Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 10 Feb 2009 13:20:41 -0700
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/Feb/10/t12342973081oghfl06buc8x0s.htm/, Retrieved Mon, 13 May 2024 20:45:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37232, Retrieved Mon, 13 May 2024 20:45:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact201
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2009-02-10 20:20:41] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1.3239
1.3449
1.2732
1.3322
1.4369
1.4975
1.577
1.5553
1.5557
1.575
1.5527
1.4748
1.4718
1.457
1.4684
1.4227
1.3896
1.3622
1.3716
1.3419
1.3511
1.3516
1.3242
1.3074
1.2999
1.3213
1.2881
1.2611
1.2727
1.2811
1.2684
1.265
1.277
1.2271
1.202
1.1938
1.2103
1.1856
1.1786
1.2015
1.2256
1.2292
1.2037
1.2165
1.2694
1.2938
1.3201
1.3014
1.3119
1.3408
1.2991
1.249
1.2218
1.2176
1.2266
1.2138
1.2007
1.1985
1.2262
1.2646
1.2613
1.2286
1.1702
1.1692
1.1222
1.1139
1.1372
1.1663
1.1582
1.0848
1.0807
1.0773
1.0622
1.0183
1.0014




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37232&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 Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37232&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37232&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 Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1,1.01[1.00510.0133330.0133331.333333
[1.01,1.02[1.01510.0133330.0266671.333333
[1.02,1.03[1.025000.0266670
[1.03,1.04[1.035000.0266670
[1.04,1.05[1.045000.0266670
[1.05,1.06[1.055000.0266670
[1.06,1.07[1.06510.0133330.041.333333
[1.07,1.08[1.07510.0133330.0533331.333333
[1.08,1.09[1.08520.0266670.082.666667
[1.09,1.1[1.095000.080
[1.1,1.11[1.105000.080
[1.11,1.12[1.11510.0133330.0933331.333333
[1.12,1.13[1.12510.0133330.1066671.333333
[1.13,1.14[1.13510.0133330.121.333333
[1.14,1.15[1.145000.120
[1.15,1.16[1.15510.0133330.1333331.333333
[1.16,1.17[1.16520.0266670.162.666667
[1.17,1.18[1.17520.0266670.1866672.666667
[1.18,1.19[1.18510.0133330.21.333333
[1.19,1.2[1.19520.0266670.2266672.666667
[1.2,1.21[1.20540.0533330.285.333333
[1.21,1.22[1.21540.0533330.3333335.333333
[1.22,1.23[1.22570.0933330.4266679.333333
[1.23,1.24[1.235000.4266670
[1.24,1.25[1.24510.0133330.441.333333
[1.25,1.26[1.255000.440
[1.26,1.27[1.26560.080.528
[1.27,1.28[1.27530.040.564
[1.28,1.29[1.28520.0266670.5866672.666667
[1.29,1.3[1.29530.040.6266674
[1.3,1.31[1.30520.0266670.6533332.666667
