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我正在尝试更改美国地图中用于显示不同状态的总统结果的背景颜色。我阅读了很多关于这种颜色变化的帖子,但我无法改变任何这些颜色。下面是我的代码,链接,数据集和快照这我得到:无法在美国地图中更改R中的颜色
#install.packages("ggplot2")
#install.packages("ggmap")
#install.packages("plyr")
#install.packages("raster")
#install.packages("stringr")
library(ggplot2) # for plotting and miscellaneuous things
library(ggmap) # for plotting
library(plyr) # for merging datasets
library(raster) # to get map shape filegeom_polygon
library(stringr) # for string operation
# Get geographic data for USA
usa.shape<-getData("GADM", country = "usa", level = 1)
# Creating a data frame of map data
usa.df <- map_data("state")
#rename 'region' as 'state' and make it a factor variable
colnames(usa.df) [5] <- "State"
usa.df$State <- as.factor(usa.df$State)
#set working directory
setwd("C:/Users/Ashish/Documents/Stats projects/2/")
#input data from file separated by commas
usa.dat <- read.csv("data1.csv", header = T)
# printing data structure
str(usa.df)
# removing % sign from the data, and converting percentage win to numeric
usa.dat$Clinton <- as.numeric(sub("%","",usa.dat$Clinton))/1
usa.dat$Trump <- as.numeric(sub("%","",usa.dat$Trump))/1
usa.dat$Others <- as.numeric(sub("%","",usa.dat$Others))/1
# Creating a winner column based on the percentage
usa.dat$Winner = "Trump"
usa.dat[usa.dat$Clinton > usa.dat$Trump,]$Winner = "Clinton"
usa.dat$State <- tolower(usa.dat$State)
# Creating a chance column which corresponds to winning percentage of the candidate
usa.dat$chance <- usa.dat$Trump
a <- usa.dat[usa.dat$Clinton > usa.dat$Trump,]
usa.dat[usa.dat$Clinton > usa.dat$Trump,]$chance <- a$Clinton
# display the internal structure of the object
usa.dat
#join the usa.df and usa.dat objects on state variable
usa.df <- join(usa.df, usa.dat, by = "State", type = "inner")
str(usa.df)
states <- data.frame(state.center, state.abb) # centers of states and abbreviations
#function for plotting different regions of USA map based on the input data showing different coloring scheme
#for each state.
p <- function(data, title) {
ggp <- ggplot() +
# Draw borders of states
geom_polygon(data = data, aes(x = long, y = lat, group = group,
fill = Winner, alpha=chance), color = "black", size = 0.15) +
#scale_alpha_continuous(range=c(0,1))+
scale_color_gradientn(colours = c("#F08080","white","#5DADE2"),breaks = c(0,50,100),
labels=c("Clinton","Equal","Trump"),
limits=c(0,100),name="Election Forecast") +
# Add state abbreviations
geom_text(data = states, aes(x = x, y = y, label = state.abb), size = 2)+
guides(fill = guide_legend(direction='vertical', title='Candidate', label=TRUE, colours=c("red", "blue")))
return(ggp)
}
figure.title <- "2016 presidential election result"
# Save the map to a file to viewing (you can plot on the screen also, but it takes
# much longer that way. The ratio of US height to width is 1:9.)
#print(p(usa.df, brks.to.use, figure.title))
ggsave(p(usa.df, figure.title), height = 4, width = 4*1.9,
file = "election_result.jpg")
数据集:Dataset link
为显示在选举预测我想获得相同的色彩方案梯度。
当您想调整填充时,您正在使用'scale_color_gradientn'。改为使用'scale_fill_gradientn'。但是,看起来映射为填充的数据是二进制的,所以实际上您可能只需要'scale_fill_discrete'(或'_manual','_brewer'等;不是'_continuous'的衍生物)。 – alistaire
@alistaire:感谢您的更新。但我直到看到没有变化。在这里,使用 'scale_fill_discrete'不会改变任何东西。 – CodeHunter
另外,我认为虽然我们有二进制配色方案,但如果仔细观察,这些配色方案中的每一种也都是连续的。 – CodeHunter