Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 04 May 2015 11:35:05 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/May/04/t1430735825siolugtk5urqpnj.htm/, Retrieved Sat, 04 May 2024 03:59:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279021, Retrieved Sat, 04 May 2024 03:59:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2015-01-29 10:39:51] [43a2f000083f7295d897313060757d3a]
- RMP   [Histogram] [consumentenvertro...] [2015-02-02 11:04:56] [43a2f000083f7295d897313060757d3a]
- R       [Histogram] [] [2015-05-04 10:20:10] [43a2f000083f7295d897313060757d3a]
-   P         [Histogram] [] [2015-05-04 10:35:05] [e6344a6a1a33122c0bdf1792ef294740] [Current]
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Dataseries X:
-4
-5
-6
-6
-7
-12
-16
-18
-19
-20
-24
-17
-23
-25
-24
-17
-14
-16
-13
-10
-10
-12
-12
-20
-16
-12
-14
-7
-9
-9
-4
-3
1
-1
-2
1
-3
-2
0
-2
-4
-4
-7
-9
-13
-8
-13
-15
-15
-15
-10
-12
-11
-11
-17
-18
-19
-22
-24
-24
-20
-25
-22
-17
-9
-11
-13
-11
-9
-7
-3
-3
-6
-4
-8
-1
-2
-2
-1
1
2
2
-1
1
-1
-8
1
2
-2
-2
-2
-2
-6
-4
-5
-2
-1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279021&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279021&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279021&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 time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-25,-24.5[-24.7520.0206190.0206190.041237
[-24.5,-24[-24.25000.0206190
[-24,-23.5[-23.7540.0412370.0618560.082474
[-23.5,-23[-23.25000.0618560
[-23,-22.5[-22.7510.0103090.0721650.020619
[-22.5,-22[-22.25000.0721650
[-22,-21.5[-21.7520.0206190.0927840.041237
[-21.5,-21[-21.25000.0927840
[-21,-20.5[-20.75000.0927840
[-20.5,-20[-20.25000.0927840
[-20,-19.5[-19.7530.0309280.1237110.061856
[-19.5,-19[-19.25000.1237110
[-19,-18.5[-18.7520.0206190.144330.041237
[-18.5,-18[-18.25000.144330
[-18,-17.5[-17.7520.0206190.1649480.041237
[-17.5,-17[-17.25000.1649480
[-17,-16.5[-16.7540.0412370.2061860.082474
[-16.5,-16[-16.25000.2061860
[-16,-15.5[-15.7530.0309280.2371130.061856
[-15.5,-15[-15.25000.2371130
[-15,-14.5[-14.7530.0309280.2680410.061856
[-14.5,-14[-14.25000.2680410
[-14,-13.5[-13.7520.0206190.288660.041237
[-13.5,-13[-13.25000.288660
[-13,-12.5[-12.7540.0412370.3298970.082474
[-12.5,-12[-12.25000.3298970
[-12,-11.5[-11.7550.0515460.3814430.103093
[-11.5,-11[-11.25000.3814430
[-11,-10.5[-10.7540.0412370.422680.082474
[-10.5,-10[-10.25000.422680
[-10,-9.5[-9.7530.0309280.4536080.061856
[-9.5,-9[-9.25000.4536080
[-9,-8.5[-8.7550.0515460.5051550.103093
[-8.5,-8[-8.25000.5051550
[-8,-7.5[-7.7530.0309280.5360820.061856
[-7.5,-7[-7.25000.5360820
[-7,-6.5[-6.7540.0412370.577320.082474
[-6.5,-6[-6.25000.577320
[-6,-5.5[-5.7540.0412370.6185570.082474
[-5.5,-5[-5.25000.6185570
