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*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 13 Feb 2017 22:01:31 +0000

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/2017/Feb/13/t1487023357b4x2lzq20qrj0d0.htm/, Retrieved Fri, 10 May 2024 17:15:55 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 10 May 2024 17:15:55 +0200

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No (this computation is public)

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Estimated Impact

Dataseries X:

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Histogram

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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	'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	'Sir Maurice George Kendall' @ kendall.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[99.1,99.2[	99.15	2	0.027778	0.027778	0.277778
[99.2,99.3[	99.25	0	0	0.027778	0
[99.3,99.4[	99.35	1	0.013889	0.041667	0.138889
[99.4,99.5[	99.45	0	0	0.041667	0
[99.5,99.6[	99.55	0	0	0.041667	0
[99.6,99.7[	99.65	2	0.027778	0.069444	0.277778
[99.7,99.8[	99.75	1	0.013889	0.083333	0.138889
[99.8,99.9[	99.85	0	0	0.083333	0
[99.9,100[	99.95	1	0.013889	0.097222	0.138889
[100,100.1[	100.05	1	0.013889	0.111111	0.138889
[100.1,100.2[	100.15	0	0	0.111111	0
[100.2,100.3[	100.25	0	0	0.111111	0
[100.3,100.4[	100.35	1	0.013889	0.125	0.138889
[100.4,100.5[	100.45	0	0	0.125	0
[100.5,100.6[	100.55	0	0	0.125	0
[100.6,100.7[	100.65	0	0	0.125	0
[100.7,100.8[	100.75	1	0.013889	0.138889	0.138889
[100.8,100.9[	100.85	1	0.013889	0.152778	0.138889
[100.9,101[	100.95	1	0.013889	0.166667	0.138889
[101,101.1[	101.05	8	0.111111	0.277778	1.111111
[101.1,101.2[	101.15	7	0.097222	0.375	0.972222
[101.2,101.3[	101.25	9	0.125	0.5	1.25
[101.3,101.4[	101.35	0	0	0.5	0
[101.4,101.5[	101.45	0	0	0.5	0
[101.5,101.6[	101.55	1	0.013889	0.513889	0.138889
[101.6,101.7[	101.65	4	0.055556	0.569444	0.555556
[101.7,101.8[	101.75	1	0.013889	0.583333	0.138889
[101.8,101.9[	101.85	3	0.041667	0.625	0.416667
[101.9,102[	101.95	4	0.055556	0.680556	0.555556
[102,102.1[	102.05	4	0.055556	0.736111	0.555556
[102.1,102.2[	102.15	2	0.027778	0.763889	0.277778
[102.2,102.3[	102.25	0	0	0.763889	0
[102.3,102.4[	102.35	0	0	0.763889	0
[102.4,102.5[	102.45	0	0	0.763889	0
[102.5,102.6[	102.55	1	0.013889	0.777778	0.138889
[102.6,102.7[	102.65	0	0	0.777778	0
[102.7,102.8[	102.75	0	0	0.777778	0
[102.8,102.9[	102.85	2	0.027778	0.805556	0.277778
[102.9,103[	102.95	1	0.013889	0.819444	0.138889
[103,103.1[	103.05	1	0.013889	0.833333	0.138889
[103.1,103.2[	103.15	0	0	0.833333	0
[103.2,103.3[	103.25	3	0.041667	0.875	0.416667
[103.3,103.4[	103.35	1	0.013889	0.888889	0.138889
[103.4,103.5[	103.45	0	0	0.888889	0
[103.5,103.6[	103.55	3	0.041667	0.930556	0.416667
[103.6,103.7[	103.65	0	0	0.930556	0
[103.7,103.8[	103.75	1	0.013889	0.944444	0.138889
[103.8,103.9[	103.85	0	0	0.944444	0
[103.9,104[	103.95	1	0.013889	0.958333	0.138889
[104,104.1[	104.05	0	0	0.958333	0
[104.1,104.2[	104.15	0	0	0.958333	0
[104.2,104.3[	104.25	1	0.013889	0.972222	0.138889
[104.3,104.4[	104.35	0	0	0.972222	0
[104.4,104.5]	104.45	2	0.027778	1	0.277778

