p + theme( axis.text.x = element_blank(), # Remove x axis tick labels axis.text.y = element_blank(), # Remove y axis tick labels axis.ticks = element_blank()) 调整坐标轴刻度位置 vjust修改垂直方向的距离,hjust修改左右方向的距离。 p + theme( axis.text.x=element_text(vjust = 1,...
p + theme( axis.text.x = element_blank(), # Remove x axis tick labels axis.text.y = element_blank(), # Remove y axis tick labels axis.ticks = element_blank()) # Remove ticks mark 当然可以自定义坐标轴了 离散非连续坐标轴 scale_x_discrete(name, breaks, labels, limits) scale_y_dis...
aes(Var1, y=Var2, fill=value))+ geom_tile(color="white")+ scale_fill_gradient2(low = "blue", high = "red", mid = "white", midpoint = 0, limit=c(-1, 1), space = "Lab", name="Person\nCorrelation")+ theme_minimal()+ theme(axis.text.x = element_text(angle = ...
p+theme(axis.text.x=element_text(face="bold",color="#993333",size=14,angle=45),axis.text.y=element_text(face="bold",color="blue",size=14,angle=45)) 删掉坐标轴文本和ticks 代码语言:javascript 复制 p+theme(axis.text.x=element_blank(),# Remove x axis tick labels axis.text.y=element...
ggarrange(bxp, dp, bp+rremove("x.text"), labels = c("A", "B", "C"), ncol = 2, nrow = 2) cowplot::plot.grid() plot_grid(bxp, dp, bp+rremove("x.text"), labels = c("A", "B", "C"), ncol = 2, nrow = 2) ...
支持为每一个分面图增加坐标刻度,并支持移除或保留x轴或者y轴的标签: 代码语言:javascript 复制 p+facet_wrap2(vars(class),axes="all",remove_labels="x") plot of chunk unnamed-chunk-4 支持更加强大的分面图形布局,还可以进行留白: 代码语言:javascript ...
3. 如何调整XY轴范围(How to Adjust the X and Y Axis Limits) 3.1 方法1:通过删除范围之外的点 3.2 方法2:放大 4. 如何更改标题和轴标签(How to Change the Title and Axis Labels) ...
(legendtitlesandlabels)7.6、多特征图例7.7、图例标题字号、颜色设置7.8、图例添加背景色7.9、图例位置8、ggplot2添加辅助线8.1、所有柱子添加水平直线8.2、每个柱子各自添加辅助线8.3、分面图中添加辅助线9、ggplot2图形分面9.1、y轴方向分面9.2、x轴方向分面9.3、x轴y轴方向同时分面9.4、分面为指定的行数和...
xlab()和ylab()修改x 和 y 轴标签:ggplot(mpg, aes(cty, hwy)) + geom_point(alpha = 1 / 3) ggplot(mpg, aes(cty, hwy)) + geom_point(alpha = 1 / 3) + xlab("city driving (mpg)") + ylab("highway driving (mpg)") # Remove the axis labels with NULL ggplot(mpg, aes(cty, ...
# y-axis geom_segment(data = seg, aes(x = x, xend = xend, y = y, yend = yend), color = "red", linetype = "12") 添加文本注释 seg_lab <- tibble(x = c(0, 0, 0, 3, 5, 6), y = seq(0,25, 5)) ggplot() + ...