r中的警告消息

发布于 2025-02-12 18:24:16 字数 802 浏览 2 评论 0原文

我正在尝试更改堆叠条形图上的Y标签，因为它似乎正在制作值总计3的值。

这是我的数据框架：

 Morph Choice     Value
1 Orange Orange 1.7333330
2 Orange  Green 1.2666670
3  Green Orange 0.8666667
4  Green  Green 2.1333333

这是我用于生成堆叠条形图的脚本；

ggp2M<- ggplot(data = forbargraphMEANS.df,
              aes(x = Morph,
                  y = Value,
                  fill = Choice))+
  geom_bar(position = "fill", stat = "identity") + scale_y_continuous(limits=c(0,3))

会产生此警告信息；

Warning message:
Removed 4 rows containing missing values (position_stack).

（没有“ scale_y_continuul（limits = c（0,3））”，它起作用，但y为0.00-1.00）。

我不知道如何使其0-3而不是0-1。同样，如果数据集中的3个值超过1，为什么会真正混淆为什么要做0-1。

让我知道这是否没有意义。先感谢您。

NB我已经用不同的数据集创建了我想要的东西，该数据集要求y是一个百分比。

原文

I am trying to change the y label on a stacked bar graph because it seems to be making values that add up to 3 add up to 1 instead.

Here is my data frame:

 Morph Choice     Value
1 Orange Orange 1.7333330
2 Orange  Green 1.2666670
3  Green Orange 0.8666667
4  Green  Green 2.1333333

Here is my script for generating a stacked bar graph;

ggp2M<- ggplot(data = forbargraphMEANS.df,
              aes(x = Morph,
                  y = Value,
                  fill = Choice))+
  geom_bar(position = "fill", stat = "identity") + scale_y_continuous(limits=c(0,3))

which creates this warning message;

Warning message:
Removed 4 rows containing missing values (position_stack).

(Without "scale_y_continuous(limits=c(0,3))" it works but y is 0.00 - 1.00).

I can't figure out how to make it 0-3 rather than 0-1. Also just genuinely confused why it would do 0-1 if 3 of the values in the dataset are more than 1.

Let me know if any of this doesn't make sense.
Thank you in advance.

N.B. I have created exactly what I wanted with a different dataset that required y to be a percentage.

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以为你会在 2025-02-19 18:24:17

我没有看到任何警告，但是我对您的确切想要的东西有些困惑。

library(ggplot2)

forbargraphMEANS.df<- data.frame (Morph = c("Orange", "Orange", "Green", "Green"),
                  Choice = c("Orange", "Green", "Orange", "Green"),
                  Value = c(1.7333330, 1.2666670, 0.8666667, 2.1333333)
                  )
forbargraphMEANS.df

ggp2M<- ggplot(data = forbargraphMEANS.df,
              aes(x = Morph,
                  y = Value,
                  fill = Choice))+
  geom_bar(position = "fill", stat = "identity") + scale_y_continuous(limits=c(0,3))

ggp2M

以上是您的代码，输出在下面

如果您希望它加起来多达三个，则可以使用以下代码（删除position = “填充” part）

library(ggplot2)

forbargraphMEANS.df<- data.frame (Morph = c("Orange", "Orange", "Green", "Green"),
                  Choice = c("Orange", "Green", "Orange", "Green"),
                  Value = c(1.7333330, 1.2666670, 0.8666667, 2.1333333)
                  )
forbargraphMEANS.df

ggp2M<- ggplot(data = forbargraphMEANS.df,
              aes(x = Morph,
                  y = Value,
                  fill = Choice))+
  geom_bar(stat = "identity") + scale_y_continuous(limits=c(0,3))

ggp2M

I am not seeing any warning, but I a little confused about what you exactly want.

library(ggplot2)

forbargraphMEANS.df<- data.frame (Morph = c("Orange", "Orange", "Green", "Green"),
                  Choice = c("Orange", "Green", "Orange", "Green"),
                  Value = c(1.7333330, 1.2666670, 0.8666667, 2.1333333)
                  )
forbargraphMEANS.df

ggp2M<- ggplot(data = forbargraphMEANS.df,
              aes(x = Morph,
                  y = Value,
                  fill = Choice))+
  geom_bar(position = "fill", stat = "identity") + scale_y_continuous(limits=c(0,3))

ggp2M

Above is your code, and the output is below

If you want it to add up to three, then you can use the following code (remove the position = "fill" part)

library(ggplot2)

forbargraphMEANS.df<- data.frame (Morph = c("Orange", "Orange", "Green", "Green"),
                  Choice = c("Orange", "Green", "Orange", "Green"),
                  Value = c(1.7333330, 1.2666670, 0.8666667, 2.1333333)
                  )
forbargraphMEANS.df

ggp2M<- ggplot(data = forbargraphMEANS.df,
              aes(x = Morph,
                  y = Value,
                  fill = Choice))+
  geom_bar(stat = "identity") + scale_y_continuous(limits=c(0,3))

ggp2M