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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 06 Mar 2009 04:04:41 -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/Mar/06/t1236337551unp366gm0mip9ao.htm/, Retrieved Thu, 02 May 2024 21:08:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38632, Retrieved Thu, 02 May 2024 21:08:54 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact228
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Gemiddelde gasoli...] [2009-02-13 08:25:10] [74be16979710d4c4e7c6647856088456]
- RMPD    [Histogram] [mauro de colfmake...] [2009-03-06 11:04:41] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
0.22
0.22
0.2
0.21
0.21
0.19
0.19
0.18
0.18
0.19
0.18
0.17
0.17
0.17
0.18
0.2
0.2
0.2
0.22
0.23
0.25
0.25
0.27
0.29
0.3
0.31
0.33
0.31
0.33
0.33
0.35
0.37
0.47
0.45
0.45
0.4
0.34
0.35
0.34
0.35
0.36
0.37
0.36
0.35
0.36
0.33
0.3
0.28
0.28
0.28
0.3
0.32
0.32
0.3
0.3
0.31
0.33
0.34
0.31
0.33
0.35
0.38
0.4
0.32
0.29
0.3
0.3
0.32
0.32
0.32
0.32
0.32
0.33
0.31
0.33
0.35
0.37
0.37
0.38
0.42
0.42
0.49
0.45
0.41
0.4
0.42
0.47
0.49
0.47
0.52
0.56
0.57
0.61
0.52
0.5
0.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38632&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38632&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38632&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0.17,0.18[0.17530.031250.031253.125
[0.18,0.19[0.18540.0416670.0729174.166667
[0.19,0.2[0.19530.031250.1041673.125
[0.2,0.21[0.20540.0416670.1458334.166667
[0.21,0.22[0.21520.0208330.1666672.083333
[0.22,0.23[0.22530.031250.1979173.125
[0.23,0.24[0.23510.0104170.2083331.041667
[0.24,0.25[0.245000.2083330
[0.25,0.26[0.25520.0208330.2291672.083333
[0.26,0.27[0.265000.2291670
[0.27,0.28[0.27510.0104170.2395831.041667
[0.28,0.29[0.28530.031250.2708333.125
[0.29,0.3[0.29520.0208330.2916672.083333
[0.3,0.31[0.30570.0729170.3645837.291667
[0.31,0.32[0.31550.0520830.4166675.208333
[0.32,0.33[0.32580.0833330.58.333333
[0.33,0.34[0.33580.0833330.5833338.333333
[0.34,0.35[0.34530.031250.6145833.125
[0.35,0.36[0.35560.06250.6770836.25
[0.36,0.37[0.36530.031250.7083333.125
[0.37,0.38[0.37540.0416670.754.166667
[0.38,0.39[0.38520.0208330.7708332.083333
[0.39,0.4[0.395000.7708330
[0.4,0.41[0.40530.031250.8020833.125
[0.41,0.42[0.41510.0104170.81251.041667
[0.42,0.43[0.42530.031250.843753.125
[0.43,0.44[0.435000.843750
[0.44,0.45[0.445000.843750
[0.45,0.46[0.45530.031250.8753.125
[0.46,0.47[0.465000.8750
[0.47,0.48[0.47530.031250.906253.125
[0.48,0.49[0.485000.906250
[0.49,0.5[0.49520.0208330.9270832.083333
[0.5,0.51[0.50520.0208330.9479172.083333
[0.51,0.52[0.515000.9479170
[0.52,0.53[0.52520.0208330.968752.083333
[0.53,0.54[0.535000.968750
[0.54,0.55[0.545000.968750
[0.55,0.56[0.555000.968750
[0.56,0.57[0.56510.0104170.9791671.041667
[0.57,0.58[0.57510.0104170.9895831.041667
[0.58,0.59[0.585000.9895830
[0.59,0.6[0.595000.9895830
[0.6,0.61]0.60510.01041711.041666

