FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 21 Dec 2011 18:40:09 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/21/t1324510854fa2iwcqhdrzxtiv.htm/, Retrieved Tue, 07 May 2024 17:25:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159137, Retrieved Tue, 07 May 2024 17:25:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsDagelijkse koers Umicore aandeel vanaf begin 2006.
Estimated Impact87

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
- R P   [Histogram] [Workshop 1: Task 3] [2011-10-04 18:01:03] [f722e8e78b9e5c5ebaa2263f273aa636]
-         [Histogram] [Paper: Histogram] [2011-12-21 11:23:29] [f722e8e78b9e5c5ebaa2263f273aa636]
-   PD        [Histogram] [Paper: Histogram] [2011-12-21 23:40:09] [3e64eea457df40fcb7af8f28e1ee6256] [Current]
-   PD          [Histogram] [Paper: Histogram ...] [2011-12-23 08:20:28] [f722e8e78b9e5c5ebaa2263f273aa636]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20.02
21.40
21.40
21.46
21.46
21.44
21.22
21.46
21.62
21.68
20.98
20.12
19.90
20.98
21.10
20.66
21.38
21.30
21.60
21.50
21.56
21.66
21.60
21.86
21.74
21.74
21.78
21.54
21.70
21.58
21.40
21.52
21.82
23.00
23.40
23.96
24.24
24.50
24.54
24.58
24.38
23.82
24.00
23.96
24.00
24.00
23.30
22.94
23.28
23.38
23.20
23.10
23.14
23.08
23.36
23.76
23.36
23.34
23.78
24.08
23.42
23.36
23.00
22.96
22.92
23.00
23.54
24.18
24.40
24.22
24.40
24.38
23.78
24.38
24.56
24.58
24.18
24.82
25.58
25.12
25.64
25.20
25.28
25.90
26.00
25.88
25.88
25.64
25.86
25.94
25.84
24.98
23.76
23.46
22.58
22.40
22.34
20.76
21.52
21.04
21.68
22.64
23.04
22.00
22.58
22.34
22.88
22.52
21.90
21.60
20.92
20.78
20.58
19.09
19.16
20.20
19.86
19.79
20.10
19.75
19.60
19.96
19.86
19.74
19.84
20.40
20.88
21.20
21.28
20.64
20.96
21.14
21.06
20.94
21.36
20.52
20.16
19.71
19.89
20.46
20.16
19.84
20.08
20.16
20.24
20.24
20.00
19.81
20.08
19.93
19.87
20.06
19.59
19.50
19.41
19.24
19.62
19.83
20.22
20.68
21.38
21.26
21.52
21.64
21.36
22.56
22.28
22.74
22.22
22.48
22.70
22.94
23.02
22.90
22.92
22.42
22.52
22.06
22.34
22.48
22.96
23.00
23.06
22.90
22.98
23.14
22.92
22.96
23.06
23.48
23.50
23.34
23.54
23.16
23.18
23.46
23.48
23.48
24.06
24.06
24.64
24.54
24.72
23.96
24.54
24.66
24.90
25.06
24.70
24.72
24.78
24.64
24.54
24.32
24.60
24.38
24.26
24.34
24.24
24.96
24.94
24.98
24.70
24.34
24.48
24.68
24.04
24.02
24.22
24.12
24.18
24.22
23.46
22.80
23.30
22.70
22.76
23.32
23.44
23.46
23.18
23.32
23.14
24.32
25.40
25.34
25.74
25.94
25.60
25.56
25.54
25.62
25.78
25.52
25.80
25.94
25.90
24.46
23.72
24.00
24.06
24.44
25.34
25.30
25.00
25.18
25.02
25.36
25.44
25.74
25.56
25.94
26.82
26.32
26.76
26.50
26.92
27.12
27.44
27.52
28.34
29.40
28.52
28.52
28.22
28.16
28.26
27.84
27.36
27.92
27.36
27.60
27.81
27.40
27.58
26.36
25.87
25.36
26.11
25.40
25.40
25.67
26.66
26.16
26.01
26.07
24.73
25.50
25.34
25.79
26.17
26.19
26.63
26.49
26.47
26.84
26.66
26.91
26.62
26.92
27.60
27.52
27.58
28.30
28.25
28.15
27.92
28.28
27.97
27.62
27.51
28.05
27.31
27.60
28.07
29.90
29.52
29.71
30.05
30.30
30.80
31.03
30.22
30.82