[1.31,1.32[1.31510.0133330.6666671.333333
[1.32,1.33[1.32540.0533330.725.333333
[1.33,1.34[1.33510.0133330.7333331.333333
[1.34,1.35[1.34530.040.7733334
[1.35,1.36[1.35520.0266670.82.666667
[1.36,1.37[1.36510.0133330.8133331.333333
[1.37,1.38[1.37510.0133330.8266671.333333
[1.38,1.39[1.38510.0133330.841.333333
[1.39,1.4[1.395000.840
[1.4,1.41[1.405000.840
[1.41,1.42[1.415000.840
[1.42,1.43[1.42510.0133330.8533331.333333
[1.43,1.44[1.43510.0133330.8666671.333333
[1.44,1.45[1.445000.8666670
[1.45,1.46[1.45510.0133330.881.333333
[1.46,1.47[1.46510.0133330.8933331.333333
[1.47,1.48[1.47520.0266670.922.666667
[1.48,1.49[1.485000.920
[1.49,1.5[1.49510.0133330.9333331.333333
[1.5,1.51[1.505000.9333330
[1.51,1.52[1.515000.9333330
[1.52,1.53[1.525000.9333330
[1.53,1.54[1.535000.9333330
[1.54,1.55[1.545000.9333330
[1.55,1.56[1.55530.040.9733334
[1.56,1.57[1.565000.9733330
[1.57,1.58]1.57520.02666712.666666

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1,1.01[ & 1.005 & 1 & 0.013333 & 0.013333 & 1.333333 \tabularnewline
[1.01,1.02[ & 1.015 & 1 & 0.013333 & 0.026667 & 1.333333 \tabularnewline
[1.02,1.03[ & 1.025 & 0 & 0 & 0.026667 & 0 \tabularnewline
[1.03,1.04[ & 1.035 & 0 & 0 & 0.026667 & 0 \tabularnewline
[1.04,1.05[ & 1.045 & 0 & 0 & 0.026667 & 0 \tabularnewline
[1.05,1.06[ & 1.055 & 0 & 0 & 0.026667 & 0 \tabularnewline
[1.06,1.07[ & 1.065 & 1 & 0.013333 & 0.04 & 1.333333 \tabularnewline
[1.07,1.08[ & 1.075 & 1 & 0.013333 & 0.053333 & 1.333333 \tabularnewline
[1.08,1.09[ & 1.085 & 2 & 0.026667 & 0.08 & 2.666667 \tabularnewline
[1.09,1.1[ & 1.095 & 0 & 0 & 0.08 & 0 \tabularnewline
[1.1,1.11[ & 1.105 & 0 & 0 & 0.08 & 0 \tabularnewline
[1.11,1.12[ & 1.115 & 1 & 0.013333 & 0.093333 & 1.333333 \tabularnewline
[1.12,1.13[ & 1.125 & 1 & 0.013333 & 0.106667 & 1.333333 \tabularnewline
[1.13,1.14[ & 1.135 & 1 & 0.013333 & 0.12 & 1.333333 \tabularnewline
[1.14,1.15[ & 1.145 & 0 & 0 & 0.12 & 0 \tabularnewline
[1.15,1.16[ & 1.155 & 1 & 0.013333 & 0.133333 & 1.333333 \tabularnewline
[1.16,1.17[ & 1.165 & 2 & 0.026667 & 0.16 & 2.666667 \tabularnewline
[1.17,1.18[ & 1.175 & 2 & 0.026667 & 0.186667 & 2.666667 \tabularnewline
[1.18,1.19[ & 1.185 & 1 & 0.013333 & 0.2 & 1.333333 \tabularnewline
[1.19,1.2[ & 1.195 & 2 & 0.026667 & 0.226667 & 2.666667 \tabularnewline
[1.2,1.21[ & 1.205 & 4 & 0.053333 & 0.28 & 5.333333 \tabularnewline
[1.21,1.22[ & 1.215 & 4 & 0.053333 & 0.333333 & 5.333333 \tabularnewline
