我想为下面的点阵图形添加两个等价图。 plot()
函数par(mfcol=c(1,2))
的常用技巧不适用于这些基于点阵的图形。我看了相关的帖子,虽然我似乎无法从解决方案中提取我需要的信息。如何组合以下等效图,使它们在输出中相邻(并排)?或者,换句话说,等于par(mfcol=c(1,2))
的格子是什么?
require(equivalence)
# Simplified data for equivalence plot 1
a = c(2,4,6,8,10,12,14,16,18)
b = c(1,3,5,7,9,11,13,15,17)
mydata1 = data.frame(a,b)
equivalence.xyplot(mydata1$b ~ mydata1$a,
alpha=0.05, b0.ii=0.25, b1.ii=0.25)
# Simplified data for equivalence plot 2
x = c(1,4,8,2,3,4,6,5,9)
y = c(2,4,7,3,3,4,7,5,9)
mydata2 = data.frame(x,y)
equivalence.xyplot(mydata2$y ~ mydata2$x,
alpha=0.05, b0.ii=0.25, b1.ii=0.25)
答案 0 :(得分:1)
根据@mplourde评论中的link,代码的以下更改将图表排列到我的规格中:
require(equivalence)
# Simplified data for equivalence plot 1
a = c(2,4,6,8,10,12,14,16,18)
b = c(1,3,5,7,9,11,13,15,17)
mydata1 = data.frame(a,b)
px1 = equivalence.xyplot(mydata1$b ~ mydata1$a,
alpha=0.05, b0.ii=0.25, b1.ii=0.25)
# Simplified data for equivalence plot 2
x = c(1,4,8,2,3,4,6,5,9)
y = c(2,4,7,3,3,4,7,5,9)
mydata2 = data.frame(x,y)
px2 = equivalence.xyplot(mydata2$y ~ mydata2$x,
alpha=0.05, b0.ii=0.25, b1.ii=0.25)
print(px1, position=c(0, 0.5, .5, 1), more=TRUE)
print(px2, position=c(0.5, 0.5, 1, 1))