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Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sat, 03 Aug 2013 09:24:28 -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/2013/Aug/03/t1375536291ejp56f0v0sw1xjh.htm/, Retrieved Mon, 29 Apr 2024 08:43:23 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210909, Retrieved Mon, 29 Apr 2024 08:43:23 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

163

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

-       [Histogram] [TIJDREEKS A - STAP 5] [2013-08-03 13:24:28] [a14baeeafb42bd31c8e1f231a0a4996d] [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	'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210909&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210909&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210909&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	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[30000,40000[	35000	1	0.008333	0.008333	1e-06
[40000,50000[	45000	1	0.008333	0.016667	1e-06
[50000,60000[	55000	1	0.008333	0.025	1e-06
[60000,70000[	65000	1	0.008333	0.033333	1e-06
[70000,80000[	75000	2	0.016667	0.05	2e-06
[80000,90000[	85000	0	0	0.05	0
[90000,1e+05[	95000	1	0.008333	0.058333	1e-06
[1e+05,110000[	105000	2	0.016667	0.075	2e-06
[110000,120000[	115000	1	0.008333	0.083333	1e-06
[120000,130000[	125000	3	0.025	0.108333	2e-06
[130000,140000[	135000	4	0.033333	0.141667	3e-06
[140000,150000[	145000	1	0.008333	0.15	1e-06
[150000,160000[	155000	0	0	0.15	0
[160000,170000[	165000	0	0	0.15	0
[170000,180000[	175000	1	0.008333	0.158333	1e-06
[180000,190000[	185000	1	0.008333	0.166667	1e-06
[190000,2e+05[	195000	4	0.033333	0.2	3e-06
[2e+05,210000[	205000	1	0.008333	0.208333	1e-06
[210000,220000[	215000	2	0.016667	0.225	2e-06
[220000,230000[	225000	0	0	0.225	0
[230000,240000[	235000	2	0.016667	0.241667	2e-06
[240000,250000[	245000	1	0.008333	0.25	1e-06
[250000,260000[	255000	0	0	0.25	0
[260000,270000[	265000	2	0.016667	0.266667	2e-06
[270000,280000[	275000	3	0.025	0.291667	2e-06
[280000,290000[	285000	0	0	0.291667	0
[290000,3e+05[	295000	4	0.033333	0.325	3e-06
[3e+05,310000[	305000	0	0	0.325	0
[310000,320000[	315000	1	0.008333	0.333333	1e-06
[320000,330000[	325000	2	0.016667	0.35	2e-06
[330000,340000[	335000	0	0	0.35	0
[340000,350000[	345000	1	0.008333	0.358333	1e-06
[350000,360000[	355000	1	0.008333	0.366667	1e-06
[360000,370000[	365000	3	0.025	0.391667	2e-06
[370000,380000[	375000	4	0.033333	0.425	3e-06
[380000,390000[	385000	0	0	0.425	0
[390000,4e+05[	395000	2	0.016667	0.441667	2e-06
[4e+05,410000[	405000	1	0.008333	0.45	1e-06
[410000,420000[	415000	1	0.008333	0.458333	1e-06
[420000,430000[	425000	0	0	0.458333	0
[430000,440000[	435000	5	0.041667	0.5	4e-06
[440000,450000[	445000	1	0.008333	0.508333	1e-06
[450000,460000[	455000	2	0.016667	0.525	2e-06
[460000,470000[	465000	2	0.016667	0.541667	2e-06
[470000,480000[	475000	1	0.008333	0.55	1e-06
[480000,490000[	485000	2	0.016667	0.566667	2e-06
[490000,5e+05[	495000	5	0.041667	0.608333	4e-06
