blocks|key|825460|text|我不确定你想要什么，但我会使用晶格。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|825461|x+=+rep(x,2)
y+=+c(y1,y2)
fac.data+=+as.factor(rep(1:2,each=5))
df+=+data.frame(x=x,y=y,z=fac.data)
#+this+create+a+data+frame+where+I+have+a+factor+variable,+z,+that+tells+me+which+data+I+have+(y1+or+y2)|code-block|syntax|javascript|825462|然后，只需绘制|825463|xyplot(y+~x%7Cz,+df)
#+or+maybe
xyplot(x+~y%7Cz,+df)|825464|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|N|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

I'm not sure what you want, but i'll use lattice.

<pre><code>x = rep(x,2)
y = c(y1,y2)
fac.data = as.factor(rep(1:2,each=5))
df = data.frame(x=x,y=y,z=fac.data)
# this create a data frame where I have a factor variable, z, that tells me which data I have (y1 or y2)
</code></pre>

Then, just plot

<pre><code>xyplot(y ~x|z, df)
# or maybe
xyplot(x ~y|z, df)
</code></pre>

blocks|key|825581|text|(典型的方法是只使用一次plot来设置限制，可能是为了包括所有系列组合的范围，然后使用points和lines添加单独的系列。)要在par(new=TRUE)中多次使用plot，您需要确保您的第一个绘图有一个正确的ylim来接受all系列(在另一种情况下，您可能还需要对xlim使用相同的策略)：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|825582|#+first+plot
plot(x,+y1,+ylim=range(c(y1,y2)))

#+second+plot++EDIT:+needs+to+have+same+ylim
par(new+=+TRUE)
plot(x,+y2,+ylim=range(c(y1,y2)),+axes+=+FALSE,+xlab+=+"",+ylab+=+"")|code-block|syntax|javascript|825583|​|825584|📷|atomic|825585|825586|下面的代码将更简洁地完成这项任务，默认情况下，你会得到点形式的数字，但第二个代码会给你典型的R类型--“点”：|825587|++matplot(x,+cbind(y1,y2))
++matplot(x,+cbind(y1,y2),+pch=1)|825588|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/bf755cfa4655992b93847db643a2c3df.png|imageAlt^0|C|4|17|6|1E|5|1U|D|2C|4|2Z|4|0|0|0|0|1|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|13|8|@$9|14|A|15|B|C]|$9|16|A|17|B|C]|$9|18|A|19|B|C]|$9|1A|A|1B|B|C]|$9|1C|A|1D|B|C]|$9|1E|A|1F|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|1G|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|1H|8|@]|D|@]|E|$]]|$1|M|3|N|5|O|7|1I|8|@]|D|@$9|1J|A|1K|1|1L]]|E|$]]|$1|P|3|L|5|6|7|1M|8|@]|D|@]|E|$]]|$1|Q|3|R|5|6|7|1N|8|@]|D|@]|E|$]]|$1|S|3|T|5|H|7|1O|8|@]|D|@]|E|$I|J]]|$1|U|3|-4|5|6|7|1P|8|@]|D|@]|E|$]]]|V|$W|$5|X|Y|Z|E|$10|11|12|-4]]]]

(The typical method would be to use <code>plot</code> just once to set up the limits, possibly to include the range of all series combined, and then to use <code>points</code> and <code>lines</code> to add the separate series.) To use <code>plot</code> multiple times with <code>par(new=TRUE)</code> you need to make sure that your first plot has a proper <code>ylim</code> to accept the all series (and in another situation, you may need to also use the same strategy for xlim):

<pre><code># first plot
plot(x, y1, ylim=range(c(y1,y2)))

# second plot EDIT: needs to have same ylim
par(new = TRUE)
plot(x, y2, ylim=range(c(y1,y2)), axes = FALSE, xlab = "", ylab = "")
</code></pre>

<img src="https://i.stack.imgur.com/TPfym.png" alt="enter image description here">

This next code will do the task more compactly, by default you get numbers as points but the second one gives you typical R-type-"points":