[1.22,1.23[ & 1.225 & 7 & 0.093333 & 0.426667 & 9.333333 \tabularnewline
[1.23,1.24[ & 1.235 & 0 & 0 & 0.426667 & 0 \tabularnewline
[1.24,1.25[ & 1.245 & 1 & 0.013333 & 0.44 & 1.333333 \tabularnewline
[1.25,1.26[ & 1.255 & 0 & 0 & 0.44 & 0 \tabularnewline
[1.26,1.27[ & 1.265 & 6 & 0.08 & 0.52 & 8 \tabularnewline
[1.27,1.28[ & 1.275 & 3 & 0.04 & 0.56 & 4 \tabularnewline
[1.28,1.29[ & 1.285 & 2 & 0.026667 & 0.586667 & 2.666667 \tabularnewline
[1.29,1.3[ & 1.295 & 3 & 0.04 & 0.626667 & 4 \tabularnewline
[1.3,1.31[ & 1.305 & 2 & 0.026667 & 0.653333 & 2.666667 \tabularnewline
[1.31,1.32[ & 1.315 & 1 & 0.013333 & 0.666667 & 1.333333 \tabularnewline
[1.32,1.33[ & 1.325 & 4 & 0.053333 & 0.72 & 5.333333 \tabularnewline
[1.33,1.34[ & 1.335 & 1 & 0.013333 & 0.733333 & 1.333333 \tabularnewline
[1.34,1.35[ & 1.345 & 3 & 0.04 & 0.773333 & 4 \tabularnewline
[1.35,1.36[ & 1.355 & 2 & 0.026667 & 0.8 & 2.666667 \tabularnewline
[1.36,1.37[ & 1.365 & 1 & 0.013333 & 0.813333 & 1.333333 \tabularnewline
[1.37,1.38[ & 1.375 & 1 & 0.013333 & 0.826667 & 1.333333 \tabularnewline
[1.38,1.39[ & 1.385 & 1 & 0.013333 & 0.84 & 1.333333 \tabularnewline
[1.39,1.4[ & 1.395 & 0 & 0 & 0.84 & 0 \tabularnewline
[1.4,1.41[ & 1.405 & 0 & 0 & 0.84 & 0 \tabularnewline
[1.41,1.42[ & 1.415 & 0 & 0 & 0.84 & 0 \tabularnewline
[1.42,1.43[ & 1.425 & 1 & 0.013333 & 0.853333 & 1.333333 \tabularnewline
[1.43,1.44[ & 1.435 & 1 & 0.013333 & 0.866667 & 1.333333 \tabularnewline
[1.44,1.45[ & 1.445 & 0 & 0 & 0.866667 & 0 \tabularnewline
[1.45,1.46[ & 1.455 & 1 & 0.013333 & 0.88 & 1.333333 \tabularnewline
[1.46,1.47[ & 1.465 & 1 & 0.013333 & 0.893333 & 1.333333 \tabularnewline
[1.47,1.48[ & 1.475 & 2 & 0.026667 & 0.92 & 2.666667 \tabularnewline
[1.48,1.49[ & 1.485 & 0 & 0 & 0.92 & 0 \tabularnewline
[1.49,1.5[ & 1.495 & 1 & 0.013333 & 0.933333 & 1.333333 \tabularnewline
[1.5,1.51[ & 1.505 & 0 & 0 & 0.933333 & 0 \tabularnewline
[1.51,1.52[ & 1.515 & 0 & 0 & 0.933333 & 0 \tabularnewline
[1.52,1.53[ & 1.525 & 0 & 0 & 0.933333 & 0 \tabularnewline
[1.53,1.54[ & 1.535 & 0 & 0 & 0.933333 & 0 \tabularnewline
[1.54,1.55[ & 1.545 & 0 & 0 & 0.933333 & 0 \tabularnewline
[1.55,1.56[ & 1.555 & 3 & 0.04 & 0.973333 & 4 \tabularnewline
[1.56,1.57[ & 1.565 & 0 & 0 & 0.973333 & 0 \tabularnewline
[1.57,1.58] & 1.575 & 2 & 0.026667 & 1 & 2.666666 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37232&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][1,1.01[[/C][C]1.005[/C][C]1[/C][C]0.013333[/C][C]0.013333[/C][C]1.333333[/C][/ROW]
