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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 07 Oct 2012 13:11:33 -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/2012/Oct/07/t1349629967jdo00odfk9t6lca.htm/, Retrieved Sat, 04 May 2024 12:35:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=173041, Retrieved Sat, 04 May 2024 12:35:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2012-09-20 13:23:07] [018035fb0d4285098cb1e31787361d70]
- RMPD    [Histogram] [] [2012-10-07 17:11:33] [a14baeeafb42bd31c8e1f231a0a4996d] [Current]
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Dataseries X:
6.11
6.13
6.15
6.15
6.16
6.18
6.21
6.22
6.23
6.26
6.28
6.28
6.29
6.32
6.36
6.37
6.38
6.38
6.4
6.41
6.42
6.43
6.44
6.47
6.47
6.48
6.51
6.54
6.56
6.57
6.6
6.62
6.65
6.71
6.76
6.78
6.8
6.83
6.86
6.86
6.87
6.88
6.9
6.92
6.93
6.94
6.96
6.98
6.99
7.01
7.06
7.07
7.08
7.08
7.1
7.11
7.22
7.24
7.25
7.26
7.27
7.3
7.32
7.34
7.35
7.36
7.39
7.41
7.43
7.46
7.47
7.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173041&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173041&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173041&T=0

As an alternative you can also use a 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'Sir Maurice George Kendall' @ kendall.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6.1,6.12[6.1110.0138890.0138890.694444
[6.12,6.14[6.1310.0138890.0277780.694444
[6.14,6.16[6.1520.0277780.0555561.388889
[6.16,6.18[6.1710.0138890.0694440.694444
[6.18,6.2[6.1910.0138890.0833330.694444
[6.2,6.22[6.2110.0138890.0972220.694444
[6.22,6.24[6.2320.0277780.1251.388889
[6.24,6.26[6.25000.1250
[6.26,6.28[6.2710.0138890.1388890.694444
[6.28,6.3[6.2930.0416670.1805562.083333
[6.3,6.32[6.31000.1805560
[6.32,6.34[6.3310.0138890.1944440.694444
[6.34,6.36[6.35000.1944440
[6.36,6.38[6.3720.0277780.2222221.388889
[6.38,6.4[6.3920.0277780.251.388889
[6.4,6.42[6.4120.0277780.2777781.388889
[6.42,6.44[6.4320.0277780.3055561.388889
[6.44,6.46[6.4510.0138890.3194440.694444
[6.46,6.48[6.4720.0277780.3472221.388889
[6.48,6.5[6.4910.0138890.3611110.694444
[6.5,6.52[6.5110.0138890.3750.694444
[6.52,6.54[6.53000.3750
[6.54,6.56[6.5510.0138890.3888890.694444
[6.56,6.58[6.5720.0277780.4166671.388889
[6.58,6.6[6.59000.4166670
[6.6,6.62[6.6110.0138890.4305560.694444
[6.62,6.64[6.6310.0138890.4444440.694444
[6.64,6.66[6.6510.0138890.4583330.694444
[6.66,6.68[6.67000.4583330
[6.68,6.7[6.69000.4583330
[6.7,6.72[6.7110.0138890.4722220.694444
[6.72,6.74[6.73000.4722220
[6.74,6.76[6.75000.4722220
[6.76,6.78[6.7710.0138890.4861110.694444
