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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 24 Jul 2013 16:15:30 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Jul/24/t13746972312x87npelego75c6.htm/, Retrieved Mon, 29 Apr 2024 00:49:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210815, Retrieved Mon, 29 Apr 2024 00:49:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact178

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [tu berlin lina1 k...] [2012-07-11 21:49:14] [74be16979710d4c4e7c6647856088456]
- R  D    [Histogram] [TU Berlin CoMa-Mo...] [2013-07-24 20:15:30] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- R PD      [Histogram] [TU Berlin CoMa-Mo...] [2013-07-24 20:27:08] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
31.5
42
0
33
66.5
37.5
42.5
24
49
53.5
38
41
37
39.5
43.5
37
42
32
52.5
48
42.5
37
26.5
53.5
56
44
26.5
59
37.5
56.5
20
34
55.5
43
36
44
40.5
52.5
28.5
52.5
51.5
36
40
38
30
66.5
21
36.5
40.5
59.5
54.5
42
48.5
30.5
60.5
59
30.5
30
44
39.5
42
65.5
31.5
36
54.5
50.5
49
48
35.5
37
63
41
41.5
14.5
36.5
44.5
37.5
55.5
47
44.5
45
63
35
45.5
42
30
34
45
28
49.5
42.5
41.5
68
35.5
31
33.5
55.5
43.5
30
26.5
56.5
53
50
45
48
40.5
37
41.5
51.5
32
46.5
57
24.5
51.5
43
61
29
4
45
54
42
33
0
31
52.5
0
56
41

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210815&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210815&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210815&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,1[0.530.0234380.0234380.023438
[1,2[1.5000.0234380
[2,3[2.5000.0234380
[3,4[3.5000.0234380
[4,5[4.510.0078120.031250.007812
[5,6[5.5000.031250
[6,7[6.5000.031250
[7,8[7.5000.031250
[8,9[8.5000.031250
[9,10[9.5000.031250
[10,11[10.5000.031250
[11,12[11.5000.031250
[12,13[12.5000.031250
[13,14[13.5000.031250
[14,15[14.510.0078120.0390620.007812
[15,16[15.5000.0390620
[16,17[16.5000.0390620
[17,18[17.5000.0390620
[18,19[18.5000.0390620
[19,20[19.5000.0390620
[20,21[20.510.0078120.0468750.007812
[21,22[21.510.0078120.0546880.007812
[22,23[22.5000.0546880
[23,24[23.5000.0546880
[24,25[24.520.0156250.0703120.015625
[25,26[25.5000.0703120
[26,27[26.530.0234380.093750.023438
[27,28[27.5000.093750
[28,29[28.520.0156250.1093750.015625
[29,30[29.510.0078120.1171880.007812
[30,31[30.560.0468750.1640620.046875
[31,32[31.540.031250.1953120.03125
[32,33[32.520.0156250.2109380.015625
[33,34[33.530.0234380.2343750.023438
[34,35[34.520.0156250.250.015625
[35,36[35.530.0234380.2734380.023438
[36,37[36.550.0390620.31250.039062
[37,38[37.580.06250.3750.0625
[38,39[38.520.0156250.3906250.015625
[39,40[39.520.0156250.406250.015625
[40,41[40.540.031250.43750.03125
[41,42[41.560.0468750.4843750.046875
