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Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Thu, 20 Feb 2014 04:07:22 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/20/t1392887454ty7dnci4xrwrjsk.htm/, Retrieved Wed, 15 May 2024 07:19:54 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233901, Retrieved Wed, 15 May 2024 07:19:54 +0000

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Original text written by user:

http://www3.math.tu-berlin.de/Vorlesungen/WS13/NumMath1/ B�rwolff/Kandler Punkte vor Einsicht max 40 P., bestanden = 20 P.

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

146

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Histogram] [tu berlin lina1 k...] [2012-07-11 21:49:14] [74be16979710d4c4e7c6647856088456]
- R  D  [Histogram] [Ergebnisse Modulk...] [2013-09-24 18:06:22] [74be16979710d4c4e7c6647856088456]
-   PD      [Histogram] [TU WS2013/14 Nume...] [2014-02-20 09:07:22] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   PD        [Histogram] [NumMath1-Modulkla...] [2014-02-20 09:28:44] [74be16979710d4c4e7c6647856088456] 
-               [Histogram] [NumMath1-Modulkla...] [2014-02-20 09:40:05] [74be16979710d4c4e7c6647856088456] 
-               [Histogram] [NumMath1-Modulkla...] [2014-02-20 09:40:05] [74be16979710d4c4e7c6647856088456] 
-    D            [Histogram] [NumMath1-Modulkla...] [2014-04-04 15:20:24] [74be16979710d4c4e7c6647856088456] 
-    D              [Histogram] [Noten Juli-Klausu...] [2014-07-24 02:44:35] [74be16979710d4c4e7c6647856088456] 
-    D          [Histogram] [Modulklausur ADM ...] [2014-03-10 14:19:19] [74be16979710d4c4e7c6647856088456] 

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Dataseries X:

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Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233901&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233901&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233901&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[6,6.5[	6.25	1	0.008929	0.008929	0.017857
[6.5,7[	6.75	0	0	0.008929	0
[7,7.5[	7.25	1	0.008929	0.017857	0.017857
[7.5,8[	7.75	1	0.008929	0.026786	0.017857
[8,8.5[	8.25	3	0.026786	0.053571	0.053571
[8.5,9[	8.75	0	0	0.053571	0
[9,9.5[	9.25	2	0.017857	0.071429	0.035714
[9.5,10[	9.75	1	0.008929	0.080357	0.017857
[10,10.5[	10.25	1	0.008929	0.089286	0.017857
[10.5,11[	10.75	2	0.017857	0.107143	0.035714
[11,11.5[	11.25	1	0.008929	0.116071	0.017857
[11.5,12[	11.75	0	0	0.116071	0
[12,12.5[	12.25	0	0	0.116071	0
[12.5,13[	12.75	0	0	0.116071	0
[13,13.5[	13.25	0	0	0.116071	0
[13.5,14[	13.75	1	0.008929	0.125	0.017857
[14,14.5[	14.25	3	0.026786	0.151786	0.053571
[14.5,15[	14.75	2	0.017857	0.169643	0.035714
