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Author's title

Author

*The author of this computation has been verified*

R Software Module

Patrick.Wessarwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Tue, 14 Dec 2010 11:50:14 +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/2010/Dec/14/t1292327321lqlyzcm612n5l90.htm/, Retrieved Thu, 02 May 2024 23:41:49 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109449, Retrieved Thu, 02 May 2024 23:41:49 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

117

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

-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
-   PD  [Kendall tau Correlation Matrix] [] [2010-12-13 09:45:33] [dd4fe494cff2ee46c12b15bdc7b848ca]
-    D    [Kendall tau Correlation Matrix] [] [2010-12-13 16:29:23] [dd4fe494cff2ee46c12b15bdc7b848ca]
- RMPD        [Histogram] [] [2010-12-14 11:50:14] [6c31f786e793d35ef3a03978bc5de774] [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	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109449&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109449&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109449&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	'Gwilym Jenkins' @ 72.249.127.135

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[10,20[	15	5	0.119048	0.119048	0.011905
[20,30[	25	4	0.095238	0.214286	0.009524
[30,40[	35	3	0.071429	0.285714	0.007143
[40,50[	45	4	0.095238	0.380952	0.009524
[50,60[	55	2	0.047619	0.428571	0.004762
[60,70[	65	3	0.071429	0.5	0.007143
[70,80[	75	0	0	0.5	0
[80,90[	85	0	0	0.5	0
[90,100[	95	0	0	0.5	0
[100,110[	105	0	0	0.5	0
[110,120[	115	2	0.047619	0.547619	0.004762
[120,130[	125	2	0.047619	0.595238	0.004762
[130,140[	135	0	0	0.595238	0
[140,150[	145	2	0.047619	0.642857	0.004762
[150,160[	155	1	0.02381	0.666667	0.002381
[160,170[	165	1	0.02381	0.690476	0.002381
[170,180[	175	1	0.02381	0.714286	0.002381
[180,190[	185	1	0.02381	0.738095	0.002381
[190,200[	195	0	0	0.738095	0
[200,210[	205	1	0.02381	0.761905	0.002381
[210,220[	215	1	0.02381	0.785714	0.002381
[220,230[	225	2	0.047619	0.833333	0.004762
[230,240[	235	1	0.02381	0.857143	0.002381
[240,250[	245	0	0	0.857143	0
[250,260[	255	0	0	0.857143	0
[260,270[	265	1	0.02381	0.880952	0.002381
[270,280[	275	0	0	0.880952	0
[280,290[	285	1	0.02381	0.904762	0.002381
[290,300[	295	0	0	0.904762	0
[300,310[	305	0	0	0.904762	0
[310,320[	315	1	0.02381	0.928571	0.002381
[320,330[	325	0	0	0.928571	0
[330,340[	335	1	0.02381	0.952381	0.002381
[340,350[	345	0	0	0.952381	0
[350,360[	355	0	0	0.952381	0
[360,370[	365	0	0	0.952381	0
[370,380[	375	0	0	0.952381	0
[380,390[	385	0	0	0.952381	0
[390,400[	395	1	0.02381	0.97619	0.002381
[400,410[	405	0	0	0.97619	0
[410,420[	415	0	0	0.97619	0
[420,430[	425	0	0	0.97619	0
[430,440[	435	0	0	0.97619	0
[440,450[	445	0	0	0.97619	0
[450,460[	455	0	0	0.97619	0
[460,470[	465	0	0	0.97619	0
[470,480[	475	0	0	0.97619	0
[480,490[	485	0	0	0.97619	0
[490,500[	495	0	0	0.97619	0
[500,510[	505	0	0	0.97619	0
[510,520[	515	0	0	0.97619	0
[520,530[	525	0	0	0.97619	0
[530,540[	535	0	0	0.97619	0
[540,550[	545	0	0	0.97619	0
[550,560[	555	0	0	0.97619	0
[560,570[	565	0	0	0.97619	0
[570,580[	575	0	0	0.97619	0
[580,590[	585	0	0	0.97619	0
[590,600[	595	0	0	0.97619	0
[600,610[	605	0	0	0.97619	0
[610,620[	615	0	0	0.97619	0
[620,630]	625	1	0.02381	1	0.002381

