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R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sat, 29 Sep 2012 17:56:03 -0400

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/2012/Sep/29/t1348955789r2e2un3oq993amq.htm/, Retrieved Thu, 02 May 2024 22:00:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170487, Retrieved Thu, 02 May 2024 22:00:15 +0000

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Estimated Impact

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

-     [Histogram] [gemiddelde consum...] [2012-09-29 21:53:15] [d8b265d30b4f0633bb4f7e2bd1bbc5a6]
- R PD  [Histogram] [gemiddelde consum...] [2012-09-29 21:54:56] [d8b265d30b4f0633bb4f7e2bd1bbc5a6]
-   P       [Histogram] [gemiddelde consum...] [2012-09-29 21:56:03] [dea6f921e04cc33dad49f75b9d343660] [Current]

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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	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170487&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170487&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170487&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	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[100.2,100.4[	100.3	1	0.013889	0.013889	0.069444
[100.4,100.6[	100.5	1	0.013889	0.027778	0.069444
[100.6,100.8[	100.7	0	0	0.027778	0
[100.8,101[	100.9	0	0	0.027778	0
[101,101.2[	101.1	0	0	0.027778	0
[101.2,101.4[	101.3	0	0	0.027778	0
[101.4,101.6[	101.5	1	0.013889	0.041667	0.069444
[101.6,101.8[	101.7	0	0	0.041667	0
[101.8,102[	101.9	0	0	0.041667	0
[102,102.2[	102.1	0	0	0.041667	0
[102.2,102.4[	102.3	1	0.013889	0.055556	0.069444
[102.4,102.6[	102.5	0	0	0.055556	0
[102.6,102.8[	102.7	1	0.013889	0.069444	0.069444
[102.8,103[	102.9	0	0	0.069444	0
[103,103.2[	103.1	0	0	0.069444	0
[103.2,103.4[	103.3	0	0	0.069444	0
[103.4,103.6[	103.5	0	0	0.069444	0
[103.6,103.8[	103.7	2	0.027778	0.097222	0.138889
[103.8,104[	103.9	0	0	0.097222	0
[104,104.2[	104.1	0	0	0.097222	0
[104.2,104.4[	104.3	1	0.013889	0.111111	0.069444
[104.4,104.6[	104.5	0	0	0.111111	0
[104.6,104.8[	104.7	1	0.013889	0.125	0.069444
[104.8,105[	104.9	1	0.013889	0.138889	0.069444
[105,105.2[	105.1	3	0.041667	0.180556	0.208333
[105.2,105.4[	105.3	1	0.013889	0.194444	0.069444
[105.4,105.6[	105.5	2	0.027778	0.222222	0.138889
[105.6,105.8[	105.7	2	0.027778	0.25	0.138889
[105.8,106[	105.9	0	0	0.25	0
[106,106.2[	106.1	1	0.013889	0.263889	0.069444
[106.2,106.4[	106.3	3	0.041667	0.305556	0.208333
[106.4,106.6[	106.5	1	0.013889	0.319444	0.069444
[106.6,106.8[	106.7	4	0.055556	0.375	0.277778
[106.8,107[	106.9	10	0.138889	0.513889	0.694444
[107,107.2[	107.1	0	0	0.513889	0
[107.2,107.4[	107.3	1	0.013889	0.527778	0.069444
[107.4,107.6[	107.5	1	0.013889	0.541667	0.069444
