(label = P_value_sig), color = 'black', size = 2) + ggsci::scale_fill_gsea() + theme(legend.position="top") + theme + facet_grid( ~ group, scales = 'free') + labs(y = 'Taxonomy', x = 'Environment', title = 'Spearman Correlation Plot', size = '|rho|', color = 'rho...
1.1 散点图(Scatterplot) 1.2 带边界的散点图(Scatterplot With Encircling) 1.3 抖动图(Jitter Plot) 1.4 计数图(Counts Chart) 1.5 气泡图(Bubble Plot) 1.6 边际直方图/箱线图(Marginal Histogram / Boxplot) ...
(label = value, size = 0.3), color = "white") + labs(title = "mtcars - Correlation plot") + theme(text = element_text(size = 10), legend.position = "none", aspect.ratio = 1) p2 <- p1 + scale_fill_distiller(palette = "Reds") p3 <- p1 + scale_fill_gradient2() gridExtra...
title = "Temperature correlation curves", caption = "Data:XXX") + theme(plot.title = element_text(hjust = 0.5, size = 15, face = "bold.italic"), plot.caption = element_text(hjust = 0)) 1. 2. 3. 4. 5. 6. 7. 更改多行文本的间距 ggplot(chlr, aes(x = date, y = temp)) ...
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# t=20.296,df=198,p-value<2.2e-16# alternative hypothesis:truecorrelation is not equal to0#95percent confidence interval:#0.77097830.8622419# sample estimates:# cor #0.821813 绘图 1、使用 par,plot,rect,grid基础函数 对画布进行基本设置
1 相关性(Correlation) 相关性图有助于检查两个变量之间的相关程度。 本节主要内容有: 散点图(Scatterplot) 带边界的散点图(Scatterplot With Encircling) 抖动图(Jitter Plot) 计数图(Counts Chart) 气泡图(Bubble Plot) 边际直方图/箱线图(Marginal Histogram / Boxplot) ...
() + scale_fill_gradient2(low = "blue", mid = "white", high = "red", midpoint = 0, limit = c(-1,1), space = "Lab", name="Correlation") + theme_minimal() + theme(axis.text.x = element_text(angle = 45, hjust = 1)) + labs(title = "Correlation Heatmap", x = "...
ggcorr - Plot a correlation matrix with ggplot2Francois Briatte
(yintercept=0,size=1,linetype="dotted",color="black")+# 添加垂直线geom_vline(xintercept=3,size=1,linetype="dotted",color="black")+# 添加坐标轴与图像标题labs(title="Diamonds Point Plot",x="Carat",y="Price")+# 调整坐标轴的显示范围coord_cartesian(xlim=c(0,3),ylim=c(0,20000))+...