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*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 24 Sep 2014 12:53:04 +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/Sep/24/t141155960913n2q9bs036ca8c.htm/, Retrieved Fri, 10 May 2024 04:52:50 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236114, Retrieved Fri, 10 May 2024 04:52:50 +0000

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Estimated Impact

121

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

-     [Univariate Data Series] [] [2014-09-24 10:27:20] [982bbabc2f45dfe079ddd2285f83d85e]
- RMPD    [Histogram] [] [2014-09-24 11:53:04] [d4b037465b17855a5e62fa4428b30753] [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	'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236114&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236114&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236114&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	'George Udny Yule' @ yule.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[1.19,1.2[	1.195	1	0.013889	0.013889	1.388889
[1.2,1.21[	1.205	0	0	0.013889	0
[1.21,1.22[	1.215	0	0	0.013889	0
[1.22,1.23[	1.225	0	0	0.013889	0
[1.23,1.24[	1.235	1	0.013889	0.027778	1.388889
[1.24,1.25[	1.245	0	0	0.027778	0
[1.25,1.26[	1.255	0	0	0.027778	0
[1.26,1.27[	1.265	1	0.013889	0.041667	1.388889
[1.27,1.28[	1.275	1	0.013889	0.055556	1.388889
[1.28,1.29[	1.285	1	0.013889	0.069444	1.388889
[1.29,1.3[	1.295	0	0	0.069444	0
[1.3,1.31[	1.305	0	0	0.069444	0
[1.31,1.32[	1.315	1	0.013889	0.083333	1.388889
[1.32,1.33[	1.325	0	0	0.083333	0
[1.33,1.34[	1.335	0	0	0.083333	0
[1.34,1.35[	1.345	0	0	0.083333	0
[1.35,1.36[	1.355	0	0	0.083333	0
[1.36,1.37[	1.365	1	0.013889	0.097222	1.388889
[1.37,1.38[	1.375	2	0.027778	0.125	2.777778
[1.38,1.39[	1.385	1	0.013889	0.138889	1.388889
[1.39,1.4[	1.395	1	0.013889	0.152778	1.388889
[1.4,1.41[	1.405	2	0.027778	0.180556	2.777778
[1.41,1.42[	1.415	1	0.013889	0.194444	1.388889
[1.42,1.43[	1.425	1	0.013889	0.208333	1.388889
[1.43,1.44[	1.435	0	0	0.208333	0
[1.44,1.45[	1.445	1	0.013889	0.222222	1.388889
[1.45,1.46[	1.455	1	0.013889	0.236111	1.388889
[1.46,1.47[	1.465	1	0.013889	0.25	1.388889
[1.47,1.48[	1.475	2	0.027778	0.277778	2.777778
[1.48,1.49[	1.485	0	0	0.277778	0
[1.49,1.5[	1.495	4	0.055556	0.333333	5.555556
[1.5,1.51[	1.505	2	0.027778	0.361111	2.777778
[1.51,1.52[	1.515	1	0.013889	0.375	1.388889
[1.52,1.53[	1.525	2	0.027778	0.402778	2.777778