[ROW][C][1.01,1.02[[/C][C]1.015[/C][C]1[/C][C]0.013333[/C][C]0.026667[/C][C]1.333333[/C][/ROW]
[ROW][C][1.02,1.03[[/C][C]1.025[/C][C]0[/C][C]0[/C][C]0.026667[/C][C]0[/C][/ROW]
[ROW][C][1.03,1.04[[/C][C]1.035[/C][C]0[/C][C]0[/C][C]0.026667[/C][C]0[/C][/ROW]
[ROW][C][1.04,1.05[[/C][C]1.045[/C][C]0[/C][C]0[/C][C]0.026667[/C][C]0[/C][/ROW]
[ROW][C][1.05,1.06[[/C][C]1.055[/C][C]0[/C][C]0[/C][C]0.026667[/C][C]0[/C][/ROW]
[ROW][C][1.06,1.07[[/C][C]1.065[/C][C]1[/C][C]0.013333[/C][C]0.04[/C][C]1.333333[/C][/ROW]
[ROW][C][1.07,1.08[[/C][C]1.075[/C][C]1[/C][C]0.013333[/C][C]0.053333[/C][C]1.333333[/C][/ROW]
[ROW][C][1.08,1.09[[/C][C]1.085[/C][C]2[/C][C]0.026667[/C][C]0.08[/C][C]2.666667[/C][/ROW]
[ROW][C][1.09,1.1[[/C][C]1.095[/C][C]0[/C][C]0[/C][C]0.08[/C][C]0[/C][/ROW]
[ROW][C][1.1,1.11[[/C][C]1.105[/C][C]0[/C][C]0[/C][C]0.08[/C][C]0[/C][/ROW]
[ROW][C][1.11,1.12[[/C][C]1.115[/C][C]1[/C][C]0.013333[/C][C]0.093333[/C][C]1.333333[/C][/ROW]
[ROW][C][1.12,1.13[[/C][C]1.125[/C][C]1[/C][C]0.013333[/C][C]0.106667[/C][C]1.333333[/C][/ROW]
[ROW][C][1.13,1.14[[/C][C]1.135[/C][C]1[/C][C]0.013333[/C][C]0.12[/C][C]1.333333[/C][/ROW]
[ROW][C][1.14,1.15[[/C][C]1.145[/C][C]0[/C][C]0[/C][C]0.12[/C][C]0[/C][/ROW]
[ROW][C][1.15,1.16[[/C][C]1.155[/C][C]1[/C][C]0.013333[/C][C]0.133333[/C][C]1.333333[/C][/ROW]
[ROW][C][1.16,1.17[[/C][C]1.165[/C][C]2[/C][C]0.026667[/C][C]0.16[/C][C]2.666667[/C][/ROW]
[ROW][C][1.17,1.18[[/C][C]1.175[/C][C]2[/C][C]0.026667[/C][C]0.186667[/C][C]2.666667[/C][/ROW]
[ROW][C][1.18,1.19[[/C][C]1.185[/C][C]1[/C][C]0.013333[/C][C]0.2[/C][C]1.333333[/C][/ROW]
[ROW][C][1.19,1.2[[/C][C]1.195[/C][C]2[/C][C]0.026667[/C][C]0.226667[/C][C]2.666667[/C][/ROW]
[ROW][C][1.2,1.21[[/C][C]1.205[/C][C]4[/C][C]0.053333[/C][C]0.28[/C][C]5.333333[/C][/ROW]
[ROW][C][1.21,1.22[[/C][C]1.215[/C][C]4[/C][C]0.053333[/C][C]0.333333[/C][C]5.333333[/C][/ROW]
[ROW][C][1.22,1.23[[/C][C]1.225[/C][C]7[/C][C]0.093333[/C][C]0.426667[/C][C]9.333333[/C][/ROW]
[ROW][C][1.23,1.24[[/C][C]1.235[/C][C]0[/C][C]0[/C][C]0.426667[/C][C]0[/C][/ROW]
[ROW][C][1.24,1.25[[/C][C]1.245[/C][C]1[/C][C]0.013333[/C][C]0.44[/C][C]1.333333[/C][/ROW]
[ROW][C][1.25,1.26[[/C][C]1.255[/C][C]0[/C][C]0[/C][C]0.44[/C][C]0[/C][/ROW]
[ROW][C][1.26,1.27[[/C][C]1.265[/C][C]6[/C][C]0.08[/C][C]0.52[/C][C]8[/C][/ROW]
[ROW][C][1.27,1.28[[/C][C]1.275[/C][C]3[/C][C]0.04[/C][C]0.56[/C][C]4[/C][/ROW]