31.35
30.93
30.84
30.90
30.63
30.78
31.14
30.90
31.81
31.52
31.27
31.18
31.36
31.45
31.24
31.72
31.76
31.58
31.76
30.56
29.90
30.54
31.05
30.94
31.26
31.92
32.70
32.59
32.50
32.63
32.16
31.60
31.43
31.32
31.01
31.44
32.25
32.01
32.90
34.59
34.40
34.71
34.84
34.02
33.79
34.92
35.30
35.25
35.64
35.39
35.99
35.72
36.36
34.62
34.34
33.18
33.05
33.20
33.60
33.33
32.90
32.64
31.49
32.02
32.08
31.20
30.16
30.58
30.60
29.96
28.06
27.96
29.34
30.28
31.62
32.58
32.74
32.95
31.89
32.80
33.22
33.62
34.34
33.84
34.02
33.70
33.05
32.42
32.50
32.15
32.20
31.89
31.23
31.56
32.66
32.30
32.51
33.32
32.26
33.62
34.00
33.52
33.80
34.50
35.18
35.07
34.91
35.57
35.60
35.77
35.78
35.25
36.31
35.28
36.09
35.00
34.75
33.65
34.36
34.20
34.65
35.32
36.53
35.31
34.40
33.62
34.40
34.30
34.87
34.33
34.03
33.05
32.16
31.27
31.41
30.44
30.78
29.64
29.57
28.38
29.51
30.76
30.64
30.32
31.18
31.62
31.99
31.50
30.75
31.07
31.11
31.51
31.51
31.45
30.91
30.52
31.40
30.76
30.74
30.24
32.97
32.88
32.88
33.63
33.72
34.00
33.74
32.85
31.93
31.66
31.40
31.13
30.85
30.71
30.60
29.55
28.29
28.47
27.71
26.30
26.70
26.30
27.90
28.73
29.14
30.65
29.80
30.42
31.48
31.67
30.60
31.59
31.31
30.98
30.70
31.88
32.43
30.31
29.64
30.18
31.21
31.82
32.24
32.01
32.18
33.21
33.57
32.66
33.79
33.81
33.82
34.88
33.45
32.65
31.60
32.02
32.90
32.68
33.09
31.03
31.80
31.36
30.31
31.31
31.84
32.47
32.21
32.96
32.85
32.68
32.01
32.35
33.12
32.61
32.58
33.00
33.30
32.71
33.11
33.44
33.79
33.93
33.84
34.20
31.75
31.12
30.55
31.84
33.55
34.31
35.25
35.09
34.70
34.26
34.75
33.30
34.14
35.06
35.03
33.96
34.83
35.84
35.53
37.10
35.85
34.77
33.95
34.20
34.30
35.09
35.16
34.96
36.02
35.97
36.41
35.84
35.33
35.33
35.05
35.26
34.48
34.96
34.98
33.79
33.14
33.34
33.31
32.27
32.07
31.37
31.17
31.40
29.90
29.90
28.98
28.84
30.04
29.56
30.59
29.71
28.73
29.25
28.12
27.81
29.04
29.00
29.41
29.50
29.49
27.89
28.77
28.70
28.82
28.79
28.94
26.89
24.98
25.52
26.39
26.52
25.00
25.85
25.70
25.70
26.36
26.34
26.22
25.47
25.40
28.41
28.90
28.76
29.15
29.99
29.57
29.97
29.55
29.29
28.68
27.13
25.68
27.04
25.58
25.57
25.60
26.67
25.64
24.96
23.14
22.12
24.59
24.70
23.21
22.68
22.41
21.46
19.71
21.59
20.93
20.32
20.09
18.20
17.52
16.47
16.80
16.03
17.82
17.71
16.77
15.16
14.83
14.57
14.98
13.76
12.87
12.59
11.25
11.60
12.50
13.80
13.96
13.72
15.30
14.69
13.17
13.28
14.76
14.16
13.43
14.14
14.34
13.14
13.27
12.01
10.27
10.35
11.55
11.89
12.79
13.89
14.11
12.55
12.59
12.73
13.23
12.00
13.07
13.55
13.92
13.80
12.92
13.78
14.06
14.18
13.61
13.65
13.00
12.90
13.05
13.53
14.20
14.07
14.88
15.22
15.94
15.34
15.14
14.74
15.13
14.60
14.15
13.21
13.22
12.50
12.42
13.17
13.05
13.26
14.12
14.10
14.55
14.42
14.61
13.90
14.52
15.25
14.91
15.75
15.49
15.55
15.95
14.38
14.68
15.16
14.25
14.23
13.93
13.50
13.10
12.68
12.48
12.60
12.05
11.96
11.89
13.19
12.13
12.12
12.08
12.98
13.14
13.24
12.96
13.13
12.94
12.88
13.27
13.61
14.19
14.30
14.10
14.42
14.25
13.26
13.91
13.43
14.35
14.95
14.09
13.83
14.05
15.55
16.50
16.51
16.40
16.92
15.68
16.51
16.85
16.68
17.07
