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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 computationSun, 06 Jun 2010 15:38:28 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Jun/06/t1275838822n9jzo5t32hpn5it.htm/, Retrieved Sun, 28 Apr 2024 00:36:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77723, Retrieved Sun, 28 Apr 2024 00:36:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W21
Estimated Impact110

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Opgave 2 Oefening...] [2010-06-06 15:38:28] [34263fab9f5cb36527ee09db35ec405d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8
10
10
13
14
12
11
8
8
10
10
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12
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7
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14
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15
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1
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57
12
10
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16
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10
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8
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28
10
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14
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99
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6
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5
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99
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17
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13
8
12
14
10
10
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16
12
10
10
99
8
11
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11
10
20
9
14
12
10
12
10
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8
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12
10
99
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2
10
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88
9
12
14
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7
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1
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15
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1
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15
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8
10
8
8
14
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15
12
12
9
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9
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15
8
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14
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7
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70
12
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50
9
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7
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10
10
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6
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15
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10
9
10
10
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8
10
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15
10
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15
10
9
12
99
10
10
11
11
12
12
14
12
14
9
10
12
13
10
11
10
12
12
12
13
14
9
10
10
12
12
10
99
8
99
12
99
12
10
12
10
12
12
12
10
12
12
10
10
12
99
12
12
9
99
12
12
9
12
12
12
15
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12
12
8