[42,43[42.590.0703120.5546880.070312
[43,44[43.540.031250.5859380.03125
[44,45[44.550.0390620.6250.039062
[45,46[45.550.0390620.6640620.039062
[46,47[46.510.0078120.6718750.007812
[47,48[47.510.0078120.6796880.007812
[48,49[48.540.031250.7109380.03125
[49,50[49.530.0234380.7343750.023438
[50,51[50.520.0156250.750.015625
[51,52[51.530.0234380.7734380.023438
[52,53[52.540.031250.8046880.03125
[53,54[53.530.0234380.8281250.023438
[54,55[54.530.0234380.8515620.023438
[55,56[55.530.0234380.8750.023438
[56,57[56.540.031250.906250.03125
[57,58[57.510.0078120.9140620.007812
[58,59[58.5000.9140620
[59,60[59.530.0234380.93750.023438
[60,61[60.510.0078120.9453120.007812
[61,62[61.510.0078120.9531250.007812
[62,63[62.5000.9531250
[63,64[63.520.0156250.968750.015625
[64,65[64.5000.968750
[65,66[65.510.0078120.9765620.007812
[66,67[66.520.0156250.9921880.015625
[67,68]67.510.00781210.007812

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,1[ & 0.5 & 3 & 0.023438 & 0.023438 & 0.023438 \tabularnewline
[1,2[ & 1.5 & 0 & 0 & 0.023438 & 0 \tabularnewline
[2,3[ & 2.5 & 0 & 0 & 0.023438 & 0 \tabularnewline
[3,4[ & 3.5 & 0 & 0 & 0.023438 & 0 \tabularnewline
[4,5[ & 4.5 & 1 & 0.007812 & 0.03125 & 0.007812 \tabularnewline
[5,6[ & 5.5 & 0 & 0 & 0.03125 & 0 \tabularnewline
[6,7[ & 6.5 & 0 & 0 & 0.03125 & 0 \tabularnewline
[7,8[ & 7.5 & 0 & 0 & 0.03125 & 0 \tabularnewline
[8,9[ & 8.5 & 0 & 0 & 0.03125 & 0 \tabularnewline
[9,10[ & 9.5 & 0 & 0 & 0.03125 & 0 \tabularnewline
[10,11[ & 10.5 & 0 & 0 & 0.03125 & 0 \tabularnewline
[11,12[ & 11.5 & 0 & 0 & 0.03125 & 0 \tabularnewline
[12,13[ & 12.5 & 0 & 0 & 0.03125 & 0 \tabularnewline
[13,14[ & 13.5 & 0 & 0 & 0.03125 & 0 \tabularnewline
[14,15[ & 14.5 & 1 & 0.007812 & 0.039062 & 0.007812 \tabularnewline
[15,16[ & 15.5 & 0 & 0 & 0.039062 & 0 \tabularnewline
[16,17[ & 16.5 & 0 & 0 & 0.039062 & 0 \tabularnewline
[17,18[ & 17.5 & 0 & 0 & 0.039062 & 0 \tabularnewline
[18,19[ & 18.5 & 0 & 0 & 0.039062 & 0 \tabularnewline
[19,20[ & 19.5 & 0 & 0 & 0.039062 & 0 \tabularnewline
[20,21[ & 20.5 & 1 & 0.007812 & 0.046875 & 0.007812 \tabularnewline
[21,22[ & 21.5 & 1 & 0.007812 & 0.054688 & 0.007812 \tabularnewline
[22,23[ & 22.5 & 0 & 0 & 0.054688 & 0 \tabularnewline
[23,24[ & 23.5 & 0 & 0 & 0.054688 & 0 \tabularnewline
[24,25[ & 24.5 & 2 & 0.015625 & 0.070312 & 0.015625 \tabularnewline
[25,26[ & 25.5 & 0 & 0 & 0.070312 & 0 \tabularnewline
[26,27[ & 26.5 & 3 & 0.023438 & 0.09375 & 0.023438 \tabularnewline
[27,28[ & 27.5 & 0 & 0 & 0.09375 & 0 \tabularnewline
[28,29[ & 28.5 & 2 & 0.015625 & 0.109375 & 0.015625 \tabularnewline
[29,30[ & 29.5 & 1 & 0.007812 & 0.117188 & 0.007812 \tabularnewline
[30,31[ & 30.5 & 6 & 0.046875 & 0.164062 & 0.046875 \tabularnewline