16.85
15.53
15.68
14.98
16.12
16.72
17.53
17.54
17.37
16.48
16.01
14.98
15.17
15.69
16.18
16.28
16.80
16.15
16.40
16.33
16.09
16.52
16.34
16.88
17.56
17.90
17.33
16.63
17.00
16.95
16.85
17.45
18.08
18.25
17.28
16.51
15.61
15.33
15.89
15.25
15.38
16.09
15.88
15.90
16.15
16.17
16.57
16.10
15.66
15.19
15.64
14.79
15.02
14.60
15.00
15.36
16.19
16.28
16.24
16.62
16.80
16.52
16.93
17.12
17.23
16.76
16.90
17.45
18.32
18.56
18.66
18.52
19.25
18.78
18.50
18.20
18.31
19.50
19.07
18.01
18.26
18.56
18.83
18.96
19.19
19.03
18.52
18.55
18.88
18.89
18.30
17.80
18.02
18.23
18.72
19.29
19.12
19.15
19.57
19.53
19.76
20.33
20.42
20.26
19.73
19.76
19.58
19.47
19.50
20.26
20.36
20.46
20.21
19.51
19.49
20.59
20.40
21.06
21.16
21.72
21.80
22.34
22.23
22.39
22.56
22.40
22.10
21.10
21.95
21.68
21.26
20.80
21.50
20.75
21.28
21.00
21.95
21.72
21.67
23.06
22.85
23.32
23.06
23.02
23.82
24.21
24.32
23.71
23.61
24.09
23.36
23.84
22.89
22.99
22.67
23.73
24.08
23.64
23.58
23.26
23.00
23.38
23.21
23.63
23.88
23.83
24.02
23.39
23.45
23.74
23.68
23.71
23.75
23.83
24.12
23.58
23.40
24.90
25.06
25.10
24.92
25.46
25.89
25.39
25.38
25.25
24.88
25.00
25.00
24.07
23.60
23.18
23.25
23.04
22.77
22.25
22.41
22.50
22.91
22.88
21.69
21.19
21.56
22.00
22.13
22.27
22.30
21.94
22.40
22.77
22.90
23.03
23.05
22.41
22.26
21.90
22.01
22.62
22.76
23.40
23.63
24.05
23.82
23.71
23.95
23.61
23.98
23.56
23.99
24.33
24.48
24.31
24.38
24.63
25.54
25.75
25.73
25.85
25.78
25.86
26.86
27.36
27.38
26.58
27.65
27.73
27.18
27.32
27.30
26.90
26.70
26.75
26.41
26.29
27.51
27.91
27.70
27.28
28.25
27.62
27.30
25.94
24.99
25.50
24.42
26.58
25.84
26.76
26.74
26.68
25.55
26.40
25.19
23.94
24.20
24.20
23.07
24.07
25.02
24.65
24.68
24.63
24.49
25.05
24.31
23.90
23.68
24.50
25.22
25.48
26.00
26.07
26.06
26.22
26.70
27.20
26.77
26.11
25.43
24.99
25.51
24.00
23.86
22.96
23.41
23.17
24.12
23.87
24.27
24.40
24.16
25.15
25.09
24.60
24.33
24.14
24.36
25.40
26.15
26.77
26.94
26.33
26.24
26.23
25.88
27.00
26.91
27.15
27.78
28.73
28.83
28.68
27.56
27.15
27.41
27.47
28.76
28.47
27.94
27.23
27.01
26.15
26.11
27.20
27.36
27.33
27.43
28.92
29.45
29.01
29.25
29.14
29.64
30.40
30.62
31.25
31.75
31.30
30.70
31.03
31.46
31.28
31.03
30.95
31.17
31.29
31.91
32.10
31.71
31.90
32.02
32.65
33.77
33.51
34.26
34.21
34.13
34.73
34.73
34.57
34.80
33.98
34.40
34.21
34.61
35.25
35.23
35.00
34.52
33.82
34.35
34.81
34.96
36.69
36.42
36.44
37.41
36.40
36.15
35.78
36.95
36.14
36.36
37.31
37.58
38.00
37.23
37.00
37.87
37.70
36.17
36.56
37.70
38.77
39.02
39.88
39.56
38.52
37.20
38.58
39.41
39.08
38.81
38.73
38.70
39.23
39.82
39.97
40.37
39.54
39.21
39.07
39.78
39.40
38.92

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159137&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159137&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159137&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[10,10.5[10.2520.0015620.0015620.003125
[10.5,11[10.75000.0015620
[11,11.5[11.2510.0007810.0023440.001562
[11.5,12[11.7550.0039060.006250.007812
[12,12.5[12.2580.006250.01250.0125