[6.78,6.8[6.7910.0138890.50.694444
[6.8,6.82[6.8110.0138890.5138890.694444
[6.82,6.84[6.8310.0138890.5277780.694444
[6.84,6.86[6.85000.5277780
[6.86,6.88[6.8730.0416670.5694442.083333
[6.88,6.9[6.8910.0138890.5833330.694444
[6.9,6.92[6.9110.0138890.5972220.694444
[6.92,6.94[6.9320.0277780.6251.388889
[6.94,6.96[6.9510.0138890.6388890.694444
[6.96,6.98[6.9710.0138890.6527780.694444
[6.98,7[6.9920.0277780.6805561.388889
[7,7.02[7.0110.0138890.6944440.694444
[7.02,7.04[7.03000.6944440
[7.04,7.06[7.05000.6944440
[7.06,7.08[7.0720.0277780.7222221.388889
[7.08,7.1[7.0920.0277780.751.388889
[7.1,7.12[7.1120.0277780.7777781.388889
[7.12,7.14[7.13000.7777780
[7.14,7.16[7.15000.7777780
[7.16,7.18[7.17000.7777780
[7.18,7.2[7.19000.7777780
[7.2,7.22[7.21000.7777780
[7.22,7.24[7.2310.0138890.7916670.694444
[7.24,7.26[7.2520.0277780.8194441.388889
[7.26,7.28[7.2720.0277780.8472221.388889
[7.28,7.3[7.29000.8472220
[7.3,7.32[7.3110.0138890.8611110.694444
[7.32,7.34[7.3310.0138890.8750.694444
[7.34,7.36[7.3520.0277780.9027781.388889
[7.36,7.38[7.3710.0138890.9166670.694444
[7.38,7.4[7.3910.0138890.9305560.694444
[7.4,7.42[7.4110.0138890.9444440.694444
[7.42,7.44[7.4310.0138890.9583330.694444
[7.44,7.46[7.45000.9583330
[7.46,7.48[7.4720.0277780.9861111.388889
[7.48,7.5]7.4910.01388910.694444

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6.1,6.12[ & 6.11 & 1 & 0.013889 & 0.013889 & 0.694444 \tabularnewline
[6.12,6.14[ & 6.13 & 1 & 0.013889 & 0.027778 & 0.694444 \tabularnewline
[6.14,6.16[ & 6.15 & 2 & 0.027778 & 0.055556 & 1.388889 \tabularnewline
[6.16,6.18[ & 6.17 & 1 & 0.013889 & 0.069444 & 0.694444 \tabularnewline
[6.18,6.2[ & 6.19 & 1 & 0.013889 & 0.083333 & 0.694444 \tabularnewline
[6.2,6.22[ & 6.21 & 1 & 0.013889 & 0.097222 & 0.694444 \tabularnewline
[6.22,6.24[ & 6.23 & 2 & 0.027778 & 0.125 & 1.388889 \tabularnewline
[6.24,6.26[ & 6.25 & 0 & 0 & 0.125 & 0 \tabularnewline
[6.26,6.28[ & 6.27 & 1 & 0.013889 & 0.138889 & 0.694444 \tabularnewline
[6.28,6.3[ & 6.29 & 3 & 0.041667 & 0.180556 & 2.083333 \tabularnewline
[6.3,6.32[ & 6.31 & 0 & 0 & 0.180556 & 0 \tabularnewline
[6.32,6.34[ & 6.33 & 1 & 0.013889 & 0.194444 & 0.694444 \tabularnewline
[6.34,6.36[ & 6.35 & 0 & 0 & 0.194444 & 0 \tabularnewline
[6.36,6.38[ & 6.37 & 2 & 0.027778 & 0.222222 & 1.388889 \tabularnewline
[6.38,6.4[ & 6.39 & 2 & 0.027778 & 0.25 & 1.388889 \tabularnewline
[6.4,6.42[ & 6.41 & 2 & 0.027778 & 0.277778 & 1.388889 \tabularnewline
[6.42,6.44[ & 6.43 & 2 & 0.027778 & 0.305556 & 1.388889 \tabularnewline
