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*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 01 Oct 2014 07:54:40 +0100

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/Oct/01/t1412146517e83oed4ibktlu3g.htm/, Retrieved Sun, 12 May 2024 13:36:48 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=237110, Retrieved Sun, 12 May 2024 13:36:48 +0000

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IsPrivate?

No (this computation is public)

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Estimated Impact

136

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

-     [Univariate Data Series] [Maandelijkse Uitv...] [2014-09-20 09:48:24] [c4a58492900e9730cda16af5eae824c9]
- RMPD    [Histogram] [] [2014-10-01 06:54:40] [9458cab04bab2efa06ad058ca673aa95] [Current]

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Dataseries X:

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237110&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237110&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237110&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	0 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[12.4,12.6[	12.5	1	0.013889	0.013889	0.069444
[12.6,12.8[	12.7	0	0	0.013889	0
[12.8,13[	12.9	0	0	0.013889	0
[13,13.2[	13.1	0	0	0.013889	0
[13.2,13.4[	13.3	0	0	0.013889	0
[13.4,13.6[	13.5	1	0.013889	0.027778	0.069444
[13.6,13.8[	13.7	1	0.013889	0.041667	0.069444
[13.8,14[	13.9	1	0.013889	0.055556	0.069444
[14,14.2[	14.1	1	0.013889	0.069444	0.069444
[14.2,14.4[	14.3	1	0.013889	0.083333	0.069444
[14.4,14.6[	14.5	0	0	0.083333	0
[14.6,14.8[	14.7	2	0.027778	0.111111	0.138889
[14.8,15[	14.9	0	0	0.111111	0
[15,15.2[	15.1	1	0.013889	0.125	0.069444
[15.2,15.4[	15.3	2	0.027778	0.152778	0.138889
[15.4,15.6[	15.5	0	0	0.152778	0
[15.6,15.8[	15.7	3	0.041667	0.194444	0.208333
[15.8,16[	15.9	3	0.041667	0.236111	0.208333
[16,16.2[	16.1	1	0.013889	0.25	0.069444
[16.2,16.4[	16.3	0	0	0.25	0
[16.4,16.6[	16.5	1	0.013889	0.263889	0.069444
[16.6,16.8[	16.7	0	0	0.263889	0
[16.8,17[	16.9	1	0.013889	0.277778	0.069444
[17,17.2[	17.1	2	0.027778	0.305556	0.138889
[17.2,17.4[	17.3	0	0	0.305556	0
[17.4,17.6[	17.5	2	0.027778	0.333333	0.138889
[17.6,17.8[	17.7	1	0.013889	0.347222	0.069444
[17.8,18[	17.9	0	0	0.347222	0
[18,18.2[	18.1	2	0.027778	0.375	0.138889
[18.2,18.4[	18.3	2	0.027778	0.402778	0.138889
[18.4,18.6[	18.5	2	0.027778	0.430556	0.138889
[18.6,18.8[	18.7	3	0.041667	0.472222	0.208333
[18.8,19[	18.9	1	0.013889	0.486111	0.069444
[19,19.2[	19.1	3	0.041667	0.527778	0.208333
[19.2,19.4[	19.3	4	0.055556	0.583333	0.277778
[19.4,19.6[	19.5	3	0.041667	0.625	0.208333
[19.6,19.8[	19.7	4	0.055556	0.680556	0.277778
[19.8,20[	19.9	4	0.055556	0.736111	0.277778
[20,20.2[	20.1	3	0.041667	0.777778	0.208333
[20.2,20.4[	20.3	3	0.041667	0.819444	0.208333
[20.4,20.6[	20.5	2	0.027778	0.847222	0.138889
[20.6,20.8[	20.7	1	0.013889	0.861111	0.069444
[20.8,21[	20.9	2	0.027778	0.888889	0.138889
[21,21.2[	21.1	2	0.027778	0.916667	0.138889
[21.2,21.4[	21.3	1	0.013889	0.930556	0.069444
[21.4,21.6[	21.5	2	0.027778	0.958333	0.138889
[21.6,21.8[	21.7	0	0	0.958333	0
[21.8,22[	21.9	0	0	0.958333	0
[22,22.2[	22.1	1	0.013889	0.972222	0.069444
[22.2,22.4[	22.3	1	0.013889	0.986111	0.069444
[22.4,22.6]	22.5	1	0.013889	1	0.069444