[12.5,13[12.75160.01250.0250.025
[13,13.5[13.25220.0171880.0421880.034375
[13.5,14[13.75180.0140620.056250.028125
[14,14.5[14.25230.0179690.0742190.035938
[14.5,15[14.75180.0140620.0882810.028125
[15,15.5[15.25170.0132810.1015620.026562
[15.5,16[15.75150.0117190.1132810.023438
[16,16.5[16.25200.0156250.1289060.03125
[16.5,17[16.75240.018750.1476560.0375
[17,17.5[17.2590.0070310.1546870.014062
[17.5,18[17.7580.006250.1609370.0125
[18,18.5[18.25110.0085940.1695310.017188
[18.5,19[18.75130.0101560.1796880.020312
[19,19.5[19.25130.0101560.1898440.020312
[19.5,20[19.75290.0226560.21250.045312
[20,20.5[20.25260.0203120.2328120.040625
[20.5,21[20.75170.0132810.2460940.026562
[21,21.5[21.25280.0218750.2679690.04375
[21.5,22[21.75350.0273440.2953120.054688
[22,22.5[22.25280.0218750.3171870.04375
[22.5,23[22.75380.0296880.3468750.059375
[23,23.5[23.25610.0476560.3945310.095312
[23.5,24[23.75420.0328120.4273440.065625
[24,24.5[24.25590.0460940.4734370.092188
[24.5,25[24.75400.031250.5046870.0625
[25,25.5[25.25370.0289060.5335940.057812
[25.5,26[25.75490.0382810.5718750.076562
[26,26.5[26.25310.0242190.5960940.048438
[26.5,27[26.75290.0226560.618750.045312
[27,27.5[27.25270.0210940.6398440.042188
[27.5,28[27.75280.0218750.6617190.04375
[28,28.5[28.25180.0140620.6757810.028125
[28.5,29[28.75190.0148440.6906250.029688
[29,29.5[29.25140.0109380.7015630.021875
[29.5,30[29.75210.0164060.7179690.032812
[30,30.5[30.25140.0109380.7289060.021875
[30.5,31[30.75330.0257810.7546880.051562
[31,31.5[31.25440.0343750.7890630.06875
[31.5,32[31.75320.0250.8140630.05
[32,32.5[32.25240.018750.8328130.0375
[32.5,33[32.75290.0226560.8554690.045312
[33,33.5[33.25200.0156250.8710940.03125
[33.5,34[33.75280.0218750.8929690.04375
[34,34.5[34.25270.0210940.9140630.042188
[34.5,35[34.75260.0203120.9343750.040625
[35,35.5[35.25230.0179690.9523440.035938
[35.5,36[35.75130.0101560.96250.020312
[36,36.5[36.25120.0093750.9718750.01875
[36.5,37[36.7540.0031250.9750.00625
[37,37.5[37.2560.0046880.9796880.009375
[37.5,38[37.7540.0031250.9828130.00625
[38,38.5[38.2510.0007810.9835940.001562
[38.5,39[38.7570.0054690.9890630.010938
[39,39.5[39.2570.0054690.9945310.010938
[39.5,40[39.7560.0046880.9992190.009375
[40,40.5]40.2510.00078110.001562

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10,10.5[ & 10.25 & 2 & 0.001562 & 0.001562 & 0.003125 \tabularnewline
[10.5,11[ & 10.75 & 0 & 0 & 0.001562 & 0 \tabularnewline
[11,11.5[ & 11.25 & 1 & 0.000781 & 0.002344 & 0.001562 \tabularnewline
[11.5,12[ & 11.75 & 5 & 0.003906 & 0.00625 & 0.007812 \tabularnewline
[12,12.5[ & 12.25 & 8 & 0.00625 & 0.0125 & 0.0125 \tabularnewline
[12.5,13[ & 12.75 & 16 & 0.0125 & 0.025 & 0.025 \tabularnewline
[13,13.5[ & 13.25 & 22 & 0.017188 & 0.042188 & 0.034375 \tabularnewline
[13.5,14[ & 13.75 & 18 & 0.014062 & 0.05625 & 0.028125 \tabularnewline
[14,14.5[ & 14.25 & 23 & 0.017969 & 0.074219 & 0.035938 \tabularnewline
[14.5,15[ & 14.75 & 18 & 0.014062 & 0.088281 & 0.028125 \tabularnewline
