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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 computationTue, 19 Oct 2010 17:34:31 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/19/t1287509600l19trocauvms9q5.htm/, Retrieved Mon, 29 Apr 2024 00:20:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86806, Retrieved Mon, 29 Apr 2024 00:20:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [Academic Motivati...] [2010-10-12 12:51:42] [b98453cac15ba1066b407e146608df68]
F   PD    [Notched Boxplots] [] [2010-10-19 17:34:31] [6fde1c772c7be11768d9b6a0344566b2] [Current]
Feedback Forum
2010-10-23 12:38:22 [48eb36e2c01435ad7e4ea7854a9d98fe] [reply] 
De bedoeling bij deze vierde vraag was om alle types van motivatie bij mannen (1) en vrouwen (2) met elkaar te vergelijken aan de hand van notched boxplots. De beste manier om dit te doen was door deze verschillende notched boxplots in 1 voorstelling te plaatsen. Hier vind je daar een voorbeeld van: http://www.freestatistics.org/blog/date/2010/Oct/15/t1287141811ph614ld5bgz5kmv.htm/.

Uit het al dan niet overlappen van de notches kan men dan een aantal conclusies trekken:
Voor het derde type van intrinsieke motivatie alsook voor het eerste, tweede en derde type van extrinsieke motivatie ziet men een overlapping. Dit betekent dat deze types van motivatie bij beide groepen vergelijkbaar aanwezig zijn.

Voor het eerste en tweede type van intrinsieke motivatie stelt men vast dat de “notches” bij de vrouwelijke populatie beginnen daar waar die van de mannelijke populatie eindigen, voor de amotivatie stelt men net het omgekeerde vast. Dit betekent dat de amotivatie bij mannen iets groter is dan bij vrouwen.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4	3
4	3
6	4
8	6
4	3
8	7
5	4
4	3
4	3
4	3
4	3
4	3
8	6
7	6
4	3
5	4
4	3
4	3
4	3
4	3
4	3
15	11
4	3
4	3
7	6
4	3
6	4
16	12
6	4
9	7
4	3
5	3
4	3
5	4
4	3
4	3
4	3
6	3
4	3
18	14
4	3
5	4
4	3
10	9
5	4
8	6
8	6
5	4
4	3
5	4
14	10
8	5
8	6
4	3
6	5
4	3
7	5
7	6
6	4
4	3
8	6
4	3
10	8
6	5
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4

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=86806&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=86806&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86806&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






\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
V & 4 & 4 & 5 & 7 & 10 \tabularnewline
M & 3 & 3 & 4 & 6 & 10 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86806&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]V[/C][C]4[/C][C]4[/C][C]5[/C][C]7[/C][C]10[/C][/ROW]
[ROW][C]M[/C][C]3[/C][C]3[/C][C]4[/C][C]6[/C][C]10[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86806&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86806&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
V445710
M334610






Boxplot Notches
Variablelower boundmedianupper bound
V4.6275904285750955.37240957142491
M3.6275904285750844.37240957142491

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
V & 4.62759042857509 & 5 & 5.37240957142491 \tabularnewline
M & 3.62759042857508 & 4 & 4.37240957142491 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86806&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]V[/C][C]4.62759042857509[/C][C]5[/C][C]5.37240957142491[/C][/ROW]
[ROW][C]M[/C][C]3.62759042857508[/C][C]4[/C][C]4.37240957142491[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86806&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86806&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
V4.6275904285750955.37240957142491
M3.6275904285750844.37240957142491


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')