我试图覆盖两个直方图并以对数刻度绘制其y轴。一些示例代码:
import java.awt.BorderLayout;
import java.awt.GridLayout;
import java.awt.event.ActionEvent;
import javax.swing.*;
@SuppressWarnings("serial")
public class RadioEg extends JPanel {
private static final String[] RADIO_TEXTS = {"Monday", "Tuesday", "Wednesday", "Thursday", "Friday"};
private ButtonGroup buttonGroup = new ButtonGroup();
public RadioEg() {
JPanel radioPanel = new JPanel(new GridLayout(0, 1));
for (String radioText : RADIO_TEXTS) {
JRadioButton radioButton = new JRadioButton(radioText);
radioButton.setActionCommand(radioText); // set this!
radioPanel.add(radioButton); // add to JPanel
buttonGroup.add(radioButton); // add to button group
}
JPanel southPanel = new JPanel();
southPanel.add(new JButton(new AbstractAction("GetSelection") {
@Override
public void actionPerformed(ActionEvent e) {
ButtonModel buttonModel = buttonGroup.getSelection();
if (buttonModel != null) {
String actionCommand = buttonModel.getActionCommand();
System.out.println("Selected Button: " + actionCommand);
}
}
}));
setLayout(new BorderLayout());
add(radioPanel, BorderLayout.CENTER);
add(southPanel, BorderLayout.PAGE_END);
}
private static void createAndShowGui() {
JFrame frame = new JFrame("RadioEg");
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame.getContentPane().add(new RadioEg());
frame.pack();
frame.setLocationRelativeTo(null);
frame.setVisible(true);
}
public static void main(String[] args) {
SwingUtilities.invokeLater(new Runnable() {
public void run() {
createAndShowGui();
}
});
}
}
如果没有设置dat1<- data.frame(
x = rpois(1000, 50),
y = rep("X1", 1000)
)
dat2<- data.frame(
x = rpois(1000, 30),
y = rep("X0", 1000)
)
dat<- rbind(dat1, dat2)
p <- ggplot(dat, aes(x = x, fill = y)) +
geom_histogram(
aes(y=..density..),
breaks= seq( min(dat$x), max(dat$x),(max(dat$x)-min(dat$x))/30 ),
alpha=0.4,
position="identity", lwd=0.2
) +
scale_y_log10() +
scale_fill_manual(values=c("red", "black"), labels=c("X1", "X0"))
print(p)
,我会得到类似的结果:
然而,使用scale_y_log10()
后,直方图颜色未正确填充(参见下文,两个直方图的重叠未填充颜色,而是填充空白区域)。任何想法如何解决这个问题?
答案 0 :(得分:1)
使用:
ggplot(dat) +
geom_histogram(aes(x=x, y=log10(..density.. + 1), fill=y), alpha=0.4, position="identity", lwd=0.2) +
scale_fill_manual(values=c("red", "black"), labels=c("X1", "X0"))
你得到:
一些解释:现在你的情节中有x
个值为零。这在进行日志转换时会出现一些问题。通过添加1
,您可以在对数刻度中包含零。