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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationSat, 13 Dec 2008 05:11:10 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/13/t122917078192ra33sqb379u36.htm/, Retrieved Fri, 17 May 2024 02:40:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33005, Retrieved Fri, 17 May 2024 02:40:14 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact185
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [Paper Notched Box...] [2007-12-14 09:47:11] [96f19ddff91f3ea1f6a46c9c5521b568]
- R  D    [Notched Boxplots] [Notched boxplots] [2008-12-13 12:11:10] [81dc0ee785f23261ccd6abf7aef76c2a] [Current]
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Dataseries X:
3032,93	10967,87	10070	32,68
3045,78	10433,56	10137	31,54
3110,52	10665,78	9984	32,43
3013,24	10666,71	9732	26,54
2987,1	10682,74	9103	25,85
2995,55	10777,22	9155	27,6
2833,18	10052,6	9308	25,71
2848,96	10213,97	9394	25,38
2794,83	10546,82	9948	28,57
2845,26	10767,2	10177	27,64
2915,02	10444,5	10002	25,36
2892,63	10314,68	9728	25,9
2604,42	9042,56	10002	26,29
2641,65	9220,75	10063	21,74
2659,81	9721,84	10018	19,2
2638,53	9978,53	9960	19,32
2720,25	9923,81	10236	19,82
2745,88	9892,56	10893	20,36
2735,7	10500,98	10756	24,31
2811,7	10179,35	10940	25,97
2799,43	10080,48	10997	25,61
2555,28	9492,44	10827	24,67
2304,98	8616,49	10166	25,59
2214,95	8685,4	10186	26,09
2065,81	8160,67	10457	28,37
1940,49	8048,1	10368	27,34
2042	8641,21	10244	24,46
1995,37	8526,63	10511	27,46
1946,81	8474,21	10812	30,23
1765,9	7916,13	10738	32,33
1635,25	7977,64	10171	29,87
1833,42	8334,59	9721	24,87
1910,43	8623,36	9897	25,48
1959,67	9098,03	9828	27,28
1969,6	9154,34	9924	28,24
2061,41	9284,73	10371	29,58
2093,48	9492,49	10846	26,95
2120,88	9682,35	10413	29,08
2174,56	9762,12	10709	28,76
2196,72	10124,63	10662	29,59
2350,44	10540,05	10570	30,7
2440,25	10601,61	10297	30,52
2408,64	10323,73	10635	32,67
2472,81	10418,4	10872	33,19
2407,6	10092,96	10296	37,13
2454,62	10364,91	10383	35,54
2448,05	10152,09	10431	37,75
2497,84	10032,8	10574	41,84
2645,64	10204,59	10653	42,94
2756,76	10001,6	10805	49,14
2849,27	10411,75	10872	44,61
2921,44	10673,38	10625	40,22
2981,85	10539,51	10407	44,23
3080,58	10723,78	10463	45,85
3106,22	10682,06	10556	53,38
3119,31	10283,19	10646	53,26
3061,26	10377,18	10702	51,8
3097,31	10486,64	11353	55,3
3161,69	10545,38	11346	57,81
3257,16	10554,27	11451	63,96
3277,01	10532,54	11964	63,77
3295,32	10324,31	12574	59,15
3363,99	10695,25	13031	56,12
3494,17	10827,81	13812	57,42
3667,03	10872,48	14544	63,52
3813,06	10971,19	14931	61,71
3917,96	11145,65	14886	63,01
3895,51	11234,68	16005	68,18
3801,06	11333,88	17064	72,03
3570,12	10997,97	15168	69,75
3701,61	11036,89	16050	74,41
3862,27	11257,35	15839	74,33
3970,1	11533,59	15137	64,24
4138,52	11963,12	14954	60,03
4199,75	12185,15	15648	59,44
4290,89	12377,62	15305	62,5
4443,91	12512,89	15579	55,04
4502,64	12631,48	16348	58,34
4356,98	12268,53	15928	61,92
4591,27	12754,8	16171	67,65
4696,96	13407,75	15937	67,68
4621,4	13480,21	15713	70,3
4562,84	13673,28	15594	75,26
4202,52	13239,71	15683	71,44
4296,49	13557,69	16438	76,36
4435,23	13901,28	17032	81,71
4105,18	13200,58	17696	92,6
4116,68	13406,97	17745	90,6
3844,49	12538,12	19394	92,23
3720,98	12419,57	20148	94,09
3674,4	12193,88	20108	102,79
3857,62	12656,63	18584	109,65
3801,06	12812,48	18441	124,05
3504,37	12056,67	18391	132,69
3032,6	11322,38	19178	135,81
3047,03	11530,75	18079	116,07
2962,34	11114,08	18483	101,42
2197,82	9181,73	19644	75,73
2014,45	8614,55	19195	55,48




