如何在R中的cvTools包的交叉验证结果图中更改字体大小？

Question

我试图操纵字体的大小(特别是标题和轴标签)，在cvTools包在R中的交叉验证结果图中。恐怕它不起作用：

library(cvTools)
data(coleman)
set.seed(1234) 

# Split n observations into K groups to be used for (repeated) K-fold cross-validation
folds <- cvFolds(nrow(coleman), K = 5, R = 50)

# perform cross-validation for an LS regression model
fitLm <- lm(Y ~ ., data = coleman)
cvFitLm <- cvLm(fitLm, cost = rtmspe, folds = folds, trim = 0.1)

# perform cross-validation for an MM regression model
fitLmrob <- lmrob(Y ~ ., data = coleman, k.max = 500)
cvFitLmrob <- cvLmrob(fitLmrob, cost = rtmspe, folds = folds, trim = 0.1)

# combine results into one object
cvFits <- cvSelect(LS = cvFitLm, MM = cvFitLmrob)

下面两行的绘图点大小不同，但标题字体大小/标签字体大小没有变化。

# plot combined results
plot(cvFits, main = "foo_title")
plot(cvFits, main = "foo_title", cex = 0.5, cex.main = 0.5, cex.lab = 0.5)

我在这里想念什么？

Answer 1

基本图形par设置一般不适用于点阵图形和其他网格图形。cvTools的绘图方法使用点阵图形。以下是更改绘图中各种字体大小的方法：

  plot(cvFits, cex=0.5,                                  # Point markers
       main = list("foo_title", cex = 1),                # Title
       xlab=list(cex=0.75), ylab=list(cex=0.75),         # Axis titles
       scales=list(x=list(cex=0.75), y=list(cex=0.75)))  # Axis tick labels