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10
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99
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99
10
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5
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99
9
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12

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77723&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77723&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77723&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'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,2[130.0034970.0034970.001748
[2,4[310.0011660.0046620.000583
[4,6[530.0034970.0081590.001748
[6,8[7300.0349650.0431240.017483
[8,10[91660.1934730.2365970.096737
[10,12[112580.3006990.5372960.15035
[12,14[133120.3636360.9009320.181818
[14,16[15580.0675990.9685310.0338
[16,18[1760.0069930.9755240.003497
[18,20[1920.0023310.9778550.001166
[20,22[2110.0011660.9790210.000583
[22,24[23000.9790210
[24,26[25000.9790210
[26,28[27000.9790210
[28,30[2910.0011660.9801860.000583
[30,32[31000.9801860
[32,34[33000.9801860
[34,36[35000.9801860
[36,38[37000.9801860
[38,40[39000.9801860
[40,42[41000.9801860
[42,44[43000.9801860
[44,46[45000.9801860
[46,48[47000.9801860
[48,50[49000.9801860
[50,52[5110.0011660.9813520.000583
[52,54[53000.9813520
[54,56[55000.9813520
[56,58[5710.0011660.9825170.000583
[58,60[59000.9825170
[60,62[61000.9825170
[62,64[63000.9825170
[64,66[65000.9825170
[66,68[67000.9825170
[68,70[69000.9825170
[70,72[7110.0011660.9836830.000583
[72,74[73000.9836830
[74,76[75000.9836830
[76,78[77000.9836830
[78,80[79000.9836830
[80,82[81000.9836830
[82,84[83000.9836830
[84,86[85000.9836830
[86,88[87000.9836830
[88,90[8910.0011660.9848480.000583
[90,92[91000.9848480
[92,94[93000.9848480
[94,96[95000.9848480
[96,98[97000.9848480
[98,100]99130.01515210.007576

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,2[ & 1 & 3 & 0.003497 & 0.003497 & 0.001748 \tabularnewline
[2,4[ & 3 & 1 & 0.001166 & 0.004662 & 0.000583 \tabularnewline
[4,6[ & 5 & 3 & 0.003497 & 0.008159 & 0.001748 \tabularnewline
[6,8[ & 7 & 30 & 0.034965 & 0.043124 & 0.017483 \tabularnewline
[8,10[ & 9 & 166 & 0.193473 & 0.236597 & 0.096737 \tabularnewline
[10,12[ & 11 & 258 & 0.300699 & 0.537296 & 0.15035 \tabularnewline
[12,14[ & 13 & 312 & 0.363636 & 0.900932 & 0.181818 \tabularnewline
[14,16[ & 15 & 58 & 0.067599 & 0.968531 & 0.0338 \tabularnewline
[16,18[ & 17 & 6 & 0.006993 & 0.975524 & 0.003497 \tabularnewline
[18,20[ & 19 & 2 & 0.002331 & 0.977855 & 0.001166 \tabularnewline
[20,22[ & 21 & 1 & 0.001166 & 0.979021 & 0.000583 \tabularnewline
[22,24[ & 23 & 0 & 0 & 0.979021 & 0 \tabularnewline
[24,26[ & 25 & 0 & 0 & 0.979021 & 0 \tabularnewline
[26,28[ & 27 & 0 & 0 & 0.979021 & 0 \tabularnewline
[28,30[ & 29 & 1 & 0.001166 & 0.980186 & 0.000583 \tabularnewline
[30,32[ & 31 & 0 & 0 & 0.980186 & 0 \tabularnewline
[32,34[ & 33 & 0 & 0 & 0.980186 & 0 \tabularnewline
[34,36[ & 35 & 0 & 0 & 0.980186 & 0 \tabularnewline
[36,38[ & 37 & 0 & 0 & 0.980186 & 0 \tabularnewline
[38,40[ & 39 & 0 & 0 & 0.980186 & 0 \tabularnewline
[40,42[ & 41 & 0 & 0 & 0.980186 & 0 \tabularnewline
[42,44[ & 43 & 0 & 0 & 0.980186 & 0 \tabularnewline
[44,46[ & 45 & 0 & 0 & 0.980186 & 0 \tabularnewline
[46,48[ & 47 & 0 & 0 & 0.980186 & 0 \tabularnewline
[48,50[ & 49 & 0 & 0 & 0.980186 & 0 \tabularnewline
[50,52[ & 51 & 1 & 0.001166 & 0.981352 & 0.000583 \tabularnewline
