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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 computationMon, 19 Oct 2009 13:20:29 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/19/t1255980165wacoxigow2r08um.htm/, Retrieved Mon, 29 Apr 2024 17:44:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48138, Retrieved Mon, 29 Apr 2024 17:44:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsworkshop 3 deel 1 Histogram (50)
Estimated Impact136

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMP         [Histogram] [workshop 3 deel 1...] [2009-10-19 19:20:29] [6198946fb53eb5eb18db46bb758f7fde] [Current]
- RMPD          [Univariate Explorative Data Analysis] [workshop 3 deel 2...] [2009-10-20 18:02:51] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Central Tendency] [workshop 3 deel 2...] [2009-10-20 18:40:16] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Univariate Explorative Data Analysis] [workshop 3 deel 2...] [2009-10-20 19:14:26] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Univariate Explorative Data Analysis] [workshop 3 deel 2...] [2009-10-20 19:17:50] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Univariate Explorative Data Analysis] [workshop 3 deel 2...] [2009-10-20 19:21:26] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Univariate Explorative Data Analysis] [workshop 3 deel 2...] [2009-10-20 19:40:24] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Variability] [workshop 3] [2009-10-20 20:20:10] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Variability] [workshop 3] [2009-10-20 20:23:54] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Central Tendency] [workshop 3] [2009-10-20 20:26:18] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Variability] [workshop 3] [2009-10-20 20:28:28] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Variability] [workshop 3] [2009-10-20 20:33:24] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Harrell-Davis Quantiles] [workshop 3] [2009-10-20 20:41:59] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Harrell-Davis Quantiles] [workshop 3] [2009-10-20 20:43:54] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Harrell-Davis Quantiles] [workshop 3] [2009-10-20 20:45:44] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Harrell-Davis Quantiles] [workshop 3] [2009-10-20 20:47:24] [309ee52d0058ff0a6f7eec15e07b2d9f]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87.28
87.28
87.09
86.92
87.59
90.72
90.69
90.3
89.55
88.94
88.41
87.82
87.07
86.82
86.4
86.02
85.66
85.32
85
84.67
83.94
82.83
81.95
81.19
80.48
78.86
69.47
68.77
70.06
73.95
75.8
77.79
81.57
83.07
84.34
85.1
85.25
84.26
83.63
86.44
85.3
84.1
83.36
82.48
81.58
80.47
79.34
82.13
81.69