[6.44,6.46[ & 6.45 & 1 & 0.013889 & 0.319444 & 0.694444 \tabularnewline
[6.46,6.48[ & 6.47 & 2 & 0.027778 & 0.347222 & 1.388889 \tabularnewline
[6.48,6.5[ & 6.49 & 1 & 0.013889 & 0.361111 & 0.694444 \tabularnewline
[6.5,6.52[ & 6.51 & 1 & 0.013889 & 0.375 & 0.694444 \tabularnewline
[6.52,6.54[ & 6.53 & 0 & 0 & 0.375 & 0 \tabularnewline
[6.54,6.56[ & 6.55 & 1 & 0.013889 & 0.388889 & 0.694444 \tabularnewline
[6.56,6.58[ & 6.57 & 2 & 0.027778 & 0.416667 & 1.388889 \tabularnewline
[6.58,6.6[ & 6.59 & 0 & 0 & 0.416667 & 0 \tabularnewline
[6.6,6.62[ & 6.61 & 1 & 0.013889 & 0.430556 & 0.694444 \tabularnewline
[6.62,6.64[ & 6.63 & 1 & 0.013889 & 0.444444 & 0.694444 \tabularnewline
[6.64,6.66[ & 6.65 & 1 & 0.013889 & 0.458333 & 0.694444 \tabularnewline
[6.66,6.68[ & 6.67 & 0 & 0 & 0.458333 & 0 \tabularnewline
[6.68,6.7[ & 6.69 & 0 & 0 & 0.458333 & 0 \tabularnewline
[6.7,6.72[ & 6.71 & 1 & 0.013889 & 0.472222 & 0.694444 \tabularnewline
[6.72,6.74[ & 6.73 & 0 & 0 & 0.472222 & 0 \tabularnewline
[6.74,6.76[ & 6.75 & 0 & 0 & 0.472222 & 0 \tabularnewline
[6.76,6.78[ & 6.77 & 1 & 0.013889 & 0.486111 & 0.694444 \tabularnewline
[6.78,6.8[ & 6.79 & 1 & 0.013889 & 0.5 & 0.694444 \tabularnewline
[6.8,6.82[ & 6.81 & 1 & 0.013889 & 0.513889 & 0.694444 \tabularnewline
[6.82,6.84[ & 6.83 & 1 & 0.013889 & 0.527778 & 0.694444 \tabularnewline
[6.84,6.86[ & 6.85 & 0 & 0 & 0.527778 & 0 \tabularnewline
[6.86,6.88[ & 6.87 & 3 & 0.041667 & 0.569444 & 2.083333 \tabularnewline
[6.88,6.9[ & 6.89 & 1 & 0.013889 & 0.583333 & 0.694444 \tabularnewline
[6.9,6.92[ & 6.91 & 1 & 0.013889 & 0.597222 & 0.694444 \tabularnewline
[6.92,6.94[ & 6.93 & 2 & 0.027778 & 0.625 & 1.388889 \tabularnewline
[6.94,6.96[ & 6.95 & 1 & 0.013889 & 0.638889 & 0.694444 \tabularnewline
[6.96,6.98[ & 6.97 & 1 & 0.013889 & 0.652778 & 0.694444 \tabularnewline
[6.98,7[ & 6.99 & 2 & 0.027778 & 0.680556 & 1.388889 \tabularnewline
[7,7.02[ & 7.01 & 1 & 0.013889 & 0.694444 & 0.694444 \tabularnewline
[7.02,7.04[ & 7.03 & 0 & 0 & 0.694444 & 0 \tabularnewline
[7.04,7.06[ & 7.05 & 0 & 0 & 0.694444 & 0 \tabularnewline
[7.06,7.08[ & 7.07 & 2 & 0.027778 & 0.722222 & 1.388889 \tabularnewline
[7.08,7.1[ & 7.09 & 2 & 0.027778 & 0.75 & 1.388889 \tabularnewline
[7.1,7.12[ & 7.11 & 2 & 0.027778 & 0.777778 & 1.388889 \tabularnewline
[7.12,7.14[ & 7.13 & 0 & 0 & 0.777778 & 0 \tabularnewline
[7.14,7.16[ & 7.15 & 0 & 0 & 0.777778 & 0 \tabularnewline
[7.16,7.18[ & 7.17 & 0 & 0 & 0.777778 & 0 \tabularnewline
[7.18,7.2[ & 7.19 & 0 & 0 & 0.777778 & 0 \tabularnewline
[7.2,7.22[ & 7.21 & 0 & 0 & 0.777778 & 0 \tabularnewline
