## 基本散點圖展示 ### 應用場景 eg: 直觀展示兩個基因表達相關性 首先我們看看數據結構，在所有的可視化的教程中我們如果將數據準備好的，那么我們利用下面的代碼可以快速的做出自己想要做的圖。如圖2-1,數據來源于TCGA數據庫，列名是樣本名，行名是基因名。  ```R load('./test_exp.Rdata')#rt # rt即上圖展示數據 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 # 調整字體大小,參數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 # 調點的顏色和大小 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, #改變 xlab = "MT-TF expression", ylab = "MT-TV expression", pch = 19, frame = FALSE) ```