80.7
79.88
79.16
78.38
77.42
76.47
75.46
74.48
78.27
80.7
79.91
78.75
77.78
81.14
81.08
80.03
78.91
78.01
76.9
75.97
81.93
80.27
78.67
77.42
76.16
74.7
76.39
76.04
74.65
73.29
71.79
74.39
74.91
74.54
73.08
72.75
71.32
70.38
70.35
70.01
69.36
67.77
69.26
69.8
68.38
67.62
68.39
66.95
65.21
66.64
63.45
60.66
62.34
60.32
58.64
60.46
58.59
61.87
61.85
67.44
77.06
91.74
93.15
94.15
93.11
91.51
89.96
88.16
86.98
88.03
86.24
84.65
83.23
81.7
80.25
78.8
77.51
76.2
75.04
74
75.49
77.14
76.15
76.27
78.19
76.49
77.31
76.65
74.99
73.51
72.07
70.59
71.96
76.29
74.86
74.93
71.9
71.01
77.47
75.78
76.6
76.07
74.57
73.02
72.65
73.16
71.53
69.78
67.98
69.96
72.16
70.47
68.86
67.37
65.87
72.16
71.34
69.93
68.44
67.16
66.01
67.25
70.91
69.75
68.59
67.48
66.31
64.81
66.58
65.97
64.7
64.7
60.94
59.08
58.42
57.77
57.11
53.31
49.96
49.4
48.84
48.3
47.74
47.24
46.76
46.29
48.9
49.23
48.53
48.03
54.34
53.79
53.24
52.96
52.17
51.7
58.55
78.2
77.03
76.19
77.15
75.87
95.47
109.67
112.28
112.01
107.93
105.96
105.06
102.98
102.2
105.23
101.85
99.89
96.23
94.76
91.51
91.63
91.54
85.23
87.83
87.38
84.44
85.19
84.03
86.73
102.52
104.45
106.98
107.02
99.26
94.45
113.44
157.33
147.38
171.89
171.95
132.71
126.02
121.18
115.45
110.48
117.85
117.63
124.65
109.59
111.27
99.78
98.21
99.2
97.97
89.55
87.91
93.34
94.42
93.2
90.29
91.46
89.98
88.35
88.41
82.44
79.89
75.69
75.66
84.5
96.73
87.48
82.39
83.48
79.31
78.16
72.77
72.45
68.46
67.62
68.76
70.07
68.55
65.3
58.96
59.17
62.37
66.28
55.62
55.23
55.85
56.75
50.89
53.88
52.95
55.08
53.61
58.78
61.85
55.91
53.32
46.41
44.57
50
50
53.36
46.23
50.45
49.07
45.85
48.45
49.96
46.53
50.51
47.58
48.05
46.84
47.67
49.16
55.54
55.82
58.22
56.19
57.77
63.19
54.76
55.74
62.54
61.39
69.6
79.23
80
93.68
107.63
100.18
97.3
90.45
80.64
80.58
75.82
85.59
89.35
89.42
104.73
95.32
89.27
90.44
86.97
79.98
81.22
87.35
83.64
82.22
94.4
102.18

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48138&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48138&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48138&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[44,46[4520.0055560.0055560.002778
[46,48[47100.0277780.0333330.013889
[48,50[49130.0361110.0694440.018056
[50,52[5160.0166670.0861110.008333
[52,54[53100.0277780.1138890.013889
[54,56[55100.0277780.1416670.013889
[56,58[5750.0138890.1555560.006944
[58,60[5990.0250.1805560.0125
[60,62[6180.0222220.2027780.011111
[62,64[6350.0138890.2166670.006944
[64,66[6570.0194440.2361110.009722
[66,68[67150.0416670.2777780.020833
[68,70[69180.050.3277780.025
[70,72[71150.0416670.3694440.020833
[72,74[73130.0361110.4055560.018056
[74,76[75210.0583330.4638890.029167
[76,78[77250.0694440.5333330.034722
[78,80[79190.0527780.5861110.026389
