GNU R: Anwendungsbeispiele

Aus Wikibooks
Wechseln zu: Navigation, Suche

EDV GNU R

In diesem Anhang finden sich Anwendungsbeispiele und -datensätze, die zum Testen der beschriebenen R-Funktionen dienen

Datenbeispiele[Bearbeiten]

Beispiel 1[Bearbeiten]

Geschlecht Alter Gewicht Groesse
m          28    80      170
w          18    55      174
w          25    74      183
m          29    101      190
m          21    84      185
w          19    74      178
w          27    65      169
w          26    56      163
m          31    88      189
m          22    78      184

R-Befehl zum Erzeugen dieser Tabelle:

w <- factor(c("m", "w", "w", "m", "m", "w", "w", "w", "m", "m"))
x <- c(28, 18, 25, 29, 21, 19, 27, 26, 31, 22)
y <- c(80, 55, 74, 101, 84, 74, 65, 56, 88, 78)
z <- c(170, 174, 183, 190, 185, 178, 169, 163, 189, 184)
bsp1 <- data.frame(w, x, y, z)
colnames(bsp1) <- c("Geschlecht", "Alter", "Gewicht", "Groesse")
rm(w, x, y, z)
bsp1

Beispiel 2[Bearbeiten]

Geschlecht Note
m          2
w          1
m          5
m          3
w          4
m          3
w          2
w          2
w          1
m          3
m          1
w          4
m          2
w          1
m          4
m          3
w          5
m          2
w          1
w          2

R-Befehl zum Erzeugen dieser Tabelle:

x <- factor(c("m", "w", "m", "m", "w", "m", "w", "w", "w", "m", "m", "w", "m", "w", "m", "m", "w", "m", "w", "w"))
y <- c(2,1,5,3,4,3,2,2,1,3,1,4,2,1,4,3,5,2,1,2) 
bsp2 <- data.frame(x,y)
colnames(bsp2) <- c("Geschlecht", "Note")
rm(x,y)
bsp2

Beispiel 3[Bearbeiten]

      Erfolg Abschlussnote
  1        0             5
  2        1             3
  3        1             2
  4        0             4
  5        1             1
  6        0             6
  7        1             3
  8        1             2
  9        0             4
 10        1             3
 11        0             6
 12        0             5
 13        0             4
 14        1             3

R-Befehl zum Erzeugen dieser Tabelle:

a <- factor(c(0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 1))
b <- c(5, 3, 2, 4, 1, 6, 3, 2, 4, 3, 6, 5, 4, 3)
bsp3 <- data.frame(a,b)
colnames(bsp3) <- c("Erfolg", "Abschlussnote")
rm(a,b)
bsp3

Beispiel 4[Bearbeiten]

    Name   Geschlecht Lieblingsfarbe Einkommen
1   Hans    maennlich          gruen      1233
2   Caro     weiblich           blau       800
3   Lars intersexuell           gelb      2400
4   Ines     weiblich        schwarz      4000
5 Samira     weiblich           gelb       899
6  Peter    maennlich          gruen      1100
7  Sarah     weiblich           blau      1900

R-Befehl zum Erzeugen dieser Tabelle:

w <- c("Hans","Caro","Lars","Ines","Samira","Peter","Sarah")
x <- factor(c("maennlich","weiblich","intersexuell","weiblich","weiblich","maennlich","weiblich"))
y <- factor(c("gruen","blau","gelb","schwarz","gelb","gruen","blau"))
z <- c(1233,800,2400,4000,899,1100,1900)
bsp4 <- data.frame(w,x,y,z)
colnames(bsp4) <- c("Name", "Geschlecht", "Lieblingsfarbe", "Einkommen")
rm(w,x,y,z)
bsp4


Beispiel 5[Bearbeiten]

     Lebenstag Gewicht
1          1    3180
2          3    2960
3          6    3220
4         11    3270
5         12    3350
6         15    3410
7         19    3700
8         23    3830
9         28    4090
10        33    4310
11        35    4360
12        39    4520
13        47    4650
14        60    5310
15        66    5490
16        73    5540


R-Befehl zum Erzeugen dieser Tabelle:

x <- c(1, 3, 6, 11, 12, 15, 19, 23, 28, 33, 35, 39, 47, 60, 66, 73)
y <- c(3180, 2960, 3220, 3270, 3350, 3410, 3700, 3830, 4090, 4310, 4360, 4520, 4650, 5310, 5490, 5540)
bsp5 <- data.frame(x,y)
colnames(bsp5) <- c("Lebenstag", "Gewicht") 
rm(x,y)


Beispiel 6[Bearbeiten]