[31,32[ & 31.5 & 4 & 0.03125 & 0.195312 & 0.03125 \tabularnewline
[32,33[ & 32.5 & 2 & 0.015625 & 0.210938 & 0.015625 \tabularnewline
[33,34[ & 33.5 & 3 & 0.023438 & 0.234375 & 0.023438 \tabularnewline
[34,35[ & 34.5 & 2 & 0.015625 & 0.25 & 0.015625 \tabularnewline
[35,36[ & 35.5 & 3 & 0.023438 & 0.273438 & 0.023438 \tabularnewline
[36,37[ & 36.5 & 5 & 0.039062 & 0.3125 & 0.039062 \tabularnewline
[37,38[ & 37.5 & 8 & 0.0625 & 0.375 & 0.0625 \tabularnewline
[38,39[ & 38.5 & 2 & 0.015625 & 0.390625 & 0.015625 \tabularnewline
[39,40[ & 39.5 & 2 & 0.015625 & 0.40625 & 0.015625 \tabularnewline
[40,41[ & 40.5 & 4 & 0.03125 & 0.4375 & 0.03125 \tabularnewline
[41,42[ & 41.5 & 6 & 0.046875 & 0.484375 & 0.046875 \tabularnewline
[42,43[ & 42.5 & 9 & 0.070312 & 0.554688 & 0.070312 \tabularnewline
[43,44[ & 43.5 & 4 & 0.03125 & 0.585938 & 0.03125 \tabularnewline
[44,45[ & 44.5 & 5 & 0.039062 & 0.625 & 0.039062 \tabularnewline
[45,46[ & 45.5 & 5 & 0.039062 & 0.664062 & 0.039062 \tabularnewline
[46,47[ & 46.5 & 1 & 0.007812 & 0.671875 & 0.007812 \tabularnewline
[47,48[ & 47.5 & 1 & 0.007812 & 0.679688 & 0.007812 \tabularnewline
[48,49[ & 48.5 & 4 & 0.03125 & 0.710938 & 0.03125 \tabularnewline
[49,50[ & 49.5 & 3 & 0.023438 & 0.734375 & 0.023438 \tabularnewline
[50,51[ & 50.5 & 2 & 0.015625 & 0.75 & 0.015625 \tabularnewline
[51,52[ & 51.5 & 3 & 0.023438 & 0.773438 & 0.023438 \tabularnewline
[52,53[ & 52.5 & 4 & 0.03125 & 0.804688 & 0.03125 \tabularnewline
[53,54[ & 53.5 & 3 & 0.023438 & 0.828125 & 0.023438 \tabularnewline
[54,55[ & 54.5 & 3 & 0.023438 & 0.851562 & 0.023438 \tabularnewline
[55,56[ & 55.5 & 3 & 0.023438 & 0.875 & 0.023438 \tabularnewline
[56,57[ & 56.5 & 4 & 0.03125 & 0.90625 & 0.03125 \tabularnewline
[57,58[ & 57.5 & 1 & 0.007812 & 0.914062 & 0.007812 \tabularnewline
[58,59[ & 58.5 & 0 & 0 & 0.914062 & 0 \tabularnewline
[59,60[ & 59.5 & 3 & 0.023438 & 0.9375 & 0.023438 \tabularnewline
[60,61[ & 60.5 & 1 & 0.007812 & 0.945312 & 0.007812 \tabularnewline
[61,62[ & 61.5 & 1 & 0.007812 & 0.953125 & 0.007812 \tabularnewline
[62,63[ & 62.5 & 0 & 0 & 0.953125 & 0 \tabularnewline
[63,64[ & 63.5 & 2 & 0.015625 & 0.96875 & 0.015625 \tabularnewline
[64,65[ & 64.5 & 0 & 0 & 0.96875 & 0 \tabularnewline
[65,66[ & 65.5 & 1 & 0.007812 & 0.976562 & 0.007812 \tabularnewline
[66,67[ & 66.5 & 2 & 0.015625 & 0.992188 & 0.015625 \tabularnewline