[15,15.5[	15.25	1	0.008929	0.178571	0.017857
[15.5,16[	15.75	2	0.017857	0.196429	0.035714
[16,16.5[	16.25	3	0.026786	0.223214	0.053571
[16.5,17[	16.75	4	0.035714	0.258929	0.071429
[17,17.5[	17.25	1	0.008929	0.267857	0.017857
[17.5,18[	17.75	1	0.008929	0.276786	0.017857
[18,18.5[	18.25	1	0.008929	0.285714	0.017857
[18.5,19[	18.75	2	0.017857	0.303571	0.035714
[19,19.5[	19.25	3	0.026786	0.330357	0.053571
[19.5,20[	19.75	3	0.026786	0.357143	0.053571
[20,20.5[	20.25	5	0.044643	0.401786	0.089286
[20.5,21[	20.75	4	0.035714	0.4375	0.071429
[21,21.5[	21.25	3	0.026786	0.464286	0.053571
[21.5,22[	21.75	3	0.026786	0.491071	0.053571
[22,22.5[	22.25	4	0.035714	0.526786	0.071429
[22.5,23[	22.75	1	0.008929	0.535714	0.017857
[23,23.5[	23.25	4	0.035714	0.571429	0.071429
[23.5,24[	23.75	3	0.026786	0.598214	0.053571
[24,24.5[	24.25	1	0.008929	0.607143	0.017857
[24.5,25[	24.75	6	0.053571	0.660714	0.107143
[25,25.5[	25.25	0	0	0.660714	0
[25.5,26[	25.75	2	0.017857	0.678571	0.035714
[26,26.5[	26.25	3	0.026786	0.705357	0.053571
[26.5,27[	26.75	4	0.035714	0.741071	0.071429
[27,27.5[	27.25	2	0.017857	0.758929	0.035714
[27.5,28[	27.75	2	0.017857	0.776786	0.035714
[28,28.5[	28.25	4	0.035714	0.8125	0.071429
[28.5,29[	28.75	5	0.044643	0.857143	0.089286
[29,29.5[	29.25	3	0.026786	0.883929	0.053571
[29.5,30[	29.75	4	0.035714	0.919643	0.071429
[30,30.5[	30.25	2	0.017857	0.9375	0.035714
[30.5,31[	30.75	1	0.008929	0.946429	0.017857
[31,31.5[	31.25	0	0	0.946429	0
[31.5,32[	31.75	1	0.008929	0.955357	0.017857
[32,32.5[	32.25	1	0.008929	0.964286	0.017857
[32.5,33[	32.75	1	0.008929	0.973214	0.017857
[33,33.5[	33.25	2	0.017857	0.991071	0.035714
[33.5,34]	33.75	1	0.008929	1	0.017857

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6,6.5[ & 6.25 & 1 & 0.008929 & 0.008929 & 0.017857 \tabularnewline
[6.5,7[ & 6.75 & 0 & 0 & 0.008929 & 0 \tabularnewline
[7,7.5[ & 7.25 & 1 & 0.008929 & 0.017857 & 0.017857 \tabularnewline
[7.5,8[ & 7.75 & 1 & 0.008929 & 0.026786 & 0.017857 \tabularnewline
[8,8.5[ & 8.25 & 3 & 0.026786 & 0.053571 & 0.053571 \tabularnewline
[8.5,9[ & 8.75 & 0 & 0 & 0.053571 & 0 \tabularnewline
[9,9.5[ & 9.25 & 2 & 0.017857 & 0.071429 & 0.035714 \tabularnewline
[9.5,10[ & 9.75 & 1 & 0.008929 & 0.080357 & 0.017857 \tabularnewline
[10,10.5[ & 10.25 & 1 & 0.008929 & 0.089286 & 0.017857 \tabularnewline
[10.5,11[ & 10.75 & 2 & 0.017857 & 0.107143 & 0.035714 \tabularnewline
[11,11.5[ & 11.25 & 1 & 0.008929 & 0.116071 & 0.017857 \tabularnewline
[11.5,12[ & 11.75 & 0 & 0 & 0.116071 & 0 \tabularnewline
[12,12.5[ & 12.25 & 0 & 0 & 0.116071 & 0 \tabularnewline
[12.5,13[ & 12.75 & 0 & 0 & 0.116071 & 0 \tabularnewline
[13,13.5[ & 13.25 & 0 & 0 & 0.116071 & 0 \tabularnewline