   Person       Date Age Sex DimBody DimEmotion DimSelf DimFamily DimFriends DimSchool TotalScore
1  190053 2008-08-20  15   f   75.00      85.00   65.00     85.00      70.00     90.00      78.33
2  190050 2008-01-24  16   m   80.00      80.00   75.00     65.00      70.00     60.00      71.67
3  190052 2008-02-05  11   m   70.00      65.00   35.00     80.00      45.00     95.00      65.00
4  190002 2006-12-07  11   f   85.00      90.00   85.00     70.00      80.00     55.00      77.50
5  190002 2008-01-31  13   f   75.00      90.00   75.00     55.00      85.00     70.00      75.00
6  190005 2007-02-22  12   m   65.00      90.00   70.00     95.00      75.00     65.00      76.67
7  190035 2007-05-22  14   f   60.00      85.00   65.00     75.00      80.00     55.00      70.00
8  190021 2006-08-30  16   f   55.00      50.00   50.00     30.00      55.00     55.00      49.17
9  190014 2006-12-07  12   m   75.00      90.00   40.00     85.00      75.00     60.00      70.83
10 190029 2006-11-21  13   f   55.00      70.00   60.00     65.00      85.00     55.00      65.00
11 190025 2006-12-07  12   f  100.00      95.00   95.00    100.00      90.00     85.00      94.17
12 190025 2007-02-20  13   f   85.00      95.00   85.00     85.00      95.00     75.00      86.67
13 190036 2007-06-05  12   m   55.00      75.00   80.00     85.00      90.00     75.00      76.67
14 190031 2007-02-13  13   f   60.00      80.00   60.00     80.00      90.00     55.00      70.83
15 190034 2007-05-19  16   f   50.00      55.00   45.00     80.00      70.00     30.00      55.00
16 190044 2007-10-23  13   m   75.00      65.00   60.00     85.00      60.00     75.00      70.00
17 190041 2007-08-16  16   f   90.00      90.00   90.00    100.00      70.00     60.00      83.33
18 190046 2007-11-15  14   f   70.00      75.00   90.00     70.00      80.00     75.00      76.67
19 190034 2007-07-19  16   f   50.00      60.00   45.00     90.00      75.00     55.00      62.50
20 191028 2006-10-26   7   f   66.67     100.00  100.00     66.67      50.00     83.33      77.78
21 191035 2007-05-22   6   f   66.67      83.33   66.67    100.00     100.00    100.00      86.11
22 191037 2007-05-31   6   m   66.67      83.33  100.00     83.33      66.67     83.33      80.56
23 191036 2007-06-19   6   f  100.00      83.33  100.00     83.33      83.33     66.67      86.11
24 192052 2008-02-05   8   f   80.00      60.00   60.00     80.00      75.00     65.00      70.00
25 190028 2006-10-26   9   f   65.00      65.00   60.00     80.00      75.00     75.00      70.00
26 190028 2008-02-15  11   f   85.00      90.00   70.00     95.00      90.00     90.00      86.67
27 191028 2008-02-16   9   f   80.00      95.00  100.00     95.00      80.00     85.00      89.17
28 190039 2007-05-29   9   f   70.00      90.00   80.00     95.00      90.00     95.00      86.67
29 190037 2007-05-31   8   m   90.00      75.00   60.00    100.00      90.00     80.00      82.50
30 191030 2007-02-22   9   f   80.00      75.00   60.00     85.00      85.00     60.00      74.17
31 192030 2007-02-22   8   m   85.00      95.00   60.00     85.00      60.00     80.00      77.50
32 190030 2007-02-22  11   f   70.00      90.00   60.00     65.00      80.00     55.00      70.00
33 190022 2006-05-07  10   m   95.00      95.00   80.00     85.00      50.00     65.00      78.33
34 190048 2008-01-08  11   f   65.00      75.00   60.00     85.00      70.00     60.00      69.17
35 190017 2007-12-18   8   f   40.00      80.00   70.00     60.00      55.00     75.00      63.33
36 190015 2006-11-28  12   f   60.00      60.00   60.00     75.00      90.00     80.00      70.83
37 191002 2008-01-31   9   f   80.00     100.00   90.00     70.00      95.00     65.00      83.33
38 271050 2008-01-31  13   m   85.00      65.00   70.00     70.00      70.00     70.00      71.67
39 270050 2008-01-31  16   m   55.00      60.00   60.00     55.00      70.00     50.00      58.33
40 270052 2008-02-05  11   m   40.00      45.00   55.00     65.00      40.00     65.00      51.67
41 271052 2008-02-05  10   m   85.00      45.00   40.00     70.00      50.00     55.00      57.50
42 272052 2008-02-05   8   f   60.00      55.00   70.00     70.00      80.00     75.00      68.33
43 271002 2007-02-22   8   f   80.00      65.00   65.00     75.00      40.00     60.00      64.17
44 271002 2007-01-26   8   f   85.00      80.00   80.00     75.00      80.00     90.00      81.67
45 270002 2007-01-26  12   f   75.00      85.00   90.00     70.00      95.00     75.00      81.67
46 271002 2008-01-31   9   f   60.00      60.00   65.00     60.00      70.00     75.00      65.00
47 270002 2008-01-31  13   f   80.00      70.00   90.00     70.00      85.00     80.00      79.17
48 270005 2007-01-23  12   m   65.00      45.00   45.00     45.00      50.00     60.00      51.67
49 270005 2007-01-23  12   m   65.00      55.00   45.00     35.00      55.00     55.00      51.67
50 270010 2007-05-22   9   f   70.00      65.00   75.00     90.00      50.00     95.00      74.17
51 270014 2007-04-18  13   m   75.00      65.00   50.00     65.00      30.00     65.00      58.33
52 270022 2006-12-07  10   m   85.00      90.00   75.00    100.00      55.00     70.00      79.17
53 270025 2006-11-30  12   f  100.00      80.00   80.00     85.00      95.00     95.00      89.17
54 270025 2007-02-20  13   f   90.00      95.00   80.00     80.00      95.00     95.00      89.17
55 270028 2006-10-26   9   f   55.00      65.00   60.00     45.00      50.00     35.00      51.67
56 270028 2008-02-16  11   f   55.00      45.00   50.00     50.00      50.00     55.00      50.83
57 270029 2006-11-21  13   f   70.00      50.00   70.00     50.00      85.00     80.00      67.50
58 271030 2006-12-14   9   f   35.00      65.00   60.00     55.00      75.00     45.00      55.83
59 270030 2006-12-14  11   f   60.00      55.00   35.00     60.00      60.00     55.00      54.17
60 270035 2007-05-22  14   f   60.00      60.00   55.00     65.00      90.00     55.00      64.17
61 270036 2007-06-05  12   m   80.00      60.00   65.00     80.00      70.00     85.00      73.33
62 270036 2007-06-19  12   m   60.00      55.00   75.00     75.00      65.00     85.00      69.17
63 270037 2007-05-31   8   m   80.00      90.00   75.00     85.00      95.00     85.00      85.00
64 270039 2007-05-29   9   f   45.00      80.00   70.00     90.00      95.00     85.00      77.50
65 270041 2007-08-16  16   f   85.00      95.00   75.00     75.00      90.00     70.00      81.67
66 270044 2007-10-23  13   m   60.00      65.00   55.00     75.00      55.00     50.00      60.00
67 270046 2007-11-15  14   f   60.00      70.00   65.00     80.00      60.00     80.00      69.17
68 270048 2008-01-08  11   f   60.00      60.00   55.00     80.00      75.00     50.00      63.33
69 270002 2007-02-22  12   f   70.00      75.00   65.00     55.00      75.00     60.00      66.67
70 270004 2006-11-25  14   f   90.00     100.00  100.00     95.00      85.00    100.00      95.00
71 270017 2007-12-13   8   f   60.00      80.00   65.00     85.00      50.00     80.00      70.00
72 271028 2008-02-16   9   f   95.00      75.00   75.00     70.00      80.00     75.00      78.33
73 270015 2006-11-28  12   f   85.00      90.00   85.00     75.00      85.00     95.00      85.83
74 271036 2007-06-19   6   f   85.00      85.00   80.00     60.00      95.00     80.00      80.83
75 270045 2007-10-23   7   m   75.00      80.00   55.00     70.00      60.00     75.00      69.17
76 270040 2007-08-07   5   f   90.00      70.00   75.00     75.00      65.00     70.00      74.17
77 271037 2007-05-31   6   m   80.00      90.00   80.00     95.00      80.00     55.00      80.00
78 271035 2007-05-22   7   f   80.00     100.00   85.00     80.00      75.00     75.00      82.50
79 271010 2007-05-22   6   m  100.00      65.00   70.00     90.00      75.00     80.00      80.00
80 270033 2007-03-22   4   m   80.00      80.00   90.00     75.00      75.00     65.00      77.50
81 271036 2007-06-05   7   f   60.00      80.00   70.00     85.00      85.00     65.00      74.17
82 271028 2006-10-26   7   f   95.00      85.00   80.00     90.00      70.00     65.00      80.83


R-Befehl zur Erzeugung des Datensatzes:

bsp6 <- structure(list(Person = c("190053", "190050", "190052", "190002", "190002", "190005", 
    "190035", "190021", "190014", "190029", "190025", "190025", "190036", "190031", "190034", 
    "190044", "190041", "190046", "190034", "191028", "191035", "191037", "191036", "192052", 
    "190028", "190028", "191028", "190039", "190037", "191030", "192030", "190030", "190022", 
    "190048", "190017", "190015", "191002", "271050", "270050", "270052", "271052", "272052", 
    "271002", "271002", "270002", "271002", "270002", "270005", "270005", "270010", "270014", 
    "270022", "270025", "270025", "270028", "270028", "270029", "271030", "270030", "270035", 
    "270036", "270036", "270037", "270039", "270041", "270044", "270046", "270048", "270002", 
    "270004", "270017", "271028", "270015", "271036", "270045", "270040", "271037", "271035", 
    "271010", "270033", "271036", "271028"), Date = structure(c(1219183200,  1201129200, 
    1202166000, 1165446000, 1201734000, 1172098800, 1179784800,  1156888800, 1165446000, 
    1164063600, 1165446000, 1171926000, 1180994400,  1171321200, 1179525600, 1193090400, 
    1187215200, 1195081200, 1184796000,  1161813600, 1179784800, 1180562400, 1182204000, 
    1202166000, 1161813600,  1203030000, 1203116400, 1180389600, 1180562400, 1172098800, 
    1172098800,  1172098800, 1146952800, 1199746800, 1197932400, 1164668400, 1201734000,  
    1201734000, 1201734000, 1202166000, 1202166000, 1202166000, 1172098800,  1169766000, 
    1169766000, 1201734000, 1201734000, 1169506800, 1169506800,  1179784800, 1176847200, 
    1165446000, 1164841200, 1171926000, 1161813600,  1203116400, 1164063600, 1166050800, 
    1166050800, 1179784800, 1180994400,  1182204000, 1180562400, 1180389600, 1187215200, 
    1193090400, 1195081200,  1199746800, 1172098800, 1164409200, 1197500400, 1203116400, 
    1164668400,  1182204000, 1193090400, 1186437600, 1180562400, 1179784800, 1179784800,  
    1174518000, 1180994400, 1161813600), class = c("POSIXt", "POSIXct" ), tzone = ""), 
    Age = c(15, 16, 11, 11, 13, 12, 14, 16, 12,  13, 12, 13, 12, 13, 16, 13, 16, 14, 16, 7, 6, 
    6, 6, 8, 9, 11,  9, 9, 8, 9, 8, 11, 10, 11, 8, 12, 9, 13, 16, 11, 10, 8, 8, 8,  12, 9, 13, 
    12, 12, 9, 13, 10, 12, 13, 9, 11, 13, 9, 11, 14, 12,  12, 8, 9, 16, 13, 14, 11, 12, 14, 8, 
    9, 12, 6, 7, 5, 6, 7, 6,  4, 7, 7), Sex = structure(c(1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 
    1L, 1L, 1L, 2L,  1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,  1L, 2L, 
    1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L,  1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L,  2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L,  
    1L, 2L, 2L, 1L, 1L), .Label = c("f", "m"), class = "factor"), DimBody = c(75, 80, 70, 85, 
    75,  65, 60, 55, 75, 55, 100, 85, 55, 60, 50, 75, 90, 70, 50, 66.67,  66.67, 66.67, 100, 80, 
    65, 85, 80, 70, 90, 80, 85, 70, 95, 65,  40, 60, 80, 85, 55, 40, 85, 60, 80, 85, 75, 60, 80, 
    65, 65, 70,  75, 85, 100, 90, 55, 55, 70, 35, 60, 60, 80, 60, 80, 45, 85,  60, 60, 60, 70, 
    90, 60, 95, 85, 85, 75, 90, 80, 80, 100, 80,  60, 95), DimEmotion = c(85, 80, 65, 90, 90, 
    90, 85, 50,  90, 70, 95, 95, 75, 80, 55, 65, 90, 75, 60, 100, 83.33, 83.33,  83.33, 60, 65, 
    90, 95, 90, 75, 75, 95, 90, 95, 75, 80, 60, 100,  65, 60, 45, 45, 55, 65, 80, 85, 60, 70, 
    45, 55, 65, 65, 90, 80,  95, 65, 45, 50, 65, 55, 60, 60, 55, 90, 80, 95, 65, 70, 60, 75,  
    100, 80, 75, 90, 85, 80, 70, 90, 100, 65, 80, 80, 85), DimSelf = c(65,  75, 35, 85, 75, 70, 
    65, 50, 40, 60, 95, 85, 80, 60, 45, 60, 90,  90, 45, 100, 66.67, 100, 100, 60, 60, 70, 100, 
    80, 60, 60, 60,  60, 80, 60, 70, 60, 90, 70, 60, 55, 40, 70, 65, 80, 90, 65, 90,  45, 45, 
    75, 50, 75, 80, 80, 60, 50, 70, 60, 35, 55, 65, 75, 75,  70, 75, 55, 65, 55, 65, 100, 65, 
    75, 85, 80, 55, 75, 80, 85,  70, 90, 70, 80), DimFamilie = c(85, 65, 80, 70, 55, 95,  75, 
    30, 85, 65, 100, 85, 85, 80, 80, 85, 100, 70, 90, 66.67,  100, 83.33, 83.33, 80, 80, 95, 95, 
    95, 100, 85, 85, 65, 85, 85,  60, 75, 70, 70, 55, 65, 70, 70, 75, 75, 70, 60, 70, 45, 35, 
    90,  65, 100, 85, 80, 45, 50, 50, 55, 60, 65, 80, 75, 85, 90, 75,  75, 80, 80, 55, 95, 85, 
    70, 75, 60, 70, 75, 95, 80, 90, 75, 85,  90), DimFriends = c(70, 70, 45, 80, 85, 75, 80, 55, 
    75,  85, 90, 95, 90, 90, 70, 60, 70, 80, 75, 50, 100, 66.67, 83.33,  75, 75, 90, 80, 90, 90, 
    85, 60, 80, 50, 70, 55, 90, 95, 70, 70,  40, 50, 80, 40, 80, 95, 70, 85, 50, 55, 50, 30, 55, 
    95, 95, 50,  50, 85, 75, 60, 90, 70, 65, 95, 95, 90, 55, 60, 75, 75, 85, 50,  80, 85, 95, 
    60, 65, 80, 75, 75, 75, 85, 70), DimSchool = c(90,  60, 95, 55, 70, 65, 55, 55, 60, 55, 85, 
    75, 75, 55, 30, 75, 60,  75, 55, 83.33, 100, 83.33, 66.67, 65, 75, 90, 85, 95, 80, 60,  80, 
    55, 65, 60, 75, 80, 65, 70, 50, 65, 55, 75, 60, 90, 75, 75,  80, 60, 55, 95, 65, 70, 95, 95, 
    35, 55, 80, 45, 55, 55, 85, 85,  85, 85, 70, 50, 80, 50, 60, 100, 80, 75, 95, 80, 75, 70, 
    55,  75, 80, 65, 65, 65), TotalScore = c(78.33, 71.67, 65, 77.5,  75, 76.67, 70, 49.17, 
    70.83, 65, 94.17, 86.67, 76.67, 70.83,  55, 70, 83.33, 76.67, 62.5, 77.78, 86.11, 80.56, 
    86.11, 70, 70,  86.67, 89.17, 86.67, 82.5, 74.17, 77.5, 70, 78.33, 69.17, 63.33,  70.83, 
    83.33, 71.67, 58.33, 51.67, 57.5, 68.33, 64.17, 81.67,  81.67, 65, 79.17, 51.67, 51.67, 
    74.17, 58.33, 79.17, 89.17, 89.17,  51.67, 50.83, 67.5, 55.83, 54.17, 64.17, 73.33, 69.17, 
    85, 77.5,  81.67, 60, 69.17, 63.33, 66.67, 95, 70, 78.33, 85.83, 80.83,  69.17, 74.17, 80, 
    82.5, 80, 77.5, 74.17, 80.83)), .Names = c("Person",  "Date", "Age", "Sex", "DimBody", 
    "DimEmotion",  "DimSelf", "DimFamily", "DimFriends", "DimSchool",  "TotalScore"), row.names 
    = c(NA, -82L), class = "data.frame")


Beispiel 7[Bearbeiten]

Die Ergebnisse eines Hochsprungwettbewerbs lauten wie folgt.

  • 0 bedeutet, dass die entsprechende Höhe nicht übersprungen wurde
  • 1 bedeutet, dass die entsprechende Höhe übersprungen wurde
          1.00 1.10 1.20 1.30 1.50 1.60 1.70 1.90 2.00 2.20
Hans         1    1    1    1    1    1    1    1    1    1
Karola       1    1    1    1    1    1    1    1    1    0
Matthias     1    1    1    1    1    1    1    1    0    0
Stefan       1    1    1    1    1    1    1    0    0    0
Sabine       1    1    1    1    1    1    1    0    0    0
Irma         1    1    1    1    1    1    0    0    0    0
Heike        1    1    1    1    1    1    0    0    0    0
Ralf         1    1    1    1    1    1    0    0    0    0
Rainer       1    1    1    1    1    0    0    0    0    0
Simon        1    1    1    1    1    0    0    0    0    0
Andreas      1    1    1    1    1    0    0    0    0    0
Elke         1    1    1    1    0    0    0    0    0    0
Gabi         1    1    1    1    0    0    0    0    0    0
David        1    1    1    1    0    0    0    0    0    0
Jonas        1    1    1    1    0    0    0    0    0    0
Nicklas      1    1    1    1    0    0    0    0    0    0
Sandra       1    1    1    0    0    0    0    0    0    0
Mario        1    1    1    0    0    0    0    0    0    0
Guido        1    1    1    0    0    0    0    0    0    0
Lisa         1    1    1    0    0    0    0    0    0    0
Peter        1    1    1    0    0    0    0    0    0    0
Justus       1    1    1    0    0    0    0    0    0    0
Josef        1    1    1    0    0    0    0    0    0    0
Brigitte     1    1    1    0    0    0    0    0    0    0
Kevin        1    1    0    0    0    0    0    0    0    0
Marcel       1    1    0    0    0    0    0    0    0    0
Nadine       1    1    0    0    0    0    0    0    0    0
Alex         1    1    0    0    0    0    0    0    0    0
Katharina    1    1    0    0    0    0    0    0    0    0
Daniel       1    1    0    0    0    0    0    0    0    0
Jens         1    1    0    0    0    0    0    0    0    0
Dieter       1    0    0    0    0    0    0    0    0    0
Sebastian    1    0    0    0    0    0    0    0    0    0
Anne         1    0    0    0    0    0    0    0    0    0