[7.22,7.24[ & 7.23 & 1 & 0.013889 & 0.791667 & 0.694444 \tabularnewline
[7.24,7.26[ & 7.25 & 2 & 0.027778 & 0.819444 & 1.388889 \tabularnewline
[7.26,7.28[ & 7.27 & 2 & 0.027778 & 0.847222 & 1.388889 \tabularnewline
[7.28,7.3[ & 7.29 & 0 & 0 & 0.847222 & 0 \tabularnewline
[7.3,7.32[ & 7.31 & 1 & 0.013889 & 0.861111 & 0.694444 \tabularnewline
[7.32,7.34[ & 7.33 & 1 & 0.013889 & 0.875 & 0.694444 \tabularnewline
[7.34,7.36[ & 7.35 & 2 & 0.027778 & 0.902778 & 1.388889 \tabularnewline
[7.36,7.38[ & 7.37 & 1 & 0.013889 & 0.916667 & 0.694444 \tabularnewline
[7.38,7.4[ & 7.39 & 1 & 0.013889 & 0.930556 & 0.694444 \tabularnewline
[7.4,7.42[ & 7.41 & 1 & 0.013889 & 0.944444 & 0.694444 \tabularnewline
[7.42,7.44[ & 7.43 & 1 & 0.013889 & 0.958333 & 0.694444 \tabularnewline
[7.44,7.46[ & 7.45 & 0 & 0 & 0.958333 & 0 \tabularnewline
[7.46,7.48[ & 7.47 & 2 & 0.027778 & 0.986111 & 1.388889 \tabularnewline
[7.48,7.5] & 7.49 & 1 & 0.013889 & 1 & 0.694444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173041&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][6.1,6.12[[/C][C]6.11[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.694444[/C][/ROW]
[ROW][C][6.12,6.14[[/C][C]6.13[/C][C]1[/C][C]0.013889[/C][C]0.027778[/C][C]0.694444[/C][/ROW]
[ROW][C][6.14,6.16[[/C][C]6.15[/C][C]2[/C][C]0.027778[/C][C]0.055556[/C][C]1.388889[/C][/ROW]
[ROW][C][6.16,6.18[[/C][C]6.17[/C][C]1[/C][C]0.013889[/C][C]0.069444[/C][C]0.694444[/C][/ROW]
[ROW][C][6.18,6.2[[/C][C]6.19[/C][C]1[/C][C]0.013889[/C][C]0.083333[/C][C]0.694444[/C][/ROW]
[ROW][C][6.2,6.22[[/C][C]6.21[/C][C]1[/C][C]0.013889[/C][C]0.097222[/C][C]0.694444[/C][/ROW]
[ROW][C][6.22,6.24[[/C][C]6.23[/C][C]2[/C][C]0.027778[/C][C]0.125[/C][C]1.388889[/C][/ROW]
[ROW][C][6.24,6.26[[/C][C]6.25[/C][C]0[/C][C]0[/C][C]0.125[/C][C]0[/C][/ROW]
[ROW][C][6.26,6.28[[/C][C]6.27[/C][C]1[/C][C]0.013889[/C][C]0.138889[/C][C]0.694444[/C][/ROW]
[ROW][C][6.28,6.3[[/C][C]6.29[/C][C]3[/C][C]0.041667[/C][C]0.180556[/C][C]2.083333[/C][/ROW]
[ROW][C][6.3,6.32[[/C][C]6.31[/C][C]0[/C][C]0[/C][C]0.180556[/C][C]0[/C][/ROW]
[ROW][C][6.32,6.34[[/C][C]6.33[/C][C]1[/C][C]0.013889[/C][C]0.194444[/C][C]0.694444[/C][/ROW]
[ROW][C][6.34,6.36[[/C][C]6.35[/C][C]0[/C][C]0[/C][C]0.194444[/C][C]0[/C][/ROW]
[ROW][C][6.36,6.38[[/C][C]6.37[/C][C]2[/C][C]0.027778[/C][C]0.222222[/C][C]1.388889[/C][/ROW]
[ROW][C][6.38,6.4[[/C][C]6.39[/C][C]2[/C][C]0.027778[/C][C]0.25[/C][C]1.388889[/C][/ROW]
[ROW][C][6.4,6.42[[/C][C]6.41[/C][C]2[/C][C]0.027778[/C][C]0.277778[/C][C]1.388889[/C][/ROW]
[ROW][C][6.42,6.44[[/C][C]6.43[/C][C]2[/C][C]0.027778[/C][C]0.305556[/C][C]1.388889[/C][/ROW]