[107.6,107.8[	107.7	2	0.027778	0.569444	0.138889
[107.8,108[	107.9	2	0.027778	0.597222	0.138889
[108,108.2[	108.1	4	0.055556	0.652778	0.277778
[108.2,108.4[	108.3	3	0.041667	0.694444	0.208333
[108.4,108.6[	108.5	2	0.027778	0.722222	0.138889
[108.6,108.8[	108.7	2	0.027778	0.75	0.138889
[108.8,109[	108.9	2	0.027778	0.777778	0.138889
[109,109.2[	109.1	3	0.041667	0.819444	0.208333
[109.2,109.4[	109.3	1	0.013889	0.833333	0.069444
[109.4,109.6[	109.5	1	0.013889	0.847222	0.069444
[109.6,109.8[	109.7	3	0.041667	0.888889	0.208333
[109.8,110[	109.9	0	0	0.888889	0
[110,110.2[	110.1	1	0.013889	0.902778	0.069444
[110.2,110.4[	110.3	0	0	0.902778	0
[110.4,110.6[	110.5	1	0.013889	0.916667	0.069444
[110.6,110.8[	110.7	1	0.013889	0.930556	0.069444
[110.8,111[	110.9	2	0.027778	0.958333	0.138889
[111,111.2[	111.1	0	0	0.958333	0
[111.2,111.4[	111.3	2	0.027778	0.986111	0.138889
[111.4,111.6[	111.5	0	0	0.986111	0
[111.6,111.8[	111.7	0	0	0.986111	0
[111.8,112[	111.9	0	0	0.986111	0
[112,112.2[	112.1	0	0	0.986111	0
[112.2,112.4]	112.3	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
[100.2,100.4[ & 100.3 & 1 & 0.013889 & 0.013889 & 0.069444 \tabularnewline
[100.4,100.6[ & 100.5 & 1 & 0.013889 & 0.027778 & 0.069444 \tabularnewline
[100.6,100.8[ & 100.7 & 0 & 0 & 0.027778 & 0 \tabularnewline
[100.8,101[ & 100.9 & 0 & 0 & 0.027778 & 0 \tabularnewline
[101,101.2[ & 101.1 & 0 & 0 & 0.027778 & 0 \tabularnewline
[101.2,101.4[ & 101.3 & 0 & 0 & 0.027778 & 0 \tabularnewline
[101.4,101.6[ & 101.5 & 1 & 0.013889 & 0.041667 & 0.069444 \tabularnewline
[101.6,101.8[ & 101.7 & 0 & 0 & 0.041667 & 0 \tabularnewline
[101.8,102[ & 101.9 & 0 & 0 & 0.041667 & 0 \tabularnewline
[102,102.2[ & 102.1 & 0 & 0 & 0.041667 & 0 \tabularnewline
[102.2,102.4[ & 102.3 & 1 & 0.013889 & 0.055556 & 0.069444 \tabularnewline
[102.4,102.6[ & 102.5 & 0 & 0 & 0.055556 & 0 \tabularnewline
[102.6,102.8[ & 102.7 & 1 & 0.013889 & 0.069444 & 0.069444 \tabularnewline
[102.8,103[ & 102.9 & 0 & 0 & 0.069444 & 0 \tabularnewline
[103,103.2[ & 103.1 & 0 & 0 & 0.069444 & 0 \tabularnewline
[103.2,103.4[ & 103.3 & 0 & 0 & 0.069444 & 0 \tabularnewline
[103.4,103.6[ & 103.5 & 0 & 0 & 0.069444 & 0 \tabularnewline
[103.6,103.8[ & 103.7 & 2 & 0.027778 & 0.097222 & 0.138889 \tabularnewline
[103.8,104[ & 103.9 & 0 & 0 & 0.097222 & 0 \tabularnewline
[104,104.2[ & 104.1 & 0 & 0 & 0.097222 & 0 \tabularnewline
[104.2,104.4[ & 104.3 & 1 & 0.013889 & 0.111111 & 0.069444 \tabularnewline
[104.4,104.6[ & 104.5 & 0 & 0 & 0.111111 & 0 \tabularnewline
[104.6,104.8[ & 104.7 & 1 & 0.013889 & 0.125 & 0.069444 \tabularnewline
[104.8,105[ & 104.9 & 1 & 0.013889 & 0.138889 & 0.069444 \tabularnewline
[105,105.2[ & 105.1 & 3 & 0.041667 & 0.180556 & 0.208333 \tabularnewline