[-5,-4.5[-4.7520.0206190.6391750.041237
[-4.5,-4[-4.25000.6391750
[-4,-3.5[-3.7560.0618560.7010310.123711
[-3.5,-3[-3.25000.7010310
[-3,-2.5[-2.7540.0412370.7422680.082474
[-2.5,-2[-2.25000.7422680
[-2,-1.5[-1.75100.1030930.8453610.206186
[-1.5,-1[-1.25000.8453610
[-1,-0.5[-0.7560.0618560.9072160.123711
[-0.5,0[-0.25000.9072160
[0,0.5[0.2510.0103090.9175260.020619
[0.5,1[0.75000.9175260
[1,1.5[1.2550.0515460.9690720.103093
[1.5,2]1.7530.03092810.061856

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-25,-24.5[ & -24.75 & 2 & 0.020619 & 0.020619 & 0.041237 \tabularnewline
[-24.5,-24[ & -24.25 & 0 & 0 & 0.020619 & 0 \tabularnewline
[-24,-23.5[ & -23.75 & 4 & 0.041237 & 0.061856 & 0.082474 \tabularnewline
[-23.5,-23[ & -23.25 & 0 & 0 & 0.061856 & 0 \tabularnewline
[-23,-22.5[ & -22.75 & 1 & 0.010309 & 0.072165 & 0.020619 \tabularnewline
[-22.5,-22[ & -22.25 & 0 & 0 & 0.072165 & 0 \tabularnewline
[-22,-21.5[ & -21.75 & 2 & 0.020619 & 0.092784 & 0.041237 \tabularnewline
[-21.5,-21[ & -21.25 & 0 & 0 & 0.092784 & 0 \tabularnewline
[-21,-20.5[ & -20.75 & 0 & 0 & 0.092784 & 0 \tabularnewline
[-20.5,-20[ & -20.25 & 0 & 0 & 0.092784 & 0 \tabularnewline
[-20,-19.5[ & -19.75 & 3 & 0.030928 & 0.123711 & 0.061856 \tabularnewline
[-19.5,-19[ & -19.25 & 0 & 0 & 0.123711 & 0 \tabularnewline
[-19,-18.5[ & -18.75 & 2 & 0.020619 & 0.14433 & 0.041237 \tabularnewline
[-18.5,-18[ & -18.25 & 0 & 0 & 0.14433 & 0 \tabularnewline
[-18,-17.5[ & -17.75 & 2 & 0.020619 & 0.164948 & 0.041237 \tabularnewline
[-17.5,-17[ & -17.25 & 0 & 0 & 0.164948 & 0 \tabularnewline
[-17,-16.5[ & -16.75 & 4 & 0.041237 & 0.206186 & 0.082474 \tabularnewline
[-16.5,-16[ & -16.25 & 0 & 0 & 0.206186 & 0 \tabularnewline
[-16,-15.5[ & -15.75 & 3 & 0.030928 & 0.237113 & 0.061856 \tabularnewline
[-15.5,-15[ & -15.25 & 0 & 0 & 0.237113 & 0 \tabularnewline
[-15,-14.5[ & -14.75 & 3 & 0.030928 & 0.268041 & 0.061856 \tabularnewline
[-14.5,-14[ & -14.25 & 0 & 0 & 0.268041 & 0 \tabularnewline
[-14,-13.5[ & -13.75 & 2 & 0.020619 & 0.28866 & 0.041237 \tabularnewline
[-13.5,-13[ & -13.25 & 0 & 0 & 0.28866 & 0 \tabularnewline
[-13,-12.5[ & -12.75 & 4 & 0.041237 & 0.329897 & 0.082474 \tabularnewline
[-12.5,-12[ & -12.25 & 0 & 0 & 0.329897 & 0 \tabularnewline
[-12,-11.5[ & -11.75 & 5 & 0.051546 & 0.381443 & 0.103093 \tabularnewline
[-11.5,-11[ & -11.25 & 0 & 0 & 0.381443 & 0 \tabularnewline
[-11,-10.5[ & -10.75 & 4 & 0.041237 & 0.42268 & 0.082474 \tabularnewline
[-10.5,-10[ & -10.25 & 0 & 0 & 0.42268 & 0 \tabularnewline
[-10,-9.5[ & -9.75 & 3 & 0.030928 & 0.453608 & 0.061856 \tabularnewline
[-9.5,-9[ & -9.25 & 0 & 0 & 0.453608 & 0 \tabularnewline
[-9,-8.5[ & -8.75 & 5 & 0.051546 & 0.505155 & 0.103093 \tabularnewline