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.17,0.18[ & 0.175 & 3 & 0.03125 & 0.03125 & 3.125 \tabularnewline
[0.18,0.19[ & 0.185 & 4 & 0.041667 & 0.072917 & 4.166667 \tabularnewline
[0.19,0.2[ & 0.195 & 3 & 0.03125 & 0.104167 & 3.125 \tabularnewline
[0.2,0.21[ & 0.205 & 4 & 0.041667 & 0.145833 & 4.166667 \tabularnewline
[0.21,0.22[ & 0.215 & 2 & 0.020833 & 0.166667 & 2.083333 \tabularnewline
[0.22,0.23[ & 0.225 & 3 & 0.03125 & 0.197917 & 3.125 \tabularnewline
[0.23,0.24[ & 0.235 & 1 & 0.010417 & 0.208333 & 1.041667 \tabularnewline
[0.24,0.25[ & 0.245 & 0 & 0 & 0.208333 & 0 \tabularnewline
[0.25,0.26[ & 0.255 & 2 & 0.020833 & 0.229167 & 2.083333 \tabularnewline
[0.26,0.27[ & 0.265 & 0 & 0 & 0.229167 & 0 \tabularnewline
[0.27,0.28[ & 0.275 & 1 & 0.010417 & 0.239583 & 1.041667 \tabularnewline
[0.28,0.29[ & 0.285 & 3 & 0.03125 & 0.270833 & 3.125 \tabularnewline
[0.29,0.3[ & 0.295 & 2 & 0.020833 & 0.291667 & 2.083333 \tabularnewline
[0.3,0.31[ & 0.305 & 7 & 0.072917 & 0.364583 & 7.291667 \tabularnewline
[0.31,0.32[ & 0.315 & 5 & 0.052083 & 0.416667 & 5.208333 \tabularnewline
[0.32,0.33[ & 0.325 & 8 & 0.083333 & 0.5 & 8.333333 \tabularnewline
[0.33,0.34[ & 0.335 & 8 & 0.083333 & 0.583333 & 8.333333 \tabularnewline
[0.34,0.35[ & 0.345 & 3 & 0.03125 & 0.614583 & 3.125 \tabularnewline
[0.35,0.36[ & 0.355 & 6 & 0.0625 & 0.677083 & 6.25 \tabularnewline
[0.36,0.37[ & 0.365 & 3 & 0.03125 & 0.708333 & 3.125 \tabularnewline
[0.37,0.38[ & 0.375 & 4 & 0.041667 & 0.75 & 4.166667 \tabularnewline
[0.38,0.39[ & 0.385 & 2 & 0.020833 & 0.770833 & 2.083333 \tabularnewline
[0.39,0.4[ & 0.395 & 0 & 0 & 0.770833 & 0 \tabularnewline
[0.4,0.41[ & 0.405 & 3 & 0.03125 & 0.802083 & 3.125 \tabularnewline
[0.41,0.42[ & 0.415 & 1 & 0.010417 & 0.8125 & 1.041667 \tabularnewline
[0.42,0.43[ & 0.425 & 3 & 0.03125 & 0.84375 & 3.125 \tabularnewline
[0.43,0.44[ & 0.435 & 0 & 0 & 0.84375 & 0 \tabularnewline
[0.44,0.45[ & 0.445 & 0 & 0 & 0.84375 & 0 \tabularnewline
[0.45,0.46[ & 0.455 & 3 & 0.03125 & 0.875 & 3.125 \tabularnewline
[0.46,0.47[ & 0.465 & 0 & 0 & 0.875 & 0 \tabularnewline
[0.47,0.48[ & 0.475 & 3 & 0.03125 & 0.90625 & 3.125 \tabularnewline
[0.48,0.49[ & 0.485 & 0 & 0 & 0.90625 & 0 \tabularnewline
[0.49,0.5[ & 0.495 & 2 & 0.020833 & 0.927083 & 2.083333 \tabularnewline
[0.5,0.51[ & 0.505 & 2 & 0.020833 & 0.947917 & 2.083333 \tabularnewline
[0.51,0.52[ & 0.515 & 0 & 0 & 0.947917 & 0 \tabularnewline
[0.52,0.53[ & 0.525 & 2 & 0.020833 & 0.96875 & 2.083333 \tabularnewline
[0.53,0.54[ & 0.535 & 0 & 0 & 0.96875 & 0 \tabularnewline
[0.54,0.55[ & 0.545 & 0 & 0 & 0.96875 & 0 \tabularnewline
[0.55,0.56[ & 0.555 & 0 & 0 & 0.96875 & 0 \tabularnewline
[0.56,0.57[ & 0.565 & 1 & 0.010417 & 0.979167 & 1.041667 \tabularnewline
[0.57,0.58[ & 0.575 & 1 & 0.010417 & 0.989583 & 1.041667 \tabularnewline
[0.58,0.59[ & 0.585 & 0 & 0 & 0.989583 & 0 \tabularnewline
[0.59,0.6[ & 0.595 & 0 & 0 & 0.989583 & 0 \tabularnewline
