边形->；错误：离散值提供给连续刻度

我试图画两个国家，并根据某个变量用颜色填充它们，我已经为一个国家实现了这一点，但是当我尝试多个国家时，我不断得到错误：离散值提供给连续比例，尽管代码基本相同，所以这里是非工作代码及其数据集

library(ggplot2)
library(maptools)
library(rgeos)
library(rgdal)
library(gpclib)
library(dplyr)

mne <- get(load('/Users/praeconium/Desktop/Dev/NonResponse/GoliOtok/Paper/Shapes/MNE_adm0.RData'))
sr <- get(load('/Users/praeconium/Desktop/Dev/NonResponse/GoliOtok/Paper/Shapes/SRB_adm0.RData'))
sl <- get(load('/Users/praeconium/Desktop/Dev/NonResponse/GoliOtok/Paper/Shapes/SVN_adm0.RData'))
hr <- get(load('/Users/praeconium/Desktop/Dev/NonResponse/GoliOtok/Paper/Shapes/HRV_adm0.RData'))
bh <- get(load('/Users/praeconium/Desktop/Dev/NonResponse/GoliOtok/Paper/Shapes/BIH_adm0.RData'))
mk <- get(load('/Users/praeconium/Desktop/Dev/NonResponse/GoliOtok/Paper/Shapes/MKD_adm0.RData'))

gpclibPermit()

mne.adm0.df <- fortify(mne, region = "NAME_ENGLISH")
sr.adm0.df <- fortify(sr, region = "NAME_ENGLISH")
sl.adm0.df <- fortify(sl, region = "NAME_ENGLISH")
hr.adm0.df <- fortify(hr, region = "NAME_ENGLISH")
bh.adm0.df <- fortify(bh, region = "NAME_ENGLISH")
mk.adm0.df <- fortify(mk, region = "NAME_ENGLISH")

combine <- 0
combine <- rbind(combine, mne.adm0.df)
combine1 <- rbind(combine, sr.adm0.df)
combine2 <- rbind(combine1, sl.adm0.df)
combine3 <- rbind(combine2, hr.adm0.df)
combine4 <- rbind(combine3, bh.adm0.df)
combine5 <- rbind(combine4, mk.adm0.df)

rm(combine,combine1,combine2,combine3, combine4)

combine6 <- combine5[-1,]
States <- data.frame(id=unique(combine6$id), emp=c(1,2,3,1,2,3), long=c("19.09462","19.70397","16.28719","16.40274","16.96187","22.23574"), lat=c("43.52889","46.18837","46.8704","46.43516","45.22893","42.3041"))

Set <- merge(combine6, States, by='id')

p <- ggplot(Set, aes(x = lat.x, y = long.x, group = group)) +
geom_polygon(aes(fill = cut(emp,10))) +
geom_text(data = States, aes(label = id, x = long, y = lat, group = id), size = 3) +
labs(x=" ", y=" ") + 
theme_bw() + scale_fill_brewer('Rate', palette  = 'PuRd') + 
coord_map() + 
theme(panel.grid.minor=element_blank(), panel.grid.major=element_blank()) + 
theme(axis.ticks = element_blank(), axis.text.x = element_blank(), axis.text.y = element_blank()) + 
theme(panel.border = element_blank())
print(p)

库（ggplot2）
图书馆（地图工具）
图书馆（rgeos）
图书馆（rgdal）
图书馆（gpclib）
图书馆（dplyr）
mneI通过排除部分目标而不是手头的任务

geom_text(data = mne.centro3, aes(label = towns, x = long, y = lat, group = towns), size = 3) + 

但我不明白相同的代码在这里是连续的，在那里是离散的：在我自己有限的经验中，我发现我通常需要分解我的分组条件。如果您的数据被解释为连续的，您可以通过因子分解将其强制为离散的

我最关心的变量是
mne2$emp
和
mne2$id
，尤其是后者，因为在这种情况下，变量
towns
很可能被视为离散变量，而
mne2$id
很可能被视为连续变量。具有
group=factor（mne2$id）
效果的东西可以解决您的问题
 嗯，
scale\u fill\u brewer（…）
创建离散值。在下面的示例中，
fill=cut（emp，5）
也是离散的，而在上面的示例中，
fill=cut（emp，10）
是连续的。如果没有看到完整的数据集，我无法解释原因。
Set$emp
中的值是什么？
tl；dr
，请提供一个小的、可复制的示例。与其在geom_多边形调用中动态计算您的
切割
，不如将其作为列添加到数据中。这样你可以看到它的输出，并确保它是一个因子，这样你就知道你给了一个离散变量一个离散的尺度。好的，谢谢，但请检查我下面的答案。看来geom_文字是原因。
library(ggplot2)
library(maptools)
library(rgeos)
library(rgdal)
library(gpclib)
load("/Users/praeconium/Downloads/MNE_adm1.RData")
mne.adm2.spdf <- get("gadm")

