gpt4 book ai didi

r - 获取日志空间中的边距线位置

转载 作者:行者123 更新时间:2023-12-04 07:20:45 33 4
gpt4 key购买 nike

previous question中,我询问了如何获取用户坐标中的边界线位置。我以line2user函数的形式收到了一个很好的答案。但是,当x轴或y轴处于对数刻度时,我无法弄清楚如何修改该功能以使其工作。

我做了一些修改以适应对数刻度轴:

line2user <- function(line, side, log = "") {
lh <- par('cin')[2] * par('cex') * par('lheight')
x_off <- diff(grconvertX(0:1, 'inches', 'user'))
y_off <- diff(grconvertY(0:1, 'inches', 'user'))
usr <- par('usr') ## Added by me
if (grepl("x", log)) usr[1:2] <- 10^usr[1:2] ## Added by me
if (grepl("y", log)) usr[3:4] <- 10^usr[3:4] ## Added by me
switch(side,
`1` = usr[3] - line * y_off * lh,
`2` = usr[1] - line * x_off * lh,
`3` = usr[4] + line * y_off * lh,
`4` = usr[2] + line * x_off * lh,
stop("Side must be 1, 2, 3, or 4", call.=FALSE))
}

但是,我无法弄清楚如何正确调整 xoffyoff变量以绘制正确的线条。插图:
setup_plot <- function(log = "") {
par(mar = c(2, 10, 2, 2), oma = rep(2, 4))
plot.new()
plot.window(xlim = c(1, 10), ylim = c(1, 10), log = log)
box(which = "plot", lwd = 2, col = "gray40")
box(which = "figure", lwd = 2, col = "darkred")
box(which = "outer", lwd = 2, col = "darkgreen")
text(x = 0.5, y = 0.5,
labels = "Plot Region",
col = "gray40", font = 2)
mtext(side = 3, text = "Figure region", line = 0.5, col = "darkred", font = 2)
mtext(side = 3, text = "Device region", line = 2.5, col = "darkgreen", font = 2)
for (i in 0:9) {
mtext(side = 2, col = "darkred", text = paste0("Line", i), line = i)
}
}

setup_plot(log = "x")
abline(v=line2user(line=0:9, side=2, log = "x"), xpd=TRUE, lty=2)

考虑以下示例后,压缩线才有意义:
plot(10)
diff(grconvertX(0:1, 'inches', 'user'))
## [1] 0.08121573 (on my device)

plot(10, log = "x")
diff(grconvertX(0:1, 'inches', 'user'))
## [1] 0.0297354 (on my device)

使用对数刻度轴时,如何获得正确的 x_offy_off值?

最佳答案

这是适用于对数刻度和线性刻度轴的版本。诀窍是用npc坐标而不是user坐标表示线位置,因为当轴在对数刻度上时,后者当然不是线性的。

line2user <- function(line, side) {
lh <- par('cin')[2] * par('cex') * par('lheight')
x_off <- diff(grconvertX(c(0, lh), 'inches', 'npc'))
y_off <- diff(grconvertY(c(0, lh), 'inches', 'npc'))
switch(side,
`1` = grconvertY(-line * y_off, 'npc', 'user'),
`2` = grconvertX(-line * x_off, 'npc', 'user'),
`3` = grconvertY(1 + line * y_off, 'npc', 'user'),
`4` = grconvertX(1 + line * x_off, 'npc', 'user'),
stop("Side must be 1, 2, 3, or 4", call.=FALSE))
}

以下是一些示例,它们通过 setup_plot应用于您的 mar=c(5, 5, 5, 5):
setup_plot()
axis(1, line=5)
axis(2, line=5)
abline(h=line2user(0:4, 1), lty=3, xpd=TRUE)
abline(v=line2user(0:4, 2), lty=3, xpd=TRUE)
abline(h=line2user(0:4, 3), lty=3, xpd=TRUE)
abline(v=line2user(0:4, 4), lty=3, xpd=TRUE)
setup_plot(log='x')
axis(1, line=5)
axis(2, line=5)
abline(h=line2user(0:4, 1), lty=3, xpd=TRUE)
abline(v=line2user(0:4, 2), lty=3, xpd=TRUE)
abline(h=line2user(0:4, 3), lty=3, xpd=TRUE)
abline(v=line2user(0:4, 4), lty=3, xpd=TRUE)
setup_plot(log='y')
axis(1, line=5)
axis(2, line=5)
abline(h=line2user(0:4, 1), lty=3, xpd=TRUE)
abline(v=line2user(0:4, 2), lty=3, xpd=TRUE)
abline(h=line2user(0:4, 3), lty=3, xpd=TRUE)
abline(v=line2user(0:4, 4), lty=3, xpd=TRUE)
setup_plot(log='xy')
axis(1, line=5)
axis(2, line=5)
abline(h=line2user(0:4, 1), lty=3, xpd=TRUE)
abline(v=line2user(0:4, 2), lty=3, xpd=TRUE)
abline(h=line2user(0:4, 3), lty=3, xpd=TRUE)
abline(v=line2user(0:4, 4), lty=3, xpd=TRUE)

关于r - 获取日志空间中的边距线位置,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/30765866/

33 4 0
Copyright 2021 - 2024 cfsdn All Rights Reserved 蜀ICP备2022000587号
广告合作:1813099741@qq.com 6ren.com