I want to test if two graphs generated by ggplot are the same. One option would be to use all.equal
on the plot objects, but I'd rather have a harder test to ensure they're the same, which seems like is something identical()
provides me.
我想测试ggplot生成的两个图是否相同。一种选择是在绘图对象上使用all.equal,但我宁愿进行更难的测试以确保它们是相同的,这似乎是相同的()提供给我的东西。
However, when I tested two plot objects created with the same data
and the same aes
, I've found that all.equal()
recognizes them as being the same, whereas the objects didn't pass the identical
test. I'm not sure why and I'd love to learn more.
但是,当我测试使用相同数据和相同的aes创建的两个绘图对象时,我发现all.equal()将它们识别为相同,而对象没有通过相同的测试。我不确定为什么,我想要了解更多。
Basic example:
基本示例:
graph <- ggplot2::ggplot(data = iris, aes(x = Species, y = Sepal.Length))
graph2 <- ggplot2::ggplot(data = iris, aes(x = Species, y = Sepal.Length))
all.equal(graph, graph2)
# [1] TRUE
identical(graph, graph2)
# [1] FALSE
1 个解决方案
#1
23
The graph
and graph2
objects contain environments and each time an environment is generated it is different even if it holds the same values. R lists are identical if they have the same contents but unlike lists environments have object identity. Try:
graph和graph2对象包含环境,每次生成环境时,即使它具有相同的值,它也是不同的。如果R列表具有相同的内容但是列表环境具有对象标识,则R列表是相同的。尝试:
dput(graph)
giving the following which includes environments denoted by <environment>
in the dput
output: (continued after output)
在输出输出中给出以下包括
...snip...
), class = "factor")), .Names = c("Sepal.Length", "Sepal.Width",
"Petal.Length", "Petal.Width", "Species"), row.names = c(NA,
-150L), class = "data.frame"), layers = list(), scales = <environment>,
mapping = structure(list(x = Species, y = Sepal.Length), .Names = c("x",
"y"), class = "uneval"), theme = list(), coordinates = <environment>,
facet = <environment>, plot_env = <environment>, labels = structure(list(
x = "Species", y = "Sepal.Length"), .Names = c("x", "y"
))), .Names = c("data", "layers", "scales", "mapping", "theme",
"coordinates", "facet", "plot_env", "labels"), class = c("gg",
"ggplot"))
For example, consider:
例如,考虑:
g <- new.env()
g$a <- 1
g2 <- new.env()
g2$a <- 1
identical(as.list(g), as.list(g2))
## [1] TRUE
all.equal(g, g2)
## [1] TRUE
identical(g, g2)
## [1] FALSE
#1
23
The graph
and graph2
objects contain environments and each time an environment is generated it is different even if it holds the same values. R lists are identical if they have the same contents but unlike lists environments have object identity. Try:
graph和graph2对象包含环境,每次生成环境时,即使它具有相同的值,它也是不同的。如果R列表具有相同的内容但是列表环境具有对象标识,则R列表是相同的。尝试:
dput(graph)
giving the following which includes environments denoted by <environment>
in the dput
output: (continued after output)
在输出输出中给出以下包括
...snip...
), class = "factor")), .Names = c("Sepal.Length", "Sepal.Width",
"Petal.Length", "Petal.Width", "Species"), row.names = c(NA,
-150L), class = "data.frame"), layers = list(), scales = <environment>,
mapping = structure(list(x = Species, y = Sepal.Length), .Names = c("x",
"y"), class = "uneval"), theme = list(), coordinates = <environment>,
facet = <environment>, plot_env = <environment>, labels = structure(list(
x = "Species", y = "Sepal.Length"), .Names = c("x", "y"
))), .Names = c("data", "layers", "scales", "mapping", "theme",
"coordinates", "facet", "plot_env", "labels"), class = c("gg",
"ggplot"))
For example, consider:
例如,考虑:
g <- new.env()
g$a <- 1
g2 <- new.env()
g2$a <- 1
identical(as.list(g), as.list(g2))
## [1] TRUE
all.equal(g, g2)
## [1] TRUE
identical(g, g2)
## [1] FALSE