[80,82[81200.0555560.6416670.027778
[82,84[83130.0361110.6777780.018056
[84,86[85170.0472220.7250.023611
[86,88[87200.0555560.7805560.027778
[88,90[89130.0361110.8166670.018056
[90,92[91120.0333330.850.016667
[92,94[9350.0138890.8638890.006944
[94,96[9570.0194440.8833330.009722
[96,98[9740.0111110.8944440.005556
[98,100[9950.0138890.9083330.006944
[100,102[10120.0055560.9138890.002778
[102,104[10340.0111110.9250.005556
[104,106[10550.0138890.9388890.006944
[106,108[10740.0111110.950.005556
[108,110[10920.0055560.9555560.002778
[110,112[11120.0055560.9611110.002778
[112,114[11330.0083330.9694440.004167
[114,116[11510.0027780.9722220.001389
[116,118[11720.0055560.9777780.002778
[118,120[119000.9777780
[120,122[12110.0027780.9805560.001389
[122,124[123000.9805560
[124,126[12510.0027780.9833330.001389
[126,128[12710.0027780.9861110.001389
[128,130[129000.9861110
[130,132[131000.9861110
[132,134[13310.0027780.9888890.001389
[134,136[135000.9888890
[136,138[137000.9888890
[138,140[139000.9888890
[140,142[141000.9888890
[142,144[143000.9888890
[144,146[145000.9888890
[146,148[14710.0027780.9916670.001389
[148,150[149000.9916670
[150,152[151000.9916670
[152,154[153000.9916670
[154,156[155000.9916670
[156,158[15710.0027780.9944440.001389
[158,160[159000.9944440
[160,162[161000.9944440
[162,164[163000.9944440
[164,166[165000.9944440
[166,168[167000.9944440
[168,170[169000.9944440
[170,172]17120.00555610.002778

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[44,46[ & 45 & 2 & 0.005556 & 0.005556 & 0.002778 \tabularnewline
[46,48[ & 47 & 10 & 0.027778 & 0.033333 & 0.013889 \tabularnewline
[48,50[ & 49 & 13 & 0.036111 & 0.069444 & 0.018056 \tabularnewline
[50,52[ & 51 & 6 & 0.016667 & 0.086111 & 0.008333 \tabularnewline
[52,54[ & 53 & 10 & 0.027778 & 0.113889 & 0.013889 \tabularnewline
[54,56[ & 55 & 10 & 0.027778 & 0.141667 & 0.013889 \tabularnewline
[56,58[ & 57 & 5 & 0.013889 & 0.155556 & 0.006944 \tabularnewline
[58,60[ & 59 & 9 & 0.025 & 0.180556 & 0.0125 \tabularnewline
[60,62[ & 61 & 8 & 0.022222 & 0.202778 & 0.011111 \tabularnewline
[62,64[ & 63 & 5 & 0.013889 & 0.216667 & 0.006944 \tabularnewline
[64,66[ & 65 & 7 & 0.019444 & 0.236111 & 0.009722 \tabularnewline
[66,68[ & 67 & 15 & 0.041667 & 0.277778 & 0.020833 \tabularnewline
[68,70[ & 69 & 18 & 0.05 & 0.327778 & 0.025 \tabularnewline
[70,72[ & 71 & 15 & 0.041667 & 0.369444 & 0.020833 \tabularnewline
[72,74[ & 73 & 13 & 0.036111 & 0.405556 & 0.018056 \tabularnewline
[74,76[ & 75 & 21 & 0.058333 & 0.463889 & 0.029167 \tabularnewline
[76,78[ & 77 & 25 & 0.069444 & 0.533333 & 0.034722 \tabularnewline
[78,80[ & 79 & 19 & 0.052778 & 0.586111 & 0.026389 \tabularnewline
[80,82[ & 81 & 20 & 0.055556 & 0.641667 & 0.027778 \tabularnewline