gpclibPermit()
mne.adm2.df <- fortify(mne.adm2.spdf, region = "NAME_1")

id <- unique(mne.adm2.df$id)
emp <- c(1,2,3,4,5,6,7,8,9,1,2,3,4,5,6,7,8,9,1,2,3)
unemp <- data.frame(id,emp)

mne2 <- merge(mne.adm2.df, unemp, by='id')
mne.centro <- data.frame(long = coordinates(mne.adm2.spdf)[, 1], lat = coordinates(mne.adm2.spdf)[, 2])
towns <- c("And", "Bar", "Berane", "BP", "BD", "CT", "DG", "HN", "KOl", "KO", "MK", "NK", "PL", "PV", "PLu", "PG", "RO", "SA", "TV", "UL", "ZB")
id <- unique(mne.adm2.df$id)
mne.centro3 <- data.frame(towns, mne.centro, id)


# Plot
p <- ggplot(mne2, aes(x = long, y = lat, group = group)) + 
geom_polygon(aes(fill = cut(emp,5))) +
geom_text(data = mne.centro3, aes(label = towns, x = long, y = lat, group = towns), size = 3) + 
labs(x=" ", y=" ") + 
theme_bw() + scale_fill_brewer('Rate', palette  = 'PuRd') + 
coord_map() + 
theme(panel.grid.minor=element_blank(), panel.grid.major=element_blank()) + 
theme(axis.ticks = element_blank(), axis.text.x = element_blank(), axis.text.y = element_blank()) + 
theme(panel.border = element_blank())
print(p)

 > str(mne2)
   data.frame': 12931 obs. of  8 variables:
  $ id   : chr  "Andrijevica" "Andrijevica" "Andrijevica" "Andrijevica" ...
  $ long : num  19.9 19.9 19.9 19.8 19.8 ...
  $ lat  : num  42.7 42.7 42.7 42.7 42.7 ...
  $ order: int  1 2 3 4 5 6 7 8 9 10 ...
  $ hole : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
  $ piece: Factor w/ 4 levels "1","2","3","4": 1 1 1 1 1 1 1 1 1 1 ...
  $ group: Factor w/ 27 levels "Andrijevica.1",..: 1 1 1 1 1 1 1 1 1 1 ...
  $ emp  : num  1 1 1 1 1 1 1 1 1 1 ...

 > sessionInfo()
 R version 3.0.2 (2013-09-25)
 Platform: x86_64-apple-darwin10.8.0 (64-bit)

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

attached base packages:
[1] grid      stats     graphics  grDevices utils    
[6] datasets  methods   base     

other attached packages:
[1] psych_1.3.2     gridExtra_0.9.1 lubridate_1.3.3
[4] mapproj_1.2-1   maps_2.3-6      dplyr_0.1      
[7] gpclib_1.5-5    rgdal_0.8-16    rgeos_0.3-4    
[10] maptools_0.8-29 sp_1.0-14       ggplot2_0.9.3.1

loaded via a namespace (and not attached):
[1] assertthat_0.1     colorspace_1.2-2  
[3] dichromat_2.0-0    digest_0.6.3      
[5] foreign_0.8-55     gtable_0.1.2      
[7] labeling_0.2       lattice_0.20-23   
[9] MASS_7.3-29        memoise_0.1       
[11] munsell_0.4.2      plyr_1.8          
[13] proto_0.3-10       RColorBrewer_1.0-5
[15] Rcpp_0.11.0        reshape2_1.2.2    
[17] scales_0.2.3       stringr_0.6.2     
[19] tools_3.0.2       

> headTail(mne2)
           id  long   lat order  hole piece         group emp
1     Andrijevica 19.89 42.68     1 FALSE     1 Andrijevica.1   1
2     Andrijevica 19.88 42.67     2 FALSE     1 Andrijevica.1   1
3     Andrijevica 19.85 42.66     3 FALSE     1 Andrijevica.1   1
4     Andrijevica 19.84 42.66     4 FALSE     1 Andrijevica.1   1
...          <NA>   ...   ...   ...  <NA>  <NA>          <NA> ...
12928     Žabljak 19.02 43.25 12928 FALSE     1     Žabljak.1   3
12929     Žabljak 19.02 43.26 12929 FALSE     1     Žabljak.1   3
12930     Žabljak 19.03 43.26 12930 FALSE     1     Žabljak.1   3
12931     Žabljak 19.03 43.26 12931 FALSE     1     Žabljak.1   3

geom_text(data = mne.centro3, aes(label = towns, x = long, y = lat, group = towns), size = 3) +