[5e+05,510000[	505000	5	0.041667	0.65	4e-06
[510000,520000[	515000	5	0.041667	0.691667	4e-06
[520000,530000[	525000	8	0.066667	0.758333	7e-06
[530000,540000[	535000	16	0.133333	0.891667	1.3e-05
[540000,550000[	545000	7	0.058333	0.95	6e-06
[550000,560000[	555000	3	0.025	0.975	2e-06
[560000,570000]	565000	3	0.025	1	2e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[30000,40000[ & 35000 & 1 & 0.008333 & 0.008333 & 1e-06 \tabularnewline
[40000,50000[ & 45000 & 1 & 0.008333 & 0.016667 & 1e-06 \tabularnewline
[50000,60000[ & 55000 & 1 & 0.008333 & 0.025 & 1e-06 \tabularnewline
[60000,70000[ & 65000 & 1 & 0.008333 & 0.033333 & 1e-06 \tabularnewline
[70000,80000[ & 75000 & 2 & 0.016667 & 0.05 & 2e-06 \tabularnewline
[80000,90000[ & 85000 & 0 & 0 & 0.05 & 0 \tabularnewline
[90000,1e+05[ & 95000 & 1 & 0.008333 & 0.058333 & 1e-06 \tabularnewline
[1e+05,110000[ & 105000 & 2 & 0.016667 & 0.075 & 2e-06 \tabularnewline
[110000,120000[ & 115000 & 1 & 0.008333 & 0.083333 & 1e-06 \tabularnewline
[120000,130000[ & 125000 & 3 & 0.025 & 0.108333 & 2e-06 \tabularnewline
[130000,140000[ & 135000 & 4 & 0.033333 & 0.141667 & 3e-06 \tabularnewline
[140000,150000[ & 145000 & 1 & 0.008333 & 0.15 & 1e-06 \tabularnewline
[150000,160000[ & 155000 & 0 & 0 & 0.15 & 0 \tabularnewline
[160000,170000[ & 165000 & 0 & 0 & 0.15 & 0 \tabularnewline
[170000,180000[ & 175000 & 1 & 0.008333 & 0.158333 & 1e-06 \tabularnewline
[180000,190000[ & 185000 & 1 & 0.008333 & 0.166667 & 1e-06 \tabularnewline
[190000,2e+05[ & 195000 & 4 & 0.033333 & 0.2 & 3e-06 \tabularnewline
[2e+05,210000[ & 205000 & 1 & 0.008333 & 0.208333 & 1e-06 \tabularnewline
[210000,220000[ & 215000 & 2 & 0.016667 & 0.225 & 2e-06 \tabularnewline
[220000,230000[ & 225000 & 0 & 0 & 0.225 & 0 \tabularnewline
[230000,240000[ & 235000 & 2 & 0.016667 & 0.241667 & 2e-06 \tabularnewline
[240000,250000[ & 245000 & 1 & 0.008333 & 0.25 & 1e-06 \tabularnewline
[250000,260000[ & 255000 & 0 & 0 & 0.25 & 0 \tabularnewline
[260000,270000[ & 265000 & 2 & 0.016667 & 0.266667 & 2e-06 \tabularnewline
[270000,280000[ & 275000 & 3 & 0.025 & 0.291667 & 2e-06 \tabularnewline
[280000,290000[ & 285000 & 0 & 0 & 0.291667 & 0 \tabularnewline
[290000,3e+05[ & 295000 & 4 & 0.033333 & 0.325 & 3e-06 \tabularnewline
[3e+05,310000[ & 305000 & 0 & 0 & 0.325 & 0 \tabularnewline
[310000,320000[ & 315000 & 1 & 0.008333 & 0.333333 & 1e-06 \tabularnewline
[320000,330000[ & 325000 & 2 & 0.016667 & 0.35 & 2e-06 \tabularnewline
[330000,340000[ & 335000 & 0 & 0 & 0.35 & 0 \tabularnewline
[340000,350000[ & 345000 & 1 & 0.008333 & 0.358333 & 1e-06 \tabularnewline
[350000,360000[ & 355000 & 1 & 0.008333 & 0.366667 & 1e-06 \tabularnewline
[360000,370000[ & 365000 & 3 & 0.025 & 0.391667 & 2e-06 \tabularnewline
[370000,380000[ & 375000 & 4 & 0.033333 & 0.425 & 3e-06 \tabularnewline
[380000,390000[ & 385000 & 0 & 0 & 0.425 & 0 \tabularnewline
[390000,4e+05[ & 395000 & 2 & 0.016667 & 0.441667 & 2e-06 \tabularnewline
[4e+05,410000[ & 405000 & 1 & 0.008333 & 0.45 & 1e-06 \tabularnewline
