我创建了一个函数,可以同时绘制许多因子分析中的载荷,即使它们的变量没有完全重叠(或根本重叠)。它工作得很好,但有时分析中的因子载荷是相同的,这意味着这些点被绘制在彼此之上。
library(pacman)
p_load(devtools, psych, stringr, plotflow)
source_url("https://raw.githubusercontent.com/Deleetdk/psych2/master/psych2.R")
loadings.plot2 = function(fa.objects, fa.names=NA) {
fa.num = length(fa.objects) #number of fas
#check names are correct or set automatically
if (length(fa.names)==1 & is.na(fa.names)) {
fa.names = str_c("fa.", 1:fa.num)
}
if (length(fa.names) != fa.num) {
stop("Names vector does not match the number of factor analyses.")
}
#merge into df
d = data.frame() #to merge into
for (fa.idx in 1:fa.num) { #loop over fa objects
loads = fa.objects[[fa.idx]]$loadings
rnames = rownames(loads)
loads = as.data.frame(as.vector(loads))
rownames(loads) = rnames
colnames(loads) = fa.names[fa.idx]
d = merge.datasets(d, loads, 1)
}
#reshape to long form
d2 = reshape(d,
varying = 1:fa.num,
direction="long",
ids = rownames(d))
d2$time = as.factor(d2$time)
d2$id = as.factor(d2$id)
colnames(d2)[2] = "fa"
print(d2)
#plot
g = ggplot(reorder_by(id, ~ fa, d2), aes(x=fa, y=id, color=time, group=time)) +
geom_point(position=position_dodge()) +
xlab("Loading") + ylab("Indicator") +
scale_color_discrete(name="Analysis",
labels=fa.names)
return(g)
}
#Some example plots
fa1 = fa(iris[-5])
fa2 = fa(iris[-c(1:50),-5])
fa3 = fa(ability)
fa4 = fa(ability[1:50,])
loadings.plot2(list(fa1,fa1,fa2))
在这里,我将同一个对象绘制了两次,只是为了显示效果。该图没有红点,因为绿色的点来自fa.2
都在上面。相反,我希望它们在 y 轴上被躲避。然而,position="dodge"
各种设置似乎没有什么区别。
然而,position="jitter"
有效,但它是随机的,所以有时它不能很好地工作并且使情节看起来混乱。
如何使 y 轴上的点被躲避?