[1.53,1.54[	1.535	1	0.013889	0.416667	1.388889
[1.54,1.55[	1.545	1	0.013889	0.430556	1.388889
[1.55,1.56[	1.555	1	0.013889	0.444444	1.388889
[1.56,1.57[	1.565	1	0.013889	0.458333	1.388889
[1.57,1.58[	1.575	1	0.013889	0.472222	1.388889
[1.58,1.59[	1.585	0	0	0.472222	0
[1.59,1.6[	1.595	2	0.027778	0.5	2.777778
[1.6,1.61[	1.605	0	0	0.5	0
[1.61,1.62[	1.615	2	0.027778	0.527778	2.777778
[1.62,1.63[	1.625	2	0.027778	0.555556	2.777778
[1.63,1.64[	1.635	3	0.041667	0.597222	4.166667
[1.64,1.65[	1.645	1	0.013889	0.611111	1.388889
[1.65,1.66[	1.655	1	0.013889	0.625	1.388889
[1.66,1.67[	1.665	0	0	0.625	0
[1.67,1.68[	1.675	2	0.027778	0.652778	2.777778
[1.68,1.69[	1.685	4	0.055556	0.708333	5.555556
[1.69,1.7[	1.695	0	0	0.708333	0
[1.7,1.71[	1.705	1	0.013889	0.722222	1.388889
[1.71,1.72[	1.715	1	0.013889	0.736111	1.388889
[1.72,1.73[	1.725	2	0.027778	0.763889	2.777778
[1.73,1.74[	1.735	3	0.041667	0.805556	4.166667
[1.74,1.75[	1.745	2	0.027778	0.833333	2.777778
[1.75,1.76[	1.755	3	0.041667	0.875	4.166667
[1.76,1.77[	1.765	3	0.041667	0.916667	4.166667
[1.77,1.78[	1.775	1	0.013889	0.930556	1.388889
[1.78,1.79[	1.785	2	0.027778	0.958333	2.777778
[1.79,1.8[	1.795	0	0	0.958333	0
[1.8,1.81[	1.805	1	0.013889	0.972222	1.388889
[1.81,1.82]	1.815	2	0.027778	1	2.777778

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.19,1.2[ & 1.195 & 1 & 0.013889 & 0.013889 & 1.388889 \tabularnewline
[1.2,1.21[ & 1.205 & 0 & 0 & 0.013889 & 0 \tabularnewline
[1.21,1.22[ & 1.215 & 0 & 0 & 0.013889 & 0 \tabularnewline
[1.22,1.23[ & 1.225 & 0 & 0 & 0.013889 & 0 \tabularnewline
[1.23,1.24[ & 1.235 & 1 & 0.013889 & 0.027778 & 1.388889 \tabularnewline
[1.24,1.25[ & 1.245 & 0 & 0 & 0.027778 & 0 \tabularnewline
[1.25,1.26[ & 1.255 & 0 & 0 & 0.027778 & 0 \tabularnewline
[1.26,1.27[ & 1.265 & 1 & 0.013889 & 0.041667 & 1.388889 \tabularnewline
[1.27,1.28[ & 1.275 & 1 & 0.013889 & 0.055556 & 1.388889 \tabularnewline
[1.28,1.29[ & 1.285 & 1 & 0.013889 & 0.069444 & 1.388889 \tabularnewline
[1.29,1.3[ & 1.295 & 0 & 0 & 0.069444 & 0 \tabularnewline
[1.3,1.31[ & 1.305 & 0 & 0 & 0.069444 & 0 \tabularnewline
[1.31,1.32[ & 1.315 & 1 & 0.013889 & 0.083333 & 1.388889 \tabularnewline
[1.32,1.33[ & 1.325 & 0 & 0 & 0.083333 & 0 \tabularnewline
[1.33,1.34[ & 1.335 & 0 & 0 & 0.083333 & 0 \tabularnewline
[1.34,1.35[ & 1.345 & 0 & 0 & 0.083333 & 0 \tabularnewline
[1.35,1.36[ & 1.355 & 0 & 0 & 0.083333 & 0 \tabularnewline