[410000,420000[ & 415000 & 1 & 0.008333 & 0.458333 & 1e-06 \tabularnewline
[420000,430000[ & 425000 & 0 & 0 & 0.458333 & 0 \tabularnewline
[430000,440000[ & 435000 & 5 & 0.041667 & 0.5 & 4e-06 \tabularnewline
[440000,450000[ & 445000 & 1 & 0.008333 & 0.508333 & 1e-06 \tabularnewline
[450000,460000[ & 455000 & 2 & 0.016667 & 0.525 & 2e-06 \tabularnewline
[460000,470000[ & 465000 & 2 & 0.016667 & 0.541667 & 2e-06 \tabularnewline
[470000,480000[ & 475000 & 1 & 0.008333 & 0.55 & 1e-06 \tabularnewline
[480000,490000[ & 485000 & 2 & 0.016667 & 0.566667 & 2e-06 \tabularnewline
[490000,5e+05[ & 495000 & 5 & 0.041667 & 0.608333 & 4e-06 \tabularnewline
[5e+05,510000[ & 505000 & 5 & 0.041667 & 0.65 & 4e-06 \tabularnewline
[510000,520000[ & 515000 & 5 & 0.041667 & 0.691667 & 4e-06 \tabularnewline
[520000,530000[ & 525000 & 8 & 0.066667 & 0.758333 & 7e-06 \tabularnewline
[530000,540000[ & 535000 & 16 & 0.133333 & 0.891667 & 1.3e-05 \tabularnewline
[540000,550000[ & 545000 & 7 & 0.058333 & 0.95 & 6e-06 \tabularnewline
[550000,560000[ & 555000 & 3 & 0.025 & 0.975 & 2e-06 \tabularnewline
[560000,570000] & 565000 & 3 & 0.025 & 1 & 2e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210909&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][30000,40000[[/C][C]35000[/C][C]1[/C][C]0.008333[/C][C]0.008333[/C][C]1e-06[/C][/ROW]
[ROW][C][40000,50000[[/C][C]45000[/C][C]1[/C][C]0.008333[/C][C]0.016667[/C][C]1e-06[/C][/ROW]
[ROW][C][50000,60000[[/C][C]55000[/C][C]1[/C][C]0.008333[/C][C]0.025[/C][C]1e-06[/C][/ROW]
[ROW][C][60000,70000[[/C][C]65000[/C][C]1[/C][C]0.008333[/C][C]0.033333[/C][C]1e-06[/C][/ROW]
[ROW][C][70000,80000[[/C][C]75000[/C][C]2[/C][C]0.016667[/C][C]0.05[/C][C]2e-06[/C][/ROW]
[ROW][C][80000,90000[[/C][C]85000[/C][C]0[/C][C]0[/C][C]0.05[/C][C]0[/C][/ROW]
[ROW][C][90000,1e+05[[/C][C]95000[/C][C]1[/C][C]0.008333[/C][C]0.058333[/C][C]1e-06[/C][/ROW]
[ROW][C][1e+05,110000[[/C][C]105000[/C][C]2[/C][C]0.016667[/C][C]0.075[/C][C]2e-06[/C][/ROW]
[ROW][C][110000,120000[[/C][C]115000[/C][C]1[/C][C]0.008333[/C][C]0.083333[/C][C]1e-06[/C][/ROW]
[ROW][C][120000,130000[[/C][C]125000[/C][C]3[/C][C]0.025[/C][C]0.108333[/C][C]2e-06[/C][/ROW]
[ROW][C][130000,140000[[/C][C]135000[/C][C]4[/C][C]0.033333[/C][C]0.141667[/C][C]3e-06[/C][/ROW]
[ROW][C][140000,150000[[/C][C]145000[/C][C]1[/C][C]0.008333[/C][C]0.15[/C][C]1e-06[/C][/ROW]
[ROW][C][150000,160000[[/C][C]155000[/C][C]0[/C][C]0[/C][C]0.15[/C][C]0[/C][/ROW]
[ROW][C][160000,170000[[/C][C]165000[/C][C]0[/C][C]0[/C][C]0.15[/C][C]0[/C][/ROW]
[ROW][C][170000,180000[[/C][C]175000[/C][C]1[/C][C]0.008333[/C][C]0.158333[/C][C]1e-06[/C][/ROW]
[ROW][C][180000,190000[[/C][C]185000[/C][C]1[/C][C]0.008333[/C][C]0.166667[/C][C]1e-06[/C][/ROW]
[ROW][C][190000,2e+05[[/C][C]195000[/C][C]4[/C][C]0.033333[/C][C]0.2[/C][C]3e-06[/C][/ROW]
[ROW][C][2e+05,210000[[/C][C]205000[/C][C]1[/C][C]0.008333[/C][C]0.208333[/C][C]1e-06[/C][/ROW]
[ROW][C][210000,220000[[/C][C]215000[/C][C]2[/C][C]0.016667[/C][C]0.225[/C][C]2e-06[/C][/ROW]