[105.2,105.4[ & 105.3 & 1 & 0.013889 & 0.194444 & 0.069444 \tabularnewline
[105.4,105.6[ & 105.5 & 2 & 0.027778 & 0.222222 & 0.138889 \tabularnewline
[105.6,105.8[ & 105.7 & 2 & 0.027778 & 0.25 & 0.138889 \tabularnewline
[105.8,106[ & 105.9 & 0 & 0 & 0.25 & 0 \tabularnewline
[106,106.2[ & 106.1 & 1 & 0.013889 & 0.263889 & 0.069444 \tabularnewline
[106.2,106.4[ & 106.3 & 3 & 0.041667 & 0.305556 & 0.208333 \tabularnewline
[106.4,106.6[ & 106.5 & 1 & 0.013889 & 0.319444 & 0.069444 \tabularnewline
[106.6,106.8[ & 106.7 & 4 & 0.055556 & 0.375 & 0.277778 \tabularnewline
[106.8,107[ & 106.9 & 10 & 0.138889 & 0.513889 & 0.694444 \tabularnewline
[107,107.2[ & 107.1 & 0 & 0 & 0.513889 & 0 \tabularnewline
[107.2,107.4[ & 107.3 & 1 & 0.013889 & 0.527778 & 0.069444 \tabularnewline
[107.4,107.6[ & 107.5 & 1 & 0.013889 & 0.541667 & 0.069444 \tabularnewline
[107.6,107.8[ & 107.7 & 2 & 0.027778 & 0.569444 & 0.138889 \tabularnewline
[107.8,108[ & 107.9 & 2 & 0.027778 & 0.597222 & 0.138889 \tabularnewline
[108,108.2[ & 108.1 & 4 & 0.055556 & 0.652778 & 0.277778 \tabularnewline
[108.2,108.4[ & 108.3 & 3 & 0.041667 & 0.694444 & 0.208333 \tabularnewline
[108.4,108.6[ & 108.5 & 2 & 0.027778 & 0.722222 & 0.138889 \tabularnewline
[108.6,108.8[ & 108.7 & 2 & 0.027778 & 0.75 & 0.138889 \tabularnewline
[108.8,109[ & 108.9 & 2 & 0.027778 & 0.777778 & 0.138889 \tabularnewline
[109,109.2[ & 109.1 & 3 & 0.041667 & 0.819444 & 0.208333 \tabularnewline
[109.2,109.4[ & 109.3 & 1 & 0.013889 & 0.833333 & 0.069444 \tabularnewline
[109.4,109.6[ & 109.5 & 1 & 0.013889 & 0.847222 & 0.069444 \tabularnewline
[109.6,109.8[ & 109.7 & 3 & 0.041667 & 0.888889 & 0.208333 \tabularnewline
[109.8,110[ & 109.9 & 0 & 0 & 0.888889 & 0 \tabularnewline
[110,110.2[ & 110.1 & 1 & 0.013889 & 0.902778 & 0.069444 \tabularnewline
[110.2,110.4[ & 110.3 & 0 & 0 & 0.902778 & 0 \tabularnewline
[110.4,110.6[ & 110.5 & 1 & 0.013889 & 0.916667 & 0.069444 \tabularnewline
[110.6,110.8[ & 110.7 & 1 & 0.013889 & 0.930556 & 0.069444 \tabularnewline
[110.8,111[ & 110.9 & 2 & 0.027778 & 0.958333 & 0.138889 \tabularnewline
[111,111.2[ & 111.1 & 0 & 0 & 0.958333 & 0 \tabularnewline
[111.2,111.4[ & 111.3 & 2 & 0.027778 & 0.986111 & 0.138889 \tabularnewline
[111.4,111.6[ & 111.5 & 0 & 0 & 0.986111 & 0 \tabularnewline
[111.6,111.8[ & 111.7 & 0 & 0 & 0.986111 & 0 \tabularnewline
[111.8,112[ & 111.9 & 0 & 0 & 0.986111 & 0 \tabularnewline
[112,112.2[ & 112.1 & 0 & 0 & 0.986111 & 0 \tabularnewline
[112.2,112.4] & 112.3 & 1 & 0.013889 & 1 & 0.069444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170487&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][100.2,100.4[[/C][C]100.3[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.069444[/C][/ROW]