[52,54[ & 53 & 0 & 0 & 0.981352 & 0 \tabularnewline
[54,56[ & 55 & 0 & 0 & 0.981352 & 0 \tabularnewline
[56,58[ & 57 & 1 & 0.001166 & 0.982517 & 0.000583 \tabularnewline
[58,60[ & 59 & 0 & 0 & 0.982517 & 0 \tabularnewline
[60,62[ & 61 & 0 & 0 & 0.982517 & 0 \tabularnewline
[62,64[ & 63 & 0 & 0 & 0.982517 & 0 \tabularnewline
[64,66[ & 65 & 0 & 0 & 0.982517 & 0 \tabularnewline
[66,68[ & 67 & 0 & 0 & 0.982517 & 0 \tabularnewline
[68,70[ & 69 & 0 & 0 & 0.982517 & 0 \tabularnewline
[70,72[ & 71 & 1 & 0.001166 & 0.983683 & 0.000583 \tabularnewline
[72,74[ & 73 & 0 & 0 & 0.983683 & 0 \tabularnewline
[74,76[ & 75 & 0 & 0 & 0.983683 & 0 \tabularnewline
[76,78[ & 77 & 0 & 0 & 0.983683 & 0 \tabularnewline
[78,80[ & 79 & 0 & 0 & 0.983683 & 0 \tabularnewline
[80,82[ & 81 & 0 & 0 & 0.983683 & 0 \tabularnewline
[82,84[ & 83 & 0 & 0 & 0.983683 & 0 \tabularnewline
[84,86[ & 85 & 0 & 0 & 0.983683 & 0 \tabularnewline
[86,88[ & 87 & 0 & 0 & 0.983683 & 0 \tabularnewline
[88,90[ & 89 & 1 & 0.001166 & 0.984848 & 0.000583 \tabularnewline
[90,92[ & 91 & 0 & 0 & 0.984848 & 0 \tabularnewline
[92,94[ & 93 & 0 & 0 & 0.984848 & 0 \tabularnewline
[94,96[ & 95 & 0 & 0 & 0.984848 & 0 \tabularnewline
[96,98[ & 97 & 0 & 0 & 0.984848 & 0 \tabularnewline
[98,100] & 99 & 13 & 0.015152 & 1 & 0.007576 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77723&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][0,2[[/C][C]1[/C][C]3[/C][C]0.003497[/C][C]0.003497[/C][C]0.001748[/C][/ROW]
[ROW][C][2,4[[/C][C]3[/C][C]1[/C][C]0.001166[/C][C]0.004662[/C][C]0.000583[/C][/ROW]
[ROW][C][4,6[[/C][C]5[/C][C]3[/C][C]0.003497[/C][C]0.008159[/C][C]0.001748[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]30[/C][C]0.034965[/C][C]0.043124[/C][C]0.017483[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]166[/C][C]0.193473[/C][C]0.236597[/C][C]0.096737[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]258[/C][C]0.300699[/C][C]0.537296[/C][C]0.15035[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]312[/C][C]0.363636[/C][C]0.900932[/C][C]0.181818[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]58[/C][C]0.067599[/C][C]0.968531[/C][C]0.0338[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]6[/C][C]0.006993[/C][C]0.975524[/C][C]0.003497[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]2[/C][C]0.002331[/C][C]0.977855[/C][C]0.001166[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]1[/C][C]0.001166[/C][C]0.979021[/C][C]0.000583[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]0[/C][C]0[/C][C]0.979021[/C][C]0[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]0[/C][C]0[/C][C]0.979021[/C][C]0[/C][/ROW]
[ROW][C][26,28[[/C][C]27[/C][C]0[/C][C]0[/C][C]0.979021[/C][C]0[/C][/ROW]
[ROW][C][28,30[[/C][C]29[/C][C]1[/C][C]0.001166[/C][C]0.980186[/C][C]0.000583[/C][/ROW]
[ROW][C][30,32[[/C][C]31[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][32,34[[/C][C]33[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][34,36[[/C][C]35[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][36,38[[/C][C]37[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][38,40[[/C][C]39[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][40,42[[/C][C]41[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][42,44[[/C][C]43[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][44,46[[/C][C]45[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][46,48[[/C][C]47[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][48,50[[/C][C]49[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][50,52[[/C][C]51[/C][C]1[/C][C]0.001166[/C][C]0.981352[/C][C]0.000583[/C][/ROW]
