AI代码解释 scale_x_log10(breaks=10^(-1:5))# 值域过大会自动输出为科学记数法scale_y_log10(breaks=10^(0:3))scales包的trans_format()函数可使刻度标签使用指数记数法library(scales)scale_x_log10(breaks=10^(-1:5),labels=trans_format("log10",math_format(10^.x))) 4.8.3 对数坐标轴刻度...
text.x = element_text(angle=60,vjust=1,hjust=1))+ labs(x=NULL,y="Nucleotide diversity (\u03c0)")+ scale_y_log10(breaks=c(0.00001,0.0001,0.001,0.01,0.1), labels = scales::trans_format("log10", scales::math_format(10^.x)))+ scale_fill_manual(values = c("#00a087","#4dbbd...
sp + coord_trans(y="log2") 1. 2. # 设置刻度和标签 sp + scale_y_continuous(trans = log2_trans(), breaks = trans_breaks("log2", function(x) 2^x), # 这里非常有意思,能够着重看一下帮助文档 labels = trans_format("log2", math_format(2^.x))) ...
#修改坐标刻度标签 require(scales) p+scale_y_continuous(trans=log2_trans(), breaks = trans_breaks("log2", function(x) 2^x), labels=trans_format("log2", math_format(2^.x))) 1. 2. 3. 4. 5. #坐标轴反向 p+scale_y_reverse() 1. 2. 坐标刻度:刻度线、标签、顺序等 更改坐标轴刻...
编者按:数据可视化是解析、理解和展示数据不可缺少的一部分。炫或不炫看个人喜好和功底,能否达意是最基本的要求---最合适的图示和配色表达最直观的含义。长文多图预警,这是关于ggplot2使用的极详细教程(190+图),是入门和晋级参考的不二手册。 前面部分是关于qplot的使用,后面是ggplot2图层的使用。原文使用R自带数据...
trans = log_trans(),breaks = trans_breaks("log", function(x) exp(x)),labels = trans_format("log", math_format(e^.x))) + scale_y_continuous(trans = log2_trans(),breaks = trans_breaks("log2", function(x) 2^x),labels = trans_format("log2", math_format(2^.x))...
ggplot2将常见的统计变换融入到了绘图中。 ggplot的绘图有以下几个特点:第 一,有明确的起始(以ggplot函数开始)与终止(一句语句一幅图);其 二,图层之间的叠加是靠“+”号实现的,越后面其图层越高。 ggplot图的元素可以主要可以概括如下:最大的是plot(指整张图,包括background和title),其次是axis(包括stick,text...
# 坐标变换sp+coord_trans(y="log2") # 设置刻度和标签sp+scale_y_continuous(trans=log2_trans(),breaks=trans_breaks("log2",function(x)2^x),# 这里非常有意思,能够着重看一下帮助文档labels=trans_format("log2",math_format(2^.x)))
trans = log_trans(), breaks = trans_breaks("log", function(x) exp(x)), labels = trans_format("log", math_format(e^.x)) ) + scale_y_continuous( trans = log2_trans(), breaks = trans_breaks("log2", function(x) 2^x), labels = trans_format("log2", math_format(2^.x)) ...
scale_y_log10(breaks=c(0.00001,0.0001,0.001,0.01,0.1), labels = scales::trans_format("log10", scales::math_format(10^.x)))+ scale_fill_manual(values = c("#00a087","#4dbbd5","#968bc8"))+geom_text(data=data.frame(x=c(1,2,3),y=c(0.2,0.6,0.99),label=c("c","b","a...