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10,20[ & 15 & 5 & 0.119048 & 0.119048 & 0.011905 \tabularnewline
[20,30[ & 25 & 4 & 0.095238 & 0.214286 & 0.009524 \tabularnewline
[30,40[ & 35 & 3 & 0.071429 & 0.285714 & 0.007143 \tabularnewline
[40,50[ & 45 & 4 & 0.095238 & 0.380952 & 0.009524 \tabularnewline
[50,60[ & 55 & 2 & 0.047619 & 0.428571 & 0.004762 \tabularnewline
[60,70[ & 65 & 3 & 0.071429 & 0.5 & 0.007143 \tabularnewline
[70,80[ & 75 & 0 & 0 & 0.5 & 0 \tabularnewline
[80,90[ & 85 & 0 & 0 & 0.5 & 0 \tabularnewline
[90,100[ & 95 & 0 & 0 & 0.5 & 0 \tabularnewline
[100,110[ & 105 & 0 & 0 & 0.5 & 0 \tabularnewline
[110,120[ & 115 & 2 & 0.047619 & 0.547619 & 0.004762 \tabularnewline
[120,130[ & 125 & 2 & 0.047619 & 0.595238 & 0.004762 \tabularnewline
[130,140[ & 135 & 0 & 0 & 0.595238 & 0 \tabularnewline
[140,150[ & 145 & 2 & 0.047619 & 0.642857 & 0.004762 \tabularnewline
[150,160[ & 155 & 1 & 0.02381 & 0.666667 & 0.002381 \tabularnewline
[160,170[ & 165 & 1 & 0.02381 & 0.690476 & 0.002381 \tabularnewline
[170,180[ & 175 & 1 & 0.02381 & 0.714286 & 0.002381 \tabularnewline
[180,190[ & 185 & 1 & 0.02381 & 0.738095 & 0.002381 \tabularnewline
[190,200[ & 195 & 0 & 0 & 0.738095 & 0 \tabularnewline
[200,210[ & 205 & 1 & 0.02381 & 0.761905 & 0.002381 \tabularnewline
[210,220[ & 215 & 1 & 0.02381 & 0.785714 & 0.002381 \tabularnewline
[220,230[ & 225 & 2 & 0.047619 & 0.833333 & 0.004762 \tabularnewline
[230,240[ & 235 & 1 & 0.02381 & 0.857143 & 0.002381 \tabularnewline
[240,250[ & 245 & 0 & 0 & 0.857143 & 0 \tabularnewline
[250,260[ & 255 & 0 & 0 & 0.857143 & 0 \tabularnewline
[260,270[ & 265 & 1 & 0.02381 & 0.880952 & 0.002381 \tabularnewline
[270,280[ & 275 & 0 & 0 & 0.880952 & 0 \tabularnewline
[280,290[ & 285 & 1 & 0.02381 & 0.904762 & 0.002381 \tabularnewline
[290,300[ & 295 & 0 & 0 & 0.904762 & 0 \tabularnewline
[300,310[ & 305 & 0 & 0 & 0.904762 & 0 \tabularnewline
[310,320[ & 315 & 1 & 0.02381 & 0.928571 & 0.002381 \tabularnewline
[320,330[ & 325 & 0 & 0 & 0.928571 & 0 \tabularnewline
[330,340[ & 335 & 1 & 0.02381 & 0.952381 & 0.002381 \tabularnewline
[340,350[ & 345 & 0 & 0 & 0.952381 & 0 \tabularnewline
[350,360[ & 355 & 0 & 0 & 0.952381 & 0 \tabularnewline
[360,370[ & 365 & 0 & 0 & 0.952381 & 0 \tabularnewline
[370,380[ & 375 & 0 & 0 & 0.952381 & 0 \tabularnewline
[380,390[ & 385 & 0 & 0 & 0.952381 & 0 \tabularnewline
[390,400[ & 395 & 1 & 0.02381 & 0.97619 & 0.002381 \tabularnewline
[400,410[ & 405 & 0 & 0 & 0.97619 & 0 \tabularnewline
[410,420[ & 415 & 0 & 0 & 0.97619 & 0 \tabularnewline
[420,430[ & 425 & 0 & 0 & 0.97619 & 0 \tabularnewline
[430,440[ & 435 & 0 & 0 & 0.97619 & 0 \tabularnewline
[440,450[ & 445 & 0 & 0 & 0.97619 & 0 \tabularnewline
[450,460[ & 455 & 0 & 0 & 0.97619 & 0 \tabularnewline
