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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

Tue, 04 Nov 2008 06:28:27 -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/2008/Nov/04/t1225805390kxyudf3sg4hm4tk.htm/, Retrieved Sun, 19 May 2024 05:51:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=21540, Retrieved Sun, 19 May 2024 05:51:29 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

logaritmische transformatie

Estimated Impact

134

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

F       [Notched Boxplots] [logaritme] [2008-11-04 13:28:27] [35c75b0726318bf2908e4a56ed2df1a9] [Current]

Feedback Forum

2008-11-10 15:58:29 [Liese Drijkoningen] [reply] 
De student heeft enkel een grafiek geproduceerd bij deze vraag. Maar deze grafiek is niet correct, de juiste grafiek kan je terug vinden onder de volgende link: http://www.freestatistics.org/blog/index.php?v=date/2008/Nov/05/t1225897359m19hiidmprotdrh.htm 
Bij deze opgave kan ik nog het volgende vermelden. Je moest dus een tranformatie toepassen door middel van logaritmen (dit mag je niet doen als je met negatieve getallen werkt!). Door deze transformatie werden de kleine schommelingen in de tijdreeks groter en de grote schommelingen werden kleiner. Door dit te doen verkleinen we de invloed van outliers. Je haalt de kleine schommelingen(seizoenaliteit) er dus uit, je vlakt de boxplots af. Wel moet ik nog opmerken dat er nog een outlier aanwezig is, de tranformatie heeft de gegevens dus niet volledig afgevlakt.

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Dataseries X:

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Histogram

Boxplots

1.860338007
1.773786445
1.932980822
1.945468585
1.797959644
1.939519253
1.898725182
2.049218023
1.898725182
2.120902818
1.603144373
1.838849091
1.773786445
1.868056362
1.758911892
1.909020854
1.668385917
1.617000341
1.852479994
1.831869774
1.857332496
2.162862993
1.598790507
1.715167358
1.867467488
1.850646235
1.783903579
1.785329835
1.736396502
1.592176757
1.823474229
1.767155866
1.776701184
1.907948522
1.571708832
1.649334859
1.687528961
1.73239376
1.694605199
1.789580712
1.544068044
1.552668216
1.710117365
1.69019608
1.618048097
1.860338007
1.624282096
1.644438589
1.654176542
1.701567985
1.611723308
1.673941999
1.567026366
1.611723308
1.583198774
1.665580991
1.45331834
1.894316063
1.565847819
1.705007959
1.631443769

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	'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=21540&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=21540&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21540&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	'Gwilym Jenkins' @ 72.249.127.135

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
investments	1.45331834	1.631443769	1.736396502	1.857332496	2.162862993

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
investments & 1.45331834 & 1.631443769 & 1.736396502 & 1.857332496 & 2.162862993 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21540&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]investments[/C][C]1.45331834[/C][C]1.631443769[/C][C]1.736396502[/C][C]1.857332496[/C][C]2.162862993[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21540&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21540&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
investments	1.45331834	1.631443769	1.736396502	1.857332496	2.162862993

Boxplot Notches
Variable	lower bound	median	upper bound
investments	1.69069960324899	1.736396502	1.78209340075101

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
investments & 1.69069960324899 & 1.736396502 & 1.78209340075101 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21540&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]investments[/C][C]1.69069960324899[/C][C]1.736396502[/C][C]1.78209340075101[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21540&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21540&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
investments	1.69069960324899	1.736396502	1.78209340075101

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