[-8.5,-8[ & -8.25 & 0 & 0 & 0.505155 & 0 \tabularnewline
[-8,-7.5[ & -7.75 & 3 & 0.030928 & 0.536082 & 0.061856 \tabularnewline
[-7.5,-7[ & -7.25 & 0 & 0 & 0.536082 & 0 \tabularnewline
[-7,-6.5[ & -6.75 & 4 & 0.041237 & 0.57732 & 0.082474 \tabularnewline
[-6.5,-6[ & -6.25 & 0 & 0 & 0.57732 & 0 \tabularnewline
[-6,-5.5[ & -5.75 & 4 & 0.041237 & 0.618557 & 0.082474 \tabularnewline
[-5.5,-5[ & -5.25 & 0 & 0 & 0.618557 & 0 \tabularnewline
[-5,-4.5[ & -4.75 & 2 & 0.020619 & 0.639175 & 0.041237 \tabularnewline
[-4.5,-4[ & -4.25 & 0 & 0 & 0.639175 & 0 \tabularnewline
[-4,-3.5[ & -3.75 & 6 & 0.061856 & 0.701031 & 0.123711 \tabularnewline
[-3.5,-3[ & -3.25 & 0 & 0 & 0.701031 & 0 \tabularnewline
[-3,-2.5[ & -2.75 & 4 & 0.041237 & 0.742268 & 0.082474 \tabularnewline
[-2.5,-2[ & -2.25 & 0 & 0 & 0.742268 & 0 \tabularnewline
[-2,-1.5[ & -1.75 & 10 & 0.103093 & 0.845361 & 0.206186 \tabularnewline
[-1.5,-1[ & -1.25 & 0 & 0 & 0.845361 & 0 \tabularnewline
[-1,-0.5[ & -0.75 & 6 & 0.061856 & 0.907216 & 0.123711 \tabularnewline
[-0.5,0[ & -0.25 & 0 & 0 & 0.907216 & 0 \tabularnewline
[0,0.5[ & 0.25 & 1 & 0.010309 & 0.917526 & 0.020619 \tabularnewline
[0.5,1[ & 0.75 & 0 & 0 & 0.917526 & 0 \tabularnewline
[1,1.5[ & 1.25 & 5 & 0.051546 & 0.969072 & 0.103093 \tabularnewline
[1.5,2] & 1.75 & 3 & 0.030928 & 1 & 0.061856 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279021&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][-25,-24.5[[/C][C]-24.75[/C][C]2[/C][C]0.020619[/C][C]0.020619[/C][C]0.041237[/C][/ROW]
[ROW][C][-24.5,-24[[/C][C]-24.25[/C][C]0[/C][C]0[/C][C]0.020619[/C][C]0[/C][/ROW]
[ROW][C][-24,-23.5[[/C][C]-23.75[/C][C]4[/C][C]0.041237[/C][C]0.061856[/C][C]0.082474[/C][/ROW]
[ROW][C][-23.5,-23[[/C][C]-23.25[/C][C]0[/C][C]0[/C][C]0.061856[/C][C]0[/C][/ROW]
[ROW][C][-23,-22.5[[/C][C]-22.75[/C][C]1[/C][C]0.010309[/C][C]0.072165[/C][C]0.020619[/C][/ROW]
[ROW][C][-22.5,-22[[/C][C]-22.25[/C][C]0[/C][C]0[/C][C]0.072165[/C][C]0[/C][/ROW]
[ROW][C][-22,-21.5[[/C][C]-21.75[/C][C]2[/C][C]0.020619[/C][C]0.092784[/C][C]0.041237[/C][/ROW]
[ROW][C][-21.5,-21[[/C][C]-21.25[/C][C]0[/C][C]0[/C][C]0.092784[/C][C]0[/C][/ROW]
[ROW][C][-21,-20.5[[/C][C]-20.75[/C][C]0[/C][C]0[/C][C]0.092784[/C][C]0[/C][/ROW]
[ROW][C][-20.5,-20[[/C][C]-20.25[/C][C]0[/C][C]0[/C][C]0.092784[/C][C]0[/C][/ROW]
[ROW][C][-20,-19.5[[/C][C]-19.75[/C][C]3[/C][C]0.030928[/C][C]0.123711[/C][C]0.061856[/C][/ROW]
[ROW][C][-19.5,-19[[/C][C]-19.25[/C][C]0[/C][C]0[/C][C]0.123711[/C][C]0[/C][/ROW]
[ROW][C][-19,-18.5[[/C][C]-18.75[/C][C]2[/C][C]0.020619[/C][C]0.14433[/C][C]0.041237[/C][/ROW]
[ROW][C][-18.5,-18[[/C][C]-18.25[/C][C]0[/C][C]0[/C][C]0.14433[/C][C]0[/C][/ROW]
[ROW][C][-18,-17.5[[/C][C]-17.75[/C][C]2[/C][C]0.020619[/C][C]0.164948[/C][C]0.041237[/C][/ROW]