[ROW][C][52,54[[/C][C]53[/C][C]0[/C][C]0[/C][C]0.981352[/C][C]0[/C][/ROW]
[ROW][C][54,56[[/C][C]55[/C][C]0[/C][C]0[/C][C]0.981352[/C][C]0[/C][/ROW]
[ROW][C][56,58[[/C][C]57[/C][C]1[/C][C]0.001166[/C][C]0.982517[/C][C]0.000583[/C][/ROW]
[ROW][C][58,60[[/C][C]59[/C][C]0[/C][C]0[/C][C]0.982517[/C][C]0[/C][/ROW]
[ROW][C][60,62[[/C][C]61[/C][C]0[/C][C]0[/C][C]0.982517[/C][C]0[/C][/ROW]
[ROW][C][62,64[[/C][C]63[/C][C]0[/C][C]0[/C][C]0.982517[/C][C]0[/C][/ROW]
[ROW][C][64,66[[/C][C]65[/C][C]0[/C][C]0[/C][C]0.982517[/C][C]0[/C][/ROW]
[ROW][C][66,68[[/C][C]67[/C][C]0[/C][C]0[/C][C]0.982517[/C][C]0[/C][/ROW]
[ROW][C][68,70[[/C][C]69[/C][C]0[/C][C]0[/C][C]0.982517[/C][C]0[/C][/ROW]
[ROW][C][70,72[[/C][C]71[/C][C]1[/C][C]0.001166[/C][C]0.983683[/C][C]0.000583[/C][/ROW]
[ROW][C][72,74[[/C][C]73[/C][C]0[/C][C]0[/C][C]0.983683[/C][C]0[/C][/ROW]
[ROW][C][74,76[[/C][C]75[/C][C]0[/C][C]0[/C][C]0.983683[/C][C]0[/C][/ROW]
[ROW][C][76,78[[/C][C]77[/C][C]0[/C][C]0[/C][C]0.983683[/C][C]0[/C][/ROW]
[ROW][C][78,80[[/C][C]79[/C][C]0[/C][C]0[/C][C]0.983683[/C][C]0[/C][/ROW]
[ROW][C][80,82[[/C][C]81[/C][C]0[/C][C]0[/C][C]0.983683[/C][C]0[/C][/ROW]
[ROW][C][82,84[[/C][C]83[/C][C]0[/C][C]0[/C][C]0.983683[/C][C]0[/C][/ROW]
[ROW][C][84,86[[/C][C]85[/C][C]0[/C][C]0[/C][C]0.983683[/C][C]0[/C][/ROW]
[ROW][C][86,88[[/C][C]87[/C][C]0[/C][C]0[/C][C]0.983683[/C][C]0[/C][/ROW]
[ROW][C][88,90[[/C][C]89[/C][C]1[/C][C]0.001166[/C][C]0.984848[/C][C]0.000583[/C][/ROW]
[ROW][C][90,92[[/C][C]91[/C][C]0[/C][C]0[/C][C]0.984848[/C][C]0[/C][/ROW]
[ROW][C][92,94[[/C][C]93[/C][C]0[/C][C]0[/C][C]0.984848[/C][C]0[/C][/ROW]
[ROW][C][94,96[[/C][C]95[/C][C]0[/C][C]0[/C][C]0.984848[/C][C]0[/C][/ROW]
[ROW][C][96,98[[/C][C]97[/C][C]0[/C][C]0[/C][C]0.984848[/C][C]0[/C][/ROW]
[ROW][C][98,100][/C][C]99[/C][C]13[/C][C]0.015152[/C][C]1[/C][C]0.007576[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77723&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77723&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
[0,2[130.0034970.0034970.001748
[2,4[310.0011660.0046620.000583
[4,6[530.0034970.0081590.001748
[6,8[7300.0349650.0431240.017483
[8,10[91660.1934730.2365970.096737
[10,12[112580.3006990.5372960.15035
[12,14[133120.3636360.9009320.181818
[14,16[15580.0675990.9685310.0338
[16,18[1760.0069930.9755240.003497
[18,20[1920.0023310.9778550.001166
[20,22[2110.0011660.9790210.000583
[22,24[23000.9790210
[24,26[25000.9790210
[26,28[27000.9790210
[28,30[2910.0011660.9801860.000583
[30,32[31000.9801860
[32,34[33000.9801860
[34,36[35000.9801860
[36,38[37000.9801860
[38,40[39000.9801860
[40,42[41000.9801860
[42,44[43000.9801860
[44,46[45000.9801860
[46,48[47000.9801860
[48,50[49000.9801860
[50,52[5110.0011660.9813520.000583
[52,54[53000.9813520
[54,56[55000.9813520
[56,58[5710.0011660.9825170.000583
[58,60[59000.9825170
[60,62[61000.9825170
[62,64[63000.9825170
[64,66[65000.9825170
[66,68[67000.9825170
[68,70[69000.9825170
[70,72[7110.0011660.9836830.000583
[72,74[73000.9836830
[74,76[75000.9836830
[76,78[77000.9836830
[78,80[79000.9836830
[80,82[81000.9836830
[82,84[83000.9836830
[84,86[85000.9836830
[86,88[87000.9836830
[88,90[8910.0011660.9848480.000583
[90,92[91000.9848480
[92,94[93000.9848480
[94,96[95000.9848480
[96,98[97000.9848480
[98,100]99130.01515210.007576


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')