[ROW][C][1.28,1.29[[/C][C]1.285[/C][C]2[/C][C]0.026667[/C][C]0.586667[/C][C]2.666667[/C][/ROW]
[ROW][C][1.29,1.3[[/C][C]1.295[/C][C]3[/C][C]0.04[/C][C]0.626667[/C][C]4[/C][/ROW]
[ROW][C][1.3,1.31[[/C][C]1.305[/C][C]2[/C][C]0.026667[/C][C]0.653333[/C][C]2.666667[/C][/ROW]
[ROW][C][1.31,1.32[[/C][C]1.315[/C][C]1[/C][C]0.013333[/C][C]0.666667[/C][C]1.333333[/C][/ROW]
[ROW][C][1.32,1.33[[/C][C]1.325[/C][C]4[/C][C]0.053333[/C][C]0.72[/C][C]5.333333[/C][/ROW]
[ROW][C][1.33,1.34[[/C][C]1.335[/C][C]1[/C][C]0.013333[/C][C]0.733333[/C][C]1.333333[/C][/ROW]
[ROW][C][1.34,1.35[[/C][C]1.345[/C][C]3[/C][C]0.04[/C][C]0.773333[/C][C]4[/C][/ROW]
[ROW][C][1.35,1.36[[/C][C]1.355[/C][C]2[/C][C]0.026667[/C][C]0.8[/C][C]2.666667[/C][/ROW]
[ROW][C][1.36,1.37[[/C][C]1.365[/C][C]1[/C][C]0.013333[/C][C]0.813333[/C][C]1.333333[/C][/ROW]
[ROW][C][1.37,1.38[[/C][C]1.375[/C][C]1[/C][C]0.013333[/C][C]0.826667[/C][C]1.333333[/C][/ROW]
[ROW][C][1.38,1.39[[/C][C]1.385[/C][C]1[/C][C]0.013333[/C][C]0.84[/C][C]1.333333[/C][/ROW]
[ROW][C][1.39,1.4[[/C][C]1.395[/C][C]0[/C][C]0[/C][C]0.84[/C][C]0[/C][/ROW]
[ROW][C][1.4,1.41[[/C][C]1.405[/C][C]0[/C][C]0[/C][C]0.84[/C][C]0[/C][/ROW]
[ROW][C][1.41,1.42[[/C][C]1.415[/C][C]0[/C][C]0[/C][C]0.84[/C][C]0[/C][/ROW]
[ROW][C][1.42,1.43[[/C][C]1.425[/C][C]1[/C][C]0.013333[/C][C]0.853333[/C][C]1.333333[/C][/ROW]
[ROW][C][1.43,1.44[[/C][C]1.435[/C][C]1[/C][C]0.013333[/C][C]0.866667[/C][C]1.333333[/C][/ROW]
[ROW][C][1.44,1.45[[/C][C]1.445[/C][C]0[/C][C]0[/C][C]0.866667[/C][C]0[/C][/ROW]
[ROW][C][1.45,1.46[[/C][C]1.455[/C][C]1[/C][C]0.013333[/C][C]0.88[/C][C]1.333333[/C][/ROW]
[ROW][C][1.46,1.47[[/C][C]1.465[/C][C]1[/C][C]0.013333[/C][C]0.893333[/C][C]1.333333[/C][/ROW]
[ROW][C][1.47,1.48[[/C][C]1.475[/C][C]2[/C][C]0.026667[/C][C]0.92[/C][C]2.666667[/C][/ROW]
[ROW][C][1.48,1.49[[/C][C]1.485[/C][C]0[/C][C]0[/C][C]0.92[/C][C]0[/C][/ROW]
[ROW][C][1.49,1.5[[/C][C]1.495[/C][C]1[/C][C]0.013333[/C][C]0.933333[/C][C]1.333333[/C][/ROW]
[ROW][C][1.5,1.51[[/C][C]1.505[/C][C]0[/C][C]0[/C][C]0.933333[/C][C]0[/C][/ROW]
[ROW][C][1.51,1.52[[/C][C]1.515[/C][C]0[/C][C]0[/C][C]0.933333[/C][C]0[/C][/ROW]
[ROW][C][1.52,1.53[[/C][C]1.525[/C][C]0[/C][C]0[/C][C]0.933333[/C][C]0[/C][/ROW]
[ROW][C][1.53,1.54[[/C][C]1.535[/C][C]0[/C][C]0[/C][C]0.933333[/C][C]0[/C][/ROW]
[ROW][C][1.54,1.55[[/C][C]1.545[/C][C]0[/C][C]0[/C][C]0.933333[/C][C]0[/C][/ROW]
[ROW][C][1.55,1.56[[/C][C]1.555[/C][C]3[/C][C]0.04[/C][C]0.973333[/C][C]4[/C][/ROW]
