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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationMon, 09 Nov 2009 13:05:23 -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/2009/Nov/09/t1257797207474rum3fvy7lyv8.htm/, Retrieved Fri, 19 Apr 2024 12:18:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54979, Retrieved Fri, 19 Apr 2024 12:18:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKVN WS6
Estimated Impact161

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [WS6 Box Plot Huw....] [2009-11-09 20:05:23] [f1100e00818182135823a11ccbd0f3b9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9487	1169	1,00	2,6
8700	2154	1,00	2,5
9627	2249	0,99	2,5
8947	2687	0,97	1,6
9283	4359	0,96	1,4
8829	5382	0,96	0,8
9947	4459	1,09	1,1
9628	6398	1,10	1,3
9318	4596	1,10	1,2
9605	3024	1,09	1,3
8640	1887	1,07	1,1
9214	2070	1,08	1,3
9567	1351	1,09	1,2
8547	2218	1,09	1,6
9185	2461	1,07	1,7
9470	3028	1,07	1,5
9123	4784	1,05	0,9
9278	4975	1,06	1,5
10170	4607	1,20	1,4
9434	6249	1,22	1,6
9655	4809	1,21	1,7
9429	3157	1,19	1,4
8739	1910	1,15	1,8
9552	2228	1,17	1,7
9687	1594	1,18	1,4
9019	2467	1,18	1,2
9672	2222	1,17	1
9206	3607	1,14	1,7
9069	4685	1,13	2,4
9788	4962	1,14	2
10312	5770	1,25	2,1
10105	5480	1,28	2
9863	5000	1,29	1,8
9656	3228	1,28	2,7
9295	1993	1,25	2,3
9946	2288	1,25	1,9
9701	1580	1,24	2
9049	2111	1,24	2,3
10190	2192	1,23	2,8
9706	3601	1,20	2,4
9765	4665	1,19	2,3
9893	4876	1,20	2,7
9994	5813	1,30	2,7
10433	5589	1,32	2,9
10073	5331	1,32	3
10112	3075	1,29	2,2
9266	2002	1,25	2,3
9820	2306	1,25	2,8
10097	1507	1,25	2,8
9115	1992	1,24	2,8
10411	2487	1,22	2,2
9678	3490	1,21	2,6
10408	4647	1,20	2,8
10153	5594	1,20	2,5
10368	5611	1,30	2,4
10581	5788	1,31	2,3
10597	6204	1,30	1,9
10680	3013	1,23	1,7
9738	1931	1,19	2
9556	2549	1,17	2,1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54979&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54979&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54979&T=0

As an alternative you can also use a QR Code:  
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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Geb.854792729655.510033.510680
Huw.11692205311649196398
WerkLH.0.961.091.1951.251.32
Inflatie0.81.4522.453

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Geb. & 8547 & 9272 & 9655.5 & 10033.5 & 10680 \tabularnewline
Huw. & 1169 & 2205 & 3116 & 4919 & 6398 \tabularnewline
WerkLH. & 0.96 & 1.09 & 1.195 & 1.25 & 1.32 \tabularnewline
Inflatie & 0.8 & 1.45 & 2 & 2.45 & 3 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54979&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]Geb.[/C][C]8547[/C][C]9272[/C][C]9655.5[/C][C]10033.5[/C][C]10680[/C][/ROW]
[ROW][C]Huw.[/C][C]1169[/C][C]2205[/C][C]3116[/C][C]4919[/C][C]6398[/C][/ROW]
[ROW][C]WerkLH.[/C][C]0.96[/C][C]1.09[/C][C]1.195[/C][C]1.25[/C][C]1.32[/C][/ROW]
[ROW][C]Inflatie[/C][C]0.8[/C][C]1.45[/C][C]2[/C][C]2.45[/C][C]3[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54979&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54979&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Geb.854792729655.510033.510680
Huw.11692205311649196398
WerkLH.0.961.091.1951.251.32
Inflatie0.81.4522.453






Boxplot Notches
Variablelower boundmedianupper bound
Geb.9500.171420911459655.59810.82857908855
Huw.2562.406088448731163669.5939115513
WerkLH.1.162363660335961.1951.22763633966404
Inflatie1.7960228770997422.20397712290026

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Geb. & 9500.17142091145 & 9655.5 & 9810.82857908855 \tabularnewline
Huw. & 2562.4060884487 & 3116 & 3669.5939115513 \tabularnewline
WerkLH. & 1.16236366033596 & 1.195 & 1.22763633966404 \tabularnewline
Inflatie & 1.79602287709974 & 2 & 2.20397712290026 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54979&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]Geb.[/C][C]9500.17142091145[/C][C]9655.5[/C][C]9810.82857908855[/C][/ROW]
[ROW][C]Huw.[/C][C]2562.4060884487[/C][C]3116[/C][C]3669.5939115513[/C][/ROW]
[ROW][C]WerkLH.[/C][C]1.16236366033596[/C][C]1.195[/C][C]1.22763633966404[/C][/ROW]
[ROW][C]Inflatie[/C][C]1.79602287709974[/C][C]2[/C][C]2.20397712290026[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54979&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54979&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Boxplot Notches
Variablelower boundmedianupper bound
Geb.9500.171420911459655.59810.82857908855
Huw.2562.406088448731163669.5939115513
WerkLH.1.162363660335961.1951.22763633966404
Inflatie1.7960228770997422.20397712290026


Figures (Output of Computation)

Input Parameters & R Code

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')