[1.36,1.37[ & 1.365 & 1 & 0.013889 & 0.097222 & 1.388889 \tabularnewline
[1.37,1.38[ & 1.375 & 2 & 0.027778 & 0.125 & 2.777778 \tabularnewline
[1.38,1.39[ & 1.385 & 1 & 0.013889 & 0.138889 & 1.388889 \tabularnewline
[1.39,1.4[ & 1.395 & 1 & 0.013889 & 0.152778 & 1.388889 \tabularnewline
[1.4,1.41[ & 1.405 & 2 & 0.027778 & 0.180556 & 2.777778 \tabularnewline
[1.41,1.42[ & 1.415 & 1 & 0.013889 & 0.194444 & 1.388889 \tabularnewline
[1.42,1.43[ & 1.425 & 1 & 0.013889 & 0.208333 & 1.388889 \tabularnewline
[1.43,1.44[ & 1.435 & 0 & 0 & 0.208333 & 0 \tabularnewline
[1.44,1.45[ & 1.445 & 1 & 0.013889 & 0.222222 & 1.388889 \tabularnewline
[1.45,1.46[ & 1.455 & 1 & 0.013889 & 0.236111 & 1.388889 \tabularnewline
[1.46,1.47[ & 1.465 & 1 & 0.013889 & 0.25 & 1.388889 \tabularnewline
[1.47,1.48[ & 1.475 & 2 & 0.027778 & 0.277778 & 2.777778 \tabularnewline
[1.48,1.49[ & 1.485 & 0 & 0 & 0.277778 & 0 \tabularnewline
[1.49,1.5[ & 1.495 & 4 & 0.055556 & 0.333333 & 5.555556 \tabularnewline
[1.5,1.51[ & 1.505 & 2 & 0.027778 & 0.361111 & 2.777778 \tabularnewline
[1.51,1.52[ & 1.515 & 1 & 0.013889 & 0.375 & 1.388889 \tabularnewline
[1.52,1.53[ & 1.525 & 2 & 0.027778 & 0.402778 & 2.777778 \tabularnewline
[1.53,1.54[ & 1.535 & 1 & 0.013889 & 0.416667 & 1.388889 \tabularnewline
[1.54,1.55[ & 1.545 & 1 & 0.013889 & 0.430556 & 1.388889 \tabularnewline
[1.55,1.56[ & 1.555 & 1 & 0.013889 & 0.444444 & 1.388889 \tabularnewline
[1.56,1.57[ & 1.565 & 1 & 0.013889 & 0.458333 & 1.388889 \tabularnewline
[1.57,1.58[ & 1.575 & 1 & 0.013889 & 0.472222 & 1.388889 \tabularnewline
[1.58,1.59[ & 1.585 & 0 & 0 & 0.472222 & 0 \tabularnewline
[1.59,1.6[ & 1.595 & 2 & 0.027778 & 0.5 & 2.777778 \tabularnewline
[1.6,1.61[ & 1.605 & 0 & 0 & 0.5 & 0 \tabularnewline
[1.61,1.62[ & 1.615 & 2 & 0.027778 & 0.527778 & 2.777778 \tabularnewline
[1.62,1.63[ & 1.625 & 2 & 0.027778 & 0.555556 & 2.777778 \tabularnewline
[1.63,1.64[ & 1.635 & 3 & 0.041667 & 0.597222 & 4.166667 \tabularnewline
[1.64,1.65[ & 1.645 & 1 & 0.013889 & 0.611111 & 1.388889 \tabularnewline
[1.65,1.66[ & 1.655 & 1 & 0.013889 & 0.625 & 1.388889 \tabularnewline
[1.66,1.67[ & 1.665 & 0 & 0 & 0.625 & 0 \tabularnewline
[1.67,1.68[ & 1.675 & 2 & 0.027778 & 0.652778 & 2.777778 \tabularnewline
[1.68,1.69[ & 1.685 & 4 & 0.055556 & 0.708333 & 5.555556 \tabularnewline
[1.69,1.7[ & 1.695 & 0 & 0 & 0.708333 & 0 \tabularnewline
[1.7,1.71[ & 1.705 & 1 & 0.013889 & 0.722222 & 1.388889 \tabularnewline