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[12.4,12.6[ & 12.5 & 1 & 0.013889 & 0.013889 & 0.069444 \tabularnewline
[12.6,12.8[ & 12.7 & 0 & 0 & 0.013889 & 0 \tabularnewline
[12.8,13[ & 12.9 & 0 & 0 & 0.013889 & 0 \tabularnewline
[13,13.2[ & 13.1 & 0 & 0 & 0.013889 & 0 \tabularnewline
[13.2,13.4[ & 13.3 & 0 & 0 & 0.013889 & 0 \tabularnewline
[13.4,13.6[ & 13.5 & 1 & 0.013889 & 0.027778 & 0.069444 \tabularnewline
[13.6,13.8[ & 13.7 & 1 & 0.013889 & 0.041667 & 0.069444 \tabularnewline
[13.8,14[ & 13.9 & 1 & 0.013889 & 0.055556 & 0.069444 \tabularnewline
[14,14.2[ & 14.1 & 1 & 0.013889 & 0.069444 & 0.069444 \tabularnewline
[14.2,14.4[ & 14.3 & 1 & 0.013889 & 0.083333 & 0.069444 \tabularnewline
[14.4,14.6[ & 14.5 & 0 & 0 & 0.083333 & 0 \tabularnewline
[14.6,14.8[ & 14.7 & 2 & 0.027778 & 0.111111 & 0.138889 \tabularnewline
[14.8,15[ & 14.9 & 0 & 0 & 0.111111 & 0 \tabularnewline
[15,15.2[ & 15.1 & 1 & 0.013889 & 0.125 & 0.069444 \tabularnewline
[15.2,15.4[ & 15.3 & 2 & 0.027778 & 0.152778 & 0.138889 \tabularnewline
[15.4,15.6[ & 15.5 & 0 & 0 & 0.152778 & 0 \tabularnewline
[15.6,15.8[ & 15.7 & 3 & 0.041667 & 0.194444 & 0.208333 \tabularnewline
[15.8,16[ & 15.9 & 3 & 0.041667 & 0.236111 & 0.208333 \tabularnewline
[16,16.2[ & 16.1 & 1 & 0.013889 & 0.25 & 0.069444 \tabularnewline
[16.2,16.4[ & 16.3 & 0 & 0 & 0.25 & 0 \tabularnewline
[16.4,16.6[ & 16.5 & 1 & 0.013889 & 0.263889 & 0.069444 \tabularnewline
[16.6,16.8[ & 16.7 & 0 & 0 & 0.263889 & 0 \tabularnewline
[16.8,17[ & 16.9 & 1 & 0.013889 & 0.277778 & 0.069444 \tabularnewline
[17,17.2[ & 17.1 & 2 & 0.027778 & 0.305556 & 0.138889 \tabularnewline
[17.2,17.4[ & 17.3 & 0 & 0 & 0.305556 & 0 \tabularnewline
[17.4,17.6[ & 17.5 & 2 & 0.027778 & 0.333333 & 0.138889 \tabularnewline
[17.6,17.8[ & 17.7 & 1 & 0.013889 & 0.347222 & 0.069444 \tabularnewline
[17.8,18[ & 17.9 & 0 & 0 & 0.347222 & 0 \tabularnewline
[18,18.2[ & 18.1 & 2 & 0.027778 & 0.375 & 0.138889 \tabularnewline
[18.2,18.4[ & 18.3 & 2 & 0.027778 & 0.402778 & 0.138889 \tabularnewline
[18.4,18.6[ & 18.5 & 2 & 0.027778 & 0.430556 & 0.138889 \tabularnewline
[18.6,18.8[ & 18.7 & 3 & 0.041667 & 0.472222 & 0.208333 \tabularnewline
[18.8,19[ & 18.9 & 1 & 0.013889 & 0.486111 & 0.069444 \tabularnewline
[19,19.2[ & 19.1 & 3 & 0.041667 & 0.527778 & 0.208333 \tabularnewline
[19.2,19.4[ & 19.3 & 4 & 0.055556 & 0.583333 & 0.277778 \tabularnewline
[19.4,19.6[ & 19.5 & 3 & 0.041667 & 0.625 & 0.208333 \tabularnewline
[19.6,19.8[ & 19.7 & 4 & 0.055556 & 0.680556 & 0.277778 \tabularnewline
[19.8,20[ & 19.9 & 4 & 0.055556 & 0.736111 & 0.277778 \tabularnewline
[20,20.2[ & 20.1 & 3 & 0.041667 & 0.777778 & 0.208333 \tabularnewline