[15,15.5[ & 15.25 & 17 & 0.013281 & 0.101562 & 0.026562 \tabularnewline
[15.5,16[ & 15.75 & 15 & 0.011719 & 0.113281 & 0.023438 \tabularnewline
[16,16.5[ & 16.25 & 20 & 0.015625 & 0.128906 & 0.03125 \tabularnewline
[16.5,17[ & 16.75 & 24 & 0.01875 & 0.147656 & 0.0375 \tabularnewline
[17,17.5[ & 17.25 & 9 & 0.007031 & 0.154687 & 0.014062 \tabularnewline
[17.5,18[ & 17.75 & 8 & 0.00625 & 0.160937 & 0.0125 \tabularnewline
[18,18.5[ & 18.25 & 11 & 0.008594 & 0.169531 & 0.017188 \tabularnewline
[18.5,19[ & 18.75 & 13 & 0.010156 & 0.179688 & 0.020312 \tabularnewline
[19,19.5[ & 19.25 & 13 & 0.010156 & 0.189844 & 0.020312 \tabularnewline
[19.5,20[ & 19.75 & 29 & 0.022656 & 0.2125 & 0.045312 \tabularnewline
[20,20.5[ & 20.25 & 26 & 0.020312 & 0.232812 & 0.040625 \tabularnewline
[20.5,21[ & 20.75 & 17 & 0.013281 & 0.246094 & 0.026562 \tabularnewline
[21,21.5[ & 21.25 & 28 & 0.021875 & 0.267969 & 0.04375 \tabularnewline
[21.5,22[ & 21.75 & 35 & 0.027344 & 0.295312 & 0.054688 \tabularnewline
[22,22.5[ & 22.25 & 28 & 0.021875 & 0.317187 & 0.04375 \tabularnewline
[22.5,23[ & 22.75 & 38 & 0.029688 & 0.346875 & 0.059375 \tabularnewline
[23,23.5[ & 23.25 & 61 & 0.047656 & 0.394531 & 0.095312 \tabularnewline
[23.5,24[ & 23.75 & 42 & 0.032812 & 0.427344 & 0.065625 \tabularnewline
[24,24.5[ & 24.25 & 59 & 0.046094 & 0.473437 & 0.092188 \tabularnewline
[24.5,25[ & 24.75 & 40 & 0.03125 & 0.504687 & 0.0625 \tabularnewline
[25,25.5[ & 25.25 & 37 & 0.028906 & 0.533594 & 0.057812 \tabularnewline
[25.5,26[ & 25.75 & 49 & 0.038281 & 0.571875 & 0.076562 \tabularnewline
[26,26.5[ & 26.25 & 31 & 0.024219 & 0.596094 & 0.048438 \tabularnewline
[26.5,27[ & 26.75 & 29 & 0.022656 & 0.61875 & 0.045312 \tabularnewline
[27,27.5[ & 27.25 & 27 & 0.021094 & 0.639844 & 0.042188 \tabularnewline
[27.5,28[ & 27.75 & 28 & 0.021875 & 0.661719 & 0.04375 \tabularnewline
[28,28.5[ & 28.25 & 18 & 0.014062 & 0.675781 & 0.028125 \tabularnewline
[28.5,29[ & 28.75 & 19 & 0.014844 & 0.690625 & 0.029688 \tabularnewline
[29,29.5[ & 29.25 & 14 & 0.010938 & 0.701563 & 0.021875 \tabularnewline
[29.5,30[ & 29.75 & 21 & 0.016406 & 0.717969 & 0.032812 \tabularnewline
[30,30.5[ & 30.25 & 14 & 0.010938 & 0.728906 & 0.021875 \tabularnewline
[30.5,31[ & 30.75 & 33 & 0.025781 & 0.754688 & 0.051562 \tabularnewline
[31,31.5[ & 31.25 & 44 & 0.034375 & 0.789063 & 0.06875 \tabularnewline
[31.5,32[ & 31.75 & 32 & 0.025 & 0.814063 & 0.05 \tabularnewline
[32,32.5[ & 32.25 & 24 & 0.01875 & 0.832813 & 0.0375 \tabularnewline
[32.5,33[ & 32.75 & 29 & 0.022656 & 0.855469 & 0.045312 \tabularnewline
[33,33.5[ & 33.25 & 20 & 0.015625 & 0.871094 & 0.03125 \tabularnewline
[33.5,34[ & 33.75 & 28 & 0.021875 & 0.892969 & 0.04375 \tabularnewline
[34,34.5[ & 34.25 & 27 & 0.021094 & 0.914063 & 0.042188 \tabularnewline
[34.5,35[ & 34.75 & 26 & 0.020312 & 0.934375 & 0.040625 \tabularnewline
[35,35.5[ & 35.25 & 23 & 0.017969 & 0.952344 & 0.035938 \tabularnewline
[35.5,36[ & 35.75 & 13 & 0.010156 & 0.9625 & 0.020312 \tabularnewline