[13.5,14[ & 13.75 & 1 & 0.008929 & 0.125 & 0.017857 \tabularnewline
[14,14.5[ & 14.25 & 3 & 0.026786 & 0.151786 & 0.053571 \tabularnewline
[14.5,15[ & 14.75 & 2 & 0.017857 & 0.169643 & 0.035714 \tabularnewline
[15,15.5[ & 15.25 & 1 & 0.008929 & 0.178571 & 0.017857 \tabularnewline
[15.5,16[ & 15.75 & 2 & 0.017857 & 0.196429 & 0.035714 \tabularnewline
[16,16.5[ & 16.25 & 3 & 0.026786 & 0.223214 & 0.053571 \tabularnewline
[16.5,17[ & 16.75 & 4 & 0.035714 & 0.258929 & 0.071429 \tabularnewline
[17,17.5[ & 17.25 & 1 & 0.008929 & 0.267857 & 0.017857 \tabularnewline
[17.5,18[ & 17.75 & 1 & 0.008929 & 0.276786 & 0.017857 \tabularnewline
[18,18.5[ & 18.25 & 1 & 0.008929 & 0.285714 & 0.017857 \tabularnewline
[18.5,19[ & 18.75 & 2 & 0.017857 & 0.303571 & 0.035714 \tabularnewline
[19,19.5[ & 19.25 & 3 & 0.026786 & 0.330357 & 0.053571 \tabularnewline
[19.5,20[ & 19.75 & 3 & 0.026786 & 0.357143 & 0.053571 \tabularnewline
[20,20.5[ & 20.25 & 5 & 0.044643 & 0.401786 & 0.089286 \tabularnewline
[20.5,21[ & 20.75 & 4 & 0.035714 & 0.4375 & 0.071429 \tabularnewline
[21,21.5[ & 21.25 & 3 & 0.026786 & 0.464286 & 0.053571 \tabularnewline
[21.5,22[ & 21.75 & 3 & 0.026786 & 0.491071 & 0.053571 \tabularnewline
[22,22.5[ & 22.25 & 4 & 0.035714 & 0.526786 & 0.071429 \tabularnewline
[22.5,23[ & 22.75 & 1 & 0.008929 & 0.535714 & 0.017857 \tabularnewline
[23,23.5[ & 23.25 & 4 & 0.035714 & 0.571429 & 0.071429 \tabularnewline
[23.5,24[ & 23.75 & 3 & 0.026786 & 0.598214 & 0.053571 \tabularnewline
[24,24.5[ & 24.25 & 1 & 0.008929 & 0.607143 & 0.017857 \tabularnewline
[24.5,25[ & 24.75 & 6 & 0.053571 & 0.660714 & 0.107143 \tabularnewline
[25,25.5[ & 25.25 & 0 & 0 & 0.660714 & 0 \tabularnewline
[25.5,26[ & 25.75 & 2 & 0.017857 & 0.678571 & 0.035714 \tabularnewline
[26,26.5[ & 26.25 & 3 & 0.026786 & 0.705357 & 0.053571 \tabularnewline
[26.5,27[ & 26.75 & 4 & 0.035714 & 0.741071 & 0.071429 \tabularnewline
[27,27.5[ & 27.25 & 2 & 0.017857 & 0.758929 & 0.035714 \tabularnewline
[27.5,28[ & 27.75 & 2 & 0.017857 & 0.776786 & 0.035714 \tabularnewline
[28,28.5[ & 28.25 & 4 & 0.035714 & 0.8125 & 0.071429 \tabularnewline
[28.5,29[ & 28.75 & 5 & 0.044643 & 0.857143 & 0.089286 \tabularnewline
[29,29.5[ & 29.25 & 3 & 0.026786 & 0.883929 & 0.053571 \tabularnewline
[29.5,30[ & 29.75 & 4 & 0.035714 & 0.919643 & 0.071429 \tabularnewline
[30,30.5[ & 30.25 & 2 & 0.017857 & 0.9375 & 0.035714 \tabularnewline
[30.5,31[ & 30.75 & 1 & 0.008929 & 0.946429 & 0.017857 \tabularnewline
[31,31.5[ & 31.25 & 0 & 0 & 0.946429 & 0 \tabularnewline
[31.5,32[ & 31.75 & 1 & 0.008929 & 0.955357 & 0.017857 \tabularnewline
[32,32.5[ & 32.25 & 1 & 0.008929 & 0.964286 & 0.017857 \tabularnewline
[32.5,33[ & 32.75 & 1 & 0.008929 & 0.973214 & 0.017857 \tabularnewline