[1.71,1.72[ & 1.715 & 1 & 0.013889 & 0.736111 & 1.388889 \tabularnewline
[1.72,1.73[ & 1.725 & 2 & 0.027778 & 0.763889 & 2.777778 \tabularnewline
[1.73,1.74[ & 1.735 & 3 & 0.041667 & 0.805556 & 4.166667 \tabularnewline
[1.74,1.75[ & 1.745 & 2 & 0.027778 & 0.833333 & 2.777778 \tabularnewline
[1.75,1.76[ & 1.755 & 3 & 0.041667 & 0.875 & 4.166667 \tabularnewline
[1.76,1.77[ & 1.765 & 3 & 0.041667 & 0.916667 & 4.166667 \tabularnewline
[1.77,1.78[ & 1.775 & 1 & 0.013889 & 0.930556 & 1.388889 \tabularnewline
[1.78,1.79[ & 1.785 & 2 & 0.027778 & 0.958333 & 2.777778 \tabularnewline
[1.79,1.8[ & 1.795 & 0 & 0 & 0.958333 & 0 \tabularnewline
[1.8,1.81[ & 1.805 & 1 & 0.013889 & 0.972222 & 1.388889 \tabularnewline
[1.81,1.82] & 1.815 & 2 & 0.027778 & 1 & 2.777778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236114&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][1.19,1.2[[/C][C]1.195[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]1.388889[/C][/ROW]
[ROW][C][1.2,1.21[[/C][C]1.205[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][1.21,1.22[[/C][C]1.215[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][1.22,1.23[[/C][C]1.225[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][1.23,1.24[[/C][C]1.235[/C][C]1[/C][C]0.013889[/C][C]0.027778[/C][C]1.388889[/C][/ROW]
[ROW][C][1.24,1.25[[/C][C]1.245[/C][C]0[/C][C]0[/C][C]0.027778[/C][C]0[/C][/ROW]
[ROW][C][1.25,1.26[[/C][C]1.255[/C][C]0[/C][C]0[/C][C]0.027778[/C][C]0[/C][/ROW]
[ROW][C][1.26,1.27[[/C][C]1.265[/C][C]1[/C][C]0.013889[/C][C]0.041667[/C][C]1.388889[/C][/ROW]
[ROW][C][1.27,1.28[[/C][C]1.275[/C][C]1[/C][C]0.013889[/C][C]0.055556[/C][C]1.388889[/C][/ROW]
[ROW][C][1.28,1.29[[/C][C]1.285[/C][C]1[/C][C]0.013889[/C][C]0.069444[/C][C]1.388889[/C][/ROW]
[ROW][C][1.29,1.3[[/C][C]1.295[/C][C]0[/C][C]0[/C][C]0.069444[/C][C]0[/C][/ROW]
[ROW][C][1.3,1.31[[/C][C]1.305[/C][C]0[/C][C]0[/C][C]0.069444[/C][C]0[/C][/ROW]
[ROW][C][1.31,1.32[[/C][C]1.315[/C][C]1[/C][C]0.013889[/C][C]0.083333[/C][C]1.388889[/C][/ROW]
[ROW][C][1.32,1.33[[/C][C]1.325[/C][C]0[/C][C]0[/C][C]0.083333[/C][C]0[/C][/ROW]
[ROW][C][1.33,1.34[[/C][C]1.335[/C][C]0[/C][C]0[/C][C]0.083333[/C][C]0[/C][/ROW]
[ROW][C][1.34,1.35[[/C][C]1.345[/C][C]0[/C][C]0[/C][C]0.083333[/C][C]0[/C][/ROW]
[ROW][C][1.35,1.36[[/C][C]1.355[/C][C]0[/C][C]0[/C][C]0.083333[/C][C]0[/C][/ROW]
[ROW][C][1.36,1.37[[/C][C]1.365[/C][C]1[/C][C]0.013889[/C][C]0.097222[/C][C]1.388889[/C][/ROW]