[ROW][C][100.4,100.6[[/C][C]100.5[/C][C]1[/C][C]0.013889[/C][C]0.027778[/C][C]0.069444[/C][/ROW]
[ROW][C][100.6,100.8[[/C][C]100.7[/C][C]0[/C][C]0[/C][C]0.027778[/C][C]0[/C][/ROW]
[ROW][C][100.8,101[[/C][C]100.9[/C][C]0[/C][C]0[/C][C]0.027778[/C][C]0[/C][/ROW]
[ROW][C][101,101.2[[/C][C]101.1[/C][C]0[/C][C]0[/C][C]0.027778[/C][C]0[/C][/ROW]
[ROW][C][101.2,101.4[[/C][C]101.3[/C][C]0[/C][C]0[/C][C]0.027778[/C][C]0[/C][/ROW]
[ROW][C][101.4,101.6[[/C][C]101.5[/C][C]1[/C][C]0.013889[/C][C]0.041667[/C][C]0.069444[/C][/ROW]
[ROW][C][101.6,101.8[[/C][C]101.7[/C][C]0[/C][C]0[/C][C]0.041667[/C][C]0[/C][/ROW]
[ROW][C][101.8,102[[/C][C]101.9[/C][C]0[/C][C]0[/C][C]0.041667[/C][C]0[/C][/ROW]
[ROW][C][102,102.2[[/C][C]102.1[/C][C]0[/C][C]0[/C][C]0.041667[/C][C]0[/C][/ROW]
[ROW][C][102.2,102.4[[/C][C]102.3[/C][C]1[/C][C]0.013889[/C][C]0.055556[/C][C]0.069444[/C][/ROW]
[ROW][C][102.4,102.6[[/C][C]102.5[/C][C]0[/C][C]0[/C][C]0.055556[/C][C]0[/C][/ROW]
[ROW][C][102.6,102.8[[/C][C]102.7[/C][C]1[/C][C]0.013889[/C][C]0.069444[/C][C]0.069444[/C][/ROW]
[ROW][C][102.8,103[[/C][C]102.9[/C][C]0[/C][C]0[/C][C]0.069444[/C][C]0[/C][/ROW]
[ROW][C][103,103.2[[/C][C]103.1[/C][C]0[/C][C]0[/C][C]0.069444[/C][C]0[/C][/ROW]
[ROW][C][103.2,103.4[[/C][C]103.3[/C][C]0[/C][C]0[/C][C]0.069444[/C][C]0[/C][/ROW]
[ROW][C][103.4,103.6[[/C][C]103.5[/C][C]0[/C][C]0[/C][C]0.069444[/C][C]0[/C][/ROW]
[ROW][C][103.6,103.8[[/C][C]103.7[/C][C]2[/C][C]0.027778[/C][C]0.097222[/C][C]0.138889[/C][/ROW]
[ROW][C][103.8,104[[/C][C]103.9[/C][C]0[/C][C]0[/C][C]0.097222[/C][C]0[/C][/ROW]
[ROW][C][104,104.2[[/C][C]104.1[/C][C]0[/C][C]0[/C][C]0.097222[/C][C]0[/C][/ROW]
[ROW][C][104.2,104.4[[/C][C]104.3[/C][C]1[/C][C]0.013889[/C][C]0.111111[/C][C]0.069444[/C][/ROW]
[ROW][C][104.4,104.6[[/C][C]104.5[/C][C]0[/C][C]0[/C][C]0.111111[/C][C]0[/C][/ROW]
[ROW][C][104.6,104.8[[/C][C]104.7[/C][C]1[/C][C]0.013889[/C][C]0.125[/C][C]0.069444[/C][/ROW]
[ROW][C][104.8,105[[/C][C]104.9[/C][C]1[/C][C]0.013889[/C][C]0.138889[/C][C]0.069444[/C][/ROW]
[ROW][C][105,105.2[[/C][C]105.1[/C][C]3[/C][C]0.041667[/C][C]0.180556[/C][C]0.208333[/C][/ROW]
[ROW][C][105.2,105.4[[/C][C]105.3[/C][C]1[/C][C]0.013889[/C][C]0.194444[/C][C]0.069444[/C][/ROW]
[ROW][C][105.4,105.6[[/C][C]105.5[/C][C]2[/C][C]0.027778[/C][C]0.222222[/C][C]0.138889[/C][/ROW]
[ROW][C][105.6,105.8[[/C][C]105.7[/C][C]2[/C][C]0.027778[/C][C]0.25[/C][C]0.138889[/C][/ROW]
[ROW][C][105.8,106[[/C][C]105.9[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][106,106.2[[/C][C]106.1[/C][C]1[/C][C]0.013889[/C][C]0.263889[/C][C]0.069444[/C][/ROW]
[ROW][C][106.2,106.4[[/C][C]106.3[/C][C]3[/C][C]0.041667[/C][C]0.305556[/C][C]0.208333[/C][/ROW]