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[99.1,99.2[ & 99.15 & 2 & 0.027778 & 0.027778 & 0.277778 \tabularnewline
[99.2,99.3[ & 99.25 & 0 & 0 & 0.027778 & 0 \tabularnewline
[99.3,99.4[ & 99.35 & 1 & 0.013889 & 0.041667 & 0.138889 \tabularnewline
[99.4,99.5[ & 99.45 & 0 & 0 & 0.041667 & 0 \tabularnewline
[99.5,99.6[ & 99.55 & 0 & 0 & 0.041667 & 0 \tabularnewline
[99.6,99.7[ & 99.65 & 2 & 0.027778 & 0.069444 & 0.277778 \tabularnewline
[99.7,99.8[ & 99.75 & 1 & 0.013889 & 0.083333 & 0.138889 \tabularnewline
[99.8,99.9[ & 99.85 & 0 & 0 & 0.083333 & 0 \tabularnewline
[99.9,100[ & 99.95 & 1 & 0.013889 & 0.097222 & 0.138889 \tabularnewline
[100,100.1[ & 100.05 & 1 & 0.013889 & 0.111111 & 0.138889 \tabularnewline
[100.1,100.2[ & 100.15 & 0 & 0 & 0.111111 & 0 \tabularnewline
[100.2,100.3[ & 100.25 & 0 & 0 & 0.111111 & 0 \tabularnewline
[100.3,100.4[ & 100.35 & 1 & 0.013889 & 0.125 & 0.138889 \tabularnewline
[100.4,100.5[ & 100.45 & 0 & 0 & 0.125 & 0 \tabularnewline
[100.5,100.6[ & 100.55 & 0 & 0 & 0.125 & 0 \tabularnewline
[100.6,100.7[ & 100.65 & 0 & 0 & 0.125 & 0 \tabularnewline
[100.7,100.8[ & 100.75 & 1 & 0.013889 & 0.138889 & 0.138889 \tabularnewline
[100.8,100.9[ & 100.85 & 1 & 0.013889 & 0.152778 & 0.138889 \tabularnewline
[100.9,101[ & 100.95 & 1 & 0.013889 & 0.166667 & 0.138889 \tabularnewline
[101,101.1[ & 101.05 & 8 & 0.111111 & 0.277778 & 1.111111 \tabularnewline
[101.1,101.2[ & 101.15 & 7 & 0.097222 & 0.375 & 0.972222 \tabularnewline
[101.2,101.3[ & 101.25 & 9 & 0.125 & 0.5 & 1.25 \tabularnewline
[101.3,101.4[ & 101.35 & 0 & 0 & 0.5 & 0 \tabularnewline
[101.4,101.5[ & 101.45 & 0 & 0 & 0.5 & 0 \tabularnewline
[101.5,101.6[ & 101.55 & 1 & 0.013889 & 0.513889 & 0.138889 \tabularnewline
[101.6,101.7[ & 101.65 & 4 & 0.055556 & 0.569444 & 0.555556 \tabularnewline
[101.7,101.8[ & 101.75 & 1 & 0.013889 & 0.583333 & 0.138889 \tabularnewline
[101.8,101.9[ & 101.85 & 3 & 0.041667 & 0.625 & 0.416667 \tabularnewline
[101.9,102[ & 101.95 & 4 & 0.055556 & 0.680556 & 0.555556 \tabularnewline
[102,102.1[ & 102.05 & 4 & 0.055556 & 0.736111 & 0.555556 \tabularnewline
[102.1,102.2[ & 102.15 & 2 & 0.027778 & 0.763889 & 0.277778 \tabularnewline
[102.2,102.3[ & 102.25 & 0 & 0 & 0.763889 & 0 \tabularnewline
[102.3,102.4[ & 102.35 & 0 & 0 & 0.763889 & 0 \tabularnewline
[102.4,102.5[ & 102.45 & 0 & 0 & 0.763889 & 0 \tabularnewline
[102.5,102.6[ & 102.55 & 1 & 0.013889 & 0.777778 & 0.138889 \tabularnewline
[102.6,102.7[ & 102.65 & 0 & 0 & 0.777778 & 0 \tabularnewline
[102.7,102.8[ & 102.75 & 0 & 0 & 0.777778 & 0 \tabularnewline
[102.8,102.9[ & 102.85 & 2 & 0.027778 & 0.805556 & 0.277778 \tabularnewline
[102.9,103[ & 102.95 & 1 & 0.013889 & 0.819444 & 0.138889 \tabularnewline
[103,103.1[ & 103.05 & 1 & 0.013889 & 0.833333 & 0.138889 \tabularnewline
[103.1,103.2[ & 103.15 & 0 & 0 & 0.833333 & 0 \tabularnewline