[ROW][C][220000,230000[[/C][C]225000[/C][C]0[/C][C]0[/C][C]0.225[/C][C]0[/C][/ROW]
[ROW][C][230000,240000[[/C][C]235000[/C][C]2[/C][C]0.016667[/C][C]0.241667[/C][C]2e-06[/C][/ROW]
[ROW][C][240000,250000[[/C][C]245000[/C][C]1[/C][C]0.008333[/C][C]0.25[/C][C]1e-06[/C][/ROW]
[ROW][C][250000,260000[[/C][C]255000[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][260000,270000[[/C][C]265000[/C][C]2[/C][C]0.016667[/C][C]0.266667[/C][C]2e-06[/C][/ROW]
[ROW][C][270000,280000[[/C][C]275000[/C][C]3[/C][C]0.025[/C][C]0.291667[/C][C]2e-06[/C][/ROW]
[ROW][C][280000,290000[[/C][C]285000[/C][C]0[/C][C]0[/C][C]0.291667[/C][C]0[/C][/ROW]
[ROW][C][290000,3e+05[[/C][C]295000[/C][C]4[/C][C]0.033333[/C][C]0.325[/C][C]3e-06[/C][/ROW]
[ROW][C][3e+05,310000[[/C][C]305000[/C][C]0[/C][C]0[/C][C]0.325[/C][C]0[/C][/ROW]
[ROW][C][310000,320000[[/C][C]315000[/C][C]1[/C][C]0.008333[/C][C]0.333333[/C][C]1e-06[/C][/ROW]
[ROW][C][320000,330000[[/C][C]325000[/C][C]2[/C][C]0.016667[/C][C]0.35[/C][C]2e-06[/C][/ROW]
[ROW][C][330000,340000[[/C][C]335000[/C][C]0[/C][C]0[/C][C]0.35[/C][C]0[/C][/ROW]
[ROW][C][340000,350000[[/C][C]345000[/C][C]1[/C][C]0.008333[/C][C]0.358333[/C][C]1e-06[/C][/ROW]
[ROW][C][350000,360000[[/C][C]355000[/C][C]1[/C][C]0.008333[/C][C]0.366667[/C][C]1e-06[/C][/ROW]
[ROW][C][360000,370000[[/C][C]365000[/C][C]3[/C][C]0.025[/C][C]0.391667[/C][C]2e-06[/C][/ROW]
[ROW][C][370000,380000[[/C][C]375000[/C][C]4[/C][C]0.033333[/C][C]0.425[/C][C]3e-06[/C][/ROW]
[ROW][C][380000,390000[[/C][C]385000[/C][C]0[/C][C]0[/C][C]0.425[/C][C]0[/C][/ROW]
[ROW][C][390000,4e+05[[/C][C]395000[/C][C]2[/C][C]0.016667[/C][C]0.441667[/C][C]2e-06[/C][/ROW]
[ROW][C][4e+05,410000[[/C][C]405000[/C][C]1[/C][C]0.008333[/C][C]0.45[/C][C]1e-06[/C][/ROW]
[ROW][C][410000,420000[[/C][C]415000[/C][C]1[/C][C]0.008333[/C][C]0.458333[/C][C]1e-06[/C][/ROW]
[ROW][C][420000,430000[[/C][C]425000[/C][C]0[/C][C]0[/C][C]0.458333[/C][C]0[/C][/ROW]
[ROW][C][430000,440000[[/C][C]435000[/C][C]5[/C][C]0.041667[/C][C]0.5[/C][C]4e-06[/C][/ROW]
[ROW][C][440000,450000[[/C][C]445000[/C][C]1[/C][C]0.008333[/C][C]0.508333[/C][C]1e-06[/C][/ROW]
[ROW][C][450000,460000[[/C][C]455000[/C][C]2[/C][C]0.016667[/C][C]0.525[/C][C]2e-06[/C][/ROW]
[ROW][C][460000,470000[[/C][C]465000[/C][C]2[/C][C]0.016667[/C][C]0.541667[/C][C]2e-06[/C][/ROW]
[ROW][C][470000,480000[[/C][C]475000[/C][C]1[/C][C]0.008333[/C][C]0.55[/C][C]1e-06[/C][/ROW]
[ROW][C][480000,490000[[/C][C]485000[/C][C]2[/C][C]0.016667[/C][C]0.566667[/C][C]2e-06[/C][/ROW]
[ROW][C][490000,5e+05[[/C][C]495000[/C][C]5[/C][C]0.041667[/C][C]0.608333[/C][C]4e-06[/C][/ROW]
[ROW][C][5e+05,510000[[/C][C]505000[/C][C]5[/C][C]0.041667[/C][C]0.65[/C][C]4e-06[/C][/ROW]
[ROW][C][510000,520000[[/C][C]515000[/C][C]5[/C][C]0.041667[/C][C]0.691667[/C][C]4e-06[/C][/ROW]
[ROW][C][520000,530000[[/C][C]525000[/C][C]8[/C][C]0.066667[/C][C]0.758333[/C][C]7e-06[/C][/ROW]
[ROW][C][530000,540000[[/C][C]535000[/C][C]16[/C][C]0.133333[/C][C]0.891667[/C][C]1.3e-05[/C][/ROW]