[ROW][C][-17.5,-17[[/C][C]-17.25[/C][C]0[/C][C]0[/C][C]0.164948[/C][C]0[/C][/ROW]
[ROW][C][-17,-16.5[[/C][C]-16.75[/C][C]4[/C][C]0.041237[/C][C]0.206186[/C][C]0.082474[/C][/ROW]
[ROW][C][-16.5,-16[[/C][C]-16.25[/C][C]0[/C][C]0[/C][C]0.206186[/C][C]0[/C][/ROW]
[ROW][C][-16,-15.5[[/C][C]-15.75[/C][C]3[/C][C]0.030928[/C][C]0.237113[/C][C]0.061856[/C][/ROW]
[ROW][C][-15.5,-15[[/C][C]-15.25[/C][C]0[/C][C]0[/C][C]0.237113[/C][C]0[/C][/ROW]
[ROW][C][-15,-14.5[[/C][C]-14.75[/C][C]3[/C][C]0.030928[/C][C]0.268041[/C][C]0.061856[/C][/ROW]
[ROW][C][-14.5,-14[[/C][C]-14.25[/C][C]0[/C][C]0[/C][C]0.268041[/C][C]0[/C][/ROW]
[ROW][C][-14,-13.5[[/C][C]-13.75[/C][C]2[/C][C]0.020619[/C][C]0.28866[/C][C]0.041237[/C][/ROW]
[ROW][C][-13.5,-13[[/C][C]-13.25[/C][C]0[/C][C]0[/C][C]0.28866[/C][C]0[/C][/ROW]
[ROW][C][-13,-12.5[[/C][C]-12.75[/C][C]4[/C][C]0.041237[/C][C]0.329897[/C][C]0.082474[/C][/ROW]
[ROW][C][-12.5,-12[[/C][C]-12.25[/C][C]0[/C][C]0[/C][C]0.329897[/C][C]0[/C][/ROW]
[ROW][C][-12,-11.5[[/C][C]-11.75[/C][C]5[/C][C]0.051546[/C][C]0.381443[/C][C]0.103093[/C][/ROW]
[ROW][C][-11.5,-11[[/C][C]-11.25[/C][C]0[/C][C]0[/C][C]0.381443[/C][C]0[/C][/ROW]
[ROW][C][-11,-10.5[[/C][C]-10.75[/C][C]4[/C][C]0.041237[/C][C]0.42268[/C][C]0.082474[/C][/ROW]
[ROW][C][-10.5,-10[[/C][C]-10.25[/C][C]0[/C][C]0[/C][C]0.42268[/C][C]0[/C][/ROW]
[ROW][C][-10,-9.5[[/C][C]-9.75[/C][C]3[/C][C]0.030928[/C][C]0.453608[/C][C]0.061856[/C][/ROW]
[ROW][C][-9.5,-9[[/C][C]-9.25[/C][C]0[/C][C]0[/C][C]0.453608[/C][C]0[/C][/ROW]
[ROW][C][-9,-8.5[[/C][C]-8.75[/C][C]5[/C][C]0.051546[/C][C]0.505155[/C][C]0.103093[/C][/ROW]
[ROW][C][-8.5,-8[[/C][C]-8.25[/C][C]0[/C][C]0[/C][C]0.505155[/C][C]0[/C][/ROW]
[ROW][C][-8,-7.5[[/C][C]-7.75[/C][C]3[/C][C]0.030928[/C][C]0.536082[/C][C]0.061856[/C][/ROW]
[ROW][C][-7.5,-7[[/C][C]-7.25[/C][C]0[/C][C]0[/C][C]0.536082[/C][C]0[/C][/ROW]
[ROW][C][-7,-6.5[[/C][C]-6.75[/C][C]4[/C][C]0.041237[/C][C]0.57732[/C][C]0.082474[/C][/ROW]
[ROW][C][-6.5,-6[[/C][C]-6.25[/C][C]0[/C][C]0[/C][C]0.57732[/C][C]0[/C][/ROW]
[ROW][C][-6,-5.5[[/C][C]-5.75[/C][C]4[/C][C]0.041237[/C][C]0.618557[/C][C]0.082474[/C][/ROW]
[ROW][C][-5.5,-5[[/C][C]-5.25[/C][C]0[/C][C]0[/C][C]0.618557[/C][C]0[/C][/ROW]
[ROW][C][-5,-4.5[[/C][C]-4.75[/C][C]2[/C][C]0.020619[/C][C]0.639175[/C][C]0.041237[/C][/ROW]
[ROW][C][-4.5,-4[[/C][C]-4.25[/C][C]0[/C][C]0[/C][C]0.639175[/C][C]0[/C][/ROW]
[ROW][C][-4,-3.5[[/C][C]-3.75[/C][C]6[/C][C]0.061856[/C][C]0.701031[/C][C]0.123711[/C][/ROW]
[ROW][C][-3.5,-3[[/C][C]-3.25[/C][C]0[/C][C]0[/C][C]0.701031[/C][C]0[/C][/ROW]
[ROW][C][-3,-2.5[[/C][C]-2.75[/C][C]4[/C][C]0.041237[/C][C]0.742268[/C][C]0.082474[/C][/ROW]
[ROW][C][-2.5,-2[[/C][C]-2.25[/C][C]0[/C][C]0[/C][C]0.742268[/C][C]0[/C][/ROW]
[ROW][C][-2,-1.5[[/C][C]-1.75[/C][C]10[/C][C]0.103093[/C][C]0.845361[/C][C]0.206186[/C][/ROW]