[460,470[ & 465 & 0 & 0 & 0.97619 & 0 \tabularnewline
[470,480[ & 475 & 0 & 0 & 0.97619 & 0 \tabularnewline
[480,490[ & 485 & 0 & 0 & 0.97619 & 0 \tabularnewline
[490,500[ & 495 & 0 & 0 & 0.97619 & 0 \tabularnewline
[500,510[ & 505 & 0 & 0 & 0.97619 & 0 \tabularnewline
[510,520[ & 515 & 0 & 0 & 0.97619 & 0 \tabularnewline
[520,530[ & 525 & 0 & 0 & 0.97619 & 0 \tabularnewline
[530,540[ & 535 & 0 & 0 & 0.97619 & 0 \tabularnewline
[540,550[ & 545 & 0 & 0 & 0.97619 & 0 \tabularnewline
[550,560[ & 555 & 0 & 0 & 0.97619 & 0 \tabularnewline
[560,570[ & 565 & 0 & 0 & 0.97619 & 0 \tabularnewline
[570,580[ & 575 & 0 & 0 & 0.97619 & 0 \tabularnewline
[580,590[ & 585 & 0 & 0 & 0.97619 & 0 \tabularnewline
[590,600[ & 595 & 0 & 0 & 0.97619 & 0 \tabularnewline
[600,610[ & 605 & 0 & 0 & 0.97619 & 0 \tabularnewline
[610,620[ & 615 & 0 & 0 & 0.97619 & 0 \tabularnewline
[620,630] & 625 & 1 & 0.02381 & 1 & 0.002381 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109449&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][10,20[[/C][C]15[/C][C]5[/C][C]0.119048[/C][C]0.119048[/C][C]0.011905[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]4[/C][C]0.095238[/C][C]0.214286[/C][C]0.009524[/C][/ROW]
[ROW][C][30,40[[/C][C]35[/C][C]3[/C][C]0.071429[/C][C]0.285714[/C][C]0.007143[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]4[/C][C]0.095238[/C][C]0.380952[/C][C]0.009524[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]2[/C][C]0.047619[/C][C]0.428571[/C][C]0.004762[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]3[/C][C]0.071429[/C][C]0.5[/C][C]0.007143[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]0[/C][C]0[/C][C]0.5[/C][C]0[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]0[/C][C]0[/C][C]0.5[/C][C]0[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]0[/C][C]0[/C][C]0.5[/C][C]0[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]0[/C][C]0[/C][C]0.5[/C][C]0[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]2[/C][C]0.047619[/C][C]0.547619[/C][C]0.004762[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]2[/C][C]0.047619[/C][C]0.595238[/C][C]0.004762[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]0[/C][C]0[/C][C]0.595238[/C][C]0[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]2[/C][C]0.047619[/C][C]0.642857[/C][C]0.004762[/C][/ROW]
[ROW][C][150,160[[/C][C]155[/C][C]1[/C][C]0.02381[/C][C]0.666667[/C][C]0.002381[/C][/ROW]
[ROW][C][160,170[[/C][C]165[/C][C]1[/C][C]0.02381[/C][C]0.690476[/C][C]0.002381[/C][/ROW]
[ROW][C][170,180[[/C][C]175[/C][C]1[/C][C]0.02381[/C][C]0.714286[/C][C]0.002381[/C][/ROW]
[ROW][C][180,190[[/C][C]185[/C][C]1[/C][C]0.02381[/C][C]0.738095[/C][C]0.002381[/C][/ROW]
[ROW][C][190,200[[/C][C]195[/C][C]0[/C][C]0[/C][C]0.738095[/C][C]0[/C][/ROW]
[ROW][C][200,210[[/C][C]205[/C][C]1[/C][C]0.02381[/C][C]0.761905[/C][C]0.002381[/C][/ROW]