[20.2,20.4[ & 20.3 & 3 & 0.041667 & 0.819444 & 0.208333 \tabularnewline
[20.4,20.6[ & 20.5 & 2 & 0.027778 & 0.847222 & 0.138889 \tabularnewline
[20.6,20.8[ & 20.7 & 1 & 0.013889 & 0.861111 & 0.069444 \tabularnewline
[20.8,21[ & 20.9 & 2 & 0.027778 & 0.888889 & 0.138889 \tabularnewline
[21,21.2[ & 21.1 & 2 & 0.027778 & 0.916667 & 0.138889 \tabularnewline
[21.2,21.4[ & 21.3 & 1 & 0.013889 & 0.930556 & 0.069444 \tabularnewline
[21.4,21.6[ & 21.5 & 2 & 0.027778 & 0.958333 & 0.138889 \tabularnewline
[21.6,21.8[ & 21.7 & 0 & 0 & 0.958333 & 0 \tabularnewline
[21.8,22[ & 21.9 & 0 & 0 & 0.958333 & 0 \tabularnewline
[22,22.2[ & 22.1 & 1 & 0.013889 & 0.972222 & 0.069444 \tabularnewline
[22.2,22.4[ & 22.3 & 1 & 0.013889 & 0.986111 & 0.069444 \tabularnewline
[22.4,22.6] & 22.5 & 1 & 0.013889 & 1 & 0.069444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237110&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][12.4,12.6[[/C][C]12.5[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.069444[/C][/ROW]
[ROW][C][12.6,12.8[[/C][C]12.7[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][12.8,13[[/C][C]12.9[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][13,13.2[[/C][C]13.1[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][13.2,13.4[[/C][C]13.3[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][13.4,13.6[[/C][C]13.5[/C][C]1[/C][C]0.013889[/C][C]0.027778[/C][C]0.069444[/C][/ROW]
[ROW][C][13.6,13.8[[/C][C]13.7[/C][C]1[/C][C]0.013889[/C][C]0.041667[/C][C]0.069444[/C][/ROW]
[ROW][C][13.8,14[[/C][C]13.9[/C][C]1[/C][C]0.013889[/C][C]0.055556[/C][C]0.069444[/C][/ROW]
[ROW][C][14,14.2[[/C][C]14.1[/C][C]1[/C][C]0.013889[/C][C]0.069444[/C][C]0.069444[/C][/ROW]
[ROW][C][14.2,14.4[[/C][C]14.3[/C][C]1[/C][C]0.013889[/C][C]0.083333[/C][C]0.069444[/C][/ROW]
[ROW][C][14.4,14.6[[/C][C]14.5[/C][C]0[/C][C]0[/C][C]0.083333[/C][C]0[/C][/ROW]
[ROW][C][14.6,14.8[[/C][C]14.7[/C][C]2[/C][C]0.027778[/C][C]0.111111[/C][C]0.138889[/C][/ROW]
[ROW][C][14.8,15[[/C][C]14.9[/C][C]0[/C][C]0[/C][C]0.111111[/C][C]0[/C][/ROW]
[ROW][C][15,15.2[[/C][C]15.1[/C][C]1[/C][C]0.013889[/C][C]0.125[/C][C]0.069444[/C][/ROW]
[ROW][C][15.2,15.4[[/C][C]15.3[/C][C]2[/C][C]0.027778[/C][C]0.152778[/C][C]0.138889[/C][/ROW]
[ROW][C][15.4,15.6[[/C][C]15.5[/C][C]0[/C][C]0[/C][C]0.152778[/C][C]0[/C][/ROW]
[ROW][C][15.6,15.8[[/C][C]15.7[/C][C]3[/C][C]0.041667[/C][C]0.194444[/C][C]0.208333[/C][/ROW]
[ROW][C][15.8,16[[/C][C]15.9[/C][C]3[/C][C]0.041667[/C][C]0.236111[/C][C]0.208333[/C][/ROW]
[ROW][C][16,16.2[[/C][C]16.1[/C][C]1[/C][C]0.013889[/C][C]0.25[/C][C]0.069444[/C][/ROW]
