Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationWed, 05 Nov 2008 05:02:55 -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/Nov/05/t1225886617omaisoq7zist5pj.htm/, Retrieved Mon, 20 May 2024 10:37:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=21714, Retrieved Mon, 20 May 2024 10:37:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Dooren Leen
Estimated Impact161
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Notched Boxplots] [task 3] [2008-11-05 12:02:55] [d175f84d503eb4f2a43145d5e67795b5] [Current]
-    D    [Notched Boxplots] [Assessment EDA_pa...] [2008-11-11 14:28:23] [f77c9ab3b413812d7baee6b7ec69a15d]
Feedback Forum
2008-11-10 12:38:59 [Gert-Jan Geudens] [reply
Haar conclusie en uitleg van de transformatie is juist maar zij gebruikt een verkeerde grafiek om dit uit te leggen. Zij heeft een notched boxplot gemaakt van het totaal en van de kledingproductie wat uiteraard niet correct is. Je moet immers de log-functie op de investeringen en dergelijke toepassen. Het enige wat je moet doen is de grafiek van de vorige vraag (TASK 2) aanpassen met de log functie. Ik vermoed dat zij de totaalgeg. vergeleken heeft met de investeringsgeg. Dit kan uiteraard ook maar als je dan in je conlusie terug over de grootste stijging gaat praten, moet je op de andere gegevensreeksen uiteraard ook de logaritmen toepassen.

De correcte grafiek vind je hier : www.freestatistics.org/blog/date/2008/Nov/10/t1226320621s8awu5mz8w49j24.htm
Als zij deze boxplots gebruikt, is haar conclusie correct.

Post a new message
Dataseries X:
110.40	72.50
96.40	59.40
101.90	85.70
106.20	88.20
81.00	62.80
94.70	87.00
101.00	79.20
109.40	112.00
102.30	79.20
90.70	132.10
96.20	40.10
96.10	69.00
106.00	59.40
103.10	73.80
102.00	57.40
104.70	81.10
86.00	46.60
92.10	41.40
106.90	71.20
112.60	67.90
101.70	72.00
92.00	145.50
97.40	39.70
97.00	51.90
105.40	73.70
102.70	70.90
98.10	60.80
104.50	61.00
87.40	54.50
89.90	39.10
109.80	66.60
111.70	58.50
98.60	59.80
96.90	80.90
95.10	37.30
97.00	44.60
112.70	48.70
102.90	54.00
97.40	49.50
111.40	61.60
87.40	35.00
96.80	35.70
114.10	51.30
110.30	49.00
103.90	41.50
101.60	72.50
94.60	42.10
95.90	44.10
104.70	45.10
102.80	50.30
98.10	40.90
113.90	47.20
80.90	36.90
95.70	40.90
113.20	38.30
105.90	46.30
108.80	28.40
102.30	78.40
99.00	36.80
100.70	50.70
115.50	42.80




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
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=21714&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]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=21714&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21714&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
totaal4.454347296253514.566429357671664.622027303054514.663439094112074.74927052996185
kleding 3.346389145167163.756538102587753.99820070166924.276666119016064.98017608661155

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
totaal & 4.45434729625351 & 4.56642935767166 & 4.62202730305451 & 4.66343909411207 & 4.74927052996185 \tabularnewline
kleding
 & 3.34638914516716 & 3.75653810258775 & 3.9982007016692 & 4.27666611901606 & 4.98017608661155 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21714&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]totaal[/C][C]4.45434729625351[/C][C]4.56642935767166[/C][C]4.62202730305451[/C][C]4.66343909411207[/C][C]4.74927052996185[/C][/ROW]
[ROW][C]kleding
[/C][C]3.34638914516716[/C][C]3.75653810258775[/C][C]3.9982007016692[/C][C]4.27666611901606[/C][C]4.98017608661155[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21714&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21714&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
Variablelower whiskerlower hingemedianupper hingeupper whisker
totaal4.454347296253514.566429357671664.622027303054514.663439094112074.74927052996185
kleding 3.346389145167163.756538102587753.99820070166924.276666119016064.98017608661155







Boxplot Notches
Variablelower boundmedianupper bound
totaal4.602402401170954.622027303054514.64165220493808
kleding 3.892979703614323.99820070166924.10342169972408

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
totaal & 4.60240240117095 & 4.62202730305451 & 4.64165220493808 \tabularnewline
kleding
 & 3.89297970361432 & 3.9982007016692 & 4.10342169972408 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21714&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]totaal[/C][C]4.60240240117095[/C][C]4.62202730305451[/C][C]4.64165220493808[/C][/ROW]
[ROW][C]kleding
[/C][C]3.89297970361432[/C][C]3.9982007016692[/C][C]4.10342169972408[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21714&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21714&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
Variablelower boundmedianupper bound
totaal4.602402401170954.622027303054514.64165220493808
kleding 3.892979703614323.99820070166924.10342169972408



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(log(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')