错误：没有统计数据称为StatHline [英] Error: no stat called StatHline
问题描述
我有一个数据框如下：
variable = c（D，D，C ，C，C，A，B，B，B，B）
值= c（80,100,70,68,65,45,33,31 ，36,32）
Count = as.integer（c（5,10,4,5,2,7,3,5,6,2））
mean = c（93.3,93.3， 68.2,68.2,68.2,45,33.4,33.4,33.4,33.4）
sumVarVal = data.frame（variable = variable，value = value，Count = Count，mean = mean）
我可以做一个好的情节（其中平方的大小对应于具有特定x值和y值的观察次数），如下所示：
library（ggplot2）
ggplot（sumVarVal，aes（variable，value））+
geom_point（aes（size = Count），pch = 15）+
guides（fill = guide_legend（title =New））+
theme（legend.background = element_rect（fill = $
color =black），
legend.text = element_text（size = rel（1.3）），
legend.title = element_text（size = rel（1.3），face =plain），
legend.position =botto m，
axis.text = element_text（size = rel（1.3）），
axis.title = element_text（size = rel（1.3）））+
labs（x =学习结果，y =百分比等级）
但是，我以前有一个额外的代码（在语法结尾），允许我在四个主题中的每一个上叠加一个水平条，表示平均百分比等级。这些值存储在df $ mean中。这是我使用的代码：
ggplot（sumVarVal，aes（variable，value））+
geom_point aes（size = Count），pch = 15）+
guides（fill = guide_legend（title =New））+
theme（legend.background = element_rect（fill =gray90，size =
legend.text = element_text（size = rel（1.3）），
legend.title = element_text（size = rel（1.3），face =plain ）
legend.position =bottom，
axis.text = element_text（size = rel（1.3）），
axis.title = element_text（size = rel（1.3））） +
labs（x =Learning Outcome，y =Percentage Grade）+
geom_errorbar（stat =hline，width = 0.6，color =blue，size = 1，aes ymax = .. y ..，ymin = .. y ..，yintercept = mean））
使用版本 1.0.1 ，这将给出：
使用版本 2.0.0 ，现在会导致错误：
错误：没有统计数据称为StatHline。
我知道这可能连接到ggplot2中的最新升级。我已经看到其他最近的评论（
似乎一些平均的蓝线不排在他们的价值观，原来在平均向量中给出。例如，对于变量D，它应该具有93.3的平均值，但蓝色水平线似乎显示为90.0的值。在我的实际代码（不是这个MWE）中，效果更加显着。任何想法可能导致这种差异？
stat_hline
I have a data frame as follows:
variable=c("D","D","C","C","C","A","B","B","B","B")
value=c(80,100,70,68,65,45,33,31,36,32)
Count=as.integer(c(5,10,4,5,2,7,3,5,6,2))
mean=c(93.3,93.3,68.2,68.2,68.2,45,33.4,33.4,33.4,33.4)
sumVarVal=data.frame(variable=variable,value=value,Count=Count,mean=mean)
I can make a nice plot (where the size of the square corresponds to the count of observations with that particular x-value and y-value), as shown below:
library(ggplot2)
ggplot(sumVarVal, aes(variable, value)) +
geom_point(aes(size = Count), pch=15) +
guides(fill=guide_legend(title="New")) +
theme(legend.background = element_rect(fill="gray90",
size=.5,
colour = "black"),
legend.text=element_text(size=rel(1.3)),
legend.title=element_text(size=rel(1.3), face="plain"),
legend.position="bottom",
axis.text = element_text(size=rel(1.3)),
axis.title = element_text(size = rel(1.3))) +
labs(x="Learning Outcome", y = "Percentage Grade")
However, I used to have an additional piece of code (at the end of the syntax) that allowed me to superimpose a horizontal bar on each of the four topics, indicating the mean percentage grade. Those values are stored in df$mean. Here is the code I was using:
ggplot(sumVarVal, aes(variable, value)) +
geom_point(aes(size = Count), pch=15) +
guides(fill=guide_legend(title="New")) +
theme(legend.background = element_rect(fill="gray90", size=.5, colour = "black"),
legend.text=element_text(size=rel(1.3)),
legend.title=element_text(size=rel(1.3), face="plain"),
legend.position="bottom",
axis.text = element_text(size=rel(1.3)),
axis.title = element_text(size = rel(1.3))) +
labs(x="Learning Outcome", y = "Percentage Grade") +
geom_errorbar(stat = "hline", width=0.6, colour = "blue", size = 1, aes(ymax=..y..,ymin=..y.., yintercept = mean))
With version 1.0.1, this gives:
With version 2.0.0, it now leads to an error:
Error: no stat called StatHline.
I know this may be connected to recent upgrades in ggplot2. I have seen other recent comments about it (geom_errorbar - "No stat called StatHline"). However, due to my code surrounding the use of stat="hline", when I tried some of these suggestions, I was not able to get my code to work either. Perhaps there is something I do not understand about my original code that is preventing me from being able to update this issue?
EDIT: I have taken into account some of the suggestions, and am currently using this code:
ggplot(sumVarVal, aes(variable, value)) +
geom_point(aes(size = Count), pch=15) +
guides(fill=guide_legend(title="New")) +
theme(legend.background = element_rect(fill="gray90", size=.5, colour = "black"),
legend.text=element_text(size=rel(1.3)),
legend.title=element_text(size=rel(1.3), face="plain"),
legend.position="bottom",
axis.text = element_text(size=rel(1.3)),
axis.title = element_text(size = rel(1.3))) +
labs(x="Learning Outcome", y = "Percentage Grade") +
geom_errorbar(stat = "summary", fun.y = "mean", width=0.6, colour = "blue", size = 1, aes(ymax=..y..,ymin=..y.., yintercept = mean))
This gives me an output that looks like this:
It seems that some of the mean blue lines are not lining up to their values, as given originally in the mean vector. For instance, for variable "D", it should have a mean value of 93.3, but the blue horizontal line seems to be displayed at a value of 90.0. The effect is even more dramatic in my real code (not this MWE). Any ideas what might be causing this discrepancy?
stat_hline got removed in ggplot2 2.0.0, but never fear; it wasn't really necessary anyway. If you remove the stat argument entirely, it will default to identity, which is fine. (summary can work, too, if you prefer.) You need to change the aes mapping, though, changing yintercept to y to account for the new stat.
All together,
ggplot(sumVarVal, aes(variable, value)) +
geom_point(aes(size = Count), pch=15) +
guides(fill=guide_legend(title="New")) +
theme(legend.background = element_rect(fill="gray90", size=.5, colour = "black"),
legend.text=element_text(size=rel(1.3)),
legend.title=element_text(size=rel(1.3), face="plain"),
legend.position="bottom",
axis.text = element_text(size=rel(1.3)),
axis.title = element_text(size = rel(1.3))) +
labs(x="Learning Outcome", y = "Percentage Grade") +
geom_errorbar(width=0.6, colour = "blue", size = 1, aes(ymax=..y.., ymin=..y.., y = mean))
produces
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