[ROW][C][6.44,6.46[[/C][C]6.45[/C][C]1[/C][C]0.013889[/C][C]0.319444[/C][C]0.694444[/C][/ROW]
[ROW][C][6.46,6.48[[/C][C]6.47[/C][C]2[/C][C]0.027778[/C][C]0.347222[/C][C]1.388889[/C][/ROW]
[ROW][C][6.48,6.5[[/C][C]6.49[/C][C]1[/C][C]0.013889[/C][C]0.361111[/C][C]0.694444[/C][/ROW]
[ROW][C][6.5,6.52[[/C][C]6.51[/C][C]1[/C][C]0.013889[/C][C]0.375[/C][C]0.694444[/C][/ROW]
[ROW][C][6.52,6.54[[/C][C]6.53[/C][C]0[/C][C]0[/C][C]0.375[/C][C]0[/C][/ROW]
[ROW][C][6.54,6.56[[/C][C]6.55[/C][C]1[/C][C]0.013889[/C][C]0.388889[/C][C]0.694444[/C][/ROW]
[ROW][C][6.56,6.58[[/C][C]6.57[/C][C]2[/C][C]0.027778[/C][C]0.416667[/C][C]1.388889[/C][/ROW]
[ROW][C][6.58,6.6[[/C][C]6.59[/C][C]0[/C][C]0[/C][C]0.416667[/C][C]0[/C][/ROW]
[ROW][C][6.6,6.62[[/C][C]6.61[/C][C]1[/C][C]0.013889[/C][C]0.430556[/C][C]0.694444[/C][/ROW]
[ROW][C][6.62,6.64[[/C][C]6.63[/C][C]1[/C][C]0.013889[/C][C]0.444444[/C][C]0.694444[/C][/ROW]
[ROW][C][6.64,6.66[[/C][C]6.65[/C][C]1[/C][C]0.013889[/C][C]0.458333[/C][C]0.694444[/C][/ROW]
[ROW][C][6.66,6.68[[/C][C]6.67[/C][C]0[/C][C]0[/C][C]0.458333[/C][C]0[/C][/ROW]
[ROW][C][6.68,6.7[[/C][C]6.69[/C][C]0[/C][C]0[/C][C]0.458333[/C][C]0[/C][/ROW]
[ROW][C][6.7,6.72[[/C][C]6.71[/C][C]1[/C][C]0.013889[/C][C]0.472222[/C][C]0.694444[/C][/ROW]
[ROW][C][6.72,6.74[[/C][C]6.73[/C][C]0[/C][C]0[/C][C]0.472222[/C][C]0[/C][/ROW]
[ROW][C][6.74,6.76[[/C][C]6.75[/C][C]0[/C][C]0[/C][C]0.472222[/C][C]0[/C][/ROW]
[ROW][C][6.76,6.78[[/C][C]6.77[/C][C]1[/C][C]0.013889[/C][C]0.486111[/C][C]0.694444[/C][/ROW]
[ROW][C][6.78,6.8[[/C][C]6.79[/C][C]1[/C][C]0.013889[/C][C]0.5[/C][C]0.694444[/C][/ROW]
[ROW][C][6.8,6.82[[/C][C]6.81[/C][C]1[/C][C]0.013889[/C][C]0.513889[/C][C]0.694444[/C][/ROW]
[ROW][C][6.82,6.84[[/C][C]6.83[/C][C]1[/C][C]0.013889[/C][C]0.527778[/C][C]0.694444[/C][/ROW]
[ROW][C][6.84,6.86[[/C][C]6.85[/C][C]0[/C][C]0[/C][C]0.527778[/C][C]0[/C][/ROW]
[ROW][C][6.86,6.88[[/C][C]6.87[/C][C]3[/C][C]0.041667[/C][C]0.569444[/C][C]2.083333[/C][/ROW]
[ROW][C][6.88,6.9[[/C][C]6.89[/C][C]1[/C][C]0.013889[/C][C]0.583333[/C][C]0.694444[/C][/ROW]
[ROW][C][6.9,6.92[[/C][C]6.91[/C][C]1[/C][C]0.013889[/C][C]0.597222[/C][C]0.694444[/C][/ROW]
[ROW][C][6.92,6.94[[/C][C]6.93[/C][C]2[/C][C]0.027778[/C][C]0.625[/C][C]1.388889[/C][/ROW]
[ROW][C][6.94,6.96[[/C][C]6.95[/C][C]1[/C][C]0.013889[/C][C]0.638889[/C][C]0.694444[/C][/ROW]
[ROW][C][6.96,6.98[[/C][C]6.97[/C][C]1[/C][C]0.013889[/C][C]0.652778[/C][C]0.694444[/C][/ROW]
[ROW][C][6.98,7[[/C][C]6.99[/C][C]2[/C][C]0.027778[/C][C]0.680556[/C][C]1.388889[/C][/ROW]
