## 基本散点图展示 ### 应用场景 eg: 直观展示两个基因表达相关性 首先我们看看数据结构，在所有的可视化的教程中我们如果将数据准备好的，那么我们利用下面的代码可以快速的做出自己想要做的图。如图2-1,数据来源于TCGA数据库，列名是样本名，行名是基因名。  ```R load('./test_exp.Rdata')#rt # rt即上图展示数据 x <- as.numeric(rt['MT-TF', ]) y <- as.numeric(rt['MT-TV', ]) plot(x, y, main = "Main title", xlab = "MT-TF expression", ylab = "MT-TV expression", pch = 19, frame = FALSE) ```  ```R # 调整字体大小,参数cex plot(x, y, main = "Main title", cex.lab=1.5, cex.axis=1.5, cex.main=1.5, cex.sub=1.5, xlab = "MT-TF expression", ylab = "MT-TV expression", pch = 19, frame = FALSE) ```  ```R # 调点的颜色和大小 plot(x, y, main = "Main title", cex.lab=1.5, cex.axis=1.5, cex.main=1.5, cex.sub=1.5, col = "blue", cex = 2, #改变 xlab = "MT-TF expression", ylab = "MT-TV expression", pch = 19, frame = FALSE) ```