[67,68] & 67.5 & 1 & 0.007812 & 1 & 0.007812 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210815&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][0,1[[/C][C]0.5[/C][C]3[/C][C]0.023438[/C][C]0.023438[/C][C]0.023438[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]0[/C][C]0[/C][C]0.023438[/C][C]0[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]0[/C][C]0[/C][C]0.023438[/C][C]0[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]0[/C][C]0[/C][C]0.023438[/C][C]0[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]1[/C][C]0.007812[/C][C]0.03125[/C][C]0.007812[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]0[/C][C]0[/C][C]0.03125[/C][C]0[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]0[/C][C]0[/C][C]0.03125[/C][C]0[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]0[/C][C]0[/C][C]0.03125[/C][C]0[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]0[/C][C]0[/C][C]0.03125[/C][C]0[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]0[/C][C]0[/C][C]0.03125[/C][C]0[/C][/ROW]
[ROW][C][10,11[[/C][C]10.5[/C][C]0[/C][C]0[/C][C]0.03125[/C][C]0[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]0[/C][C]0[/C][C]0.03125[/C][C]0[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]0[/C][C]0[/C][C]0.03125[/C][C]0[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]0[/C][C]0[/C][C]0.03125[/C][C]0[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]1[/C][C]0.007812[/C][C]0.039062[/C][C]0.007812[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]0[/C][C]0[/C][C]0.039062[/C][C]0[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]0[/C][C]0[/C][C]0.039062[/C][C]0[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]0[/C][C]0[/C][C]0.039062[/C][C]0[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]0[/C][C]0[/C][C]0.039062[/C][C]0[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]0[/C][C]0[/C][C]0.039062[/C][C]0[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]1[/C][C]0.007812[/C][C]0.046875[/C][C]0.007812[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]1[/C][C]0.007812[/C][C]0.054688[/C][C]0.007812[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]0[/C][C]0[/C][C]0.054688[/C][C]0[/C][/ROW]
[ROW][C][23,24[[/C][C]23.5[/C][C]0[/C][C]0[/C][C]0.054688[/C][C]0[/C][/ROW]
[ROW][C][24,25[[/C][C]24.5[/C][C]2[/C][C]0.015625[/C][C]0.070312[/C][C]0.015625[/C][/ROW]
[ROW][C][25,26[[/C][C]25.5[/C][C]0[/C][C]0[/C][C]0.070312[/C][C]0[/C][/ROW]
[ROW][C][26,27[[/C][C]26.5[/C][C]3[/C][C]0.023438[/C][C]0.09375[/C][C]0.023438[/C][/ROW]
[ROW][C][27,28[[/C][C]27.5[/C][C]0[/C][C]0[/C][C]0.09375[/C][C]0[/C][/ROW]
[ROW][C][28,29[[/C][C]28.5[/C][C]2[/C][C]0.015625[/C][C]0.109375[/C][C]0.015625[/C][/ROW]
[ROW][C][29,30[[/C][C]29.5[/C][C]1[/C][C]0.007812[/C][C]0.117188[/C][C]0.007812[/C][/ROW]
[ROW][C][30,31[[/C][C]30.5[/C][C]6[/C][C]0.046875[/C][C]0.164062[/C][C]0.046875[/C][/ROW]
[ROW][C][31,32[[/C][C]31.5[/C][C]4[/C][C]0.03125[/C][C]0.195312[/C][C]0.03125[/C][/ROW]
[ROW][C][32,33[[/C][C]32.5[/C][C]2[/C][C]0.015625[/C][C]0.210938[/C][C]0.015625[/C][/ROW]
[ROW][C][33,34[[/C][C]33.5[/C][C]3[/C][C]0.023438[/C][C]0.234375[/C][C]0.023438[/C][/ROW]