[33,33.5[ & 33.25 & 2 & 0.017857 & 0.991071 & 0.035714 \tabularnewline
[33.5,34] & 33.75 & 1 & 0.008929 & 1 & 0.017857 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233901&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][6,6.5[[/C][C]6.25[/C][C]1[/C][C]0.008929[/C][C]0.008929[/C][C]0.017857[/C][/ROW]
[ROW][C][6.5,7[[/C][C]6.75[/C][C]0[/C][C]0[/C][C]0.008929[/C][C]0[/C][/ROW]
[ROW][C][7,7.5[[/C][C]7.25[/C][C]1[/C][C]0.008929[/C][C]0.017857[/C][C]0.017857[/C][/ROW]
[ROW][C][7.5,8[[/C][C]7.75[/C][C]1[/C][C]0.008929[/C][C]0.026786[/C][C]0.017857[/C][/ROW]
[ROW][C][8,8.5[[/C][C]8.25[/C][C]3[/C][C]0.026786[/C][C]0.053571[/C][C]0.053571[/C][/ROW]
[ROW][C][8.5,9[[/C][C]8.75[/C][C]0[/C][C]0[/C][C]0.053571[/C][C]0[/C][/ROW]
[ROW][C][9,9.5[[/C][C]9.25[/C][C]2[/C][C]0.017857[/C][C]0.071429[/C][C]0.035714[/C][/ROW]
[ROW][C][9.5,10[[/C][C]9.75[/C][C]1[/C][C]0.008929[/C][C]0.080357[/C][C]0.017857[/C][/ROW]
[ROW][C][10,10.5[[/C][C]10.25[/C][C]1[/C][C]0.008929[/C][C]0.089286[/C][C]0.017857[/C][/ROW]
[ROW][C][10.5,11[[/C][C]10.75[/C][C]2[/C][C]0.017857[/C][C]0.107143[/C][C]0.035714[/C][/ROW]
[ROW][C][11,11.5[[/C][C]11.25[/C][C]1[/C][C]0.008929[/C][C]0.116071[/C][C]0.017857[/C][/ROW]
[ROW][C][11.5,12[[/C][C]11.75[/C][C]0[/C][C]0[/C][C]0.116071[/C][C]0[/C][/ROW]
[ROW][C][12,12.5[[/C][C]12.25[/C][C]0[/C][C]0[/C][C]0.116071[/C][C]0[/C][/ROW]
[ROW][C][12.5,13[[/C][C]12.75[/C][C]0[/C][C]0[/C][C]0.116071[/C][C]0[/C][/ROW]
[ROW][C][13,13.5[[/C][C]13.25[/C][C]0[/C][C]0[/C][C]0.116071[/C][C]0[/C][/ROW]
[ROW][C][13.5,14[[/C][C]13.75[/C][C]1[/C][C]0.008929[/C][C]0.125[/C][C]0.017857[/C][/ROW]
[ROW][C][14,14.5[[/C][C]14.25[/C][C]3[/C][C]0.026786[/C][C]0.151786[/C][C]0.053571[/C][/ROW]
[ROW][C][14.5,15[[/C][C]14.75[/C][C]2[/C][C]0.017857[/C][C]0.169643[/C][C]0.035714[/C][/ROW]
[ROW][C][15,15.5[[/C][C]15.25[/C][C]1[/C][C]0.008929[/C][C]0.178571[/C][C]0.017857[/C][/ROW]
[ROW][C][15.5,16[[/C][C]15.75[/C][C]2[/C][C]0.017857[/C][C]0.196429[/C][C]0.035714[/C][/ROW]
[ROW][C][16,16.5[[/C][C]16.25[/C][C]3[/C][C]0.026786[/C][C]0.223214[/C][C]0.053571[/C][/ROW]
[ROW][C][16.5,17[[/C][C]16.75[/C][C]4[/C][C]0.035714[/C][C]0.258929[/C][C]0.071429[/C][/ROW]
[ROW][C][17,17.5[[/C][C]17.25[/C][C]1[/C][C]0.008929[/C][C]0.267857[/C][C]0.017857[/C][/ROW]
[ROW][C][17.5,18[[/C][C]17.75[/C][C]1[/C][C]0.008929[/C][C]0.276786[/C][C]0.017857[/C][/ROW]
[ROW][C][18,18.5[[/C][C]18.25[/C][C]1[/C][C]0.008929[/C][C]0.285714[/C][C]0.017857[/C][/ROW]
[ROW][C][18.5,19[[/C][C]18.75[/C][C]2[/C][C]0.017857[/C][C]0.303571[/C][C]0.035714[/C][/ROW]
[ROW][C][19,19.5[[/C][C]19.25[/C][C]3[/C][C]0.026786[/C][C]0.330357[/C][C]0.053571[/C][/ROW]
[ROW][C][19.5,20[[/C][C]19.75[/C][C]3[/C][C]0.026786[/C][C]0.357143[/C][C]0.053571[/C][/ROW]