[ROW][C][7,7.02[[/C][C]7.01[/C][C]1[/C][C]0.013889[/C][C]0.694444[/C][C]0.694444[/C][/ROW]
[ROW][C][7.02,7.04[[/C][C]7.03[/C][C]0[/C][C]0[/C][C]0.694444[/C][C]0[/C][/ROW]
[ROW][C][7.04,7.06[[/C][C]7.05[/C][C]0[/C][C]0[/C][C]0.694444[/C][C]0[/C][/ROW]
[ROW][C][7.06,7.08[[/C][C]7.07[/C][C]2[/C][C]0.027778[/C][C]0.722222[/C][C]1.388889[/C][/ROW]
[ROW][C][7.08,7.1[[/C][C]7.09[/C][C]2[/C][C]0.027778[/C][C]0.75[/C][C]1.388889[/C][/ROW]
[ROW][C][7.1,7.12[[/C][C]7.11[/C][C]2[/C][C]0.027778[/C][C]0.777778[/C][C]1.388889[/C][/ROW]
[ROW][C][7.12,7.14[[/C][C]7.13[/C][C]0[/C][C]0[/C][C]0.777778[/C][C]0[/C][/ROW]
[ROW][C][7.14,7.16[[/C][C]7.15[/C][C]0[/C][C]0[/C][C]0.777778[/C][C]0[/C][/ROW]
[ROW][C][7.16,7.18[[/C][C]7.17[/C][C]0[/C][C]0[/C][C]0.777778[/C][C]0[/C][/ROW]
[ROW][C][7.18,7.2[[/C][C]7.19[/C][C]0[/C][C]0[/C][C]0.777778[/C][C]0[/C][/ROW]
[ROW][C][7.2,7.22[[/C][C]7.21[/C][C]0[/C][C]0[/C][C]0.777778[/C][C]0[/C][/ROW]
[ROW][C][7.22,7.24[[/C][C]7.23[/C][C]1[/C][C]0.013889[/C][C]0.791667[/C][C]0.694444[/C][/ROW]
[ROW][C][7.24,7.26[[/C][C]7.25[/C][C]2[/C][C]0.027778[/C][C]0.819444[/C][C]1.388889[/C][/ROW]
[ROW][C][7.26,7.28[[/C][C]7.27[/C][C]2[/C][C]0.027778[/C][C]0.847222[/C][C]1.388889[/C][/ROW]
[ROW][C][7.28,7.3[[/C][C]7.29[/C][C]0[/C][C]0[/C][C]0.847222[/C][C]0[/C][/ROW]
[ROW][C][7.3,7.32[[/C][C]7.31[/C][C]1[/C][C]0.013889[/C][C]0.861111[/C][C]0.694444[/C][/ROW]
[ROW][C][7.32,7.34[[/C][C]7.33[/C][C]1[/C][C]0.013889[/C][C]0.875[/C][C]0.694444[/C][/ROW]
[ROW][C][7.34,7.36[[/C][C]7.35[/C][C]2[/C][C]0.027778[/C][C]0.902778[/C][C]1.388889[/C][/ROW]
[ROW][C][7.36,7.38[[/C][C]7.37[/C][C]1[/C][C]0.013889[/C][C]0.916667[/C][C]0.694444[/C][/ROW]
[ROW][C][7.38,7.4[[/C][C]7.39[/C][C]1[/C][C]0.013889[/C][C]0.930556[/C][C]0.694444[/C][/ROW]
[ROW][C][7.4,7.42[[/C][C]7.41[/C][C]1[/C][C]0.013889[/C][C]0.944444[/C][C]0.694444[/C][/ROW]
[ROW][C][7.42,7.44[[/C][C]7.43[/C][C]1[/C][C]0.013889[/C][C]0.958333[/C][C]0.694444[/C][/ROW]
[ROW][C][7.44,7.46[[/C][C]7.45[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][7.46,7.48[[/C][C]7.47[/C][C]2[/C][C]0.027778[/C][C]0.986111[/C][C]1.388889[/C][/ROW]
[ROW][C][7.48,7.5][/C][C]7.49[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.694444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173041&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173041&T=1

As an alternative you can also use a QR Code:  

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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6.1,6.12[6.1110.0138890.0138890.694444
[6.12,6.14[6.1310.0138890.0277780.694444
[6.14,6.16[6.1520.0277780.0555561.388889