[36,36.5[ & 36.25 & 12 & 0.009375 & 0.971875 & 0.01875 \tabularnewline
[36.5,37[ & 36.75 & 4 & 0.003125 & 0.975 & 0.00625 \tabularnewline
[37,37.5[ & 37.25 & 6 & 0.004688 & 0.979688 & 0.009375 \tabularnewline
[37.5,38[ & 37.75 & 4 & 0.003125 & 0.982813 & 0.00625 \tabularnewline
[38,38.5[ & 38.25 & 1 & 0.000781 & 0.983594 & 0.001562 \tabularnewline
[38.5,39[ & 38.75 & 7 & 0.005469 & 0.989063 & 0.010938 \tabularnewline
[39,39.5[ & 39.25 & 7 & 0.005469 & 0.994531 & 0.010938 \tabularnewline
[39.5,40[ & 39.75 & 6 & 0.004688 & 0.999219 & 0.009375 \tabularnewline
[40,40.5] & 40.25 & 1 & 0.000781 & 1 & 0.001562 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159137&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][10,10.5[[/C][C]10.25[/C][C]2[/C][C]0.001562[/C][C]0.001562[/C][C]0.003125[/C][/ROW]
[ROW][C][10.5,11[[/C][C]10.75[/C][C]0[/C][C]0[/C][C]0.001562[/C][C]0[/C][/ROW]
[ROW][C][11,11.5[[/C][C]11.25[/C][C]1[/C][C]0.000781[/C][C]0.002344[/C][C]0.001562[/C][/ROW]
[ROW][C][11.5,12[[/C][C]11.75[/C][C]5[/C][C]0.003906[/C][C]0.00625[/C][C]0.007812[/C][/ROW]
[ROW][C][12,12.5[[/C][C]12.25[/C][C]8[/C][C]0.00625[/C][C]0.0125[/C][C]0.0125[/C][/ROW]
[ROW][C][12.5,13[[/C][C]12.75[/C][C]16[/C][C]0.0125[/C][C]0.025[/C][C]0.025[/C][/ROW]
[ROW][C][13,13.5[[/C][C]13.25[/C][C]22[/C][C]0.017188[/C][C]0.042188[/C][C]0.034375[/C][/ROW]
[ROW][C][13.5,14[[/C][C]13.75[/C][C]18[/C][C]0.014062[/C][C]0.05625[/C][C]0.028125[/C][/ROW]
[ROW][C][14,14.5[[/C][C]14.25[/C][C]23[/C][C]0.017969[/C][C]0.074219[/C][C]0.035938[/C][/ROW]
[ROW][C][14.5,15[[/C][C]14.75[/C][C]18[/C][C]0.014062[/C][C]0.088281[/C][C]0.028125[/C][/ROW]
[ROW][C][15,15.5[[/C][C]15.25[/C][C]17[/C][C]0.013281[/C][C]0.101562[/C][C]0.026562[/C][/ROW]
[ROW][C][15.5,16[[/C][C]15.75[/C][C]15[/C][C]0.011719[/C][C]0.113281[/C][C]0.023438[/C][/ROW]
[ROW][C][16,16.5[[/C][C]16.25[/C][C]20[/C][C]0.015625[/C][C]0.128906[/C][C]0.03125[/C][/ROW]
[ROW][C][16.5,17[[/C][C]16.75[/C][C]24[/C][C]0.01875[/C][C]0.147656[/C][C]0.0375[/C][/ROW]
[ROW][C][17,17.5[[/C][C]17.25[/C][C]9[/C][C]0.007031[/C][C]0.154687[/C][C]0.014062[/C][/ROW]
[ROW][C][17.5,18[[/C][C]17.75[/C][C]8[/C][C]0.00625[/C][C]0.160937[/C][C]0.0125[/C][/ROW]
[ROW][C][18,18.5[[/C][C]18.25[/C][C]11[/C][C]0.008594[/C][C]0.169531[/C][C]0.017188[/C][/ROW]
[ROW][C][18.5,19[[/C][C]18.75[/C][C]13[/C][C]0.010156[/C][C]0.179688[/C][C]0.020312[/C][/ROW]
[ROW][C][19,19.5[[/C][C]19.25[/C][C]13[/C][C]0.010156[/C][C]0.189844[/C][C]0.020312[/C][/ROW]
[ROW][C][19.5,20[[/C][C]19.75[/C][C]29[/C][C]0.022656[/C][C]0.2125[/C][C]0.045312[/C][/ROW]
[ROW][C][20,20.5[[/C][C]20.25[/C][C]26[/C][C]0.020312[/C][C]0.232812[/C][C]0.040625[/C][/ROW]
[ROW][C][20.5,21[[/C][C]20.75[/C][C]17[/C][C]0.013281[/C][C]0.246094[/C][C]0.026562[/C][/ROW]
[ROW][C][21,21.5[[/C][C]21.25[/C][C]28[/C][C]0.021875[/C][C]0.267969[/C][C]0.04375[/C][/ROW]
[ROW][C][21.5,22[[/C][C]21.75[/C][C]35[/C][C]0.027344[/C][C]0.295312[/C][C]0.054688[/C][/ROW]
[ROW][C][22,22.5[[/C][C]22.25[/C][C]28[/C][C]0.021875[/C][C]0.317187[/C][C]0.04375[/C][/ROW]
