Free Statistics

of Irreproducible Research!

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, 04 Oct 2010 17:46:28 +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/04/t12862145444goabgb175hm6yt.htm/, Retrieved Sat, 27 Apr 2024 16:35:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=80787, Retrieved Sat, 27 Apr 2024 16:35:05 +0000
QR Codes:

Original text written by user:Na het verwijderen van de uitschieters zien we dat de boxplot werd aangepast, maar dat er andere observaties buiten de snorharen vallen en dus als uitschieters beschouwd worden.
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [Screen Width and ...] [2010-09-25 10:03:47] [b98453cac15ba1066b407e146608df68]
F    D    [Notched Boxplots] [Boxplot] [2010-10-04 17:46:28] [66b4703b90a9701067ac75b10c82aca9] [Current]
Feedback Forum
2010-10-08 08:57:42 [Glen Verlinden] [reply
goede oplossing en goede interpretatie,

Reproduce the previous computation

Change the R code by imposing restrictions on the data. For instance, we might insert the
following line of code at the appropriate position:
z <- z[z[,1]*z[,2]>800000 & z[,1]*z[,2]<1700000,]

you can observe the entire R code in the blogged computation (below)
Result:

If we select only those screens for which the number of pixels (=width * height) is in the interval ]
800000, 1700000[ then most of the outliers are removed. In both computations the boxes (= middle
50% of observations are not strongly affected.

Post a new message
Dataseries X:
1117	698
1120	700
1140	641
1143	857
1152	864
1152	864
1176	735
1176	735
1257	785
1280	1024
1280	800
1280	1024
1280	800
1280	800
1280	1024
1280	800
1280	800
1280	1024
1280	800
1280	800
1280	768
1280	800
1280	768
1280	800
1280	768
1280	1024
1280	800
1280	800
1280	800
1280	800
1280	800
1280	800
1280	1024
1280	800
1280	800
1280	800
1280	800
1280	800
1280	1024
1280	800
1280	800
1280	1024
1280	800
1280	800
1280	800
1280	1024
1280	800
1280	800
1280	800
1280	800
1280	800
1280	800
1280	800
1280	800
1280	800
1280	800
1280	800
1280	800
1280	1024
1280	800
1280	800
1280	800
1280	800
1280	800
1280	768
1280	800
1280	800
1280	800
1280	800
1280	800
1366	768
1366	768
1366	768
1366	768
1366	768
1366	768
1366	768
1366	768
1408	880
1408	880
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1440	900
1503	845	
1600	900
1600	900
1600	900
1600	900
1680	1050
1680	1050
1680	1050
1680	1050




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80787&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80787&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80787&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Width11171280128014401680
Height6988008009001050

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Width & 1117 & 1280 & 1280 & 1440 & 1680 \tabularnewline
Height & 698 & 800 & 800 & 900 & 1050 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80787&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]Width[/C][C]1117[/C][C]1280[/C][C]1280[/C][C]1440[/C][C]1680[/C][/ROW]
[ROW][C]Height[/C][C]698[/C][C]800[/C][C]800[/C][C]900[/C][C]1050[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80787&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80787&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
Width11171280128014401680
Height6988008009001050







Boxplot Notches
Variablelower boundmedianupper bound
Width1255.8964657438712801304.10353425613
Height784.93529108992800815.06470891008

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Width & 1255.89646574387 & 1280 & 1304.10353425613 \tabularnewline
Height & 784.93529108992 & 800 & 815.06470891008 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80787&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]Width[/C][C]1255.89646574387[/C][C]1280[/C][C]1304.10353425613[/C][/ROW]
[ROW][C]Height[/C][C]784.93529108992[/C][C]800[/C][C]815.06470891008[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80787&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80787&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
Width1255.8964657438712801304.10353425613
Height784.93529108992800815.06470891008



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')