To remove this gap currently one has to add scale_y_continuous(expand = expansion(c(0, 0.05)) to the plot. This is cumbersome to type, easy to forget and hard to grasp for beginners. I'd love to have a shortcut for that, something like: scale_y_tight <- function(...) { scale...
scale_y_continuous 函数的基本语法如下: scale_y_continuous( name = waiver(), breaks = waiver(), labels = waiver(), limits = NULL, expand = waiver(), oob = censor, na.value = 'red', trans = 'identity', position = 'left' ) 其中,各参数的含义如下: - name:y 轴名称,默认为 waiver...
在ggplot中,y轴默认是根据数据的取值范围自动设置刻度。但有时我们需要将y轴的刻度设置为固定值,以便更好地展示数据。 scale_y_continuous函数的语法如下: scale_y_continuous(limits = NULL, breaks = waiver(), labels = waiver(), trans = "identity", ..., oob = censor, expand = waiver())...
position:坐标轴的位置;对于x轴有top、bottom两种,y轴有left、right两种。 p14 <- p11 + scale_x_discrete(expand = c(0,0)) p15 <- p11 + scale_x_discrete(position = "top") p14 + p15 连续坐标标度 连续坐标标度对应的函数是scale_x_continuous(),语法结构如下: scale_x_continuous( name = waiv...
minor_breaks = c(3, 5)) + # 重新指定坐标轴名称, 只显示区间(2, 6)范围的元素, 更改坐标轴刻度和标签 scale_y_continuous(name = "高速公路油耗" ) # 重新指定坐标轴名称 set.seed(14) df <- data.frame( x = rnorm(10) * 100000, ...
这个R tutorial描述如何使用ggplot2包修改x和y轴刻度。同样,该文包含如何执行轴转换(对数化,开方等)和日期转换。...改变x和y轴刻度下面是一些设置刻度的函数: xlim() 和 ylim() expand_limits() scale_x_continuous() 和scale_y_continuo...
If the null hypothesis is true for conceptc,pcis distributed approximately according to a continuous uniform distribution over the interval (0, 1]. Accordingly, –logpcis distributed according to an exponential distribution with mean and variance =1. ...
(ref.10), our earliest sampled timepoint (Extended Data Fig.2e). To distinguish between bona fide lineage relationships and mere continuous transcriptional relationships across cell states in our atlas, we manually constructed a graph of documented lineage relationships, harmonized with our cell type ...
Also, the phenotype of liver microvessels changes from a highly specialized porous sinusoid to a continuous, more rigid capillary. Fibrosis is locally distributed around the damaged tissue, which vary among different diseases by different causes. Therefore, to study the microstructural changes during ...
scale_x_continuous(breaks = seq(10, 40, by = 5)) 改变标签 labels 参数允许你自定义刻度线的标签。 R ggplot(data = mtcars, aes(x = mpg, y = wt)) + geom_point() + scale_x_continuous(labels = function(x) paste0(x, " L/100km")) 改变刻度线样式 expand 参数可以调整刻度线相对于数...