[ROW][C][540000,550000[[/C][C]545000[/C][C]7[/C][C]0.058333[/C][C]0.95[/C][C]6e-06[/C][/ROW]
[ROW][C][550000,560000[[/C][C]555000[/C][C]3[/C][C]0.025[/C][C]0.975[/C][C]2e-06[/C][/ROW]
[ROW][C][560000,570000][/C][C]565000[/C][C]3[/C][C]0.025[/C][C]1[/C][C]2e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210909&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210909&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
[30000,40000[	35000	1	0.008333	0.008333	1e-06
[40000,50000[	45000	1	0.008333	0.016667	1e-06
[50000,60000[	55000	1	0.008333	0.025	1e-06
[60000,70000[	65000	1	0.008333	0.033333	1e-06
[70000,80000[	75000	2	0.016667	0.05	2e-06
[80000,90000[	85000	0	0	0.05	0
[90000,1e+05[	95000	1	0.008333	0.058333	1e-06
[1e+05,110000[	105000	2	0.016667	0.075	2e-06
[110000,120000[	115000	1	0.008333	0.083333	1e-06
[120000,130000[	125000	3	0.025	0.108333	2e-06
[130000,140000[	135000	4	0.033333	0.141667	3e-06
[140000,150000[	145000	1	0.008333	0.15	1e-06
[150000,160000[	155000	0	0	0.15	0
[160000,170000[	165000	0	0	0.15	0
[170000,180000[	175000	1	0.008333	0.158333	1e-06
[180000,190000[	185000	1	0.008333	0.166667	1e-06
[190000,2e+05[	195000	4	0.033333	0.2	3e-06
[2e+05,210000[	205000	1	0.008333	0.208333	1e-06
[210000,220000[	215000	2	0.016667	0.225	2e-06
[220000,230000[	225000	0	0	0.225	0
[230000,240000[	235000	2	0.016667	0.241667	2e-06
[240000,250000[	245000	1	0.008333	0.25	1e-06
[250000,260000[	255000	0	0	0.25	0
[260000,270000[	265000	2	0.016667	0.266667	2e-06
[270000,280000[	275000	3	0.025	0.291667	2e-06
[280000,290000[	285000	0	0	0.291667	0
[290000,3e+05[	295000	4	0.033333	0.325	3e-06
[3e+05,310000[	305000	0	0	0.325	0
[310000,320000[	315000	1	0.008333	0.333333	1e-06
[320000,330000[	325000	2	0.016667	0.35	2e-06
[330000,340000[	335000	0	0	0.35	0
[340000,350000[	345000	1	0.008333	0.358333	1e-06
[350000,360000[	355000	1	0.008333	0.366667	1e-06
[360000,370000[	365000	3	0.025	0.391667	2e-06
[370000,380000[	375000	4	0.033333	0.425	3e-06
[380000,390000[	385000	0	0	0.425	0
[390000,4e+05[	395000	2	0.016667	0.441667	2e-06
[4e+05,410000[	405000	1	0.008333	0.45	1e-06
[410000,420000[	415000	1	0.008333	0.458333	1e-06
[420000,430000[	425000	0	0	0.458333	0
[430000,440000[	435000	5	0.041667	0.5	4e-06
[440000,450000[	445000	1	0.008333	0.508333	1e-06
[450000,460000[	455000	2	0.016667	0.525	2e-06
[460000,470000[	465000	2	0.016667	0.541667	2e-06
[470000,480000[	475000	1	0.008333	0.55	1e-06
[480000,490000[	485000	2	0.016667	0.566667	2e-06
[490000,5e+05[	495000	5	0.041667	0.608333	4e-06
[5e+05,510000[	505000	5	0.041667	0.65	4e-06
[510000,520000[	515000	5	0.041667	0.691667	4e-06
[520000,530000[	525000	8	0.066667	0.758333	7e-06
[530000,540000[	535000	16	0.133333	0.891667	1.3e-05
[540000,550000[	545000	7	0.058333	0.95	6e-06
[550000,560000[	555000	3	0.025	0.975	2e-06
[560000,570000]	565000	3	0.025	1	2e-06

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 48 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '48'
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