好吧,这让我很难过。我有这个功能:
tf <- function(formula = NULL, data = NULL) {
res <- as.character(formula[[2]])
fac2 <- as.character(formula[[3]][3])
fac1 <- as.character(formula[[3]][2])
# Aesthetic & Data 1
p <- ggplot(aes_string(x = fac1, y = res, color = fac1), data = data) +
facet_grid(paste(".~", fac2)) + geom_point() # OK if we only go this far
facCounts <- count(data, vars = c(fac2, fac1))
facCounts$label <- paste("n = ", facCounts$freq , sep = "")
facCounts$y <- min(data$res) - 0.1*diff(range(data$res))
facCounts <- facCounts[,-3]
names(facCounts) <- c("f2", "f1", "lab", "y") # data frame looks correct
# Aesthetic & Data 2
p <- p + geom_text(aes(x = f1, y = y, label = lab),
color = "black", size = 4.0, data = facCounts) + facet_grid(".~f2")
p
}
使用此数据运行并调用时:
set.seed(1234)
mydf <- data.frame(
resp = rnorm(40),
cat1 = sample(LETTERS[1:3], 40, replace = TRUE),
cat2 = sample(letters[1:2], 40, replace = TRUE))
p <- tf(formula = resp~cat1*cat2, data = mydf); print(p)
产生这张图片:
如果你仔细看,你会发现这两个方面的数据实际上是相同的。对于应该显示(并存储在 中)的数据,计数是正确的facCounts
。如果调用 togeom_text
被注释掉,那么情节是正确的。对呼叫的各种更改geom_text
让我看到您在上面看到的内容,或者存在正确的数据但计数文本重叠。我找不到走出这个迷宫的路!尝试+ annotate("text", ...)
也不起作用。需要进行哪些更改才能保持数据的多面性和正确的计数?谢谢。这是 ggplot 0.9.3 顺便说一句。