[ROW][C][34,35[[/C][C]34.5[/C][C]2[/C][C]0.015625[/C][C]0.25[/C][C]0.015625[/C][/ROW]
[ROW][C][35,36[[/C][C]35.5[/C][C]3[/C][C]0.023438[/C][C]0.273438[/C][C]0.023438[/C][/ROW]
[ROW][C][36,37[[/C][C]36.5[/C][C]5[/C][C]0.039062[/C][C]0.3125[/C][C]0.039062[/C][/ROW]
[ROW][C][37,38[[/C][C]37.5[/C][C]8[/C][C]0.0625[/C][C]0.375[/C][C]0.0625[/C][/ROW]
[ROW][C][38,39[[/C][C]38.5[/C][C]2[/C][C]0.015625[/C][C]0.390625[/C][C]0.015625[/C][/ROW]
[ROW][C][39,40[[/C][C]39.5[/C][C]2[/C][C]0.015625[/C][C]0.40625[/C][C]0.015625[/C][/ROW]
[ROW][C][40,41[[/C][C]40.5[/C][C]4[/C][C]0.03125[/C][C]0.4375[/C][C]0.03125[/C][/ROW]
[ROW][C][41,42[[/C][C]41.5[/C][C]6[/C][C]0.046875[/C][C]0.484375[/C][C]0.046875[/C][/ROW]
[ROW][C][42,43[[/C][C]42.5[/C][C]9[/C][C]0.070312[/C][C]0.554688[/C][C]0.070312[/C][/ROW]
[ROW][C][43,44[[/C][C]43.5[/C][C]4[/C][C]0.03125[/C][C]0.585938[/C][C]0.03125[/C][/ROW]
[ROW][C][44,45[[/C][C]44.5[/C][C]5[/C][C]0.039062[/C][C]0.625[/C][C]0.039062[/C][/ROW]
[ROW][C][45,46[[/C][C]45.5[/C][C]5[/C][C]0.039062[/C][C]0.664062[/C][C]0.039062[/C][/ROW]
[ROW][C][46,47[[/C][C]46.5[/C][C]1[/C][C]0.007812[/C][C]0.671875[/C][C]0.007812[/C][/ROW]
[ROW][C][47,48[[/C][C]47.5[/C][C]1[/C][C]0.007812[/C][C]0.679688[/C][C]0.007812[/C][/ROW]
[ROW][C][48,49[[/C][C]48.5[/C][C]4[/C][C]0.03125[/C][C]0.710938[/C][C]0.03125[/C][/ROW]
[ROW][C][49,50[[/C][C]49.5[/C][C]3[/C][C]0.023438[/C][C]0.734375[/C][C]0.023438[/C][/ROW]
[ROW][C][50,51[[/C][C]50.5[/C][C]2[/C][C]0.015625[/C][C]0.75[/C][C]0.015625[/C][/ROW]
[ROW][C][51,52[[/C][C]51.5[/C][C]3[/C][C]0.023438[/C][C]0.773438[/C][C]0.023438[/C][/ROW]
[ROW][C][52,53[[/C][C]52.5[/C][C]4[/C][C]0.03125[/C][C]0.804688[/C][C]0.03125[/C][/ROW]
[ROW][C][53,54[[/C][C]53.5[/C][C]3[/C][C]0.023438[/C][C]0.828125[/C][C]0.023438[/C][/ROW]
[ROW][C][54,55[[/C][C]54.5[/C][C]3[/C][C]0.023438[/C][C]0.851562[/C][C]0.023438[/C][/ROW]
[ROW][C][55,56[[/C][C]55.5[/C][C]3[/C][C]0.023438[/C][C]0.875[/C][C]0.023438[/C][/ROW]
[ROW][C][56,57[[/C][C]56.5[/C][C]4[/C][C]0.03125[/C][C]0.90625[/C][C]0.03125[/C][/ROW]
[ROW][C][57,58[[/C][C]57.5[/C][C]1[/C][C]0.007812[/C][C]0.914062[/C][C]0.007812[/C][/ROW]
[ROW][C][58,59[[/C][C]58.5[/C][C]0[/C][C]0[/C][C]0.914062[/C][C]0[/C][/ROW]
[ROW][C][59,60[[/C][C]59.5[/C][C]3[/C][C]0.023438[/C][C]0.9375[/C][C]0.023438[/C][/ROW]
[ROW][C][60,61[[/C][C]60.5[/C][C]1[/C][C]0.007812[/C][C]0.945312[/C][C]0.007812[/C][/ROW]
[ROW][C][61,62[[/C][C]61.5[/C][C]1[/C][C]0.007812[/C][C]0.953125[/C][C]0.007812[/C][/ROW]
[ROW][C][62,63[[/C][C]62.5[/C][C]0[/C][C]0[/C][C]0.953125[/C][C]0[/C][/ROW]
[ROW][C][63,64[[/C][C]63.5[/C][C]2[/C][C]0.015625[/C][C]0.96875[/C][C]0.015625[/C][/ROW]
[ROW][C][64,65[[/C][C]64.5[/C][C]0[/C][C]0[/C][C]0.96875[/C][C]0[/C][/ROW]
