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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_notchedbox1.wasp

Title produced by software

Notched Boxplots

Date of computation

Thu, 05 Nov 2009 03:39:20 -0700

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/2009/Nov/05/t1257417641pt3ay9hy6geld4o.htm/, Retrieved Fri, 03 May 2024 03:45:36 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53946, Retrieved Fri, 03 May 2024 03:45:36 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

199

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

-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
-    D  [Notched Boxplots] [WS 6 notched box ...] [2009-11-05 10:31:46] [eaf42bcf5162b5692bb3c7f9d4636222]
F    D      [Notched Boxplots] [WS 6 ] [2009-11-05 10:39:20] [78d370e6d5f4594e9982a5085e7604c6] [Current]
-    D        [Notched Boxplots] [indexeringen] [2009-11-15 22:05:27] [cd6314e7e707a6546bd4604c9d1f2b69] 

Feedback Forum

2009-11-15 22:46:30 [Joris Van Mol] [reply] 
Misschien was het ook eens handig geweest om de drie gegevens te indexeren ten opzichte van een bepaald basisjaar, en om dit dat eens te bloggen en te bekijken. Ik heb dit gedaan aan de hand van jouw datareeks. De inflatie laat ik echter wel buiten beschouwing want deze indexeren geeft altijd een zeer rare uitkomst (inflatie kan gemakkelijk door de tijd heen verdubbelen of halveren dus zouden we dan te maken hebben met een zeer grote range): http://www.freestatistics.org/blog/index.php?v=date/2009/Nov/15/t1258322778rdua7gwb2nvwlop.htm/ . 
 
Het indexeren van een indexcijfer zou je ook in vraag kunnen stellen, maar de evolutie eens bekijken en vergelijken ten opzichte van elkaar is volgens mij wel eens nuttig.
  2009-11-15 22:51:00 [Joris Van Mol] [reply] 
P.S: de index is in principe al een bruikbare index om in te geven in de calculator en dan te vergelijken met de andere gegevens, maar als je hem nog eens zelf indexeert dan weet je dat je vergelijkt met hetzelfde basisjaar (namelijk het eerste jaar van jouw gekozen datareeks)

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Dataseries X:

Download CSV

Histogram

Boxplots

2.86	8.9
2.55	8.6
2.27	8.3
2.26	8.3
2.57	8.3
3.07	8.4
2.76	8.5
2.51	8.4
2.87	8.6
3.14	8.5
3.11	8.5
3.16	8.5
2.47	8.5
2.57	8.5
2.89	8.5
2.63	8.5
2.38	8.5
1.69	8.5
1.96	8.5
2.19	8.5
1.87	8.6
1.6	8.4
1.63	8.1
1.22	8
1.21	8
1.49	8
1.64	8
1.66	7.9
1.77	7.8
1.82	7.8
1.78	7.9
1.28	8.1
1.29	8
1.37	7.6
1.12	7.3
1.51	7
2.24	6.8
2.94	7
3.09	7.1
3.46	7.2
3.64	7.1
4.39	6.9
4.15	6.7
5.21	6.7
5.8	6.6
5.91	6.9
5.39	7.3
5.46	7.5
4.72	7.3
3.14	7.1
2.63	6.9
2.32	7.1
1.93	7.5
0.62	7.7
0.6	7.8
-0.37	7.8
-1.1	7.7
-1.68	7.7
-0.78	7.8
-1.19	7.9

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53946&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53946&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53946&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	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
in	-0.37	1.555	2.295	3.08	5.21
wl	6.6	7.3	7.9	8.5	8.9

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
in & -0.37 & 1.555 & 2.295 & 3.08 & 5.21 \tabularnewline
wl & 6.6 & 7.3 & 7.9 & 8.5 & 8.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53946&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]in[/C][C]-0.37[/C][C]1.555[/C][C]2.295[/C][C]3.08[/C][C]5.21[/C][/ROW]
[ROW][C]wl[/C][C]6.6[/C][C]7.3[/C][C]7.9[/C][C]8.5[/C][C]8.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53946&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53946&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
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
in	-0.37	1.555	2.295	3.08	5.21
wl	6.6	7.3	7.9	8.5	8.9

Boxplot Notches
Variable	lower bound	median	upper bound
in	1.98393488757711	2.295	2.60606511242289
wl	7.65522745251969	7.9	8.1447725474803

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
in & 1.98393488757711 & 2.295 & 2.60606511242289 \tabularnewline
wl & 7.65522745251969 & 7.9 & 8.1447725474803 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53946&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]in[/C][C]1.98393488757711[/C][C]2.295[/C][C]2.60606511242289[/C][/ROW]
[ROW][C]wl[/C][C]7.65522745251969[/C][C]7.9[/C][C]8.1447725474803[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53946&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53946&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
Variable	lower bound	median	upper bound
in	1.98393488757711	2.295	2.60606511242289
wl	7.65522745251969	7.9	8.1447725474803

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code