增加轴刻度的数量 [英] Increase number of axis ticks
问题描述
我为某些数据生成了图表,但滴答数量太少,我在阅读时需要更多的精确度。
有什么方法可以增加ggplot2中的坐标轴数量?
我知道我可以告诉ggplot使用矢量作为坐标轴,但我想要的是为所有数据增加滴答数。换句话说,我想从数据中计算出剔号。
可能ggplot在内部用一些算法来做这件事,但我找不到它是如何做到的,可以根据我想要的进行更改。
/ code>和/或 scale_y_continuous
。例如: library(ggplot2)
dat < - data.frame(x = rnorm(100), y = rnorm(100))
ggplot(dat,aes(x,y))+
geom_point()
给你:
重写比例可以给你这样的东西:
ggplot(dat,aes(x,y))+
geom_point()+
scale_x_continuous(breaks = round(seq(min(dat $ x) ,1))+
scale_y_continuous(break = round(seq(min(dat $ y),max(dat $ y),by = 0.5),1)max(dat $ x) )
如果你想简单地放大一个图的特定部分,看看 xlim()
和 ylim()
。您也可以在此了解其他参数。
I'm generating plots for some data, but the number of ticks is too small, I need more precision on the reading.
Is there some way to increase the number of axis ticks in ggplot2?
I know I can tell ggplot to use a vector as axis ticks, but what I want is to increase the number of ticks, for all data. In other words, I want the tick number to be calculated from the data.
Possibly ggplot do this internally with some algorithm, but I couldn't find how it does it, to change according to what I want.
You can override ggplots default scales by modifying scale_x_continuous
and/or scale_y_continuous
. For example:
library(ggplot2)
dat <- data.frame(x = rnorm(100), y = rnorm(100))
ggplot(dat, aes(x,y)) +
geom_point()
Gives you this:
And overriding the scales can give you something like this:
ggplot(dat, aes(x,y)) +
geom_point() +
scale_x_continuous(breaks = round(seq(min(dat$x), max(dat$x), by = 0.5),1)) +
scale_y_continuous(breaks = round(seq(min(dat$y), max(dat$y), by = 0.5),1))
If you want to simply "zoom" in on a specific part of a plot, look at xlim()
and ylim()
respectively. Good insight can also be found here to understand the other arguments as well.
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