[6.16,6.18[6.1710.0138890.0694440.694444
[6.18,6.2[6.1910.0138890.0833330.694444
[6.2,6.22[6.2110.0138890.0972220.694444
[6.22,6.24[6.2320.0277780.1251.388889
[6.24,6.26[6.25000.1250
[6.26,6.28[6.2710.0138890.1388890.694444
[6.28,6.3[6.2930.0416670.1805562.083333
[6.3,6.32[6.31000.1805560
[6.32,6.34[6.3310.0138890.1944440.694444
[6.34,6.36[6.35000.1944440
[6.36,6.38[6.3720.0277780.2222221.388889
[6.38,6.4[6.3920.0277780.251.388889
[6.4,6.42[6.4120.0277780.2777781.388889
[6.42,6.44[6.4320.0277780.3055561.388889
[6.44,6.46[6.4510.0138890.3194440.694444
[6.46,6.48[6.4720.0277780.3472221.388889
[6.48,6.5[6.4910.0138890.3611110.694444
[6.5,6.52[6.5110.0138890.3750.694444
[6.52,6.54[6.53000.3750
[6.54,6.56[6.5510.0138890.3888890.694444
[6.56,6.58[6.5720.0277780.4166671.388889
[6.58,6.6[6.59000.4166670
[6.6,6.62[6.6110.0138890.4305560.694444
[6.62,6.64[6.6310.0138890.4444440.694444
[6.64,6.66[6.6510.0138890.4583330.694444
[6.66,6.68[6.67000.4583330
[6.68,6.7[6.69000.4583330
[6.7,6.72[6.7110.0138890.4722220.694444
[6.72,6.74[6.73000.4722220
[6.74,6.76[6.75000.4722220
[6.76,6.78[6.7710.0138890.4861110.694444
[6.78,6.8[6.7910.0138890.50.694444
[6.8,6.82[6.8110.0138890.5138890.694444
[6.82,6.84[6.8310.0138890.5277780.694444
[6.84,6.86[6.85000.5277780
[6.86,6.88[6.8730.0416670.5694442.083333
[6.88,6.9[6.8910.0138890.5833330.694444
[6.9,6.92[6.9110.0138890.5972220.694444
[6.92,6.94[6.9320.0277780.6251.388889
[6.94,6.96[6.9510.0138890.6388890.694444
[6.96,6.98[6.9710.0138890.6527780.694444
[6.98,7[6.9920.0277780.6805561.388889
[7,7.02[7.0110.0138890.6944440.694444
[7.02,7.04[7.03000.6944440
[7.04,7.06[7.05000.6944440
[7.06,7.08[7.0720.0277780.7222221.388889
[7.08,7.1[7.0920.0277780.751.388889
[7.1,7.12[7.1120.0277780.7777781.388889
[7.12,7.14[7.13000.7777780
[7.14,7.16[7.15000.7777780
[7.16,7.18[7.17000.7777780
[7.18,7.2[7.19000.7777780
[7.2,7.22[7.21000.7777780
[7.22,7.24[7.2310.0138890.7916670.694444
[7.24,7.26[7.2520.0277780.8194441.388889
[7.26,7.28[7.2720.0277780.8472221.388889
[7.28,7.3[7.29000.8472220
[7.3,7.32[7.3110.0138890.8611110.694444
[7.32,7.34[7.3310.0138890.8750.694444
[7.34,7.36[7.3520.0277780.9027781.388889
[7.36,7.38[7.3710.0138890.9166670.694444
[7.38,7.4[7.3910.0138890.9305560.694444
[7.4,7.42[7.4110.0138890.9444440.694444
[7.42,7.44[7.4310.0138890.9583330.694444
[7.44,7.46[7.45000.9583330
[7.46,7.48[7.4720.0277780.9861111.388889
[7.48,7.5]7.4910.01388910.694444



Parameters (Session):
par1 = 60 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 60 ; 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')
}