[ROW][C][1.37,1.38[[/C][C]1.375[/C][C]2[/C][C]0.027778[/C][C]0.125[/C][C]2.777778[/C][/ROW]
[ROW][C][1.38,1.39[[/C][C]1.385[/C][C]1[/C][C]0.013889[/C][C]0.138889[/C][C]1.388889[/C][/ROW]
[ROW][C][1.39,1.4[[/C][C]1.395[/C][C]1[/C][C]0.013889[/C][C]0.152778[/C][C]1.388889[/C][/ROW]
[ROW][C][1.4,1.41[[/C][C]1.405[/C][C]2[/C][C]0.027778[/C][C]0.180556[/C][C]2.777778[/C][/ROW]
[ROW][C][1.41,1.42[[/C][C]1.415[/C][C]1[/C][C]0.013889[/C][C]0.194444[/C][C]1.388889[/C][/ROW]
[ROW][C][1.42,1.43[[/C][C]1.425[/C][C]1[/C][C]0.013889[/C][C]0.208333[/C][C]1.388889[/C][/ROW]
[ROW][C][1.43,1.44[[/C][C]1.435[/C][C]0[/C][C]0[/C][C]0.208333[/C][C]0[/C][/ROW]
[ROW][C][1.44,1.45[[/C][C]1.445[/C][C]1[/C][C]0.013889[/C][C]0.222222[/C][C]1.388889[/C][/ROW]
[ROW][C][1.45,1.46[[/C][C]1.455[/C][C]1[/C][C]0.013889[/C][C]0.236111[/C][C]1.388889[/C][/ROW]
[ROW][C][1.46,1.47[[/C][C]1.465[/C][C]1[/C][C]0.013889[/C][C]0.25[/C][C]1.388889[/C][/ROW]
[ROW][C][1.47,1.48[[/C][C]1.475[/C][C]2[/C][C]0.027778[/C][C]0.277778[/C][C]2.777778[/C][/ROW]
[ROW][C][1.48,1.49[[/C][C]1.485[/C][C]0[/C][C]0[/C][C]0.277778[/C][C]0[/C][/ROW]
[ROW][C][1.49,1.5[[/C][C]1.495[/C][C]4[/C][C]0.055556[/C][C]0.333333[/C][C]5.555556[/C][/ROW]
[ROW][C][1.5,1.51[[/C][C]1.505[/C][C]2[/C][C]0.027778[/C][C]0.361111[/C][C]2.777778[/C][/ROW]
[ROW][C][1.51,1.52[[/C][C]1.515[/C][C]1[/C][C]0.013889[/C][C]0.375[/C][C]1.388889[/C][/ROW]
[ROW][C][1.52,1.53[[/C][C]1.525[/C][C]2[/C][C]0.027778[/C][C]0.402778[/C][C]2.777778[/C][/ROW]
[ROW][C][1.53,1.54[[/C][C]1.535[/C][C]1[/C][C]0.013889[/C][C]0.416667[/C][C]1.388889[/C][/ROW]
[ROW][C][1.54,1.55[[/C][C]1.545[/C][C]1[/C][C]0.013889[/C][C]0.430556[/C][C]1.388889[/C][/ROW]
[ROW][C][1.55,1.56[[/C][C]1.555[/C][C]1[/C][C]0.013889[/C][C]0.444444[/C][C]1.388889[/C][/ROW]
[ROW][C][1.56,1.57[[/C][C]1.565[/C][C]1[/C][C]0.013889[/C][C]0.458333[/C][C]1.388889[/C][/ROW]
[ROW][C][1.57,1.58[[/C][C]1.575[/C][C]1[/C][C]0.013889[/C][C]0.472222[/C][C]1.388889[/C][/ROW]
[ROW][C][1.58,1.59[[/C][C]1.585[/C][C]0[/C][C]0[/C][C]0.472222[/C][C]0[/C][/ROW]
[ROW][C][1.59,1.6[[/C][C]1.595[/C][C]2[/C][C]0.027778[/C][C]0.5[/C][C]2.777778[/C][/ROW]
[ROW][C][1.6,1.61[[/C][C]1.605[/C][C]0[/C][C]0[/C][C]0.5[/C][C]0[/C][/ROW]
[ROW][C][1.61,1.62[[/C][C]1.615[/C][C]2[/C][C]0.027778[/C][C]0.527778[/C][C]2.777778[/C][/ROW]
[ROW][C][1.62,1.63[[/C][C]1.625[/C][C]2[/C][C]0.027778[/C][C]0.555556[/C][C]2.777778[/C][/ROW]
[ROW][C][1.63,1.64[[/C][C]1.635[/C][C]3[/C][C]0.041667[/C][C]0.597222[/C][C]4.166667[/C][/ROW]