[ROW][C][210,220[[/C][C]215[/C][C]1[/C][C]0.02381[/C][C]0.785714[/C][C]0.002381[/C][/ROW]
[ROW][C][220,230[[/C][C]225[/C][C]2[/C][C]0.047619[/C][C]0.833333[/C][C]0.004762[/C][/ROW]
[ROW][C][230,240[[/C][C]235[/C][C]1[/C][C]0.02381[/C][C]0.857143[/C][C]0.002381[/C][/ROW]
[ROW][C][240,250[[/C][C]245[/C][C]0[/C][C]0[/C][C]0.857143[/C][C]0[/C][/ROW]
[ROW][C][250,260[[/C][C]255[/C][C]0[/C][C]0[/C][C]0.857143[/C][C]0[/C][/ROW]
[ROW][C][260,270[[/C][C]265[/C][C]1[/C][C]0.02381[/C][C]0.880952[/C][C]0.002381[/C][/ROW]
[ROW][C][270,280[[/C][C]275[/C][C]0[/C][C]0[/C][C]0.880952[/C][C]0[/C][/ROW]
[ROW][C][280,290[[/C][C]285[/C][C]1[/C][C]0.02381[/C][C]0.904762[/C][C]0.002381[/C][/ROW]
[ROW][C][290,300[[/C][C]295[/C][C]0[/C][C]0[/C][C]0.904762[/C][C]0[/C][/ROW]
[ROW][C][300,310[[/C][C]305[/C][C]0[/C][C]0[/C][C]0.904762[/C][C]0[/C][/ROW]
[ROW][C][310,320[[/C][C]315[/C][C]1[/C][C]0.02381[/C][C]0.928571[/C][C]0.002381[/C][/ROW]
[ROW][C][320,330[[/C][C]325[/C][C]0[/C][C]0[/C][C]0.928571[/C][C]0[/C][/ROW]
[ROW][C][330,340[[/C][C]335[/C][C]1[/C][C]0.02381[/C][C]0.952381[/C][C]0.002381[/C][/ROW]
[ROW][C][340,350[[/C][C]345[/C][C]0[/C][C]0[/C][C]0.952381[/C][C]0[/C][/ROW]
[ROW][C][350,360[[/C][C]355[/C][C]0[/C][C]0[/C][C]0.952381[/C][C]0[/C][/ROW]
[ROW][C][360,370[[/C][C]365[/C][C]0[/C][C]0[/C][C]0.952381[/C][C]0[/C][/ROW]
[ROW][C][370,380[[/C][C]375[/C][C]0[/C][C]0[/C][C]0.952381[/C][C]0[/C][/ROW]
[ROW][C][380,390[[/C][C]385[/C][C]0[/C][C]0[/C][C]0.952381[/C][C]0[/C][/ROW]
[ROW][C][390,400[[/C][C]395[/C][C]1[/C][C]0.02381[/C][C]0.97619[/C][C]0.002381[/C][/ROW]
[ROW][C][400,410[[/C][C]405[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][410,420[[/C][C]415[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][420,430[[/C][C]425[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][430,440[[/C][C]435[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][440,450[[/C][C]445[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][450,460[[/C][C]455[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][460,470[[/C][C]465[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][470,480[[/C][C]475[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][480,490[[/C][C]485[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][490,500[[/C][C]495[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][500,510[[/C][C]505[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][510,520[[/C][C]515[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][520,530[[/C][C]525[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][530,540[[/C][C]535[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][540,550[[/C][C]545[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][550,560[[/C][C]555[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