[103.2,103.3[ & 103.25 & 3 & 0.041667 & 0.875 & 0.416667 \tabularnewline
[103.3,103.4[ & 103.35 & 1 & 0.013889 & 0.888889 & 0.138889 \tabularnewline
[103.4,103.5[ & 103.45 & 0 & 0 & 0.888889 & 0 \tabularnewline
[103.5,103.6[ & 103.55 & 3 & 0.041667 & 0.930556 & 0.416667 \tabularnewline
[103.6,103.7[ & 103.65 & 0 & 0 & 0.930556 & 0 \tabularnewline
[103.7,103.8[ & 103.75 & 1 & 0.013889 & 0.944444 & 0.138889 \tabularnewline
[103.8,103.9[ & 103.85 & 0 & 0 & 0.944444 & 0 \tabularnewline
[103.9,104[ & 103.95 & 1 & 0.013889 & 0.958333 & 0.138889 \tabularnewline
[104,104.1[ & 104.05 & 0 & 0 & 0.958333 & 0 \tabularnewline
[104.1,104.2[ & 104.15 & 0 & 0 & 0.958333 & 0 \tabularnewline
[104.2,104.3[ & 104.25 & 1 & 0.013889 & 0.972222 & 0.138889 \tabularnewline
[104.3,104.4[ & 104.35 & 0 & 0 & 0.972222 & 0 \tabularnewline
[104.4,104.5] & 104.45 & 2 & 0.027778 & 1 & 0.277778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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][99.1,99.2[[/C][C]99.15[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]0.277778[/C][/ROW]
[ROW][C][99.2,99.3[[/C][C]99.25[/C][C]0[/C][C]0[/C][C]0.027778[/C][C]0[/C][/ROW]
[ROW][C][99.3,99.4[[/C][C]99.35[/C][C]1[/C][C]0.013889[/C][C]0.041667[/C][C]0.138889[/C][/ROW]
[ROW][C][99.4,99.5[[/C][C]99.45[/C][C]0[/C][C]0[/C][C]0.041667[/C][C]0[/C][/ROW]
[ROW][C][99.5,99.6[[/C][C]99.55[/C][C]0[/C][C]0[/C][C]0.041667[/C][C]0[/C][/ROW]
[ROW][C][99.6,99.7[[/C][C]99.65[/C][C]2[/C][C]0.027778[/C][C]0.069444[/C][C]0.277778[/C][/ROW]
[ROW][C][99.7,99.8[[/C][C]99.75[/C][C]1[/C][C]0.013889[/C][C]0.083333[/C][C]0.138889[/C][/ROW]
[ROW][C][99.8,99.9[[/C][C]99.85[/C][C]0[/C][C]0[/C][C]0.083333[/C][C]0[/C][/ROW]
[ROW][C][99.9,100[[/C][C]99.95[/C][C]1[/C][C]0.013889[/C][C]0.097222[/C][C]0.138889[/C][/ROW]
[ROW][C][100,100.1[[/C][C]100.05[/C][C]1[/C][C]0.013889[/C][C]0.111111[/C][C]0.138889[/C][/ROW]
[ROW][C][100.1,100.2[[/C][C]100.15[/C][C]0[/C][C]0[/C][C]0.111111[/C][C]0[/C][/ROW]
[ROW][C][100.2,100.3[[/C][C]100.25[/C][C]0[/C][C]0[/C][C]0.111111[/C][C]0[/C][/ROW]
[ROW][C][100.3,100.4[[/C][C]100.35[/C][C]1[/C][C]0.013889[/C][C]0.125[/C][C]0.138889[/C][/ROW]
[ROW][C][100.4,100.5[[/C][C]100.45[/C][C]0[/C][C]0[/C][C]0.125[/C][C]0[/C][/ROW]
[ROW][C][100.5,100.6[[/C][C]100.55[/C][C]0[/C][C]0[/C][C]0.125[/C][C]0[/C][/ROW]
[ROW][C][100.6,100.7[[/C][C]100.65[/C][C]0[/C][C]0[/C][C]0.125[/C][C]0[/C][/ROW]
[ROW][C][100.7,100.8[[/C][C]100.75[/C][C]1[/C][C]0.013889[/C][C]0.138889[/C][C]0.138889[/C][/ROW]
[ROW][C][100.8,100.9[[/C][C]100.85[/C][C]1[/C][C]0.013889[/C][C]0.152778[/C][C]0.138889[/C][/ROW]
[ROW][C][100.9,101[[/C][C]100.95[/C][C]1[/C][C]0.013889[/C][C]0.166667[/C][C]0.138889[/C][/ROW]
[ROW][C][101,101.1[[/C][C]101.05[/C][C]8[/C][C]0.111111[/C][C]0.277778[/C][C]1.111111[/C][/ROW]
[ROW][C][101.1,101.2[[/C][C]101.15[/C][C]7[/C][C]0.097222[/C][C]0.375[/C][C]0.972222[/C][/ROW]
