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 18:05:24 +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/t1286215982o3hemhluh3jsl71.htm/, Retrieved Sat, 27 Apr 2024 19:02:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=80852, Retrieved Sat, 27 Apr 2024 19:02:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134
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] [workshop 1 notche...] [2010-10-04 18:05:24] [dc77c696707133dea0955379c56a2acd] [Current]
Feedback Forum
2010-10-08 11:17:02 [48e24d799f20d8989b59f4ca0407f156] [reply
Ik heb de uitersten manueel uit de data gehaald, beter zou zijn de R code aan te passen met de formule gegeven in de les.
2010-10-08 12:31:18 [00c625c7d009d84797af914265b614f9] [reply
De uitschieters kunnen manueel verwijderd worden in excel of door de R-code aan te passen (invoegen z <- z[z[,1]*z[,2]>800000 & z[,1]*z[,2]<1700000,]).
De resultaten liggen zeer dicht bij elkaar, hieruit kunnen we afleiden dat boxplots weinig gevoelig zijn aan uitschieters.
2010-10-09 08:25:15 [] [reply
Er wordt gevraagd om de uitschieters te verwijderen en niet om uitschieters bij te voegen.

Post a new message
Dataseries X:
1280	1024
1024	768
1120	700
1024	768
1280	800
1280	1024
1280	800
1024	768
1280	800
1280	1024
1280	800
1280	800
1280	1024
1688	949
1440	900
1600	1200
1280	800
1280	800
1280	768
1176	735
1280	800
1503	845
1440	900
1366	768
1280	768
1024	768
1280	800
2560	1440
1280	768
1024	768
1280	1024
1280	800
1440	900
1280	800
1440	900
1024	768
1440	900
1143	857
1280	800
1440	900
1280	800
1366	768
1024	768
1408	880
1366	768
1176	735
1920	1200
1257	785
1280	800
1280	800
1440	900
1680	1050
1440	900
1024	768
1140	641
1280	1024
1280	800
1280	800
1280	800
1280	800
1440	900
1280	800
1152	864
1280	1024
1280	800
1440	900
1280	800
1280	1024
1440	900
1280	800
1280	800
1440	900
1280	800
1280	1024
1600	900
1024	768
1366	768
1280	800
1280	800
1440	900
1366	768
1280	800
1024	768
1280	800
1440	900
1280	800
1280	800
1408	880
1280	800
1600	900
1600	900
1680	1050
1440	900
1440	900
917	550
1280	800
1760	990
1280	800
1280	800
1280	800
1024	768
1366	768
1440	900
1280	800
1280	1024
1920	1080
1024	768
1024	768
1600	900
1117	698
1440	900
983	737
1024	768
1024	640
1280	800
1440	900
1280	800
1280	800
1280	800
1440	900
1280	800
1024	768
1024	768
1152	864
1280	768
1024	768
1366	768
1680	1050
1680	1050
1280	800
1366	768
1024	768
1440	900
1024	768
1280	800
1280	800
1280	800
1024	768
1280	800
6000 100
200   4000




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80852&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80852&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80852&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Width11171280128014401680
Height6407688009001080

\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 & 640 & 768 & 800 & 900 & 1080 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80852&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]640[/C][C]768[/C][C]800[/C][C]900[/C][C]1080[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80852&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80852&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
Height6407688009001080







Boxplot Notches
Variablelower boundmedianupper bound
Width1258.7103994354412801301.28960056456
Height782.436079534237800817.563920465763

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Width & 1258.71039943544 & 1280 & 1301.28960056456 \tabularnewline
Height & 782.436079534237 & 800 & 817.563920465763 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80852&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]1258.71039943544[/C][C]1280[/C][C]1301.28960056456[/C][/ROW]
[ROW][C]Height[/C][C]782.436079534237[/C][C]800[/C][C]817.563920465763[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80852&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80852&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
Width1258.7103994354412801301.28960056456
Height782.436079534237800817.563920465763



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')