[ROW][C][16.2,16.4[[/C][C]16.3[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][16.4,16.6[[/C][C]16.5[/C][C]1[/C][C]0.013889[/C][C]0.263889[/C][C]0.069444[/C][/ROW]
[ROW][C][16.6,16.8[[/C][C]16.7[/C][C]0[/C][C]0[/C][C]0.263889[/C][C]0[/C][/ROW]
[ROW][C][16.8,17[[/C][C]16.9[/C][C]1[/C][C]0.013889[/C][C]0.277778[/C][C]0.069444[/C][/ROW]
[ROW][C][17,17.2[[/C][C]17.1[/C][C]2[/C][C]0.027778[/C][C]0.305556[/C][C]0.138889[/C][/ROW]
[ROW][C][17.2,17.4[[/C][C]17.3[/C][C]0[/C][C]0[/C][C]0.305556[/C][C]0[/C][/ROW]
[ROW][C][17.4,17.6[[/C][C]17.5[/C][C]2[/C][C]0.027778[/C][C]0.333333[/C][C]0.138889[/C][/ROW]
[ROW][C][17.6,17.8[[/C][C]17.7[/C][C]1[/C][C]0.013889[/C][C]0.347222[/C][C]0.069444[/C][/ROW]
[ROW][C][17.8,18[[/C][C]17.9[/C][C]0[/C][C]0[/C][C]0.347222[/C][C]0[/C][/ROW]
[ROW][C][18,18.2[[/C][C]18.1[/C][C]2[/C][C]0.027778[/C][C]0.375[/C][C]0.138889[/C][/ROW]
[ROW][C][18.2,18.4[[/C][C]18.3[/C][C]2[/C][C]0.027778[/C][C]0.402778[/C][C]0.138889[/C][/ROW]
[ROW][C][18.4,18.6[[/C][C]18.5[/C][C]2[/C][C]0.027778[/C][C]0.430556[/C][C]0.138889[/C][/ROW]
[ROW][C][18.6,18.8[[/C][C]18.7[/C][C]3[/C][C]0.041667[/C][C]0.472222[/C][C]0.208333[/C][/ROW]
[ROW][C][18.8,19[[/C][C]18.9[/C][C]1[/C][C]0.013889[/C][C]0.486111[/C][C]0.069444[/C][/ROW]
[ROW][C][19,19.2[[/C][C]19.1[/C][C]3[/C][C]0.041667[/C][C]0.527778[/C][C]0.208333[/C][/ROW]
[ROW][C][19.2,19.4[[/C][C]19.3[/C][C]4[/C][C]0.055556[/C][C]0.583333[/C][C]0.277778[/C][/ROW]
[ROW][C][19.4,19.6[[/C][C]19.5[/C][C]3[/C][C]0.041667[/C][C]0.625[/C][C]0.208333[/C][/ROW]
[ROW][C][19.6,19.8[[/C][C]19.7[/C][C]4[/C][C]0.055556[/C][C]0.680556[/C][C]0.277778[/C][/ROW]
[ROW][C][19.8,20[[/C][C]19.9[/C][C]4[/C][C]0.055556[/C][C]0.736111[/C][C]0.277778[/C][/ROW]
[ROW][C][20,20.2[[/C][C]20.1[/C][C]3[/C][C]0.041667[/C][C]0.777778[/C][C]0.208333[/C][/ROW]
[ROW][C][20.2,20.4[[/C][C]20.3[/C][C]3[/C][C]0.041667[/C][C]0.819444[/C][C]0.208333[/C][/ROW]
[ROW][C][20.4,20.6[[/C][C]20.5[/C][C]2[/C][C]0.027778[/C][C]0.847222[/C][C]0.138889[/C][/ROW]
[ROW][C][20.6,20.8[[/C][C]20.7[/C][C]1[/C][C]0.013889[/C][C]0.861111[/C][C]0.069444[/C][/ROW]
[ROW][C][20.8,21[[/C][C]20.9[/C][C]2[/C][C]0.027778[/C][C]0.888889[/C][C]0.138889[/C][/ROW]
[ROW][C][21,21.2[[/C][C]21.1[/C][C]2[/C][C]0.027778[/C][C]0.916667[/C][C]0.138889[/C][/ROW]
[ROW][C][21.2,21.4[[/C][C]21.3[/C][C]1[/C][C]0.013889[/C][C]0.930556[/C][C]0.069444[/C][/ROW]
[ROW][C][21.4,21.6[[/C][C]21.5[/C][C]2[/C][C]0.027778[/C][C]0.958333[/C][C]0.138889[/C][/ROW]
[ROW][C][21.6,21.8[[/C][C]21.7[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][21.8,22[[/C][C]21.9[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][22,22.2[[/C][C]22.1[/C][C]1[/C][C]0.013889[/C][C]0.972222[/C][C]0.069444[/C][/ROW]