<pre><code> matplot(x, cbind(y1,y2))
 matplot(x, cbind(y1,y2), pch=1)
</code></pre>

blocks|key|825678|text|我的解决方案是使用ggplot2。它会自动处理这些类型的事情。最重要的是适当地安排数据。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|825679|y1+<-+c(100,+200,+300,+400,+500)
y2+<-+c(1,+2,+3,+4,+5)
x+<-+c(1,+2,+3,+4,+5)
df+<-+data.frame(x=rep(x,2),+y=c(y1,+y2),+class=c(rep("y1",+5),+rep("y2",+5)))|code-block|syntax|javascript|825680|然后使用ggplot2对其进行绘图|825681|library(ggplot2)
ggplot(df,+aes(x=x,+y=y,+color=class))+%2B+geom_point()|825682|这意味着在df中绘制数据，并通过class分隔点。|825683|生成的图是|825684|📷|atomic|825685|​|825686|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/8a56a65f2963beead1864af7cce2adf9.png|imageAlt^0|9|7|0|0|4|7|0|0|5|2|G|5|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|16|8|@$9|17|A|18|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|19|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|1A|8|@$9|1B|A|1C|B|C]]|D|@]|E|$]]|$1|M|3|N|5|H|7|1D|8|@]|D|@]|E|$I|J]]|$1|O|3|P|5|6|7|1E|8|@$9|1F|A|1G|B|C]|$9|1H|A|1I|B|C]]|D|@]|E|$]]|$1|Q|3|R|5|6|7|1J|8|@]|D|@]|E|$]]|$1|S|3|T|5|U|7|1K|8|@]|D|@$9|1L|A|1M|1|1N]]|E|$]]|$1|V|3|W|5|6|7|1O|8|@]|D|@]|E|$]]|$1|X|3|-4|5|6|7|1P|8|@]|D|@]|E|$]]]|Y|$Z|$5|10|11|12|E|$13|14|15|-4]]]]

My solution is to use <code>ggplot2</code>. It takes care of these types of things automatically. The biggest thing is to arrange the data appropriately.

<pre><code>y1 &lt;- c(100, 200, 300, 400, 500)
y2 &lt;- c(1, 2, 3, 4, 5)
x &lt;- c(1, 2, 3, 4, 5)
df &lt;- data.frame(x=rep(x,2), y=c(y1, y2), class=c(rep("y1", 5), rep("y2", 5)))
</code></pre>

Then use <code>ggplot2</code> to plot it

<pre><code>library(ggplot2)
ggplot(df, aes(x=x, y=y, color=class)) + geom_point()
</code></pre>

This is saying plot the data in <code>df</code>, and separate the points by <code>class</code>.

The plot generated is<img src="https://i.stack.imgur.com/loLOi.png" alt="enter image description here">

This is a follow-up of <a href="https://stackoverflow.com/questions/5479822/plotting-4-curves-in-a-single-plot-with-3-y-axes-in-r">this question</a>.

I wanted to plot multiple curves on the same graph but so that my new curves respect the same y-axis scale generated by the first curve.

Notice the following example:

<pre><code>y1 &lt;- c(100, 200, 300, 400, 500)
y2 &lt;- c(1, 2, 3, 4, 5)
x &lt;- c(1, 2, 3, 4, 5)

# first plot
plot(x, y1)

# second plot
par(new = TRUE)
plot(x, y2, axes = FALSE, xlab = "", ylab = "")
</code></pre>

That actually plots both sets of values on the same coordinates of the graph (because I'm hiding the new y-axis that would be created with the second plot).

My question then is how to maintain the same y-axis scale when plotting the second graph.

Plotting multiple curves same graph and same scale

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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这是的后续版本。我想在同一张图上绘制多条曲线，但我的新曲线遵循第一条曲线生成的相同y轴比例。请注意以下示例：y1 <- c(100, 200, 300, 400, 500)y2 <- c(1, 2, 3, 4, 5)x <- c(1, 2, 3, 4, 5)# first plotplot(x, y1)# second...

问绘制多条曲线相同的图形和相同的比例
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