[ROW][C][101.2,101.3[[/C][C]101.25[/C][C]9[/C][C]0.125[/C][C]0.5[/C][C]1.25[/C][/ROW]
[ROW][C][101.3,101.4[[/C][C]101.35[/C][C]0[/C][C]0[/C][C]0.5[/C][C]0[/C][/ROW]
[ROW][C][101.4,101.5[[/C][C]101.45[/C][C]0[/C][C]0[/C][C]0.5[/C][C]0[/C][/ROW]
[ROW][C][101.5,101.6[[/C][C]101.55[/C][C]1[/C][C]0.013889[/C][C]0.513889[/C][C]0.138889[/C][/ROW]
[ROW][C][101.6,101.7[[/C][C]101.65[/C][C]4[/C][C]0.055556[/C][C]0.569444[/C][C]0.555556[/C][/ROW]
[ROW][C][101.7,101.8[[/C][C]101.75[/C][C]1[/C][C]0.013889[/C][C]0.583333[/C][C]0.138889[/C][/ROW]
[ROW][C][101.8,101.9[[/C][C]101.85[/C][C]3[/C][C]0.041667[/C][C]0.625[/C][C]0.416667[/C][/ROW]
[ROW][C][101.9,102[[/C][C]101.95[/C][C]4[/C][C]0.055556[/C][C]0.680556[/C][C]0.555556[/C][/ROW]
[ROW][C][102,102.1[[/C][C]102.05[/C][C]4[/C][C]0.055556[/C][C]0.736111[/C][C]0.555556[/C][/ROW]
[ROW][C][102.1,102.2[[/C][C]102.15[/C][C]2[/C][C]0.027778[/C][C]0.763889[/C][C]0.277778[/C][/ROW]
[ROW][C][102.2,102.3[[/C][C]102.25[/C][C]0[/C][C]0[/C][C]0.763889[/C][C]0[/C][/ROW]
[ROW][C][102.3,102.4[[/C][C]102.35[/C][C]0[/C][C]0[/C][C]0.763889[/C][C]0[/C][/ROW]
[ROW][C][102.4,102.5[[/C][C]102.45[/C][C]0[/C][C]0[/C][C]0.763889[/C][C]0[/C][/ROW]
[ROW][C][102.5,102.6[[/C][C]102.55[/C][C]1[/C][C]0.013889[/C][C]0.777778[/C][C]0.138889[/C][/ROW]
[ROW][C][102.6,102.7[[/C][C]102.65[/C][C]0[/C][C]0[/C][C]0.777778[/C][C]0[/C][/ROW]
[ROW][C][102.7,102.8[[/C][C]102.75[/C][C]0[/C][C]0[/C][C]0.777778[/C][C]0[/C][/ROW]
[ROW][C][102.8,102.9[[/C][C]102.85[/C][C]2[/C][C]0.027778[/C][C]0.805556[/C][C]0.277778[/C][/ROW]
[ROW][C][102.9,103[[/C][C]102.95[/C][C]1[/C][C]0.013889[/C][C]0.819444[/C][C]0.138889[/C][/ROW]
[ROW][C][103,103.1[[/C][C]103.05[/C][C]1[/C][C]0.013889[/C][C]0.833333[/C][C]0.138889[/C][/ROW]
[ROW][C][103.1,103.2[[/C][C]103.15[/C][C]0[/C][C]0[/C][C]0.833333[/C][C]0[/C][/ROW]
[ROW][C][103.2,103.3[[/C][C]103.25[/C][C]3[/C][C]0.041667[/C][C]0.875[/C][C]0.416667[/C][/ROW]
[ROW][C][103.3,103.4[[/C][C]103.35[/C][C]1[/C][C]0.013889[/C][C]0.888889[/C][C]0.138889[/C][/ROW]
[ROW][C][103.4,103.5[[/C][C]103.45[/C][C]0[/C][C]0[/C][C]0.888889[/C][C]0[/C][/ROW]
[ROW][C][103.5,103.6[[/C][C]103.55[/C][C]3[/C][C]0.041667[/C][C]0.930556[/C][C]0.416667[/C][/ROW]
[ROW][C][103.6,103.7[[/C][C]103.65[/C][C]0[/C][C]0[/C][C]0.930556[/C][C]0[/C][/ROW]
[ROW][C][103.7,103.8[[/C][C]103.75[/C][C]1[/C][C]0.013889[/C][C]0.944444[/C][C]0.138889[/C][/ROW]
[ROW][C][103.8,103.9[[/C][C]103.85[/C][C]0[/C][C]0[/C][C]0.944444[/C][C]0[/C][/ROW]
[ROW][C][103.9,104[[/C][C]103.95[/C][C]1[/C][C]0.013889[/C][C]0.958333[/C][C]0.138889[/C][/ROW]
[ROW][C][104,104.1[[/C][C]104.05[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][104.1,104.2[[/C][C]104.15[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][104.2,104.3[[/C][C]104.25[/C][C]1[/C][C]0.013889[/C][C]0.972222[/C][C]0.138889[/C][/ROW]
[ROW][C][104.3,104.4[[/C][C]104.35[/C][C]0[/C][C]0[/C][C]0.972222[/C][C]0[/C][/ROW]