[ROW][C][22.5,23[[/C][C]22.75[/C][C]38[/C][C]0.029688[/C][C]0.346875[/C][C]0.059375[/C][/ROW]
[ROW][C][23,23.5[[/C][C]23.25[/C][C]61[/C][C]0.047656[/C][C]0.394531[/C][C]0.095312[/C][/ROW]
[ROW][C][23.5,24[[/C][C]23.75[/C][C]42[/C][C]0.032812[/C][C]0.427344[/C][C]0.065625[/C][/ROW]
[ROW][C][24,24.5[[/C][C]24.25[/C][C]59[/C][C]0.046094[/C][C]0.473437[/C][C]0.092188[/C][/ROW]
[ROW][C][24.5,25[[/C][C]24.75[/C][C]40[/C][C]0.03125[/C][C]0.504687[/C][C]0.0625[/C][/ROW]
[ROW][C][25,25.5[[/C][C]25.25[/C][C]37[/C][C]0.028906[/C][C]0.533594[/C][C]0.057812[/C][/ROW]
[ROW][C][25.5,26[[/C][C]25.75[/C][C]49[/C][C]0.038281[/C][C]0.571875[/C][C]0.076562[/C][/ROW]
[ROW][C][26,26.5[[/C][C]26.25[/C][C]31[/C][C]0.024219[/C][C]0.596094[/C][C]0.048438[/C][/ROW]
[ROW][C][26.5,27[[/C][C]26.75[/C][C]29[/C][C]0.022656[/C][C]0.61875[/C][C]0.045312[/C][/ROW]
[ROW][C][27,27.5[[/C][C]27.25[/C][C]27[/C][C]0.021094[/C][C]0.639844[/C][C]0.042188[/C][/ROW]
[ROW][C][27.5,28[[/C][C]27.75[/C][C]28[/C][C]0.021875[/C][C]0.661719[/C][C]0.04375[/C][/ROW]
[ROW][C][28,28.5[[/C][C]28.25[/C][C]18[/C][C]0.014062[/C][C]0.675781[/C][C]0.028125[/C][/ROW]
[ROW][C][28.5,29[[/C][C]28.75[/C][C]19[/C][C]0.014844[/C][C]0.690625[/C][C]0.029688[/C][/ROW]
[ROW][C][29,29.5[[/C][C]29.25[/C][C]14[/C][C]0.010938[/C][C]0.701563[/C][C]0.021875[/C][/ROW]
[ROW][C][29.5,30[[/C][C]29.75[/C][C]21[/C][C]0.016406[/C][C]0.717969[/C][C]0.032812[/C][/ROW]
[ROW][C][30,30.5[[/C][C]30.25[/C][C]14[/C][C]0.010938[/C][C]0.728906[/C][C]0.021875[/C][/ROW]
[ROW][C][30.5,31[[/C][C]30.75[/C][C]33[/C][C]0.025781[/C][C]0.754688[/C][C]0.051562[/C][/ROW]
[ROW][C][31,31.5[[/C][C]31.25[/C][C]44[/C][C]0.034375[/C][C]0.789063[/C][C]0.06875[/C][/ROW]
[ROW][C][31.5,32[[/C][C]31.75[/C][C]32[/C][C]0.025[/C][C]0.814063[/C][C]0.05[/C][/ROW]
[ROW][C][32,32.5[[/C][C]32.25[/C][C]24[/C][C]0.01875[/C][C]0.832813[/C][C]0.0375[/C][/ROW]
[ROW][C][32.5,33[[/C][C]32.75[/C][C]29[/C][C]0.022656[/C][C]0.855469[/C][C]0.045312[/C][/ROW]
[ROW][C][33,33.5[[/C][C]33.25[/C][C]20[/C][C]0.015625[/C][C]0.871094[/C][C]0.03125[/C][/ROW]
[ROW][C][33.5,34[[/C][C]33.75[/C][C]28[/C][C]0.021875[/C][C]0.892969[/C][C]0.04375[/C][/ROW]
[ROW][C][34,34.5[[/C][C]34.25[/C][C]27[/C][C]0.021094[/C][C]0.914063[/C][C]0.042188[/C][/ROW]
[ROW][C][34.5,35[[/C][C]34.75[/C][C]26[/C][C]0.020312[/C][C]0.934375[/C][C]0.040625[/C][/ROW]
[ROW][C][35,35.5[[/C][C]35.25[/C][C]23[/C][C]0.017969[/C][C]0.952344[/C][C]0.035938[/C][/ROW]
[ROW][C][35.5,36[[/C][C]35.75[/C][C]13[/C][C]0.010156[/C][C]0.9625[/C][C]0.020312[/C][/ROW]
[ROW][C][36,36.5[[/C][C]36.25[/C][C]12[/C][C]0.009375[/C][C]0.971875[/C][C]0.01875[/C][/ROW]
[ROW][C][36.5,37[[/C][C]36.75[/C][C]4[/C][C]0.003125[/C][C]0.975[/C][C]0.00625[/C][/ROW]
[ROW][C][37,37.5[[/C][C]37.25[/C][C]6[/C][C]0.004688[/C][C]0.979688[/C][C]0.009375[/C][/ROW]
[ROW][C][37.5,38[[/C][C]37.75[/C][C]4[/C][C]0.003125[/C][C]0.982813[/C][C]0.00625[/C][/ROW]
[ROW][C][38,38.5[[/C][C]38.25[/C][C]1[/C][C]0.000781[/C][C]0.983594[/C][C]0.001562[/C][/ROW]
[ROW][C][38.5,39[[/C][C]38.75[/C][C]7[/C][C]0.005469[/C][C]0.989063[/C][C]0.010938[/C][/ROW]