[82,84[ & 83 & 13 & 0.036111 & 0.677778 & 0.018056 \tabularnewline
[84,86[ & 85 & 17 & 0.047222 & 0.725 & 0.023611 \tabularnewline
[86,88[ & 87 & 20 & 0.055556 & 0.780556 & 0.027778 \tabularnewline
[88,90[ & 89 & 13 & 0.036111 & 0.816667 & 0.018056 \tabularnewline
[90,92[ & 91 & 12 & 0.033333 & 0.85 & 0.016667 \tabularnewline
[92,94[ & 93 & 5 & 0.013889 & 0.863889 & 0.006944 \tabularnewline
[94,96[ & 95 & 7 & 0.019444 & 0.883333 & 0.009722 \tabularnewline
[96,98[ & 97 & 4 & 0.011111 & 0.894444 & 0.005556 \tabularnewline
[98,100[ & 99 & 5 & 0.013889 & 0.908333 & 0.006944 \tabularnewline
[100,102[ & 101 & 2 & 0.005556 & 0.913889 & 0.002778 \tabularnewline
[102,104[ & 103 & 4 & 0.011111 & 0.925 & 0.005556 \tabularnewline
[104,106[ & 105 & 5 & 0.013889 & 0.938889 & 0.006944 \tabularnewline
[106,108[ & 107 & 4 & 0.011111 & 0.95 & 0.005556 \tabularnewline
[108,110[ & 109 & 2 & 0.005556 & 0.955556 & 0.002778 \tabularnewline
[110,112[ & 111 & 2 & 0.005556 & 0.961111 & 0.002778 \tabularnewline
[112,114[ & 113 & 3 & 0.008333 & 0.969444 & 0.004167 \tabularnewline
[114,116[ & 115 & 1 & 0.002778 & 0.972222 & 0.001389 \tabularnewline
[116,118[ & 117 & 2 & 0.005556 & 0.977778 & 0.002778 \tabularnewline
[118,120[ & 119 & 0 & 0 & 0.977778 & 0 \tabularnewline
[120,122[ & 121 & 1 & 0.002778 & 0.980556 & 0.001389 \tabularnewline
[122,124[ & 123 & 0 & 0 & 0.980556 & 0 \tabularnewline
[124,126[ & 125 & 1 & 0.002778 & 0.983333 & 0.001389 \tabularnewline
[126,128[ & 127 & 1 & 0.002778 & 0.986111 & 0.001389 \tabularnewline
[128,130[ & 129 & 0 & 0 & 0.986111 & 0 \tabularnewline
[130,132[ & 131 & 0 & 0 & 0.986111 & 0 \tabularnewline
[132,134[ & 133 & 1 & 0.002778 & 0.988889 & 0.001389 \tabularnewline
[134,136[ & 135 & 0 & 0 & 0.988889 & 0 \tabularnewline
[136,138[ & 137 & 0 & 0 & 0.988889 & 0 \tabularnewline
[138,140[ & 139 & 0 & 0 & 0.988889 & 0 \tabularnewline
[140,142[ & 141 & 0 & 0 & 0.988889 & 0 \tabularnewline
[142,144[ & 143 & 0 & 0 & 0.988889 & 0 \tabularnewline
[144,146[ & 145 & 0 & 0 & 0.988889 & 0 \tabularnewline
[146,148[ & 147 & 1 & 0.002778 & 0.991667 & 0.001389 \tabularnewline
[148,150[ & 149 & 0 & 0 & 0.991667 & 0 \tabularnewline
[150,152[ & 151 & 0 & 0 & 0.991667 & 0 \tabularnewline
[152,154[ & 153 & 0 & 0 & 0.991667 & 0 \tabularnewline
[154,156[ & 155 & 0 & 0 & 0.991667 & 0 \tabularnewline
[156,158[ & 157 & 1 & 0.002778 & 0.994444 & 0.001389 \tabularnewline
[158,160[ & 159 & 0 & 0 & 0.994444 & 0 \tabularnewline
[160,162[ & 161 & 0 & 0 & 0.994444 & 0 \tabularnewline
[162,164[ & 163 & 0 & 0 & 0.994444 & 0 \tabularnewline
[164,166[ & 165 & 0 & 0 & 0.994444 & 0 \tabularnewline
[166,168[ & 167 & 0 & 0 & 0.994444 & 0 \tabularnewline