[ROW][C][-1.5,-1[[/C][C]-1.25[/C][C]0[/C][C]0[/C][C]0.845361[/C][C]0[/C][/ROW]
[ROW][C][-1,-0.5[[/C][C]-0.75[/C][C]6[/C][C]0.061856[/C][C]0.907216[/C][C]0.123711[/C][/ROW]
[ROW][C][-0.5,0[[/C][C]-0.25[/C][C]0[/C][C]0[/C][C]0.907216[/C][C]0[/C][/ROW]
[ROW][C][0,0.5[[/C][C]0.25[/C][C]1[/C][C]0.010309[/C][C]0.917526[/C][C]0.020619[/C][/ROW]
[ROW][C][0.5,1[[/C][C]0.75[/C][C]0[/C][C]0[/C][C]0.917526[/C][C]0[/C][/ROW]
[ROW][C][1,1.5[[/C][C]1.25[/C][C]5[/C][C]0.051546[/C][C]0.969072[/C][C]0.103093[/C][/ROW]
[ROW][C][1.5,2][/C][C]1.75[/C][C]3[/C][C]0.030928[/C][C]1[/C][C]0.061856[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279021&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279021&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
[-25,-24.5[-24.7520.0206190.0206190.041237
[-24.5,-24[-24.25000.0206190
[-24,-23.5[-23.7540.0412370.0618560.082474
[-23.5,-23[-23.25000.0618560
[-23,-22.5[-22.7510.0103090.0721650.020619
[-22.5,-22[-22.25000.0721650
[-22,-21.5[-21.7520.0206190.0927840.041237
[-21.5,-21[-21.25000.0927840
[-21,-20.5[-20.75000.0927840
[-20.5,-20[-20.25000.0927840
[-20,-19.5[-19.7530.0309280.1237110.061856
[-19.5,-19[-19.25000.1237110
[-19,-18.5[-18.7520.0206190.144330.041237
[-18.5,-18[-18.25000.144330
[-18,-17.5[-17.7520.0206190.1649480.041237
[-17.5,-17[-17.25000.1649480
[-17,-16.5[-16.7540.0412370.2061860.082474
[-16.5,-16[-16.25000.2061860
[-16,-15.5[-15.7530.0309280.2371130.061856
[-15.5,-15[-15.25000.2371130
[-15,-14.5[-14.7530.0309280.2680410.061856
[-14.5,-14[-14.25000.2680410
[-14,-13.5[-13.7520.0206190.288660.041237
[-13.5,-13[-13.25000.288660
[-13,-12.5[-12.7540.0412370.3298970.082474
[-12.5,-12[-12.25000.3298970
[-12,-11.5[-11.7550.0515460.3814430.103093
[-11.5,-11[-11.25000.3814430
[-11,-10.5[-10.7540.0412370.422680.082474
[-10.5,-10[-10.25000.422680
[-10,-9.5[-9.7530.0309280.4536080.061856
[-9.5,-9[-9.25000.4536080
[-9,-8.5[-8.7550.0515460.5051550.103093
[-8.5,-8[-8.25000.5051550
[-8,-7.5[-7.7530.0309280.5360820.061856
[-7.5,-7[-7.25000.5360820
[-7,-6.5[-6.7540.0412370.577320.082474
[-6.5,-6[-6.25000.577320
[-6,-5.5[-5.7540.0412370.6185570.082474
[-5.5,-5[-5.25000.6185570
[-5,-4.5[-4.7520.0206190.6391750.041237
[-4.5,-4[-4.25000.6391750
[-4,-3.5[-3.7560.0618560.7010310.123711
[-3.5,-3[-3.25000.7010310
[-3,-2.5[-2.7540.0412370.7422680.082474
[-2.5,-2[-2.25000.7422680
[-2,-1.5[-1.75100.1030930.8453610.206186
[-1.5,-1[-1.25000.8453610
[-1,-0.5[-0.7560.0618560.9072160.123711
[-0.5,0[-0.25000.9072160
[0,0.5[0.2510.0103090.9175260.020619
[0.5,1[0.75000.9175260
[1,1.5[1.2550.0515460.9690720.103093
[1.5,2]1.7530.03092810.061856



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.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')
}