在地图上独立移动2个图例ggplot2

Tyl*_*ker 4 r legend ggplot2 r-grid

我想在地图上独立移动两个传说以节省保存并使演示更好.

这是数据:

##              INST..SUB.TYPE.DESCRIPTION Enrollment      lat       lng
## 1                        CHARTER SCHOOL        274 42.66439 -73.76993
## 2                 PUBLIC SCHOOL CENTRAL        525 42.62502 -74.13756
## 3     PUBLIC SCHOOL CENTRAL HIGH SCHOOL         NA 40.67473 -73.69987
## 4                    PUBLIC SCHOOL CITY        328 42.68278 -73.80083
## 5            PUBLIC SCHOOL CITY CENTRAL        288 42.15746 -78.74158
## 6                  PUBLIC SCHOOL COMMON         NA 43.73225 -74.73682
## 7     PUBLIC SCHOOL INDEPENDENT CENTRAL        284 42.60522 -73.87008
## 8  PUBLIC SCHOOL INDEPENDENT UNION FREE        337 42.74593 -73.69018
## 9             PUBLIC SCHOOL SPECIAL ACT         75 42.14680 -78.98159
## 10             PUBLIC SCHOOL UNION FREE        256 42.68424 -73.73292
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我在这篇文章中看到你可以独立移动两个传说,但是当我尝试传说时,不要去我想要的地方(左上角,如e1情节,右中间,e2情节).

/sf/answers/932945541/

最终所需的输出将与另一个网格图合并,因此我需要能够以某种方式将其指定为grob.我想了解如何实际移动传说,因为其他帖子为他们工作,它不能解释发生了什么.

这是我正在尝试的代码:

library(ggplot2); library(maps); library(grid); library(gridExtra); library(gtable)
ny <- subset(map_data("county"), region %in% c("new york"))
ny$region <- ny$subregion

p3 <- ggplot(dat2, aes(x=lng, y=lat)) + 
    geom_polygon(data=ny, aes(x=long, y=lat, group = group)) 

(e1 <- p3 + geom_point(aes(colour=INST..SUB.TYPE.DESCRIPTION, 
    size = Enrollment), alpha = .3) +
    geom_point() + 
    theme(legend.position = c( .2, .81),
        legend.key = element_blank(),
        legend.background = element_blank())  +
    guides(size=FALSE, colour = guide_legend(title=NULL, 
        override.aes = list(alpha = 1, size=5))))


leg1 <- gtable_filter(ggplot_gtable(ggplot_build(e1)), "guide-box") 



(e2 <- p3 + geom_point(aes(colour=INST..SUB.TYPE.DESCRIPTION, 
    size = Enrollment), alpha = .3) +
    geom_point() + 
    theme(legend.position = c( .88, .5),
        legend.key = element_blank(),
        legend.background = element_blank())  +
    guides(colour=FALSE))

leg2 <- gtable_filter(ggplot_gtable(ggplot_build(e2)), "guide-box") 

(e3 <- p3 + geom_point(aes(colour=INST..SUB.TYPE.DESCRIPTION, 
    size = Enrollment), alpha = .3) +
    geom_point() + 
    guides(colour=FALSE, size=FALSE))



plotNew <- arrangeGrob(leg1, e3, 
         heights = unit.c(leg1$height, unit(1, "npc") - leg1$height), ncol = 1)

plotNew <- arrangeGrob(plotNew, leg2,
          widths = unit.c(unit(1, "npc") - leg2$width, leg2$width), nrow = 1)

grid.newpage()
plot1 <- grid.draw(plotNew)


plot2 <- ggplot(mtcars, aes(mpg, hp)) + geom_point()
grid.arrange(plot1, plot2)
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##我也绑了:

e3 + 
    annotation_custom(grob = leg2, xmin = -74, xmax = -72.5, ymin = 41, ymax = 42.5) +
    annotation_custom(grob = leg1, xmin = -80, xmax = -76, ymin = 43.7, ymax = 45)
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## dput数据:

dat2 <- 
structure(list(INST..SUB.TYPE.DESCRIPTION = c("CHARTER SCHOOL", 
"PUBLIC SCHOOL CENTRAL", "PUBLIC SCHOOL CENTRAL HIGH SCHOOL", 
"PUBLIC SCHOOL CITY", "PUBLIC SCHOOL CITY CENTRAL", "PUBLIC SCHOOL COMMON", 
"PUBLIC SCHOOL INDEPENDENT CENTRAL", "PUBLIC SCHOOL INDEPENDENT UNION FREE", 
"PUBLIC SCHOOL SPECIAL ACT", "PUBLIC SCHOOL UNION FREE"), Enrollment = c(274, 
525, NA, 328, 288, NA, 284, 337, 75, 256), lat = c(42.6643890904276, 
42.6250153712452, 40.6747307730359, 42.6827826714356, 42.1574638634531, 
43.732253, 42.60522, 42.7459287878497, 42.146804, 42.6842408825698
), lng = c(-73.769926191186, -74.1375573966339, -73.6998654715486, 
-73.800826733851, -78.7415828275227, -74.73682, -73.87008, -73.6901801893874, 
-78.981588, -73.7329216476674)), .Names = c("INST..SUB.TYPE.DESCRIPTION", 
"Enrollment", "lat", "lng"), row.names = c(NA, -10L), class = "data.frame")
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期望的输出:

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Tyl*_*ker 5

这可行,但需要一些调整。只需在您想要的位置绘制一个图例,然后用于annotation_custom添加第二个图例。这不能推广到 n 个传奇。如果能得到这样的答案就太好了。看来您annotation_custom一次只能使用一个。

plot1 <- e1 + 
    annotation_custom(grob = leg2, xmin = -74, xmax = -72.5, ymin = 41, ymax = 42.5) 

plot2 <- ggplot(mtcars, aes(mpg, hp)) + geom_point()
grid.arrange(plot1, plot2)
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在此输入图像描述


San*_*att 5

顺便说一句,有可能使用多个annotation_custom:

library(ggplot2); library(maps); library(grid); library(gridExtra); library(gtable)
    ny <- subset(map_data("county"), region %in% c("new york"))
    ny$region <- ny$subregion

    p3 <- ggplot(dat2, aes(x = lng, y = lat)) + 
        geom_polygon(data=ny, aes(x = long, y = lat, group = group)) 

    # Get the colour legend
    (e1 <- p3 + geom_point(aes(colour = INST..SUB.TYPE.DESCRIPTION, 
        size = Enrollment), alpha = .3) +
        geom_point() + theme_gray(9) +
        guides(size = FALSE, colour = guide_legend(title = NULL, 
            override.aes = list(alpha = 1, size = 3))) +
        theme(legend.key.size = unit(.35, "cm"),
            legend.key = element_blank(),
            legend.background = element_blank()))

    leg1 <- gtable_filter(ggplot_gtable(ggplot_build(e1)), "guide-box") 

    # Get the size legend
    (e2 <- p3 + geom_point(aes(colour=INST..SUB.TYPE.DESCRIPTION, 
        size = Enrollment), alpha = .3) +
        geom_point() + theme_gray(9) +
        guides(colour = FALSE) +
        theme(legend.key = element_blank(),
            legend.background = element_blank()))

    leg2 <- gtable_filter(ggplot_gtable(ggplot_build(e2)), "guide-box") 

    # Get first base plot - the map
    (e3 <- p3 + geom_point(aes(colour = INST..SUB.TYPE.DESCRIPTION, 
        size = Enrollment), alpha = .3) +
        geom_point() + 
        guides(colour = FALSE, size = FALSE))


leg2Grob <- grobTree(leg2)
leg3Grob <- grobTree(leg2)
leg4Grob <- grobTree(leg2)
leg5Grob <- grobTree(leg2)
leg1Grob <- grobTree(leg1)

p = e3 +
  annotation_custom(leg2Grob, xmin=-73.5, xmax=Inf, ymin=41, ymax=43) +
  annotation_custom(leg1Grob, xmin=-Inf, xmax=-76.5, ymin=43.5, ymax=Inf) +
  annotation_custom(leg3Grob, xmin = -Inf, xmax = -79, ymin = -Inf, ymax =  41.5) +
  annotation_custom(leg4Grob, xmin = -78, xmax = -76, ymin = 40.5, ymax = 42) +
  annotation_custom(leg5Grob, xmin=-73.5, xmax=-72, ymin=43.5, ymax=Inf)
p
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在此输入图像描述