[ROW][C][20,20.5[[/C][C]20.25[/C][C]5[/C][C]0.044643[/C][C]0.401786[/C][C]0.089286[/C][/ROW]
[ROW][C][20.5,21[[/C][C]20.75[/C][C]4[/C][C]0.035714[/C][C]0.4375[/C][C]0.071429[/C][/ROW]
[ROW][C][21,21.5[[/C][C]21.25[/C][C]3[/C][C]0.026786[/C][C]0.464286[/C][C]0.053571[/C][/ROW]
[ROW][C][21.5,22[[/C][C]21.75[/C][C]3[/C][C]0.026786[/C][C]0.491071[/C][C]0.053571[/C][/ROW]
[ROW][C][22,22.5[[/C][C]22.25[/C][C]4[/C][C]0.035714[/C][C]0.526786[/C][C]0.071429[/C][/ROW]
[ROW][C][22.5,23[[/C][C]22.75[/C][C]1[/C][C]0.008929[/C][C]0.535714[/C][C]0.017857[/C][/ROW]
[ROW][C][23,23.5[[/C][C]23.25[/C][C]4[/C][C]0.035714[/C][C]0.571429[/C][C]0.071429[/C][/ROW]
[ROW][C][23.5,24[[/C][C]23.75[/C][C]3[/C][C]0.026786[/C][C]0.598214[/C][C]0.053571[/C][/ROW]
[ROW][C][24,24.5[[/C][C]24.25[/C][C]1[/C][C]0.008929[/C][C]0.607143[/C][C]0.017857[/C][/ROW]
[ROW][C][24.5,25[[/C][C]24.75[/C][C]6[/C][C]0.053571[/C][C]0.660714[/C][C]0.107143[/C][/ROW]
[ROW][C][25,25.5[[/C][C]25.25[/C][C]0[/C][C]0[/C][C]0.660714[/C][C]0[/C][/ROW]
[ROW][C][25.5,26[[/C][C]25.75[/C][C]2[/C][C]0.017857[/C][C]0.678571[/C][C]0.035714[/C][/ROW]
[ROW][C][26,26.5[[/C][C]26.25[/C][C]3[/C][C]0.026786[/C][C]0.705357[/C][C]0.053571[/C][/ROW]
[ROW][C][26.5,27[[/C][C]26.75[/C][C]4[/C][C]0.035714[/C][C]0.741071[/C][C]0.071429[/C][/ROW]
[ROW][C][27,27.5[[/C][C]27.25[/C][C]2[/C][C]0.017857[/C][C]0.758929[/C][C]0.035714[/C][/ROW]
[ROW][C][27.5,28[[/C][C]27.75[/C][C]2[/C][C]0.017857[/C][C]0.776786[/C][C]0.035714[/C][/ROW]
[ROW][C][28,28.5[[/C][C]28.25[/C][C]4[/C][C]0.035714[/C][C]0.8125[/C][C]0.071429[/C][/ROW]
[ROW][C][28.5,29[[/C][C]28.75[/C][C]5[/C][C]0.044643[/C][C]0.857143[/C][C]0.089286[/C][/ROW]
[ROW][C][29,29.5[[/C][C]29.25[/C][C]3[/C][C]0.026786[/C][C]0.883929[/C][C]0.053571[/C][/ROW]
[ROW][C][29.5,30[[/C][C]29.75[/C][C]4[/C][C]0.035714[/C][C]0.919643[/C][C]0.071429[/C][/ROW]
[ROW][C][30,30.5[[/C][C]30.25[/C][C]2[/C][C]0.017857[/C][C]0.9375[/C][C]0.035714[/C][/ROW]
[ROW][C][30.5,31[[/C][C]30.75[/C][C]1[/C][C]0.008929[/C][C]0.946429[/C][C]0.017857[/C][/ROW]
[ROW][C][31,31.5[[/C][C]31.25[/C][C]0[/C][C]0[/C][C]0.946429[/C][C]0[/C][/ROW]
[ROW][C][31.5,32[[/C][C]31.75[/C][C]1[/C][C]0.008929[/C][C]0.955357[/C][C]0.017857[/C][/ROW]
[ROW][C][32,32.5[[/C][C]32.25[/C][C]1[/C][C]0.008929[/C][C]0.964286[/C][C]0.017857[/C][/ROW]
[ROW][C][32.5,33[[/C][C]32.75[/C][C]1[/C][C]0.008929[/C][C]0.973214[/C][C]0.017857[/C][/ROW]
[ROW][C][33,33.5[[/C][C]33.25[/C][C]2[/C][C]0.017857[/C][C]0.991071[/C][C]0.035714[/C][/ROW]
[ROW][C][33.5,34][/C][C]33.75[/C][C]1[/C][C]0.008929[/C][C]1[/C][C]0.017857[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233901&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233901&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)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[6,6.5[	6.25	1	0.008929	0.008929	0.017857