[ROW][C][39,39.5[[/C][C]39.25[/C][C]7[/C][C]0.005469[/C][C]0.994531[/C][C]0.010938[/C][/ROW]
[ROW][C][39.5,40[[/C][C]39.75[/C][C]6[/C][C]0.004688[/C][C]0.999219[/C][C]0.009375[/C][/ROW]
[ROW][C][40,40.5][/C][C]40.25[/C][C]1[/C][C]0.000781[/C][C]1[/C][C]0.001562[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159137&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159137&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[10,10.5[10.2520.0015620.0015620.003125
[10.5,11[10.75000.0015620
[11,11.5[11.2510.0007810.0023440.001562
[11.5,12[11.7550.0039060.006250.007812
[12,12.5[12.2580.006250.01250.0125
[12.5,13[12.75160.01250.0250.025
[13,13.5[13.25220.0171880.0421880.034375
[13.5,14[13.75180.0140620.056250.028125
[14,14.5[14.25230.0179690.0742190.035938
[14.5,15[14.75180.0140620.0882810.028125
[15,15.5[15.25170.0132810.1015620.026562
[15.5,16[15.75150.0117190.1132810.023438
[16,16.5[16.25200.0156250.1289060.03125
[16.5,17[16.75240.018750.1476560.0375
[17,17.5[17.2590.0070310.1546870.014062
[17.5,18[17.7580.006250.1609370.0125
[18,18.5[18.25110.0085940.1695310.017188
[18.5,19[18.75130.0101560.1796880.020312
[19,19.5[19.25130.0101560.1898440.020312
[19.5,20[19.75290.0226560.21250.045312
[20,20.5[20.25260.0203120.2328120.040625
[20.5,21[20.75170.0132810.2460940.026562
[21,21.5[21.25280.0218750.2679690.04375
[21.5,22[21.75350.0273440.2953120.054688
[22,22.5[22.25280.0218750.3171870.04375
[22.5,23[22.75380.0296880.3468750.059375
[23,23.5[23.25610.0476560.3945310.095312
[23.5,24[23.75420.0328120.4273440.065625
[24,24.5[24.25590.0460940.4734370.092188
[24.5,25[24.75400.031250.5046870.0625
[25,25.5[25.25370.0289060.5335940.057812
[25.5,26[25.75490.0382810.5718750.076562
[26,26.5[26.25310.0242190.5960940.048438
[26.5,27[26.75290.0226560.618750.045312
[27,27.5[27.25270.0210940.6398440.042188
[27.5,28[27.75280.0218750.6617190.04375
[28,28.5[28.25180.0140620.6757810.028125
[28.5,29[28.75190.0148440.6906250.029688
[29,29.5[29.25140.0109380.7015630.021875
[29.5,30[29.75210.0164060.7179690.032812
[30,30.5[30.25140.0109380.7289060.021875
[30.5,31[30.75330.0257810.7546880.051562
[31,31.5[31.25440.0343750.7890630.06875
[31.5,32[31.75320.0250.8140630.05
[32,32.5[32.25240.018750.8328130.0375
[32.5,33[32.75290.0226560.8554690.045312
[33,33.5[33.25200.0156250.8710940.03125
[33.5,34[33.75280.0218750.8929690.04375
[34,34.5[34.25270.0210940.9140630.042188
[34.5,35[34.75260.0203120.9343750.040625
[35,35.5[35.25230.0179690.9523440.035938
[35.5,36[35.75130.0101560.96250.020312
[36,36.5[36.25120.0093750.9718750.01875
[36.5,37[36.7540.0031250.9750.00625
[37,37.5[37.2560.0046880.9796880.009375
[37.5,38[37.7540.0031250.9828130.00625
[38,38.5[38.2510.0007810.9835940.001562
[38.5,39[38.7570.0054690.9890630.010938
[39,39.5[39.2570.0054690.9945310.010938
[39.5,40[39.7560.0046880.9992190.009375
[40,40.5]40.2510.00078110.001562


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 150 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}