[ROW][C][1.56,1.57[[/C][C]1.565[/C][C]0[/C][C]0[/C][C]0.973333[/C][C]0[/C][/ROW]
[ROW][C][1.57,1.58][/C][C]1.575[/C][C]2[/C][C]0.026667[/C][C]1[/C][C]2.666666[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37232&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37232&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
[1,1.01[1.00510.0133330.0133331.333333
[1.01,1.02[1.01510.0133330.0266671.333333
[1.02,1.03[1.025000.0266670
[1.03,1.04[1.035000.0266670
[1.04,1.05[1.045000.0266670
[1.05,1.06[1.055000.0266670
[1.06,1.07[1.06510.0133330.041.333333
[1.07,1.08[1.07510.0133330.0533331.333333
[1.08,1.09[1.08520.0266670.082.666667
[1.09,1.1[1.095000.080
[1.1,1.11[1.105000.080
[1.11,1.12[1.11510.0133330.0933331.333333
[1.12,1.13[1.12510.0133330.1066671.333333
[1.13,1.14[1.13510.0133330.121.333333
[1.14,1.15[1.145000.120
[1.15,1.16[1.15510.0133330.1333331.333333
[1.16,1.17[1.16520.0266670.162.666667
[1.17,1.18[1.17520.0266670.1866672.666667
[1.18,1.19[1.18510.0133330.21.333333
[1.19,1.2[1.19520.0266670.2266672.666667
[1.2,1.21[1.20540.0533330.285.333333
[1.21,1.22[1.21540.0533330.3333335.333333
[1.22,1.23[1.22570.0933330.4266679.333333
[1.23,1.24[1.235000.4266670
[1.24,1.25[1.24510.0133330.441.333333
[1.25,1.26[1.255000.440
[1.26,1.27[1.26560.080.528
[1.27,1.28[1.27530.040.564
[1.28,1.29[1.28520.0266670.5866672.666667
[1.29,1.3[1.29530.040.6266674
[1.3,1.31[1.30520.0266670.6533332.666667
[1.31,1.32[1.31510.0133330.6666671.333333
[1.32,1.33[1.32540.0533330.725.333333
[1.33,1.34[1.33510.0133330.7333331.333333
[1.34,1.35[1.34530.040.7733334
[1.35,1.36[1.35520.0266670.82.666667
[1.36,1.37[1.36510.0133330.8133331.333333
[1.37,1.38[1.37510.0133330.8266671.333333
[1.38,1.39[1.38510.0133330.841.333333
[1.39,1.4[1.395000.840
[1.4,1.41[1.405000.840
[1.41,1.42[1.415000.840
[1.42,1.43[1.42510.0133330.8533331.333333
[1.43,1.44[1.43510.0133330.8666671.333333
[1.44,1.45[1.445000.8666670
[1.45,1.46[1.45510.0133330.881.333333
[1.46,1.47[1.46510.0133330.8933331.333333
[1.47,1.48[1.47520.0266670.922.666667
[1.48,1.49[1.485000.920
[1.49,1.5[1.49510.0133330.9333331.333333
[1.5,1.51[1.505000.9333330
[1.51,1.52[1.515000.9333330
[1.52,1.53[1.525000.9333330
[1.53,1.54[1.535000.9333330
[1.54,1.55[1.545000.9333330
[1.55,1.56[1.55530.040.9733334
[1.56,1.57[1.565000.9733330
[1.57,1.58]1.57520.02666712.666666



Parameters (Session):
par1 = 75 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 75 ; 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')