[168,170[ & 169 & 0 & 0 & 0.994444 & 0 \tabularnewline
[170,172] & 171 & 2 & 0.005556 & 1 & 0.002778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48138&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][44,46[[/C][C]45[/C][C]2[/C][C]0.005556[/C][C]0.005556[/C][C]0.002778[/C][/ROW]
[ROW][C][46,48[[/C][C]47[/C][C]10[/C][C]0.027778[/C][C]0.033333[/C][C]0.013889[/C][/ROW]
[ROW][C][48,50[[/C][C]49[/C][C]13[/C][C]0.036111[/C][C]0.069444[/C][C]0.018056[/C][/ROW]
[ROW][C][50,52[[/C][C]51[/C][C]6[/C][C]0.016667[/C][C]0.086111[/C][C]0.008333[/C][/ROW]
[ROW][C][52,54[[/C][C]53[/C][C]10[/C][C]0.027778[/C][C]0.113889[/C][C]0.013889[/C][/ROW]
[ROW][C][54,56[[/C][C]55[/C][C]10[/C][C]0.027778[/C][C]0.141667[/C][C]0.013889[/C][/ROW]
[ROW][C][56,58[[/C][C]57[/C][C]5[/C][C]0.013889[/C][C]0.155556[/C][C]0.006944[/C][/ROW]
[ROW][C][58,60[[/C][C]59[/C][C]9[/C][C]0.025[/C][C]0.180556[/C][C]0.0125[/C][/ROW]
[ROW][C][60,62[[/C][C]61[/C][C]8[/C][C]0.022222[/C][C]0.202778[/C][C]0.011111[/C][/ROW]
[ROW][C][62,64[[/C][C]63[/C][C]5[/C][C]0.013889[/C][C]0.216667[/C][C]0.006944[/C][/ROW]
[ROW][C][64,66[[/C][C]65[/C][C]7[/C][C]0.019444[/C][C]0.236111[/C][C]0.009722[/C][/ROW]
[ROW][C][66,68[[/C][C]67[/C][C]15[/C][C]0.041667[/C][C]0.277778[/C][C]0.020833[/C][/ROW]
[ROW][C][68,70[[/C][C]69[/C][C]18[/C][C]0.05[/C][C]0.327778[/C][C]0.025[/C][/ROW]
[ROW][C][70,72[[/C][C]71[/C][C]15[/C][C]0.041667[/C][C]0.369444[/C][C]0.020833[/C][/ROW]
[ROW][C][72,74[[/C][C]73[/C][C]13[/C][C]0.036111[/C][C]0.405556[/C][C]0.018056[/C][/ROW]
[ROW][C][74,76[[/C][C]75[/C][C]21[/C][C]0.058333[/C][C]0.463889[/C][C]0.029167[/C][/ROW]
[ROW][C][76,78[[/C][C]77[/C][C]25[/C][C]0.069444[/C][C]0.533333[/C][C]0.034722[/C][/ROW]
[ROW][C][78,80[[/C][C]79[/C][C]19[/C][C]0.052778[/C][C]0.586111[/C][C]0.026389[/C][/ROW]
[ROW][C][80,82[[/C][C]81[/C][C]20[/C][C]0.055556[/C][C]0.641667[/C][C]0.027778[/C][/ROW]
[ROW][C][82,84[[/C][C]83[/C][C]13[/C][C]0.036111[/C][C]0.677778[/C][C]0.018056[/C][/ROW]
[ROW][C][84,86[[/C][C]85[/C][C]17[/C][C]0.047222[/C][C]0.725[/C][C]0.023611[/C][/ROW]
[ROW][C][86,88[[/C][C]87[/C][C]20[/C][C]0.055556[/C][C]0.780556[/C][C]0.027778[/C][/ROW]
[ROW][C][88,90[[/C][C]89[/C][C]13[/C][C]0.036111[/C][C]0.816667[/C][C]0.018056[/C][/ROW]
[ROW][C][90,92[[/C][C]91[/C][C]12[/C][C]0.033333[/C][C]0.85[/C][C]0.016667[/C][/ROW]
[ROW][C][92,94[[/C][C]93[/C][C]5[/C][C]0.013889[/C][C]0.863889[/C][C]0.006944[/C][/ROW]
[ROW][C][94,96[[/C][C]95[/C][C]7[/C][C]0.019444[/C][C]0.883333[/C][C]0.009722[/C][/ROW]
[ROW][C][96,98[[/C][C]97[/C][C]4[/C][C]0.011111[/C][C]0.894444[/C][C]0.005556[/C][/ROW]
[ROW][C][98,100[[/C][C]99[/C][C]5[/C][C]0.013889[/C][C]0.908333[/C][C]0.006944[/C][/ROW]
[ROW][C][100,102[[/C][C]101[/C][C]2[/C][C]0.005556[/C][C]0.913889[/C][C]0.002778[/C][/ROW]