Diese Tabelle wird wie folgt erzeugt:

hochsprung <- structure(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,  1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,  1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,  1, 1, 1, 1, 
1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,  1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 
0,  0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0,  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 
1, 1, 1, 1, 1, 1,  1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,  0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 
1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0,  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1,  1, 1, 1, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0,  
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,  0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0,  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,  0, 0, 0, 0, 0, 0, 0, 0), .Dim = c(34L, 10L), .Dimnames = list(     c("Hans", "Karola",
"Matthias", "Stefan", "Sabine", "Irma",      "Heike", "Ralf", "Rainer", "Simon", "Andreas", "Elke", "Gabi", "David",
"Jonas", "Nicklas", "Sandra", "Mario", "Guido",      "Lisa", "Peter", "Justus", "Josef", "Brigitte", "Kevin", "Marcel",
"Nadine", "Alex", "Katharina", "Daniel", "Jens",      "Dieter", "Sebastian", "Anne"), c("1.00", "1.10", "1.20", "1.30",
"1.50", "1.60", "1.70", "1.90", "2.00", "2.20")))


Beispiel 8[Bearbeiten]

Die Ergebnisse eines Minigolfwettbewerbs lauten wie folgt.

  • 0 bedeutet, dass das entsprechende Loch nicht mit einem Schlag getroffen wurde
  • 1 bedeutet, dass das entsprechende Loch mit einem Schlag getroffen wurde
          Loch1 Loch2 Loch3 Loch4 Loch5 Loch6 Loch7 Loch8 Loch9 Loch10
Hans          0     1     1     0     1     1     0     1     1      1
Karola        1     0     1     1     1     0     1     1     1      0
Matthias      1     1     1     0     1     1     1     1     0      0
Stefan        0     0     1     1     0     1     1     0     0      1
Sabine        1     1     1     1     1     1     1     0     0      0
Irma          1     1     0     1     1     1     0     1     0      0
Heike         1     0     1     0     1     1     0     0     0      1
Ralf          1     1     1     0     1     1     0     0     0      0
Rainer        1     1     0     1     1     0     0     1     0      1
Simon         1     0     1     1     1     0     1     0     1      0
Andreas       1     1     1     0     1     0     0     0     0      0
Elke          1     1     0     1     0     1     0     0     1      0
Gabi          0     1     1     1     0     0     1     0     0      1
David         1     1     0     1     0     0     0     0     0      0
Jonas         1     1     0     1     1     0     1     1     0      0
Nicklas       1     1     1     1     0     1     0     0     1      0
Sandra        0     1     0     0     1     0     1     1     0      1
Mario         1     0     1     0     1     1     0     0     0      0
Guido         1     1     1     0     0     0     0     0     1      0
Lisa          0     1     1     0     0     0     1     0     0      0
Peter         1     0     1     0     1     0     0     0     1      0
Justus        1     1     1     0     0     0     1     0     0      1
Josef         1     0     1     0     0     0     0     0     0      0
Brigitte      1     1     1     0     0     0     1     0     1      0
Kevin         0     1     0     0     1     0     0     1     0      1
Marcel        1     1     0     0     0     0     0     0     0      0
Nadine        1     0     0     1     0     1     0     0     1      0
Alex          1     0     0     0     0     0     0     0     0      0
Katharina     0     1     0     0     0     1     1     0     1      1
Daniel        1     1     0     0     0     0     0     0     0      0
Jens          1     1     0     1     0     0     1     0     1      0
Dieter        1     0     0     0     0     0     1     1     0      0
Sebastian     1     0     1     0     1     0     0     0     1      1
Anne          0     0     0     0     1     0     1     0     0      1

Diese Tabelle wird wie folgt erzeugt:

minigolf <- structure(list(Loch1 = c(0, 1, 1, 0, 1, 1, 1, 1, 1,  1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0,  
1, 1, 1, 0, 1, 1, 1, 1, 0), Loch2 = c(1, 0, 1, 0,  1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1,  0, 1, 0, 1, 1, 
1, 0, 0, 1, 1, 1, 0, 0, 0), Loch3 = c(1,  1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0,  1, 1, 1, 1, 1, 1, 1, 0, 
0, 0, 0, 0, 0, 0, 0, 1,  0), Loch4 = c(0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1,  1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 1, 0,  0, 0, 1, 0, 0, 0), Loch5 = c(1, 1, 1, 0, 1, 1, 1,  1, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0,  0, 1, 
0, 0, 0, 0, 0, 0, 0, 1, 1), Loch6 = c(1, 0,  1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1,  0, 0, 0, 0, 0, 0, 0, 
0, 1, 0, 1, 0, 0, 0, 0, 0 ), Loch7 = c(0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0,  1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 
0, 0, 0,  1, 0, 1, 1, 0, 1), Loch8 = c(1, 1, 1, 0, 0, 1, 0,  0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0,  0, 1, 
0, 0, 0, 0, 0, 0, 1, 0, 0), Loch9 = c(1, 1,  0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0,  1, 0, 1, 0, 0, 1, 0, 0, 
1, 0, 1, 0, 1, 0, 1, 0 ), Loch10 = c(1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0,  1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0,
0,  1, 0, 0, 0, 1, 1)), .Names = c("Loch1", "Loch2", "Loch3",  "Loch4", "Loch5", "Loch6", "Loch7", "Loch8", "Loch9", 
"Loch10" ), class = "data.frame", row.names = c("Hans", "Karola", "Matthias",  "Stefan", "Sabine", "Irma", "Heike",
"Ralf", "Rainer", "Simon",  "Andreas", "Elke", "Gabi", "David", "Jonas", "Nicklas", "Sandra",  "Mario", "Guido",
"Lisa", "Peter", "Justus", "Josef", "Brigitte",  "Kevin", "Marcel", "Nadine", "Alex", "Katharina", "Daniel", "Jens",
"Dieter", "Sebastian", "Anne"))

Beispiel 9[Bearbeiten]

Ein Fragebogen besteht aus 27 Fragen, welche die Antworten "nie / selten / manchmal / oft / immer" zulassen. Die Antworten werden wie folgt codiert:

  • 1 = nie
  • 2 = selten
  • 3 = manchmal
  • 4 = oft
  • 5 = immer

Der Fragebogen wird nun von 122 Personen ausgefüllt. Da dieser Datensatz relativ groß ist, wird auf eine Darstellung der Tabelle verzichtet. Der Code zum Erzeugen des Datensatzes lautet:

bsp9 <- structure(list(Frage1 = c(4, 4, 5, 5, 5, 1, 3, 3, 3, 3, 5, 5,  5, 3, 3, 4, 5, 4, 3, 2, 2, 2, 3, 4, 3, 4, 4, 2, 
5, 5, 5, 5, 5,  5, 1, 3, 4, 3, 3, 4, 3, 3, 3, 3, 5, 3, 3, 3, 2, 5, 4, 5, 2, 4,  3, 2, 5, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 
3, 3, 4, 4, 4, 4, 4, 4,  4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2,  2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 
3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5,  5, 5, 5, 5, 5), Frage2 = c(3, 5, 4, 5, 4, 5, 3, 3, 5, 3, 5, 4,  4, 4, 2, 5, 5, 3, 2, 
2, 2, 2, 3, 2, 3, 5, 4, 4, 3, 3, 5, 3, 5,  2, 3, 3, 5, 4, 3, 4, 1, 4, 4, 4, 5, 2, 2, 3, 2, 3, 5, 5, 3, 5,  3, 3, 5, 4, 
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4,  4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2,  2, 
2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5,  5, 5, 5, 5, 5), Frage3 = c(4, 4, 4, 4, 3, 3, 2, 2, 4, 2, 5, 
3,  1, 2, 3, 4, 4, 3, 3, 3, 4, 5, 4, 5, 4, 4, 3, 3, 5, 5, 2, 4, 4,  3, 2, 3, 4, 3, 3, 3, 1, 3, 3, 2, 4, 1, 1, 3, 3, 3, 5, 
5, 4, 2,  5, 4, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4,  4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
1, 2, 2, 2, 2,  2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5,  5, 5, 5, 5, 5), Frage4 = c(4, 3, 1, 3, 3, 
4, 4, 3, 3, 3, 5, 5,  1, 3, 2, 2, 4, 4, 2, 2, 4, 5, 4, 5, 3, 4, 5, 5, 5, 3, 5, 2, 5,  3, 2, 3, 3, 4, 3, 4, 1, 2, 3, 4, 5, 
2, 3, 2, 3, 2, 4, 5, 4, 1,  4, 2, 4, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4,  4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 
1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2,  2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5,  5, 5, 5, 5, 5), 
Frage5 = c(5, 1, 2, 5, 2, 4, 4, 1, 1, 4, 5, 4,  3, 5, 3, 5, 1, 1, 4, 5, 5, 4, 2, 4, 3, 1, 2, 1, 3, 4, 2, 1, 1,  4, 1, 1, 
2, 4, 2, 3, 3, 4, 4, 4, 5, 2, 2, 2, 3, 3, 4, 2, 3, 3,  4, 3, 5, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4,  
4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2,  2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 
5, 5,  5, 5, 5, 5, 5), Frage6 = c(5, 3, 1, 4, 5, 5, 4, 3, 3, 4, 5, 5,  4, 4, 3, 2, 4, 5, 3, 3, 3, 3, 3, 4, 3, 4, 5, 4, 2,
5, 5, 4, 5,  4, 2, 2, 5, 3, 3, 3, 1, 4, 4, 4, 5, 3, 2, 3, 1, 2, 5, 4, 3, 5,  4, 3, 4, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 
4, 4, 4, 4, 4, 4,  4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2,  2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 
3, 3, 3, 5, 5, 5, 5, 5,  5, 5, 5, 5, 5), Frage7 = c(3, 3, 2, 4, 4, 3, 4, 3, 5, 3, 4, 5,  3, 4, 2, 3, 4, 3, 4, 3, 2, 2, 2, 
1, 4, 4, 4, 4, 3, 3, 5, 5, 4,  4, 4, 2, 5, 3, 3, 4, 2, 5, 3, 3, 5, 4, 3, 5, 3, 3, 4, 5, 4, 3,  5, 4, 4, 5, 3, 3, 3, 3, 3, 
3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4,  4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2,  2, 2, 2, 2, 2, 2, 3, 
3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5,  5, 5, 5, 5, 5), Frage8 = c(4, 5, 5, 5, 4, 5, 4, 2, 5, 4, 5, 5,  4, 4, 4, 4, 5, 
3, 3, 1, 3, 4, 4, 3, 3, 5, 5, 5, 5, 4, 5, 5, 5,  3, 3, 4, 5, 3, 3, 4, 2, 5, 3, 4, 5, 3, 3, 4, 3, 4, 5, 4, 4, 4,  5, 4, 5, 
4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4,  4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2,  2, 
2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5,  5, 5, 5, 5, 5), Frage9 = c(5, 5, 5, 5, 5, 5, 5, 2, 5, 3, 5, 4,  
4, 4, 2, 4, 5, 4, 2, 2, 3, 4, 4, 4, 3, 5, 5, 5, 5, 3, 4, 4, 5,  4, 5, 4, 5, 4, 4, 4, 2, 5, 4, 4, 5, 2, 3, 2, 4, 2, 4, 4, 4, 
5,  2, 3, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4,  4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 
2, 2,  2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5,  5, 5, 5, 5, 5), Frage10 = c(2, 1, 5, 4, 3, 4, 2, 4, 
5, 1, 3,  2, 1, 1, 1, 5, 4, 2, 2, 5, 3, 5, 2, 2, 3, 1, 1, 2, 5, 5, 2, 3,  3, 4, 2, 5, 4, 5, 5, 3, 2, 5, 4, 3, 4, 2, 4, 1, 4, 
3, 5, 3, 3,  4, 5, 3, 5, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4,  4, 4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
1, 1, 2, 2, 2,  2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5,  5, 5, 5, 5, 5, 5), Frage11 = c(3, 1, 5, 4, 
4, 3, 3, 2, 1, 3,  4, 4, 1, 4, 4, 4, 4, 1, 3, 5, 5, 5, 3, 5, 5, 2, 5, 2, 1, 2, 5,  3, 5, 5, 1, 1, 2, 5, 4, 4, 3, 3, 4, 4, 5, 
3, 3, 3, 3, 3, 5, 5,  5, 5, 3, 3, 5, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4,  4, 4, 4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 
1, 1, 1, 1, 1, 1, 2, 2,  2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5,  5, 5, 5, 5, 5, 5, 5), Frage12 = c(1, 
5, 3, 2, 5, 3, 2, 1, 1,  2, 1, 4, 3, 1, 3, 1, 1, 3, 3, 1, 3, 1, 2, 2, 4, 4, 5, 5, 3, 1,  3, 1, 1, 4, 2, 1, 5, 4, 3, 3, 2, 4, 
3, 2, 5, 5, 1, 1, 3, 3, 4,  5, 4, 4, 4, 2, 5, 1, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4,  4, 4, 4, 4, 4, 4, 4, 4, 5, 1, 1, 
1, 1, 1, 1, 1, 1, 1, 1, 1, 2,  2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5,  5, 5, 5, 5, 5, 5, 5, 5), 
Frage13 = c(2, 4, 2, 3, 3, 3, 3, 3,  2, 2, 4, 4, 1, 2, 1, 2, 4, 4, 2, 3, 2, 3, 3, 1, 2, 3, 5, 4, 4,  2, 1, 3, 5, 3, 4, 1, 5, 
3, 3, 3, 1, 2, 3, 1, 4, 5, 3, 1, 4, 4,  2, 4, 2, 2, 5, 2, 3, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4,  4, 4, 4, 4, 4, 4, 4, 
4, 4, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5,  5, 5, 5, 5, 5, 5, 
5, 5, 5), Frage14 = c(4, 3, 2, 4, 4, 5, 4,  3, 2, 4, 5, 4, 5, 3, 1, 4, 5, 5, 1, 3, 2, 3, 3, 5, 3, 3, 5, 4,  4, 3, 5, 3, 5, 3, 
4, 3, 4, 4, 4, 2, 1, 4, 3, 3, 4, 2, 2, 5, 4,  4, 1, 2, 2, 3, 4, 3, 3, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4,  4, 4, 4, 4, 4, 
4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,  1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,  5, 5, 5, 5, 
5, 5, 5, 5, 5, 5), Frage15 = c(4, 3, 2, 5, 4, 5,  3, 2, 1, 4, 5, 4, 5, 3, 3, 3, 5, 5, 2, 3, 4, 4, 1, 2, 3, 4, 5,  5, 3, 5, 1,
2, 3, 3, 1, 4, 5, 3, 5, 2, 2, 5, 4, 4, 4, 5, 5, 4,  3, 3, 1, 5, 1, 1, 5, 2, 3, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,  4, 4, 4, 
4, 4, 4, 4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1,  1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3,  3, 5, 