[6.5,7[	6.75	0	0	0.008929	0
[7,7.5[	7.25	1	0.008929	0.017857	0.017857
[7.5,8[	7.75	1	0.008929	0.026786	0.017857
[8,8.5[	8.25	3	0.026786	0.053571	0.053571
[8.5,9[	8.75	0	0	0.053571	0
[9,9.5[	9.25	2	0.017857	0.071429	0.035714
[9.5,10[	9.75	1	0.008929	0.080357	0.017857
[10,10.5[	10.25	1	0.008929	0.089286	0.017857
[10.5,11[	10.75	2	0.017857	0.107143	0.035714
[11,11.5[	11.25	1	0.008929	0.116071	0.017857
[11.5,12[	11.75	0	0	0.116071	0
[12,12.5[	12.25	0	0	0.116071	0
[12.5,13[	12.75	0	0	0.116071	0
[13,13.5[	13.25	0	0	0.116071	0
[13.5,14[	13.75	1	0.008929	0.125	0.017857
[14,14.5[	14.25	3	0.026786	0.151786	0.053571
[14.5,15[	14.75	2	0.017857	0.169643	0.035714
[15,15.5[	15.25	1	0.008929	0.178571	0.017857
[15.5,16[	15.75	2	0.017857	0.196429	0.035714
[16,16.5[	16.25	3	0.026786	0.223214	0.053571
[16.5,17[	16.75	4	0.035714	0.258929	0.071429
[17,17.5[	17.25	1	0.008929	0.267857	0.017857
[17.5,18[	17.75	1	0.008929	0.276786	0.017857
[18,18.5[	18.25	1	0.008929	0.285714	0.017857
[18.5,19[	18.75	2	0.017857	0.303571	0.035714
[19,19.5[	19.25	3	0.026786	0.330357	0.053571
[19.5,20[	19.75	3	0.026786	0.357143	0.053571
[20,20.5[	20.25	5	0.044643	0.401786	0.089286
[20.5,21[	20.75	4	0.035714	0.4375	0.071429
[21,21.5[	21.25	3	0.026786	0.464286	0.053571
[21.5,22[	21.75	3	0.026786	0.491071	0.053571
[22,22.5[	22.25	4	0.035714	0.526786	0.071429
[22.5,23[	22.75	1	0.008929	0.535714	0.017857
[23,23.5[	23.25	4	0.035714	0.571429	0.071429
[23.5,24[	23.75	3	0.026786	0.598214	0.053571
[24,24.5[	24.25	1	0.008929	0.607143	0.017857
[24.5,25[	24.75	6	0.053571	0.660714	0.107143
[25,25.5[	25.25	0	0	0.660714	0
[25.5,26[	25.75	2	0.017857	0.678571	0.035714
[26,26.5[	26.25	3	0.026786	0.705357	0.053571
[26.5,27[	26.75	4	0.035714	0.741071	0.071429
[27,27.5[	27.25	2	0.017857	0.758929	0.035714
[27.5,28[	27.75	2	0.017857	0.776786	0.035714
[28,28.5[	28.25	4	0.035714	0.8125	0.071429
[28.5,29[	28.75	5	0.044643	0.857143	0.089286
[29,29.5[	29.25	3	0.026786	0.883929	0.053571
[29.5,30[	29.75	4	0.035714	0.919643	0.071429
[30,30.5[	30.25	2	0.017857	0.9375	0.035714
[30.5,31[	30.75	1	0.008929	0.946429	0.017857
[31,31.5[	31.25	0	0	0.946429	0
[31.5,32[	31.75	1	0.008929	0.955357	0.017857
[32,32.5[	32.25	1	0.008929	0.964286	0.017857
[32.5,33[	32.75	1	0.008929	0.973214	0.017857
[33,33.5[	33.25	2	0.017857	0.991071	0.035714
[33.5,34]	33.75	1	0.008929	1	0.017857

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 40 ; par2 = red ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 40 ; par2 = red ; 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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code