[ROW][C][102,104[[/C][C]103[/C][C]4[/C][C]0.011111[/C][C]0.925[/C][C]0.005556[/C][/ROW]
[ROW][C][104,106[[/C][C]105[/C][C]5[/C][C]0.013889[/C][C]0.938889[/C][C]0.006944[/C][/ROW]
[ROW][C][106,108[[/C][C]107[/C][C]4[/C][C]0.011111[/C][C]0.95[/C][C]0.005556[/C][/ROW]
[ROW][C][108,110[[/C][C]109[/C][C]2[/C][C]0.005556[/C][C]0.955556[/C][C]0.002778[/C][/ROW]
[ROW][C][110,112[[/C][C]111[/C][C]2[/C][C]0.005556[/C][C]0.961111[/C][C]0.002778[/C][/ROW]
[ROW][C][112,114[[/C][C]113[/C][C]3[/C][C]0.008333[/C][C]0.969444[/C][C]0.004167[/C][/ROW]
[ROW][C][114,116[[/C][C]115[/C][C]1[/C][C]0.002778[/C][C]0.972222[/C][C]0.001389[/C][/ROW]
[ROW][C][116,118[[/C][C]117[/C][C]2[/C][C]0.005556[/C][C]0.977778[/C][C]0.002778[/C][/ROW]
[ROW][C][118,120[[/C][C]119[/C][C]0[/C][C]0[/C][C]0.977778[/C][C]0[/C][/ROW]
[ROW][C][120,122[[/C][C]121[/C][C]1[/C][C]0.002778[/C][C]0.980556[/C][C]0.001389[/C][/ROW]
[ROW][C][122,124[[/C][C]123[/C][C]0[/C][C]0[/C][C]0.980556[/C][C]0[/C][/ROW]
[ROW][C][124,126[[/C][C]125[/C][C]1[/C][C]0.002778[/C][C]0.983333[/C][C]0.001389[/C][/ROW]
[ROW][C][126,128[[/C][C]127[/C][C]1[/C][C]0.002778[/C][C]0.986111[/C][C]0.001389[/C][/ROW]
[ROW][C][128,130[[/C][C]129[/C][C]0[/C][C]0[/C][C]0.986111[/C][C]0[/C][/ROW]
[ROW][C][130,132[[/C][C]131[/C][C]0[/C][C]0[/C][C]0.986111[/C][C]0[/C][/ROW]
[ROW][C][132,134[[/C][C]133[/C][C]1[/C][C]0.002778[/C][C]0.988889[/C][C]0.001389[/C][/ROW]
[ROW][C][134,136[[/C][C]135[/C][C]0[/C][C]0[/C][C]0.988889[/C][C]0[/C][/ROW]
[ROW][C][136,138[[/C][C]137[/C][C]0[/C][C]0[/C][C]0.988889[/C][C]0[/C][/ROW]
[ROW][C][138,140[[/C][C]139[/C][C]0[/C][C]0[/C][C]0.988889[/C][C]0[/C][/ROW]
[ROW][C][140,142[[/C][C]141[/C][C]0[/C][C]0[/C][C]0.988889[/C][C]0[/C][/ROW]
[ROW][C][142,144[[/C][C]143[/C][C]0[/C][C]0[/C][C]0.988889[/C][C]0[/C][/ROW]
[ROW][C][144,146[[/C][C]145[/C][C]0[/C][C]0[/C][C]0.988889[/C][C]0[/C][/ROW]
[ROW][C][146,148[[/C][C]147[/C][C]1[/C][C]0.002778[/C][C]0.991667[/C][C]0.001389[/C][/ROW]
[ROW][C][148,150[[/C][C]149[/C][C]0[/C][C]0[/C][C]0.991667[/C][C]0[/C][/ROW]
[ROW][C][150,152[[/C][C]151[/C][C]0[/C][C]0[/C][C]0.991667[/C][C]0[/C][/ROW]
[ROW][C][152,154[[/C][C]153[/C][C]0[/C][C]0[/C][C]0.991667[/C][C]0[/C][/ROW]
[ROW][C][154,156[[/C][C]155[/C][C]0[/C][C]0[/C][C]0.991667[/C][C]0[/C][/ROW]
[ROW][C][156,158[[/C][C]157[/C][C]1[/C][C]0.002778[/C][C]0.994444[/C][C]0.001389[/C][/ROW]
[ROW][C][158,160[[/C][C]159[/C][C]0[/C][C]0[/C][C]0.994444[/C][C]0[/C][/ROW]
[ROW][C][160,162[[/C][C]161[/C][C]0[/C][C]0[/C][C]0.994444[/C][C]0[/C][/ROW]
[ROW][C][162,164[[/C][C]163[/C][C]0[/C][C]0[/C][C]0.994444[/C][C]0[/C][/ROW]
[ROW][C][164,166[[/C][C]165[/C][C]0[/C][C]0[/C][C]0.994444[/C][C]0[/C][/ROW]
