在 R 中,我尝试使用鼠标以交互方式识别直方图中的 bin 值。我想我需要相当于散点图的identify()函数的东西。但identify()似乎不适用于直方图。
最佳答案
使用locator()
查找点,然后查找该值位于哪个区间,确保它小于条形的 y 值,然后返回计数:
set.seed(100)
h <- hist(rnorm(1:100))
# use locator() when doing this for real, i'm going to use a saved set of points
#l <- locator()
l <- list(x = c(-2.22, -1.82, -1.26, -0.79,-0.57, -0.25, 0.18, 0.75,
0.72, 1.26), y = c(1.46, 7.81, 3.79, 9.08, 17.11, 11.61, 15,
17.96, 5.9, 3.37))
# for debugging purposes - the nth value of the output should match where
# the n value is shown on the histogram
text(l, labels=1:10, cex=0.7, font=2)
fi <- findInterval(l$x, h$breaks)
sel <- (l$y > 0) & (l$y < h$counts[fi])
replace(h$counts[fi], !sel, NA)
#[1] 3 NA 9 14 NA 22 20 NA 13 7
关于r - 识别直方图中的点,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/67596891/