5, 5, 5, 5, 5, 5, 5, 5, 5), Frage16 = c(3, 5, 1, 5, 4,  1, 3, 2, 3, 2, 5, 5, 5, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4,  5, 3, 
1, 2, 5, 4, 3, 3, 5, 4, 4, 4, 5, 4, 4, 3, 4, 3, 4, 5, 5,  5, 4, 4, 5, 5, 1, 5, 5, 4, 5, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,  3, 
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1, 1, 1,  1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3,  
3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5), Frage17 = c(4, 4, 4, 2,  3, 2, 2, 4, 5, 3, 1, 4, 5, 3, 2, 4, 4, 4, 1, 2, 4, 5, 3, 4, 1, 
 4, 5, 3, 1, 3, 3, 4, 1, 5, 2, 4, 3, 5, 5, 4, 1, 5, 3, 4, 4, 5,  4, 5, 4, 4, 5, 5, 3, 4, 5, 4, 5, 5, 3, 3, 3, 3, 3, 3, 3, 3, 
3,  3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1, 1,  1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 
3, 3,  3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5), Frage18 = c(4, 2, 1,  5, 3, 5, 2, 4, 3, 4, 2, 3, 1, 3, 2, 2, 2, 1, 1, 4, 1, 5, 
2, 5,  2, 1, 2, 5, 3, 2, 5, 4, 4, 1, 3, 1, 2, 5, 4, 5, 3, 5, 3, 3, 5,  3, 5, 2, 4, 5, 1, 2, 1, 3, 5, 2, 3, 4, 3, 3, 3, 3, 3, 
3, 3, 3,  3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1, 1,  1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 
3, 3, 3, 3,  3, 3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5), Frage19 = c(3, 1,  4, 5, 4, 5, 4, 2, 5, 5, 5, 3, 3, 5, 4, 4, 1, 2, 2, 
2, 1, 1, 1,  1, 3, 3, 4, 2, 4, 1, 3, 5, 5, 5, 2, 4, 4, 4, 3, 5, 2, 4, 3, 4,  5, 3, 5, 2, 3, 4, 5, 5, 3, 1, 5, 3, 2, 5, 3, 3, 
3, 3, 3, 3, 3,  3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 1, 1, 1, 1, 1,  1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
2, 3, 3, 3, 3, 3,  3, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5), Frage20 = c(4,  3, 4, 3, 3, 5, 4, 1, 4, 3, 5, 4, 4, 2, 4, 2, 
5, 4, 4, 1, 3, 3,  2, 5, 4, 5, 5, 5, 5, 4, 5, 4, 5, 4, 2, 4, 5, 2, 4, 3, 2, 4, 3,  3, 5, 5, 2, 3, 1, 2, 2, 4, 5, 5, 5, 3, 3, 
5, 3, 3, 3, 3, 3, 3,  3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 1, 1, 1, 1,  1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 
2, 2, 2, 2, 3, 3, 3, 3,  3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5), Frage21 = c(4,  2, 3, 5, 3, 5, 4, 3, 3, 3, 5, 5, 5, 
5, 4, 5, 5, 3, 5, 3, 3, 2,  3, 4, 3, 5, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4, 4, 2, 4, 3, 2, 5, 3,  4, 5, 3, 2, 4, 4, 4, 3, 5, 5, 5, 
4, 4, 3, 5, 3, 3, 3, 3, 3, 3,  3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 1, 1, 1, 1,  1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 
2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3,  3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5), Frage22 = c(5,  3, 5, 4, 3, 5, 4, 1, 5, 3, 
5, 4, 4, 4, 3, 5, 5, 3, 4, 4, 3, 3,  2, 3, 5, 5, 5, 5, 5, 4, 2, 2, 5, 5, 3, 4, 4, 4, 4, 3, 5, 3, 3,  4, 5, 5, 3, 3, 5, 5, 5, 
5, 3, 5, 4, 4, 4, 5, 3, 3, 3, 3, 3, 3,  3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 1, 1, 1, 1,  1, 1, 1, 1, 1, 1, 1, 
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3,  3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5), Frage23 = c(4,  5, 4, 2, 2, 4, 3, 
1, 5, 4, 5, 4, 4, 5, 5, 5, 5, 4, 5, 3, 2, 3,  2, 4, 4, 4, 4, 4, 5, 4, 5, 3, 3, 4, 3, 3, 1, 4, 4, 3, 3, 4, 4,  5, 5, 4, 4, 2, 
4, 5, 5, 5, 3, 5, 5, 5, 4, 4, 3, 3, 3, 3, 3, 3,  3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 1, 1, 1, 1,  1, 1, 1, 1, 
1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3,  3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5), Frage24 = c(5,  4, 1, 4, 
4, 5, 4, 3, 5, 4, 4, 5, 4, 4, 3, 1, 4, 4, 3, 2, 3, 2,  2, 5, 4, 5, 3, 4, 3, 5, 5, 4, 4, 3, 1, 5, 4, 3, 2, 3, 3, 4, 3,  3, 3, 
4, 1, 4, 3, 4, 5, 3, 2, 5, 2, 5, 4, 4, 3, 3, 3, 3, 3, 3,  3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 1, 1, 1, 1,  1, 
1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3,  3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5), Frage25 = c(3, 
 3, 1, 3, 4, 5, 4, 3, 4, 3, 4, 4, 4, 5, 3, 3, 4, 5, 4, 1, 3, 2,  3, 1, 4, 4, 5, 5, 5, 4, 1, 4, 2, 4, 5, 4, 5, 4, 2, 4, 3, 4, 
3,  4, 4, 5, 1, 5, 2, 3, 5, 5, 3, 5, 3, 5, 4, 4, 3, 3, 3, 3, 3, 3,  3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 1, 1, 
1, 1,  1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3,  3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5), 
Frage26 = c(4,  2, 5, 5, 5, 1, 5, 4, 3, 5, 5, 5, 5, 5, 5, 4, 4, 5, 5, 2, 2, 2,  4, 5, 4, 4, 3, 5, 5, 5, 5, 5, 3, 5, 3, 5, 5, 
3, 3, 3, 2, 3, 3,  4, 4, 5, 2, 5, 3, 4, 5, 4, 3, 3, 4, 4, 4, 5, 3, 3, 3, 3, 3, 3,  3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 
4, 4, 5, 1, 1, 1, 1,  1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3,  3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 
5, 5, 5), Frage27 = c(2,  5, 2, 4, 4, 4, 3, 1, 3, 5, 5, 5, 5, 4, 3, 4, 2, 2, 3, 3, 2, 2,  3, 4, 3, 5, 5, 4, 5, 3, 1, 3, 1, 2, 
2, 4, 5, 4, 4, 3, 5, 4, 3,  4, 5, 5, 3, 5, 3, 4, 5, 4, 3, 5, 4, 4, 5, 5, 3, 3, 3, 3, 3, 3,  3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 
4, 4, 4, 4, 4, 5, 1, 1, 1, 1,  1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3,  3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 
5, 5, 5, 5, 5, 5)), .Names = c("Frage1",  "Frage2", "Frage3", "Frage4", "Frage5", "Frage6", "Frage7", "Frage8",  "Frage9", 
"Frage10", "Frage11", "Frage12", "Frage13", "Frage14",  "Frage15", "Frage16", "Frage17", "Frage18", "Frage19", "Frage20",  
"Frage21", "Frage22", "Frage23", "Frage24", "Frage25", "Frage26",  "Frage27"), row.names = c(NA, 122L), class = "data.frame", 
na.action = structure(123:231, .Names = c("38",  "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49",  "50", "51",
"52", "53", "54", "55", "56", "57", "58", "59", "60",  "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71",  "72", 
"73", "74", "75", "76", "77", "78", "79", "80", "81", "82",  "158", "159", "160", "161", "162", "163", "164", "165", "166",  
"167", "168", "169", "170", "171", "172", "173", "174", "175",  "176", "177", "178", "179", "180", "181", "182", "183", "184", 
 "185", "186", "187", "188", "189", "190", "191", "192", "193",  "194", "195", "196", "197", "198", "199", "200", "201", 
"202",  "203", "204", "205", "206", "207", "208", "209", "210", "211",  "212", "213", "214", "215", "216", "217", "218", "219",
"220",  "221"), class = "omit"))