[ROW][C][106.4,106.6[[/C][C]106.5[/C][C]1[/C][C]0.013889[/C][C]0.319444[/C][C]0.069444[/C][/ROW]
[ROW][C][106.6,106.8[[/C][C]106.7[/C][C]4[/C][C]0.055556[/C][C]0.375[/C][C]0.277778[/C][/ROW]
[ROW][C][106.8,107[[/C][C]106.9[/C][C]10[/C][C]0.138889[/C][C]0.513889[/C][C]0.694444[/C][/ROW]
[ROW][C][107,107.2[[/C][C]107.1[/C][C]0[/C][C]0[/C][C]0.513889[/C][C]0[/C][/ROW]
[ROW][C][107.2,107.4[[/C][C]107.3[/C][C]1[/C][C]0.013889[/C][C]0.527778[/C][C]0.069444[/C][/ROW]
[ROW][C][107.4,107.6[[/C][C]107.5[/C][C]1[/C][C]0.013889[/C][C]0.541667[/C][C]0.069444[/C][/ROW]
[ROW][C][107.6,107.8[[/C][C]107.7[/C][C]2[/C][C]0.027778[/C][C]0.569444[/C][C]0.138889[/C][/ROW]
[ROW][C][107.8,108[[/C][C]107.9[/C][C]2[/C][C]0.027778[/C][C]0.597222[/C][C]0.138889[/C][/ROW]
[ROW][C][108,108.2[[/C][C]108.1[/C][C]4[/C][C]0.055556[/C][C]0.652778[/C][C]0.277778[/C][/ROW]
[ROW][C][108.2,108.4[[/C][C]108.3[/C][C]3[/C][C]0.041667[/C][C]0.694444[/C][C]0.208333[/C][/ROW]
[ROW][C][108.4,108.6[[/C][C]108.5[/C][C]2[/C][C]0.027778[/C][C]0.722222[/C][C]0.138889[/C][/ROW]
[ROW][C][108.6,108.8[[/C][C]108.7[/C][C]2[/C][C]0.027778[/C][C]0.75[/C][C]0.138889[/C][/ROW]
[ROW][C][108.8,109[[/C][C]108.9[/C][C]2[/C][C]0.027778[/C][C]0.777778[/C][C]0.138889[/C][/ROW]
[ROW][C][109,109.2[[/C][C]109.1[/C][C]3[/C][C]0.041667[/C][C]0.819444[/C][C]0.208333[/C][/ROW]
[ROW][C][109.2,109.4[[/C][C]109.3[/C][C]1[/C][C]0.013889[/C][C]0.833333[/C][C]0.069444[/C][/ROW]
[ROW][C][109.4,109.6[[/C][C]109.5[/C][C]1[/C][C]0.013889[/C][C]0.847222[/C][C]0.069444[/C][/ROW]
[ROW][C][109.6,109.8[[/C][C]109.7[/C][C]3[/C][C]0.041667[/C][C]0.888889[/C][C]0.208333[/C][/ROW]
[ROW][C][109.8,110[[/C][C]109.9[/C][C]0[/C][C]0[/C][C]0.888889[/C][C]0[/C][/ROW]
[ROW][C][110,110.2[[/C][C]110.1[/C][C]1[/C][C]0.013889[/C][C]0.902778[/C][C]0.069444[/C][/ROW]
[ROW][C][110.2,110.4[[/C][C]110.3[/C][C]0[/C][C]0[/C][C]0.902778[/C][C]0[/C][/ROW]
[ROW][C][110.4,110.6[[/C][C]110.5[/C][C]1[/C][C]0.013889[/C][C]0.916667[/C][C]0.069444[/C][/ROW]
[ROW][C][110.6,110.8[[/C][C]110.7[/C][C]1[/C][C]0.013889[/C][C]0.930556[/C][C]0.069444[/C][/ROW]
[ROW][C][110.8,111[[/C][C]110.9[/C][C]2[/C][C]0.027778[/C][C]0.958333[/C][C]0.138889[/C][/ROW]
[ROW][C][111,111.2[[/C][C]111.1[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][111.2,111.4[[/C][C]111.3[/C][C]2[/C][C]0.027778[/C][C]0.986111[/C][C]0.138889[/C][/ROW]
[ROW][C][111.4,111.6[[/C][C]111.5[/C][C]0[/C][C]0[/C][C]0.986111[/C][C]0[/C][/ROW]
[ROW][C][111.6,111.8[[/C][C]111.7[/C][C]0[/C][C]0[/C][C]0.986111[/C][C]0[/C][/ROW]
[ROW][C][111.8,112[[/C][C]111.9[/C][C]0[/C][C]0[/C][C]0.986111[/C][C]0[/C][/ROW]
[ROW][C][112,112.2[[/C][C]112.1[/C][C]0[/C][C]0[/C][C]0.986111[/C][C]0[/C][/ROW]
