我想将两个图合并为一个图: 当我尝试下面的代码时:
<androidx.constraintlayout.widget.ConstraintLayout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto"
xmlns:tools="http://schemas.android.com/tools"
android:layout_width="match_parent"
android:layout_height="match_parent"
tools:context=".Fragments.CheckoutScreen">
<!-- This is an example of how my view should look like -->
<CheckBox
android:id="@+id/favourite_checkBox"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_marginEnd="8dp"
app:layout_constraintBottom_toBottomOf="@+id/textView4"
app:layout_constraintEnd_toEndOf="parent"
app:layout_constraintTop_toTopOf="@+id/textView4" />
<TextView
android:id="@+id/textView5"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_marginStart="8dp"
android:text="T"
android:textSize="18sp"
app:layout_constraintBottom_toBottomOf="@+id/textView4"
app:layout_constraintStart_toStartOf="parent"
app:layout_constraintTop_toTopOf="@+id/textView4" />
<TextView
android:id="@+id/textView4"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_marginStart="8dp"
android:text="Title"
android:textSize="18sp"
app:layout_constraintBottom_toBottomOf="parent"
app:layout_constraintStart_toEndOf="@+id/textView5"
app:layout_constraintTop_toTopOf="parent"
app:layout_constraintVertical_bias="0.383" />
data_df <- df%>%
filter(!is.na(LayerName)) %>%
dplyr::select(LayerName, A,B) %>%
group_by(LayerName) %>%
dplyr::summarise(lower=min(A),upper=max(A),Mean=mean(A),
lower_out=min(B),upper_out=max(B),Mean_out=mean(B))
c<-ggplot(data = data_df, mapping = aes(x = LayerName, y = Mean)) +
geom_pointrange(mapping = aes(ymin = lower, ymax = upper),color = "red")
r<-c+ggplot(data = data_df, mapping = aes(x = LayerName, y = Mean_out)) +
geom_pointrange(mapping = aes(ymin = lower_out, ymax = upper_out),color = "blue")+
theme_bw()
ggplotly(r)
答案 0 :(得分:1)
您可以添加额外的图层,但要避免两次使用ggplot()
。因此,像这样更改r的分配可能会起作用:
r<-c +
geom_pointrange(mapping = aes(y = Mean_out, ymin = lower_out, ymax = upper_out), color = "blue") +
theme_bw()