][560,570[[/C][C]565[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][570,580[[/C][C]575[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][580,590[[/C][C]585[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][590,600[[/C][C]595[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][600,610[[/C][C]605[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][610,620[[/C][C]615[/C][C]0[/C][C]0[/C][C]0.97619[/C][C]0[/C][/ROW]
[ROW][C][620,630][/C][C]625[/C][C]1[/C][C]0.02381[/C][C]1[/C][C]0.002381[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109449&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109449&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
[10,20[	15	5	0.119048	0.119048	0.011905
[20,30[	25	4	0.095238	0.214286	0.009524
[30,40[	35	3	0.071429	0.285714	0.007143
[40,50[	45	4	0.095238	0.380952	0.009524
[50,60[	55	2	0.047619	0.428571	0.004762
[60,70[	65	3	0.071429	0.5	0.007143
[70,80[	75	0	0	0.5	0
[80,90[	85	0	0	0.5	0
[90,100[	95	0	0	0.5	0
[100,110[	105	0	0	0.5	0
[110,120[	115	2	0.047619	0.547619	0.004762
[120,130[	125	2	0.047619	0.595238	0.004762
[130,140[	135	0	0	0.595238	0
[140,150[	145	2	0.047619	0.642857	0.004762
[150,160[	155	1	0.02381	0.666667	0.002381
[160,170[	165	1	0.02381	0.690476	0.002381
[170,180[	175	1	0.02381	0.714286	0.002381
[180,190[	185	1	0.02381	0.738095	0.002381
[190,200[	195	0	0	0.738095	0
[200,210[	205	1	0.02381	0.761905	0.002381
[210,220[	215	1	0.02381	0.785714	0.002381
[220,230[	225	2	0.047619	0.833333	0.004762
[230,240[	235	1	0.02381	0.857143	0.002381
[240,250[	245	0	0	0.857143	0
[250,260[	255	0	0	0.857143	0
[260,270[	265	1	0.02381	0.880952	0.002381
[270,280[	275	0	0	0.880952	0
[280,290[	285	1	0.02381	0.904762	0.002381
[290,300[	295	0	0	0.904762	0
[300,310[	305	0	0	0.904762	0
[310,320[	315	1	0.02381	0.928571	0.002381
[320,330[	325	0	0	0.928571	0
[330,340[	335	1	0.02381	0.952381	0.002381
[340,350[	345	0	0	0.952381	0
[350,360[	355	0	0	0.952381	0
[360,370[	365	0	0	0.952381	0
[370,380[	375	0	0	0.952381	0
[380,390[	385	0	0	0.952381	0
[390,400[	395	1	0.02381	0.97619	0.002381
[400,410[	405	0	0	0.97619	0
[410,420[	415	0	0	0.97619	0
[420,430[	425	0	0	0.97619	0
[430,440[	435	0	0	0.97619	0
[440,450[	445	0	0	0.97619	0
[450,460[	455	0	0	0.97619	0
[460,470[	465	0	0	0.97619	0
[470,480[	475	0	0	0.97619	0
[480,490[	485	0	0	0.97619	0
[490,500[	495	0	0	0.97619	0
[500,510[	505	0	0	0.97619	0
[510,520[	515	0	0	0.97619	0
[520,530[	525	0	0	0.97619	0
[530,540[	535	0	0	0.97619	0
[540,550[	545	0	0	0.97619	0
[550,560[	555	0	0	0.97619	0
[560,570[	565	0	0	0.97619	0
[570,580[	575	0	0	0.97619	0
[580,590[	585	0	0	0.97619	0
[590,600[	595	0	0	0.97619	0
[600,610[	605	0	0	0.97619	0
[610,620[	615	0	0	0.97619	0
[620,630]	625	1	0.02381	1	0.002381

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