[ROW][C][104.4,104.5][/C][C]104.45[/C][C]2[/C][C]0.027778[/C][C]1[/C][C]0.277778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[99.1,99.2[	99.15	2	0.027778	0.027778	0.277778
[99.2,99.3[	99.25	0	0	0.027778	0
[99.3,99.4[	99.35	1	0.013889	0.041667	0.138889
[99.4,99.5[	99.45	0	0	0.041667	0
[99.5,99.6[	99.55	0	0	0.041667	0
[99.6,99.7[	99.65	2	0.027778	0.069444	0.277778
[99.7,99.8[	99.75	1	0.013889	0.083333	0.138889
[99.8,99.9[	99.85	0	0	0.083333	0
[99.9,100[	99.95	1	0.013889	0.097222	0.138889
[100,100.1[	100.05	1	0.013889	0.111111	0.138889
[100.1,100.2[	100.15	0	0	0.111111	0
[100.2,100.3[	100.25	0	0	0.111111	0
[100.3,100.4[	100.35	1	0.013889	0.125	0.138889
[100.4,100.5[	100.45	0	0	0.125	0
[100.5,100.6[	100.55	0	0	0.125	0
[100.6,100.7[	100.65	0	0	0.125	0
[100.7,100.8[	100.75	1	0.013889	0.138889	0.138889
[100.8,100.9[	100.85	1	0.013889	0.152778	0.138889
[100.9,101[	100.95	1	0.013889	0.166667	0.138889
[101,101.1[	101.05	8	0.111111	0.277778	1.111111
[101.1,101.2[	101.15	7	0.097222	0.375	0.972222
[101.2,101.3[	101.25	9	0.125	0.5	1.25
[101.3,101.4[	101.35	0	0	0.5	0
[101.4,101.5[	101.45	0	0	0.5	0
[101.5,101.6[	101.55	1	0.013889	0.513889	0.138889
[101.6,101.7[	101.65	4	0.055556	0.569444	0.555556
[101.7,101.8[	101.75	1	0.013889	0.583333	0.138889
[101.8,101.9[	101.85	3	0.041667	0.625	0.416667
[101.9,102[	101.95	4	0.055556	0.680556	0.555556
[102,102.1[	102.05	4	0.055556	0.736111	0.555556
[102.1,102.2[	102.15	2	0.027778	0.763889	0.277778
[102.2,102.3[	102.25	0	0	0.763889	0
[102.3,102.4[	102.35	0	0	0.763889	0
[102.4,102.5[	102.45	0	0	0.763889	0
[102.5,102.6[	102.55	1	0.013889	0.777778	0.138889
[102.6,102.7[	102.65	0	0	0.777778	0
[102.7,102.8[	102.75	0	0	0.777778	0
[102.8,102.9[	102.85	2	0.027778	0.805556	0.277778
[102.9,103[	102.95	1	0.013889	0.819444	0.138889
[103,103.1[	103.05	1	0.013889	0.833333	0.138889
[103.1,103.2[	103.15	0	0	0.833333	0
[103.2,103.3[	103.25	3	0.041667	0.875	0.416667
[103.3,103.4[	103.35	1	0.013889	0.888889	0.138889
[103.4,103.5[	103.45	0	0	0.888889	0
[103.5,103.6[	103.55	3	0.041667	0.930556	0.416667
[103.6,103.7[	103.65	0	0	0.930556	0
[103.7,103.8[	103.75	1	0.013889	0.944444	0.138889
[103.8,103.9[	103.85	0	0	0.944444	0
[103.9,104[	103.95	1	0.013889	0.958333	0.138889
[104,104.1[	104.05	0	0	0.958333	0
[104.1,104.2[	104.15	0	0	0.958333	0
[104.2,104.3[	104.25	1	0.013889	0.972222	0.138889
[104.3,104.4[	104.35	0	0	0.972222	0
[104.4,104.5]	104.45	2	0.027778	1	0.277778

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 45 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 45 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

R code (references can be found in the software module):

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '2'
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 {
barplot(mytab <- sort(table(x),T),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