[ROW][C][166,168[[/C][C]167[/C][C]0[/C][C]0[/C][C]0.994444[/C][C]0[/C][/ROW]
[ROW][C][168,170[[/C][C]169[/C][C]0[/C][C]0[/C][C]0.994444[/C][C]0[/C][/ROW]
[ROW][C][170,172][/C][C]171[/C][C]2[/C][C]0.005556[/C][C]1[/C][C]0.002778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48138&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48138&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
[44,46[4520.0055560.0055560.002778
[46,48[47100.0277780.0333330.013889
[48,50[49130.0361110.0694440.018056
[50,52[5160.0166670.0861110.008333
[52,54[53100.0277780.1138890.013889
[54,56[55100.0277780.1416670.013889
[56,58[5750.0138890.1555560.006944
[58,60[5990.0250.1805560.0125
[60,62[6180.0222220.2027780.011111
[62,64[6350.0138890.2166670.006944
[64,66[6570.0194440.2361110.009722
[66,68[67150.0416670.2777780.020833
[68,70[69180.050.3277780.025
[70,72[71150.0416670.3694440.020833
[72,74[73130.0361110.4055560.018056
[74,76[75210.0583330.4638890.029167
[76,78[77250.0694440.5333330.034722
[78,80[79190.0527780.5861110.026389
[80,82[81200.0555560.6416670.027778
[82,84[83130.0361110.6777780.018056
[84,86[85170.0472220.7250.023611
[86,88[87200.0555560.7805560.027778
[88,90[89130.0361110.8166670.018056
[90,92[91120.0333330.850.016667
[92,94[9350.0138890.8638890.006944
[94,96[9570.0194440.8833330.009722
[96,98[9740.0111110.8944440.005556
[98,100[9950.0138890.9083330.006944
[100,102[10120.0055560.9138890.002778
[102,104[10340.0111110.9250.005556
[104,106[10550.0138890.9388890.006944
[106,108[10740.0111110.950.005556
[108,110[10920.0055560.9555560.002778
[110,112[11120.0055560.9611110.002778
[112,114[11330.0083330.9694440.004167
[114,116[11510.0027780.9722220.001389
[116,118[11720.0055560.9777780.002778
[118,120[119000.9777780
[120,122[12110.0027780.9805560.001389
[122,124[123000.9805560
[124,126[12510.0027780.9833330.001389
[126,128[12710.0027780.9861110.001389
[128,130[129000.9861110
[130,132[131000.9861110
[132,134[13310.0027780.9888890.001389
[134,136[135000.9888890
[136,138[137000.9888890
[138,140[139000.9888890
[140,142[141000.9888890
[142,144[143000.9888890
[144,146[145000.9888890
[146,148[14710.0027780.9916670.001389
[148,150[149000.9916670
[150,152[151000.9916670
[152,154[153000.9916670
[154,156[155000.9916670
[156,158[15710.0027780.9944440.001389
[158,160[159000.9944440
[160,162[161000.9944440
[162,164[163000.9944440
[164,166[165000.9944440
[166,168[167000.9944440
[168,170[169000.9944440
[170,172]17120.00555610.002778


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 50 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 50 ; 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.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)
}
dev.off()
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')