Beispiel 10[Bearbeiten]

In einer Untersuchung wurde bei Kinder (Self) und deren Eltern (Proxy) bestimmte Werte über die Kinder abgefragt. Die Kinder schätzten sich also zunächst selber ein, anschließend haben die Eltern ihre Kinder eingeschätzt. Zusätzlich existieren zu jedem Item Normwerte (Norm), die den deutschen Durchschnitt widerspiegeln.

bsp10 <-  structure(list(Case = c("1", "1", "1", "1", "1", "1", "2", "2",  "2", "2", "2", "2", "3", "3", "3", "3", "3", "3", "6", "6", "6",  "6", "6", "6", "8", "8", "8", "8", "8", "8", "87", "87", "87",  "87", "87", "87", "97", "97", "97", "97", "97", "97", "3", "3",  "3", "3", "3", "3", "3", "3", "3", "3", "3", "3", "4", "4", "4",  "4", "4", "4", "5", "5", "5", "5", "5", "5", "6", "6", "6", "6",  "6", "6", "8", "8", "8", "8", "8", "8", "87", "87", "87", "87",  "87", "87", "97", "97", "97", "97", "97", "97", "Norm", "Norm",  "Norm", "Norm", "Norm", "Norm", "Norm", "Norm", "Norm", "Norm",  "Norm", "Norm"), Item = structure(c(2L, 3L, 4L, 5L, 6L, 7L, 2L,  3L, 4L, 5L, 6L, 7L, 2L, 3L, 4L, 5L, 6L, 7L, 2L, 3L, 4L, 5L, 6L,  7L, 2L, 3L, 4L, 5L, 6L, 7L, 2L, 3L, 4L, 5L, 6L, 7L, 2L, 3L, 4L,  5L, 6L, 7L, 2L, 3L, 4L, 5L, 6L, 7L, 2L, 3L, 4L, 5L, 6L, 7L, 2L,  3L, 4L, 5L, 6L, 7L, 2L, 3L, 4L, 5L, 6L, 7L, 2L, 3L, 4L, 5L, 6L,  7L, 2L, 3L, 4L, 5L, 6L, 7L, 2L, 3L, 4L, 5L, 6L, 7L, 2L, 3L, 4L,  5L, 6L, 7L, 2L, 3L, 4L, 5L, 6L, 7L, 2L, 3L, 4L, 5L, 6L, 7L), .Label = c("Item",  "Body", "Emotion", "Family", "Friends", "School", "Index"), class = "factor"),      Score = c(73.201612015845, 59.5103286592648, 51.211152156733,      57.8338409160427, 62.8406196084782, 59.8493862271105, 64.2956371038732,      43.2100676781528, 45.2472845564316, 53.2323487558682, 48.0853674487552,      59.8493862271105, 47.0820037411972, 50.611904867224, 38.3277278491481,      33.7624512920086, 42.9406488823006, 44.4784623272101, 49.6265680017606,      37.86511552469, 46.5337891235228, 57.8338409160427, 34.8124918251294,      42.2729427242036, 55.6028554137324, 44.7951224546969, 53.2511808274062,      49.7945287460269, 51.0750344123124, 48.2897549745108, 64.2956371038732,      46.5276241871987, 49.4651816728235, 46.928570478635, 51.0750344123124,      48.2897549745108, 64.2956371038732, 43.2100676781528, 47.9305655106504,      49.7945287460269, 54.4010389092698, 53.1070741073933, 52.679424728785,      40.0684105152636, 59.0810578447264, 9.28427673577973, 41.2400158442848,      40.2047327317923, 49.5401073855047, 44.2682553036083, 56.0092601714117,      9.28427673577973, 41.2400158442848, 41.7118474878159, 71.2257238675,      63.0762558775002, 49.1044321652144, 59.6677528939964, 63.6827432674325,      66.246501340745, 59.3808825999571, 49.3745883304313, 45.4684267559846,      52.5916164348338, 55.4046058734162, 52.6531091581688, 43.6611274898783,      34.6555670768689, 43.7937149049355, 59.6677528939964, 32.9468364077597,      34.7243154371611, 34.770256416197, 40.0684105152636, 53.4121134505333,      34.1372899040197, 51.4234786227506, 41.7118474878159, 55.8940393515167,      38.1771760608847, 42.1816928023213, 52.5916164348338, 47.6930520805652,      38.7563367324969, 49.5401073855047, 44.2682553036083, 42.1816928023213,      45.9407404477103, 35.348549195, 38.7563367324969, 75.22,      81.23, 79.16, 78.54, 72.52, 77.73, 74.36, 78.52, 79.77, 70.39,      72.07, 77.14), Number = structure(c(1L, 1L, 1L, 1L, 1L, 1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L,      2L, 2L, 2L, 2L, 2L, 2L), .Label = c("First", "Norm"), class = "factor"),      Proxy = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,      2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,      2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,      2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,      1L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L,      4L, 4L), .Label = c("Proxy", "Self", "SelfNorm", "ProxyNorm"     ), class = "factor")), .Names = c("Case", "Item", "Score",  "Number", "Proxy"), row.names = 2:103, class = "data.frame")1> 

Grafikbeispiele[Bearbeiten]

Die hier verwendeten Grafiken stammen von  Benutzer Thire und sollen die Themen des Kapitels GNU R: Diagramme veranschaulichen.

Grafikbeispiel 1[Bearbeiten]

BodyMassIndex.png

Quelltext:

class=c(0,18.5,25,30,35,40,100)
cols=c("skyblue4","darkgreen","yellow","orange","red","darkred","black")
gr=seq(1.4,2.2,length=100)

bmi.k<-function(groesse,konstant) {
  return(groesse^2*konstant)
}

png(filename="BodyMassIndex.png", width=1024, height=768, pointsize=12) 
par(bg="whitesmoke")
plot(gr,bmi.k(gr,18),type="n",xlim=c(1.60,1.99),ylim=c(40,125),xaxt="n",yaxt="n",cex.axis=1.4,cex.lab=1.3,cex.main=1.7,xlab="Größe [in m]",ylab="Gewicht [in kg]", main="Body Mass Index")
polygon(c(gr,rev(gr)),c(bmi.k(gr,class[1]),rev(bmi.k(gr,class[2]))),col=cols[1])
polygon(c(gr,rev(gr)),c(bmi.k(gr,class[2]),rev(bmi.k(gr,class[3]))),col=cols[2])
polygon(c(gr,rev(gr)),c(bmi.k(gr,class[3]),rev(bmi.k(gr,class[4]))),col=cols[3])
polygon(c(gr,rev(gr)),c(bmi.k(gr,class[4]),rev(bmi.k(gr,class[5]))),col=cols[4])
polygon(c(gr,rev(gr)),c(bmi.k(gr,class[5]),rev(bmi.k(gr,class[6]))),col=cols[5])
polygon(c(gr,rev(gr)),c(bmi.k(gr,class[6]),rev(bmi.k(gr,class[7]))),col=cols[6])
polygon(c(gr,rev(gr)),c(bmi.k(gr,class[7]),rev(bmi.k(gr,class[8]))),col=cols[7]) 

box()
grid(lty="dotdash",col="darkgrey")
abline(v=seq(1.65,1.95,by=0.1),h=seq(50,110,by=20),lty="dotted",col="grey") 

legend(x="bottomright",inset=0.005,legend=c("Untergewicht","Normalgewicht","Präadipositas","Adipositas Grad I","Adipositas Grad II","Adipositas Grad III"),col=cols,lwd=6,bg="skyblue")
axis(1,at=format(seq(1.60,2,by=0.1),nsmall=2),labels=format(seq(1.60,2,by=0.1),nsmall=2),cex.axis=1.5)
axis(1,at=seq(1.65,2,by=0.1),cex.axis=1.2,col.axis="grey")
axis(2,at=seq(40,120,by=10),cex.axis=1.5) 
 
dev.off()