[ROW][C][1.64,1.65[[/C][C]1.645[/C][C]1[/C][C]0.013889[/C][C]0.611111[/C][C]1.388889[/C][/ROW]
[ROW][C][1.65,1.66[[/C][C]1.655[/C][C]1[/C][C]0.013889[/C][C]0.625[/C][C]1.388889[/C][/ROW]
[ROW][C][1.66,1.67[[/C][C]1.665[/C][C]0[/C][C]0[/C][C]0.625[/C][C]0[/C][/ROW]
[ROW][C][1.67,1.68[[/C][C]1.675[/C][C]2[/C][C]0.027778[/C][C]0.652778[/C][C]2.777778[/C][/ROW]
[ROW][C][1.68,1.69[[/C][C]1.685[/C][C]4[/C][C]0.055556[/C][C]0.708333[/C][C]5.555556[/C][/ROW]
[ROW][C][1.69,1.7[[/C][C]1.695[/C][C]0[/C][C]0[/C][C]0.708333[/C][C]0[/C][/ROW]
[ROW][C][1.7,1.71[[/C][C]1.705[/C][C]1[/C][C]0.013889[/C][C]0.722222[/C][C]1.388889[/C][/ROW]
[ROW][C][1.71,1.72[[/C][C]1.715[/C][C]1[/C][C]0.013889[/C][C]0.736111[/C][C]1.388889[/C][/ROW]
[ROW][C][1.72,1.73[[/C][C]1.725[/C][C]2[/C][C]0.027778[/C][C]0.763889[/C][C]2.777778[/C][/ROW]
[ROW][C][1.73,1.74[[/C][C]1.735[/C][C]3[/C][C]0.041667[/C][C]0.805556[/C][C]4.166667[/C][/ROW]
[ROW][C][1.74,1.75[[/C][C]1.745[/C][C]2[/C][C]0.027778[/C][C]0.833333[/C][C]2.777778[/C][/ROW]
[ROW][C][1.75,1.76[[/C][C]1.755[/C][C]3[/C][C]0.041667[/C][C]0.875[/C][C]4.166667[/C][/ROW]
[ROW][C][1.76,1.77[[/C][C]1.765[/C][C]3[/C][C]0.041667[/C][C]0.916667[/C][C]4.166667[/C][/ROW]
[ROW][C][1.77,1.78[[/C][C]1.775[/C][C]1[/C][C]0.013889[/C][C]0.930556[/C][C]1.388889[/C][/ROW]
[ROW][C][1.78,1.79[[/C][C]1.785[/C][C]2[/C][C]0.027778[/C][C]0.958333[/C][C]2.777778[/C][/ROW]
[ROW][C][1.79,1.8[[/C][C]1.795[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][1.8,1.81[[/C][C]1.805[/C][C]1[/C][C]0.013889[/C][C]0.972222[/C][C]1.388889[/C][/ROW]
[ROW][C][1.81,1.82][/C][C]1.815[/C][C]2[/C][C]0.027778[/C][C]1[/C][C]2.777778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236114&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236114&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
[1.19,1.2[	1.195	1	0.013889	0.013889	1.388889
[1.2,1.21[	1.205	0	0	0.013889	0
[1.21,1.22[	1.215	0	0	0.013889	0
[1.22,1.23[	1.225	0	0	0.013889	0
[1.23,1.24[	1.235	1	0.013889	0.027778	1.388889
[1.24,1.25[	1.245	0	0	0.027778	0
[1.25,1.26[	1.255	0	0	0.027778	0
[1.26,1.27[	1.265	1	0.013889	0.041667	1.388889
[1.27,1.28[	1.275	1	0.013889	0.055556	1.388889
[1.28,1.29[	1.285	1	0.013889	0.069444	1.388889
[1.29,1.3[	1.295	0	0	0.069444	0
[1.3,1.31[	1.305	0	0	0.069444	0
[1.31,1.32[	1.315	1	0.013889	0.083333	1.388889
[1.32,1.33[	1.325	0	0	0.083333	0
[1.33,1.34[	1.335	0	0	0.083333	0