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33005&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33005&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33005&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Bel201635.252451.3352981.853711.2954696.96
Dowjones7977.649951.1710539.5111289.86513239.71
Goudprijs9103102701081215665.520148
Prijsruweolie19.227.5342.9464.1116.07

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Bel20 & 1635.25 & 2451.335 & 2981.85 & 3711.295 & 4696.96 \tabularnewline
Dowjones & 7977.64 & 9951.17 & 10539.51 & 11289.865 & 13239.71 \tabularnewline
Goudprijs & 9103 & 10270 & 10812 & 15665.5 & 20148 \tabularnewline
Prijsruweolie & 19.2 & 27.53 & 42.94 & 64.1 & 116.07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33005&T=1

[TABLE]
[ROW][C]Boxplot statistics[/C][/ROW]
[ROW][C]Variable[/C][C]lower whisker[/C][C]lower hinge[/C][C]median[/C][C]upper hinge[/C][C]upper whisker[/C][/ROW]
[ROW][C]Bel20[/C][C]1635.25[/C][C]2451.335[/C][C]2981.85[/C][C]3711.295[/C][C]4696.96[/C][/ROW]
[ROW][C]Dowjones[/C][C]7977.64[/C][C]9951.17[/C][C]10539.51[/C][C]11289.865[/C][C]13239.71[/C][/ROW]
[ROW][C]Goudprijs[/C][C]9103[/C][C]10270[/C][C]10812[/C][C]15665.5[/C][C]20148[/C][/ROW]
[ROW][C]Prijsruweolie[/C][C]19.2[/C][C]27.53[/C][C]42.94[/C][C]64.1[/C][C]116.07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33005&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33005&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Bel201635.252451.3352981.853711.2954696.96
Dowjones7977.649951.1710539.5111289.86513239.71
Goudprijs9103102701081215665.520148
Prijsruweolie19.227.5342.9464.1116.07







Boxplot Notches
Variablelower boundmedianupper bound
Bel202781.773423577192981.853181.92657642281
Dowjones10326.930622500410539.5110752.0893774996
Goudprijs9955.216317907491081211668.7836820925
Prijsruweolie37.132831201163442.9448.7471687988366

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Bel20 & 2781.77342357719 & 2981.85 & 3181.92657642281 \tabularnewline
Dowjones & 10326.9306225004 & 10539.51 & 10752.0893774996 \tabularnewline
Goudprijs & 9955.21631790749 & 10812 & 11668.7836820925 \tabularnewline
Prijsruweolie & 37.1328312011634 & 42.94 & 48.7471687988366 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33005&T=2

[TABLE]
[ROW][C]Boxplot Notches[/C][/ROW]
[ROW][C]Variable[/C][C]lower bound[/C][C]median[/C][C]upper bound[/C][/ROW]
[ROW][C]Bel20[/C][C]2781.77342357719[/C][C]2981.85[/C][C]3181.92657642281[/C][/ROW]
[ROW][C]Dowjones[/C][C]10326.9306225004[/C][C]10539.51[/C][C]10752.0893774996[/C][/ROW]
[ROW][C]Goudprijs[/C][C]9955.21631790749[/C][C]10812[/C][C]11668.7836820925[/C][/ROW]
[ROW][C]Prijsruweolie[/C][C]37.1328312011634[/C][C]42.94[/C][C]48.7471687988366[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33005&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33005&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Boxplot Notches
Variablelower boundmedianupper bound
Bel202781.773423577192981.853181.92657642281
Dowjones10326.930622500410539.5110752.0893774996
Goudprijs9955.216317907491081211668.7836820925
Prijsruweolie37.132831201163442.9448.7471687988366



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ;
R code (references can be found in the software module):
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
for (j in 1:5)
{
a<-table.element(a,r$stats[j,i])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,r$conf[1,i])
a<-table.element(a,r$stats[3,i])
a<-table.element(a,r$conf[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')