[0.6,0.61] & 0.605 & 1 & 0.010417 & 1 & 1.041666 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38632&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][0.17,0.18[[/C][C]0.175[/C][C]3[/C][C]0.03125[/C][C]0.03125[/C][C]3.125[/C][/ROW]
[ROW][C][0.18,0.19[[/C][C]0.185[/C][C]4[/C][C]0.041667[/C][C]0.072917[/C][C]4.166667[/C][/ROW]
[ROW][C][0.19,0.2[[/C][C]0.195[/C][C]3[/C][C]0.03125[/C][C]0.104167[/C][C]3.125[/C][/ROW]
[ROW][C][0.2,0.21[[/C][C]0.205[/C][C]4[/C][C]0.041667[/C][C]0.145833[/C][C]4.166667[/C][/ROW]
[ROW][C][0.21,0.22[[/C][C]0.215[/C][C]2[/C][C]0.020833[/C][C]0.166667[/C][C]2.083333[/C][/ROW]
[ROW][C][0.22,0.23[[/C][C]0.225[/C][C]3[/C][C]0.03125[/C][C]0.197917[/C][C]3.125[/C][/ROW]
[ROW][C][0.23,0.24[[/C][C]0.235[/C][C]1[/C][C]0.010417[/C][C]0.208333[/C][C]1.041667[/C][/ROW]
[ROW][C][0.24,0.25[[/C][C]0.245[/C][C]0[/C][C]0[/C][C]0.208333[/C][C]0[/C][/ROW]
[ROW][C][0.25,0.26[[/C][C]0.255[/C][C]2[/C][C]0.020833[/C][C]0.229167[/C][C]2.083333[/C][/ROW]
[ROW][C][0.26,0.27[[/C][C]0.265[/C][C]0[/C][C]0[/C][C]0.229167[/C][C]0[/C][/ROW]
[ROW][C][0.27,0.28[[/C][C]0.275[/C][C]1[/C][C]0.010417[/C][C]0.239583[/C][C]1.041667[/C][/ROW]
[ROW][C][0.28,0.29[[/C][C]0.285[/C][C]3[/C][C]0.03125[/C][C]0.270833[/C][C]3.125[/C][/ROW]
[ROW][C][0.29,0.3[[/C][C]0.295[/C][C]2[/C][C]0.020833[/C][C]0.291667[/C][C]2.083333[/C][/ROW]
[ROW][C][0.3,0.31[[/C][C]0.305[/C][C]7[/C][C]0.072917[/C][C]0.364583[/C][C]7.291667[/C][/ROW]
[ROW][C][0.31,0.32[[/C][C]0.315[/C][C]5[/C][C]0.052083[/C][C]0.416667[/C][C]5.208333[/C][/ROW]
[ROW][C][0.32,0.33[[/C][C]0.325[/C][C]8[/C][C]0.083333[/C][C]0.5[/C][C]8.333333[/C][/ROW]
[ROW][C][0.33,0.34[[/C][C]0.335[/C][C]8[/C][C]0.083333[/C][C]0.583333[/C][C]8.333333[/C][/ROW]
[ROW][C][0.34,0.35[[/C][C]0.345[/C][C]3[/C][C]0.03125[/C][C]0.614583[/C][C]3.125[/C][/ROW]
[ROW][C][0.35,0.36[[/C][C]0.355[/C][C]6[/C][C]0.0625[/C][C]0.677083[/C][C]6.25[/C][/ROW]
[ROW][C][0.36,0.37[[/C][C]0.365[/C][C]3[/C][C]0.03125[/C][C]0.708333[/C][C]3.125[/C][/ROW]
[ROW][C][0.37,0.38[[/C][C]0.375[/C][C]4[/C][C]0.041667[/C][C]0.75[/C][C]4.166667[/C][/ROW]
[ROW][C][0.38,0.39[[/C][C]0.385[/C][C]2[/C][C]0.020833[/C][C]0.770833[/C][C]2.083333[/C][/ROW]
[ROW][C][0.39,0.4[[/C][C]0.395[/C][C]0[/C][C]0[/C][C]0.770833[/C][C]0[/C][/ROW]
[ROW][C][0.4,0.41[[/C][C]0.405[/C][C]3[/C][C]0.03125[/C][C]0.802083[/C][C]3.125[/C][/ROW]
[ROW][C][0.41,0.42[[/C][C]0.415[/C][C]1[/C][C]0.010417[/C][C]0.8125[/C][C]1.041667[/C][/ROW]
[ROW][C][0.42,0.43[[/C][C]0.425[/C][C]3[/C][C]0.03125[/C][C]0.84375[/C][C]3.125[/C][/ROW]
[ROW][C][0.43,0.44[[/C][C]0.435[/C][C]0[/C][C]0[/C][C]0.84375[/C][C]0[/C][/ROW]
[ROW][C][0.44,0.45[[/C][C]0.445[/C][C]0[/C][C]0[/C][C]0.84375[/C][C]0[/C][/ROW]
[ROW][C][0.45,0.46[[/C][C]0.455[/C][C]3[/C][C]0.03125[/C][C]0.875[/C][C]3.125[/C][/ROW]
[ROW][C][0.46,0.47[[/C][C]0.465[/C][C]0[/C][C]0[/C][C]0.875[/C][C]0[/C][/ROW]
[ROW][C][0.47,0.48[[/C][C]0.475[/C][C]3[/C][C]0.03125[/C][C]0.90625[/C][C]3.125[/C][/ROW]
[ROW][C][0.48,0.49[[/C][C]0.485[/C][C]0[/C][C]0[/C][C]0.90625[/C][C]0[/C][/ROW]