[1.34,1.35[	1.345	0	0	0.083333	0
[1.35,1.36[	1.355	0	0	0.083333	0
[1.36,1.37[	1.365	1	0.013889	0.097222	1.388889
[1.37,1.38[	1.375	2	0.027778	0.125	2.777778
[1.38,1.39[	1.385	1	0.013889	0.138889	1.388889
[1.39,1.4[	1.395	1	0.013889	0.152778	1.388889
[1.4,1.41[	1.405	2	0.027778	0.180556	2.777778
[1.41,1.42[	1.415	1	0.013889	0.194444	1.388889
[1.42,1.43[	1.425	1	0.013889	0.208333	1.388889
[1.43,1.44[	1.435	0	0	0.208333	0
[1.44,1.45[	1.445	1	0.013889	0.222222	1.388889
[1.45,1.46[	1.455	1	0.013889	0.236111	1.388889
[1.46,1.47[	1.465	1	0.013889	0.25	1.388889
[1.47,1.48[	1.475	2	0.027778	0.277778	2.777778
[1.48,1.49[	1.485	0	0	0.277778	0
[1.49,1.5[	1.495	4	0.055556	0.333333	5.555556
[1.5,1.51[	1.505	2	0.027778	0.361111	2.777778
[1.51,1.52[	1.515	1	0.013889	0.375	1.388889
[1.52,1.53[	1.525	2	0.027778	0.402778	2.777778
[1.53,1.54[	1.535	1	0.013889	0.416667	1.388889
[1.54,1.55[	1.545	1	0.013889	0.430556	1.388889
[1.55,1.56[	1.555	1	0.013889	0.444444	1.388889
[1.56,1.57[	1.565	1	0.013889	0.458333	1.388889
[1.57,1.58[	1.575	1	0.013889	0.472222	1.388889
[1.58,1.59[	1.585	0	0	0.472222	0
[1.59,1.6[	1.595	2	0.027778	0.5	2.777778
[1.6,1.61[	1.605	0	0	0.5	0
[1.61,1.62[	1.615	2	0.027778	0.527778	2.777778
[1.62,1.63[	1.625	2	0.027778	0.555556	2.777778
[1.63,1.64[	1.635	3	0.041667	0.597222	4.166667
[1.64,1.65[	1.645	1	0.013889	0.611111	1.388889
[1.65,1.66[	1.655	1	0.013889	0.625	1.388889
[1.66,1.67[	1.665	0	0	0.625	0
[1.67,1.68[	1.675	2	0.027778	0.652778	2.777778
[1.68,1.69[	1.685	4	0.055556	0.708333	5.555556
[1.69,1.7[	1.695	0	0	0.708333	0
[1.7,1.71[	1.705	1	0.013889	0.722222	1.388889
[1.71,1.72[	1.715	1	0.013889	0.736111	1.388889
[1.72,1.73[	1.725	2	0.027778	0.763889	2.777778
[1.73,1.74[	1.735	3	0.041667	0.805556	4.166667
[1.74,1.75[	1.745	2	0.027778	0.833333	2.777778
[1.75,1.76[	1.755	3	0.041667	0.875	4.166667
[1.76,1.77[	1.765	3	0.041667	0.916667	4.166667
[1.77,1.78[	1.775	1	0.013889	0.930556	1.388889
[1.78,1.79[	1.785	2	0.027778	0.958333	2.777778
[1.79,1.8[	1.795	0	0	0.958333	0
[1.8,1.81[	1.805	1	0.013889	0.972222	1.388889
[1.81,1.82]	1.815	2	0.027778	1	2.777778

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 50 ; par2 = blue ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 50 ; par2 = blue ; par3 = FALSE ; par4 = Unknown ;

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

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'blue'
par1 <- '20'
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