ggplot的qplot不会在采购上执行 [英] ggplot's qplot does not execute on sourcing
问题描述
假设我有两个源文件,第一个是 example1.r
,第二个是 example2.r
(在下面给出)。
example1.r
plot(1:10,1:10)
example2.r
qplot(1:10,1:10)
当我输入example1.r时,绘制图形。但是,当我输入example2.r时,它不会。这里有什么解决方案?
(example2.r中的qplot是 gplot2 's function)
更新:
来源
的选项 print.eval = TRUE
会导致评估结果的打印行为,例如在交互式命令行中。
code> source(Script.R,print.eval = TRUE)
- .Rnw文件:
knitr
默认模拟交互式命令行wrt的行为。打印
ING。请注意,也可以将knitr
指定为R包引擎的Sweaving引擎。
这是我的原始答案。但请注意,这种解决方法是恕我直言,现在完全过时了(它总是有利于一个小懒惰的利基)。 这是着名的 FAQ 7.22:为什么格子/网格图形不起作用?。
对于像ggplot2或lattice这样的网格图形,您需要打印图形对象才能真正绘制它。
在命令行上以交互方式自动完成。其他地方(需要源文件,循环,函数,Sweave块)你需要明确地打印它。
print(qplot (1:10,1:10))
或者,您可以重新定义 qplot
来完成打印:
qplot< - function(x,y = NULL,z = NULL,...){
p < - ggplot2 :: qplot(x = x,y = y,z = z,...)
print(p)
}
(这会将轴标签更改为x和y)。
我在这个小插曲中使用了这种方法,我想要在交互式会话中完全按照用户编写代码来输入代码。
Let's assume I have 2 source files, the first one named example1.r
and the second one example2.r
(given below).
example1.r
plot(1:10,1:10)
example2.r
qplot(1:10,1:10)
When I source example1.r, the graph is drawn. It does not, however, when I source example2.r. What is the solution here?
(qplot in example2.r is ggplot2's function)
Update:
- .R files:
source
's optionprint.eval=TRUE
will lead to printing behaviour of the evaluation result like in the interactive command line.
source("Script.R", print.eval=TRUE)
- .Rnw files:
knitr
by default emulates the behaviour of the interactive command line wrt.print
ing. Note thatknitr
can be specified as Sweaving engine also for R package vignettes.
This is my original answer. But note that this workaround is IMHO completely obsolete now (and it always was good for a small lazy niche only).
This is the famous FAQ 7.22: Why do lattice/trellis graphics not work?.
For grid graphics like ggplot2 or lattice, you need to print the graphics object in order to actually draw it.
Interactively on the command line this is done automatically. Everywhere else (inside files to be sourced, loops, functions, Sweave chunks) you need to print it explicitly.
print (qplot (1 : 10, 1 : 10))
Alternatively, you can redefine qplot
to do the printing:
qplot <- function (x, y = NULL, z = NULL, ...) {
p <- ggplot2::qplot (x = x, y = y, z = z, ...)
print (p)
}
(this changes the axis labels to x and y).
I use this approach in vignettes where I want to write code exactly as a user in an interactive session would type it.
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