我试图使用coordpolar制作带有ggplot2的蜘蛛图表。
我想删除网格中最外面的圆圈,以使标签看起来更好,有什么想法吗?
我已将mtcars数据集用于再现性。以下是我到目前为止的情况:
library(ggplot2)
library(reshape2)
library(scales)
# Define a new coordinate system
coord_radar <- function (theta = "x", start = 0, direction = 1)
{
theta <- match.arg(theta, c("x", "y"))
r <- if (theta == "x")
"y"
else "x"
ggproto("CoordRadar", CoordPolar, theta = theta, r = r, start = start,
direction = sign(direction),
is_linear = function(coord) TRUE)
}
is.linear.radar <- function(coord) TRUE
# rescale all variables to lie between 0 and 1
scaled <- as.data.frame(lapply(mtcars, ggplot2:::rescale01))
scaled$model <- rownames(mtcars) # add model names as a variable
as.data.frame(melt(scaled,id.vars="model")) -> mtcarsm
mtcarsm2 <- dplyr::filter(mtcarsm, model = model %in% c("Maserati Bora","Volvo 142E"))
my.color = c("red","darkgreen")
mtcarsm2$Make.color <- ifelse(mtcarsm2$model=="Maserati Bora", "1",
ifelse(mtcarsm2$model=="Volvo 142E", "2",
NA ))
cols <- c("Maserati Bora" = "darkorange","Volvo 142E" = "blue")
library(scales)
library(ggthemes)
scaled <- as.data.frame(lapply(mtcars, ggplot2:::rescale01))
scaled$model <- rownames(mtcars) # add model names as a variable
# melt the dataframe
mtcarsm <- reshape2::melt(scaled)
# plot it as using the polygon geometry in the polar coordinates
ggplot(mtcarsm2, aes(x = variable, y = value, fill=as.factor(model))) +
geom_polygon(aes(group = model, color = model), fill = NA, size = 1) +
coord_polar()+
xlab("") + ylab("")+theme_minimal()+scale_colour_manual(
values = c("Maserati Bora" = "darkorange","Volvo 142E" = "deepskyblue4"))+
theme(panel.background = element_rect(fill = "lightblue",
colour = "lightblue",
size = 0.5, linetype = "solid"),
panel.grid.major = element_line(size = 0.5, linetype = 'solid',
colour = "white"),
panel.grid.minor = element_line(size = 0.25, linetype = 'solid',
colour = "white"))
产生的图像
答案 0 :(得分:-1)
用panel.grid.major
替换当前的panel.grid = element_blank()
参数似乎与您的示例一致。
ggplot(mtcarsm2, aes(x = variable, y = value, fill = as.factor(model))) +
geom_polygon(aes(group = model, color = model), fill = NA, size = 1) +
coord_polar() +
xlab("") +
ylab("") +
theme_minimal() +
scale_colour_manual(values = c("Maserati Bora" = "darkorange",
"Volvo 142E" = "deepskyblue4")) +
theme(panel.background = element_rect(
fill = "lightblue", colour = "lightblue", size = 0.5,
linetype = "solid"),
panel.grid = element_blank(),
panel.grid.minor = element_line(
size = 0.25, linetype = 'solid', colour = "white"))