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algorithms-for-computing-line-estimators
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anpassung u.a. AboutPanel

Browse Source
master Release
Armin Wolf 5 years ago
parent b428dee264
commit 51ada744da
16 changed files with 8175 additions and 2609 deletions
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1
LinearRegressionTool/src/main/java/view/MenuBar.java
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@ -89,6 +89,7 @@ public class MenuBar {
JDialog dialog = new JDialog();
dialog.setSize(410, 420);
dialog.setResizable(false);
dialog.setLocationRelativeTo(view);
dialog.add(new AboutPanel());
dialog.setVisible(true);
});

27
LinearRegressionTool/src/main/java/view/panels/AboutPanel.java
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@ -2,6 +2,10 @@ package view.panels;
import javax.imageio.ImageIO;
import javax.swing.*;
import javax.swing.text.BadLocationException;
import javax.swing.text.SimpleAttributeSet;
import javax.swing.text.StyleConstants;
import javax.swing.text.StyledDocument;
import java.awt.*;
import java.io.IOException;
@ -14,7 +18,7 @@ import java.io.IOException;
*/
public class AboutPanel extends JPanel {
private JTextArea textArea;
private JTextPane textArea;
private JLabel imageContainer;
private JPanel contentPane;
private ImageIcon image;
@ -27,9 +31,26 @@ public class AboutPanel extends JPanel {
this.setSize(new Dimension(410, 400));
this.setLayout(new BorderLayout());
contentPane = new JPanel(new BorderLayout());
this.textArea = new JTextArea();
this.textArea = new JTextPane();
this.textArea.setEditable(false);
this.textArea.setBackground(new Color(0, 0, 0, 0));
this.textArea.setOpaque(false);
SimpleAttributeSet attrs=new SimpleAttributeSet();
StyleConstants.setAlignment(attrs, StyleConstants.ALIGN_CENTER);
StyleConstants.setBackground(new SimpleAttributeSet(), new Color(255, 255, 255, 128));
StyledDocument doc=(StyledDocument)textArea.getDocument();
String text = "\n\n\n\nDiese Software wurde als praktischer Teil der Masterarbeit:\n" +
"\"Algorithmen zur Berechnung von Ausgleichsgeraden\"\n" +
"entwickelt.\n\n" +
" Armin Wolf\n a_wolf28@uni-muenster.de\n" +
"Matrikelnummer: 398214";
try {
doc.insertString(0,text,attrs);
} catch (BadLocationException e) {
e.printStackTrace();
}
doc.setParagraphAttributes(0,doc.getLength()-1,attrs,false);
contentPane.add(this.textArea, BorderLayout.CENTER);
ClassLoader classLoader = getClass().getClassLoader();
try {

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dataset/1000-d.csv
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dataset/3000-d.csv
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dataset/4000-d.csv
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dataset/AppliedLinearRegression.csv
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@ -1,17 +0,0 @@
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7 6 39.5 23.1
8 7 24.2 12.4
9 8 52.5 24.9
10 9 37.9 22.8
11 10 30.5 14.1
12 11 25.1 12.9
13 12 12.4 8.8
14 13 35.1 17.4
15 14 31.5 14.9
16 15 21.1 10.5
17 16 27.6 16.1

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dataset/AppliedLinearRegression2.csv
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55,31,77
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60,40,110
61,40,134
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dataset/ENB2012_data.csv
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50
dataset/Gerade.csv
Unescape View File

@ -0,0 +1,50 @@
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50
dataset/Kreis-Gerade.csv
Unescape View File

@ -0,0 +1,50 @@
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50
dataset/Punktwolke.csv
Unescape View File

@ -0,0 +1,50 @@
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"29","30.0","11.645172738722252"
"30","31.0","121.88843565105908"
"31","32.0","128.03778319403514"
"32","33.0","19.37966883991739"
"33","34.0","-13.692735352554578"
"34","35.0","6.711208606573443"
"35","36.0","130.22280491296078"
"36","37.0","91.7297803622541"
"37","38.0","42.049293888426945"
"38","39.0","46.044446978381885"
"39","40.0","39.199825705603374"
"40","41.0","-12.359712121126897"
"41","42.0","-17.788254107418084"
"42","43.0","117.21365929051606"
"43","44.0","48.17188614158337"
"44","45.0","130.12371840510173"
"45","46.0","46.28999055615544"
"46","47.0","157.16755830093965"
"47","48.0","75.29181079794583"
"48","49.0","96.26971959177412"
"49","50.0","171.59733247056846"
1 0 1.0 -16.517653870593655
2 1 2.0 95.38748970154354
3 2 3.0 -54.88313749530648
4 3 4.0 -25.55391456537862
5 4 5.0 -79.34877993793337
6 5 6.0 -25.063671872660876
7 6 7.0 12.942120745036092
8 7 8.0 12.866519237708802
9 8 9.0 -0.40076305266434176
10 9 10.0 114.4440812358083
11 10 11.0 41.85359420890978
12 11 12.0 6.348155662141217
13 12 13.0 8.367725656512869
14 13 14.0 3.7700694184687684
15 14 15.0 -16.830165968683136
16 15 16.0 -73.7436631884714
17 16 17.0 -62.78802620682529
18 17 18.0 28.515485946892337
19 18 19.0 -18.45622583493943
20 19 20.0 72.13131505299879
21 20 21.0 -7.303978001431709
22 21 22.0 24.28862183141675
23 22 23.0 60.21555394899608
24 23 24.0 120.43041597536529
25 24 25.0 95.80245091401906
26 25 26.0 22.331813686974137
27 26 27.0 -9.792081330908466
28 27 28.0 5.029510354043175
29 28 29.0 -29.59682853313563
30 29 30.0 11.645172738722252
31 30 31.0 121.88843565105908
32 31 32.0 128.03778319403514
33 32 33.0 19.37966883991739
34 33 34.0 -13.692735352554578
35 34 35.0 6.711208606573443
36 35 36.0 130.22280491296078
37 36 37.0 91.7297803622541
38 37 38.0 42.049293888426945
39 38 39.0 46.044446978381885
40 39 40.0 39.199825705603374
41 40 41.0 -12.359712121126897
42 41 42.0 -17.788254107418084
43 42 43.0 117.21365929051606
44 43 44.0 48.17188614158337
45 44 45.0 130.12371840510173
46 45 46.0 46.28999055615544
47 46 47.0 157.16755830093965
48 47 48.0 75.29181079794583
49 48 49.0 96.26971959177412
50 49 50.0 171.59733247056846

9
dataset/metrik-beispiel.csv
Unescape View File

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