[ROW][C][65,66[[/C][C]65.5[/C][C]1[/C][C]0.007812[/C][C]0.976562[/C][C]0.007812[/C][/ROW]
[ROW][C][66,67[[/C][C]66.5[/C][C]2[/C][C]0.015625[/C][C]0.992188[/C][C]0.015625[/C][/ROW]
[ROW][C][67,68][/C][C]67.5[/C][C]1[/C][C]0.007812[/C][C]1[/C][C]0.007812[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210815&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210815&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
[0,1[0.530.0234380.0234380.023438
[1,2[1.5000.0234380
[2,3[2.5000.0234380
[3,4[3.5000.0234380
[4,5[4.510.0078120.031250.007812
[5,6[5.5000.031250
[6,7[6.5000.031250
[7,8[7.5000.031250
[8,9[8.5000.031250
[9,10[9.5000.031250
[10,11[10.5000.031250
[11,12[11.5000.031250
[12,13[12.5000.031250
[13,14[13.5000.031250
[14,15[14.510.0078120.0390620.007812
[15,16[15.5000.0390620
[16,17[16.5000.0390620
[17,18[17.5000.0390620
[18,19[18.5000.0390620
[19,20[19.5000.0390620
[20,21[20.510.0078120.0468750.007812
[21,22[21.510.0078120.0546880.007812
[22,23[22.5000.0546880
[23,24[23.5000.0546880
[24,25[24.520.0156250.0703120.015625
[25,26[25.5000.0703120
[26,27[26.530.0234380.093750.023438
[27,28[27.5000.093750
[28,29[28.520.0156250.1093750.015625
[29,30[29.510.0078120.1171880.007812
[30,31[30.560.0468750.1640620.046875
[31,32[31.540.031250.1953120.03125
[32,33[32.520.0156250.2109380.015625
[33,34[33.530.0234380.2343750.023438
[34,35[34.520.0156250.250.015625
[35,36[35.530.0234380.2734380.023438
[36,37[36.550.0390620.31250.039062
[37,38[37.580.06250.3750.0625
[38,39[38.520.0156250.3906250.015625
[39,40[39.520.0156250.406250.015625
[40,41[40.540.031250.43750.03125
[41,42[41.560.0468750.4843750.046875
[42,43[42.590.0703120.5546880.070312
[43,44[43.540.031250.5859380.03125
[44,45[44.550.0390620.6250.039062
[45,46[45.550.0390620.6640620.039062
[46,47[46.510.0078120.6718750.007812
[47,48[47.510.0078120.6796880.007812
[48,49[48.540.031250.7109380.03125
[49,50[49.530.0234380.7343750.023438
[50,51[50.520.0156250.750.015625
[51,52[51.530.0234380.7734380.023438
[52,53[52.540.031250.8046880.03125
[53,54[53.530.0234380.8281250.023438
[54,55[54.530.0234380.8515620.023438
[55,56[55.530.0234380.8750.023438
[56,57[56.540.031250.906250.03125
[57,58[57.510.0078120.9140620.007812
[58,59[58.5000.9140620
[59,60[59.530.0234380.93750.023438
[60,61[60.510.0078120.9453120.007812
[61,62[61.510.0078120.9531250.007812
[62,63[62.5000.9531250
[63,64[63.520.0156250.968750.015625
[64,65[64.5000.968750
[65,66[65.510.0078120.9765620.007812
[66,67[66.520.0156250.9921880.015625
[67,68]67.510.00781210.007812


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 50 ; par2 = red ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 50 ; par2 = red ; 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')
}