如何根据R中数据集的列名在多个图中添加数学表达式标题?
要分别绘制每列,我使用以下循环如何根据R中数据集的列名在多个图中添加数学表达式标题?,r,plot,title,symbolic-math,R,Plot,Title,Symbolic Math,要分别绘制每列,我使用以下循环 keep.beta beta_0 C1 beta_1 C1 beta_2 C1 beta_0 C2 beta_1 C2 beta_2 C2 beta_0 C3 beta_1 C3 beta_2 C3 1 6.118431 0.14186598 -8.898830e-04 6.022789 0.2284664 -0.008715484 6.362422 0.1623198 -0.007603638 2 6.063539 0
keep.beta
beta_0 C1 beta_1 C1 beta_2 C1 beta_0 C2 beta_1 C2 beta_2 C2 beta_0 C3 beta_1 C3 beta_2 C3
1 6.118431 0.14186598 -8.898830e-04 6.022789 0.2284664 -0.008715484 6.362422 0.1623198 -0.007603638
2 6.063539 0.13401758 5.027927e-06 5.986915 0.2469357 -0.009225261 6.150559 0.2002901 -0.007515155
3 6.193407 0.05483201 6.126576e-03 5.841100 0.3347416 -0.016506298 7.146271 -0.3979893 0.041127363
4 6.078092 0.05110730 6.354140e-03 5.562972 0.4690519 -0.027162758 8.179671 -1.0250484 0.089065099
5 6.256228 -0.09785900 1.856215e-02 5.644385 0.4701571 -0.027528102 8.394842 -1.2646359 0.106934875
beta_0 C4 beta_1 C4 beta_2 C4
1 6.097189 0.16624813 -0.004341827
2 6.164902 0.09360776 0.002282821
3 6.211754 0.03602315 0.007230330
4 6.505551 -0.10780312 0.016602683
5 6.692843 -0.24754950 0.028275593
loop.vector=1:ncol(keep.beta)
#贝塔的阴谋
for(循环向量中的b){
x、 beta您需要正则表达式来提取beta和Cs。然后使用bquote
和变量()
来绘制它们。这类似于expression()
,但更灵活。mtext
可以跳出循环
loop.vector=1:ncol(keep.beta)
#plot for betas
for(b in loop.vector) {
x.beta<-keep.beta[,b]
plot(x.beta, type = "l", main=colnames(keep.beta)[b], ylab="")
mtext("beta plot",line=-1.5, cex=1.5, outer = TRUE)
}
op您需要正则表达式来提取beta和Cs。然后使用bquote
和变量()
来绘制它们。这类似于expression()
,但更灵活。mtext
可以跳出循环
loop.vector=1:ncol(keep.beta)
#plot for betas
for(b in loop.vector) {
x.beta<-keep.beta[,b]
plot(x.beta, type = "l", main=colnames(keep.beta)[b], ylab="")
mtext("beta plot",line=-1.5, cex=1.5, outer = TRUE)
}
op如果列名为beta0_c1
,beta1_c1
,beta2_c1
等等,该怎么办?然后替换我答案中的正则表达式:nam如果列名为beta0_c1
,beta1_c1
,beta2_c1
等等,那么替换我答案中的正则表达式o:nam
keep.beta <- data.frame(1:5, 2:6, 3:7, 4:8, 5:9, 6:10)
names(keep.beta) <- c("beta_0 C1","beta_1 C1","beta_2 C1",
"beta_0 C2","beta_1 C2","beta_2 C2")