available_aes = c("colour", "color", "fill") ) 该函数的参数根据名称都很好理解,这里就不再一一介绍了。 示例如下: p14 <- p11 + guides(col = guide_colorbar( title = "图例", frame.colour = "black", ticks.colour = NA, reverse = T, title.vjust = 0.8, barheight = 8)) p14 1.3 ...
guide = 'colourbar', aesthetics = 'colour') low、high 设定渐变的两种颜色 na.value 空值的颜色 guide 图例的形式,连续型“colourbar”、离散型'legend' aesthetics 设定颜色映射通道 “fill”、'colour' ggplot(mpg, aes(displ, hwy, color = hwy)) geom_point() scale_color_gradient(low = '#132B43...
guide_colorbar()函数的定义为: guide_colorbar(title=waiver(),title.position=NULL,title.theme=NULL,title.hjust=NULL,title.vjust=NULL,label=TRUE,label.position=NULL,label.theme=NULL,label.hjust=NULL,label.vjust=NULL,barwidth=NULL,barheight=NULL,nbin=300,raster=TRUE,frame.colour=NULL,frame.linewi...
p1 + guides(fill = guide_colorbar()) # 具体映射 p1 + scale_fill_distiller(palette = "YlGn", direction = 1) + guides(fill = guide_colorbar(title = "值", nbin = 100, # 指定图例名称,水平放置,增加分箱数为100 barwidth = 0.5, barheight = 10,# 指定图例箱体尺寸,宽为0.5mm,高为10...
9.1guide_colorbar **_colorbar()参数: ** library(ggplot2) library(reshape2) df <- melt(outer(1:4, 1:4), varnames = c("X1", "X2")) p1 <- ggplot(df, aes(X1, X2)) + geom_tile(aes(fill = value)) p2 <- p1 + geom_point(aes(size = value)) p1 + scale_fill_continuous...
合乎逻辑的。如果真,colorbar被颠倒了。默认情况下,最高的值在顶部,最低的值在底部 order positive integer less that 99 that specifies the order of this guide among multiple guides. This controls the order in which multiple guides are displayed, not the contents of the guide itself. If 0 (defaul...
guide = 'colourbar', aesthetics = 'colour') low、high 设定渐变的两种颜色 na.value 空值的颜色 guide 图例的形式,连续型“colourbar”、离散型'legend' aesthetics 设定颜色映射通道 “fill”、'colour' ggplot(mpg, aes(displ, hwy, color = hwy)) geom_point() scale_color_gradient(low = '#132B43...
shape = guide_legend()) p3 <- p + scale_colour_continuous(guide = "colorbar") + scale_size_discrete(guide = "legend") + scale_shape(guide = "legend") 再比如,删除某一图例或整合所有图例 # 删除图例 p1 <- p + guides(colour = "none") ...
9.1 guide_colorbar **_colorbar()参数: ** (点击放大) library(ggplot2) library(reshape2) df <- melt(outer(1:4, 1:4), varnames = c('X1', 'X2')) p1 <- ggplot(df, aes(X1, X2)) + geom_tile(aes(fill = value)) p2 <- p1 + geom_point(aes(size = value)) ...
available_aes = c("colour", "color", "fill") ) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 该函数的参数根据名称都很好理解,这里就不再一一介绍了。 示例如下: p14 <- p11 + guides(col = guide_colorbar(