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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, 08 Dec 2008 12:57:25 -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/08/t1228766308ycta4ujnf47588q.htm/, Retrieved Thu, 16 May 2024 07:49:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30885, Retrieved Thu, 16 May 2024 07:49:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact225

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Notched Boxplots] [workshop 3] [2007-10-26 13:31:48] [e9ffc5de6f8a7be62f22b142b5b6b1a8]
F    D  [Notched Boxplots] [Q1 - Notched Boxplot] [2008-11-03 09:57:32] [a7f04e0e73ce3683561193958d653479]
-    D    [Notched Boxplots] [Notched boxplots:...] [2008-12-08 19:48:56] [a7f04e0e73ce3683561193958d653479]
-    D        [Notched Boxplots] [Notched Boxplots:...] [2008-12-08 19:57:25] [f1a30f1149cef3ef3ef69d586c6c3c1c] [Current]
-    D          [Notched Boxplots] [Notched Boxplots:...] [2008-12-08 20:08:07] [a7f04e0e73ce3683561193958d653479]
- RMPD          [Bivariate Kernel Density Estimation] [Bivariate Kernel ...] [2008-12-08 20:23:10] [a7f04e0e73ce3683561193958d653479]
-    D            [Bivariate Kernel Density Estimation] [Bivariate Kernel ...] [2008-12-08 20:26:55] [a7f04e0e73ce3683561193958d653479]
-    D              [Bivariate Kernel Density Estimation] [Bivariate Kernel ...] [2008-12-08 20:30:45] [a7f04e0e73ce3683561193958d653479]
-   PD                [Bivariate Kernel Density Estimation] [Bivariate Kernel ...] [2008-12-08 21:50:20] [a7f04e0e73ce3683561193958d653479]
- RMPD              [Trivariate Scatterplots] [Trivariate Scatte...] [2008-12-08 20:42:07] [a7f04e0e73ce3683561193958d653479]
-   PD                [Trivariate Scatterplots] [Trivariate Scatte...] [2008-12-08 20:47:38] [a7f04e0e73ce3683561193958d653479]
- RMPD                [Box-Cox Linearity Plot] [Bow-Cox Linearity...] [2008-12-08 20:57:51] [a7f04e0e73ce3683561193958d653479]
-    D                  [Box-Cox Linearity Plot] [Box-Cox Linearity...] [2008-12-08 21:02:17] [a7f04e0e73ce3683561193958d653479]
-    D                    [Box-Cox Linearity Plot] [Box-Cox Linearity...] [2008-12-16 20:21:18] [a7f04e0e73ce3683561193958d653479]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
49	41
46	35
45	34
49	36
47	39
45	40
48	30
51	33
48	30
49	32
51	41
54	40
52	41
52	40
53	39
51	34
55	34
53	46
51	45
52	44
54	40
58	39
57	37
52	39
50	35
53	26
50	26
50	33
51	27
53	30
49	26
54	27
57	18
58	19
56	13
60	14
55	41
54	21
52	16
55	17
56	9
54	14
53	14
59	16
62	11
63	10
64	6
75	9
77	5
79	7
77	2
82	0
83	8
81	13
78	11
79	19
79	23
73	23
72	43
67	59

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=30885&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=30885&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30885&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Consumptieprijzen45515462.579
Werkloosheid01428.53959

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Consumptieprijzen & 45 & 51 & 54 & 62.5 & 79 \tabularnewline
Werkloosheid & 0 & 14 & 28.5 & 39 & 59 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30885&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]Consumptieprijzen[/C][C]45[/C][C]51[/C][C]54[/C][C]62.5[/C][C]79[/C][/ROW]
[ROW][C]Werkloosheid[/C][C]0[/C][C]14[/C][C]28.5[/C][C]39[/C][C]59[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30885&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30885&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
Consumptieprijzen45515462.579
Werkloosheid01428.53959






Boxplot Notches
Variablelower boundmedianupper bound
Consumptieprijzen51.6542630866475456.345736913353
Werkloosheid23.400571927493628.533.5994280725064

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Consumptieprijzen & 51.654263086647 & 54 & 56.345736913353 \tabularnewline
Werkloosheid & 23.4005719274936 & 28.5 & 33.5994280725064 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30885&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]Consumptieprijzen[/C][C]51.654263086647[/C][C]54[/C][C]56.345736913353[/C][/ROW]
[ROW][C]Werkloosheid[/C][C]23.4005719274936[/C][C]28.5[/C][C]33.5994280725064[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30885&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30885&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
Consumptieprijzen51.6542630866475456.345736913353
Werkloosheid23.400571927493628.533.5994280725064


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')