[ROW][C][112.2,112.4][/C][C]112.3[/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=170487&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170487&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
[100.2,100.4[	100.3	1	0.013889	0.013889	0.069444
[100.4,100.6[	100.5	1	0.013889	0.027778	0.069444
[100.6,100.8[	100.7	0	0	0.027778	0
[100.8,101[	100.9	0	0	0.027778	0
[101,101.2[	101.1	0	0	0.027778	0
[101.2,101.4[	101.3	0	0	0.027778	0
[101.4,101.6[	101.5	1	0.013889	0.041667	0.069444
[101.6,101.8[	101.7	0	0	0.041667	0
[101.8,102[	101.9	0	0	0.041667	0
[102,102.2[	102.1	0	0	0.041667	0
[102.2,102.4[	102.3	1	0.013889	0.055556	0.069444
[102.4,102.6[	102.5	0	0	0.055556	0
[102.6,102.8[	102.7	1	0.013889	0.069444	0.069444
[102.8,103[	102.9	0	0	0.069444	0
[103,103.2[	103.1	0	0	0.069444	0
[103.2,103.4[	103.3	0	0	0.069444	0
[103.4,103.6[	103.5	0	0	0.069444	0
[103.6,103.8[	103.7	2	0.027778	0.097222	0.138889
[103.8,104[	103.9	0	0	0.097222	0
[104,104.2[	104.1	0	0	0.097222	0
[104.2,104.4[	104.3	1	0.013889	0.111111	0.069444
[104.4,104.6[	104.5	0	0	0.111111	0
[104.6,104.8[	104.7	1	0.013889	0.125	0.069444
[104.8,105[	104.9	1	0.013889	0.138889	0.069444
[105,105.2[	105.1	3	0.041667	0.180556	0.208333
[105.2,105.4[	105.3	1	0.013889	0.194444	0.069444
[105.4,105.6[	105.5	2	0.027778	0.222222	0.138889
[105.6,105.8[	105.7	2	0.027778	0.25	0.138889
[105.8,106[	105.9	0	0	0.25	0
[106,106.2[	106.1	1	0.013889	0.263889	0.069444
[106.2,106.4[	106.3	3	0.041667	0.305556	0.208333
[106.4,106.6[	106.5	1	0.013889	0.319444	0.069444
[106.6,106.8[	106.7	4	0.055556	0.375	0.277778
[106.8,107[	106.9	10	0.138889	0.513889	0.694444
[107,107.2[	107.1	0	0	0.513889	0
[107.2,107.4[	107.3	1	0.013889	0.527778	0.069444
[107.4,107.6[	107.5	1	0.013889	0.541667	0.069444
[107.6,107.8[	107.7	2	0.027778	0.569444	0.138889
[107.8,108[	107.9	2	0.027778	0.597222	0.138889
[108,108.2[	108.1	4	0.055556	0.652778	0.277778
[108.2,108.4[	108.3	3	0.041667	0.694444	0.208333
[108.4,108.6[	108.5	2	0.027778	0.722222	0.138889
[108.6,108.8[	108.7	2	0.027778	0.75	0.138889
[108.8,109[	108.9	2	0.027778	0.777778	0.138889
[109,109.2[	109.1	3	0.041667	0.819444	0.208333
[109.2,109.4[	109.3	1	0.013889	0.833333	0.069444
[109.4,109.6[	109.5	1	0.013889	0.847222	0.069444
[109.6,109.8[	109.7	3	0.041667	0.888889	0.208333
[109.8,110[	109.9	0	0	0.888889	0
[110,110.2[	110.1	1	0.013889	0.902778	0.069444
[110.2,110.4[	110.3	0	0	0.902778	0
[110.4,110.6[	110.5	1	0.013889	0.916667	0.069444
[110.6,110.8[	110.7	1	0.013889	0.930556	0.069444
[110.8,111[	110.9	2	0.027778	0.958333	0.138889
[111,111.2[	111.1	0	0	0.958333	0
[111.2,111.4[	111.3	2	0.027778	0.986111	0.138889
[111.4,111.6[	111.5	0	0	0.986111	0
[111.6,111.8[	111.7	0	0	0.986111	0
[111.8,112[	111.9	0	0	0.986111	0
[112,112.2[	112.1	0	0	0.986111	0
[112.2,112.4]	112.3	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