[ROW][C][22.2,22.4[[/C][C]22.3[/C][C]1[/C][C]0.013889[/C][C]0.986111[/C][C]0.069444[/C][/ROW]
[ROW][C][22.4,22.6][/C][C]22.5[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.069444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237110&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237110&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
[12.4,12.6[	12.5	1	0.013889	0.013889	0.069444
[12.6,12.8[	12.7	0	0	0.013889	0
[12.8,13[	12.9	0	0	0.013889	0
[13,13.2[	13.1	0	0	0.013889	0
[13.2,13.4[	13.3	0	0	0.013889	0
[13.4,13.6[	13.5	1	0.013889	0.027778	0.069444
[13.6,13.8[	13.7	1	0.013889	0.041667	0.069444
[13.8,14[	13.9	1	0.013889	0.055556	0.069444
[14,14.2[	14.1	1	0.013889	0.069444	0.069444
[14.2,14.4[	14.3	1	0.013889	0.083333	0.069444
[14.4,14.6[	14.5	0	0	0.083333	0
[14.6,14.8[	14.7	2	0.027778	0.111111	0.138889
[14.8,15[	14.9	0	0	0.111111	0
[15,15.2[	15.1	1	0.013889	0.125	0.069444
[15.2,15.4[	15.3	2	0.027778	0.152778	0.138889
[15.4,15.6[	15.5	0	0	0.152778	0
[15.6,15.8[	15.7	3	0.041667	0.194444	0.208333
[15.8,16[	15.9	3	0.041667	0.236111	0.208333
[16,16.2[	16.1	1	0.013889	0.25	0.069444
[16.2,16.4[	16.3	0	0	0.25	0
[16.4,16.6[	16.5	1	0.013889	0.263889	0.069444
[16.6,16.8[	16.7	0	0	0.263889	0
[16.8,17[	16.9	1	0.013889	0.277778	0.069444
[17,17.2[	17.1	2	0.027778	0.305556	0.138889
[17.2,17.4[	17.3	0	0	0.305556	0
[17.4,17.6[	17.5	2	0.027778	0.333333	0.138889
[17.6,17.8[	17.7	1	0.013889	0.347222	0.069444
[17.8,18[	17.9	0	0	0.347222	0
[18,18.2[	18.1	2	0.027778	0.375	0.138889
[18.2,18.4[	18.3	2	0.027778	0.402778	0.138889
[18.4,18.6[	18.5	2	0.027778	0.430556	0.138889
[18.6,18.8[	18.7	3	0.041667	0.472222	0.208333
[18.8,19[	18.9	1	0.013889	0.486111	0.069444
[19,19.2[	19.1	3	0.041667	0.527778	0.208333
[19.2,19.4[	19.3	4	0.055556	0.583333	0.277778
[19.4,19.6[	19.5	3	0.041667	0.625	0.208333
[19.6,19.8[	19.7	4	0.055556	0.680556	0.277778
[19.8,20[	19.9	4	0.055556	0.736111	0.277778
[20,20.2[	20.1	3	0.041667	0.777778	0.208333
[20.2,20.4[	20.3	3	0.041667	0.819444	0.208333
[20.4,20.6[	20.5	2	0.027778	0.847222	0.138889
[20.6,20.8[	20.7	1	0.013889	0.861111	0.069444
[20.8,21[	20.9	2	0.027778	0.888889	0.138889
[21,21.2[	21.1	2	0.027778	0.916667	0.138889
[21.2,21.4[	21.3	1	0.013889	0.930556	0.069444
[21.4,21.6[	21.5	2	0.027778	0.958333	0.138889
[21.6,21.8[	21.7	0	0	0.958333	0
[21.8,22[	21.9	0	0	0.958333	0
[22,22.2[	22.1	1	0.013889	0.972222	0.069444
[22.2,22.4[	22.3	1	0.013889	0.986111	0.069444
[22.4,22.6]	22.5	1	0.013889	1	0.069444

Figure 1

PNG link

Postscript link

PDF link

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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code