[ROW][C][0.49,0.5[[/C][C]0.495[/C][C]2[/C][C]0.020833[/C][C]0.927083[/C][C]2.083333[/C][/ROW]
[ROW][C][0.5,0.51[[/C][C]0.505[/C][C]2[/C][C]0.020833[/C][C]0.947917[/C][C]2.083333[/C][/ROW]
[ROW][C][0.51,0.52[[/C][C]0.515[/C][C]0[/C][C]0[/C][C]0.947917[/C][C]0[/C][/ROW]
[ROW][C][0.52,0.53[[/C][C]0.525[/C][C]2[/C][C]0.020833[/C][C]0.96875[/C][C]2.083333[/C][/ROW]
[ROW][C][0.53,0.54[[/C][C]0.535[/C][C]0[/C][C]0[/C][C]0.96875[/C][C]0[/C][/ROW]
[ROW][C][0.54,0.55[[/C][C]0.545[/C][C]0[/C][C]0[/C][C]0.96875[/C][C]0[/C][/ROW]
[ROW][C][0.55,0.56[[/C][C]0.555[/C][C]0[/C][C]0[/C][C]0.96875[/C][C]0[/C][/ROW]
[ROW][C][0.56,0.57[[/C][C]0.565[/C][C]1[/C][C]0.010417[/C][C]0.979167[/C][C]1.041667[/C][/ROW]
[ROW][C][0.57,0.58[[/C][C]0.575[/C][C]1[/C][C]0.010417[/C][C]0.989583[/C][C]1.041667[/C][/ROW]
[ROW][C][0.58,0.59[[/C][C]0.585[/C][C]0[/C][C]0[/C][C]0.989583[/C][C]0[/C][/ROW]
[ROW][C][0.59,0.6[[/C][C]0.595[/C][C]0[/C][C]0[/C][C]0.989583[/C][C]0[/C][/ROW]
[ROW][C][0.6,0.61][/C][C]0.605[/C][C]1[/C][C]0.010417[/C][C]1[/C][C]1.041666[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38632&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38632&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
[0.17,0.18[0.17530.031250.031253.125
[0.18,0.19[0.18540.0416670.0729174.166667
[0.19,0.2[0.19530.031250.1041673.125
[0.2,0.21[0.20540.0416670.1458334.166667
[0.21,0.22[0.21520.0208330.1666672.083333
[0.22,0.23[0.22530.031250.1979173.125
[0.23,0.24[0.23510.0104170.2083331.041667
[0.24,0.25[0.245000.2083330
[0.25,0.26[0.25520.0208330.2291672.083333
[0.26,0.27[0.265000.2291670
[0.27,0.28[0.27510.0104170.2395831.041667
[0.28,0.29[0.28530.031250.2708333.125
[0.29,0.3[0.29520.0208330.2916672.083333
[0.3,0.31[0.30570.0729170.3645837.291667
[0.31,0.32[0.31550.0520830.4166675.208333
[0.32,0.33[0.32580.0833330.58.333333
[0.33,0.34[0.33580.0833330.5833338.333333
[0.34,0.35[0.34530.031250.6145833.125
[0.35,0.36[0.35560.06250.6770836.25
[0.36,0.37[0.36530.031250.7083333.125
[0.37,0.38[0.37540.0416670.754.166667
[0.38,0.39[0.38520.0208330.7708332.083333
[0.39,0.4[0.395000.7708330
[0.4,0.41[0.40530.031250.8020833.125
[0.41,0.42[0.41510.0104170.81251.041667
[0.42,0.43[0.42530.031250.843753.125
[0.43,0.44[0.435000.843750
[0.44,0.45[0.445000.843750
[0.45,0.46[0.45530.031250.8753.125
[0.46,0.47[0.465000.8750
[0.47,0.48[0.47530.031250.906253.125
[0.48,0.49[0.485000.906250
[0.49,0.5[0.49520.0208330.9270832.083333
[0.5,0.51[0.50520.0208330.9479172.083333
[0.51,0.52[0.515000.9479170
[0.52,0.53[0.52520.0208330.968752.083333
[0.53,0.54[0.535000.968750
[0.54,0.55[0.545000.968750
[0.55,0.56[0.555000.968750
[0.56,0.57[0.56510.0104170.9791671.041667
[0.57,0.58[0.57510.0104170.9895831.041667
[0.58,0.59[0.585000.9895830
[0.59,0.6[0.595000.9895830
[0.6,0.61]0.60510.01041711.041666



Parameters (Session):
par1 = 30 ; 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.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')