Grafikbeispiel 2[Bearbeiten]

Mandate2006.png

Quelltext:

parliament<-function(x, labels=names(x), edges=5000, col=rainbow(length(x)), rad.in=0.25, ...) {
  plot(c(-1,1), c(0,1), type="n", axes=FALSE, xlab="", ylab="", ...)
  y=c(0,pi*cumsum(x)/sum(x))
  ang=seq(0,pi,length=edges)
  for (aktiv in 1:(length(y)-1)) {
    poly=ang[ y[aktiv]<=ang & ang<=y[aktiv+1] ]
    polygon(c(cos(poly),0), c(sin(poly),0),col=col[aktiv],border=col[aktiv])
    text( (cos(y[aktiv])+cos(y[aktiv+1])+rad.in*cos(y[aktiv])+rad.in*cos(y[aktiv+1]))/4, (sin(y[aktiv])+sin(y[aktiv+1])+rad.in*sin(y[aktiv])+rad.in*sin(y[aktiv+1]))/4, col="white", labels=paste(labels[aktiv], "\n" ,x[aktiv]), cex=1.2, adj=c(0.5,0.5))
  }
  polygon(rad.in*cos(ang),rad.in*sin(ang),col=par("bg"),border=par("bg"))
} 

x<-c(21,66,7,68,21)
names(x)<-c("FPÖ", "ÖVP", "BZÖ", "SPÖ", "Grüne")

png(filename="Mandate2006.png", width=1300, height=850, pointsize=12)
par(bg="whitesmoke")
parliament(x, col=c("#126ca8", "black", "#ec921a", "red", "#61bb46"), main="Nationalratswahl 2006 - Mandatsverteilung", cex.main=1.7)
dev.off()


Grafikbeispiel 3[Bearbeiten]

Quantile graph.svg

Quelltext:

qs=c(0,0.5,0.75,0.9,0.95,0.99)
cs=heat.colors(length(qs))

qplot<-function(qs,x,pdf,cdf,pfl) {
  plot(x,pdf,type="n",ylim=range(pdf,0)*1.25,xlab="",ylab="")
  for (q in 1:(length(qs)-1)) {
    xd=   x[(cdf>=qs[q])&(cdf<=qs[q+1])]
    yd= pdf[(cdf>=qs[q])&(cdf<=qs[q+1])]
    polygon(c(xd,xd[length(xd)],xd[1]),c(yd,0,0),col=cs[q],border=cs[q])
    lines(c(xd[length(xd)],xd[length(xd)]),c(max(pdf)*1.1-0.01,max(pdf)*1.1+0.01),col=cs[q],lwd=3)
    arrows(xd[length(xd)]-pfl,max(pdf)*1.1,xd[length(xd)],max(pdf)*1.1,lwd=2,length=0.15) 
    text(xd[length(xd)],max(pdf)*1.15,paste("q(",format(qs[q+1]*100),"%)=",format(xd[length(xd)],digits=1,nsmall=1,decimal.mark=","),sep=""),col=cs[q],cex=1.5,adj=c(1,0))
  }
}

png(filename = "Quantile_graph.png", width=1500, height=1000, pointsize=12)
par(mfrow=c(2,1),bg="whitesmoke")

## normalverteilung
x=seq(-0.6,2.3,by=0.0001)
pdf=dnorm(x=x)
cdf=pnorm(q=x) 

qplot(qs,x,pdf,cdf,0.35)
title(main="Quantile der Normalverteilung")

## chi-quadrat verteilung
df=3
x=seq(0,11.3,length=10000)
pdf=dchisq(x=x,df=df)
cdf=pchisq(q=x,df=df)

qplot(qs,x,pdf,cdf,1.3)
title(main="Quantile der chi-Quadrat Verteilung")
dev.off()

Grafikbeispiel 4[Bearbeiten]

VaR graph.png

Quelltext:

#value at risk graph

quant=0.10

min=-1.7
max=2.6
mean=2.1
s=seq(min,max,length=10000)
d=dnorm(s,mean=mean)
q=qnorm(quant,mean=mean)
sq=c(s[s<q],q,min)
dq=c(d[s<q],0,0)

png(filename = "VaR_graph.png", width=1300, height=800, pointsize=12)
par(bg="whitesmoke")
plot(s,d,type="n",xlab="Portfoliowert [in Mio. EUR]",ylab="Wahrscheinlichkeit",main="Value at Risk",xlim=range(s)*0.935)
abline(h=0,col="grey")
polygon(x=c(s,max,min),y=c(d,0,0),col="snow3")

polygon(x=sq,y=dq,col="skyblue")


text(x=(q-min)*0.93+min,y=dnorm(q,mean=mean)*0.3,label=paste(format(100*quant),"%",sep=""),col="blue",cex=1.7)

lines(x=c(q,q),y=c(0,dnorm(q,mean=mean)*1.35),col="red",lwd=3)
text(x=(q-min)*0.9+min,y=dnorm(q,mean=mean)*1.4,label=paste("VaR=",format(q, digits=2)," Mio EUR",sep=""),col="red",cex=1.6)

lines(x=c(mean,mean)*0.9,y=c(0,dnorm(mean,mean=mean)*0.95),col="darkgrey",lwd=2)
text(x=mean*0.87,y=dnorm(mean*0.9,mean=mean)*0.66,label=paste("Portfoliowert heute: ",mean*0.9," Mio EUR",sep=""),col="black",srt=90)

dev.off()


Grafikbeispiel 5[Bearbeiten]

Lattice-Example-Dotplot01.png

Verwendet werden die Daten aus Beispiel 10.

Der Befehl zum Erzeugen der Grafik lautet:

library(lattice) # Lädt das lattice-Grafikpaket
colors <- c("skyblue4", "blue", "darkgreen","#61bb46")  # Farben für Werte und Labels
key.list <- list(space = "right",     # Legende Ausrichtung
       title="Assessed", cex.title=1.2, # Legendenüberschrift und Größe
       points=list(pch=c(0,15,3,8), col=colors, cex=1), # Legendensymbole
       text=list(levels(bsp10$Proxy), cex=1, font=1),    # Legende mit Schriftgröße und -art
       col=colors)                                       # LegendenSchriftfarbe
grafik <- dotplot(Item ~ Score | Case , groups=Proxy, data=bsp10, 
       layout = c(3,4), # Diagramme werden in 3 Spalten und 4 Reihen aufgeteilt
       key = key.list,  # Verwende die Daten aus dem Objekt "key.list"
       xlab = list(label="Score (T-Rasch)", cex=1.5, font=2),  # Label für X-Achse, Schriftgröße, fett
       ylab = list(label="Dimensions", cex=1.5, font=2),       # Label für Y-Achse, Schriftgröße, fett,
       main= list(label="Each kid: first measure self and proxy", cex=2,5),  # Überschrift 
       #sub = list(label="Kinder: alle Erst- und Zweiterhebungen", cex=1, font=3),
       scales = list(cex=1.2, ces=2), # Achsenbeschriftung (Schriftgröße)
       between = list(x=0.5, y=0.5),  # Abstand zwischen den Diagrammen
       cex = 1,                # Größe der Symbole 
       pch=c(0,15,3,8), col=colors)   # Symbolart der Werte und deren Farbe
update(grafik,
       panel = function(...){panel.grid(h=-1,v=-20) # Gitter hinzufügen
       panel.dotplot(...)  })
rm(colors,key.list,grafik)

siehe auch[Bearbeiten]


Inhaltsverzeichnis[Bearbeiten]