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Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationFri, 23 Dec 2016 10:04:07 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/23/t1482483859srwl84wxqhtnebf.htm/, Retrieved Fri, 01 Nov 2024 03:28:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=302787, Retrieved Fri, 01 Nov 2024 03:28:03 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2016-12-23 09:04:07] [00d6a26c230b6c589ee3bbc701d55499] [Current]
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Dataseries X:
0.0500	0.2500	0.2000	0.0500	0.0000	0.4500
0.2222	0.2778	0.0556	0.0556	0.1111	0.2778
0.3158	0.0526	0.2632	0.0000	0.0000	0.3684
0.0500	0.3500	0.0000	0.3000	0.0000	0.3000
0.3810	0.0952	0.0952	0.1429	0.0476	0.2381
0.1500	0.2000	0.1500	0.1500	0.2000	0.1500
0.4211	0.0526	0.0526	0.1053	0.0526	0.3158
0.3500	0.1000	0.1000	0.0500	0.3000	0.1000
0.3684	0.1053	0.1579	0.1579	0.0526	0.1579
0.1905	0.2381	0.0952	0.0476	0.0952	0.3333
0.3158	0.1579	0.0526	0.0000	0.2632	0.2105
0.1000	0.3500	0.1000	0.1500	0.0500	0.2500
0.2941	0.3529	0.0588	0.0588	0.1176	0.1176
0.1053	0.4737	0.1053	0.1053	0.1053	0.1053
0.2778	0.2222	0.0556	0.0556	0.1111	0.2778




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302787&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=302787&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302787&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 Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Blauw0.050.127650.27780.33290.4211
Geel0.05260.102650.22220.31390.4737
Bruin00.05560.09520.127650.2
Groen00.050.05880.146450.1579
Rood00.04880.09520.114350.2
Oranje0.10.153950.250.30790.45

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Blauw & 0.05 & 0.12765 & 0.2778 & 0.3329 & 0.4211 \tabularnewline
Geel & 0.0526 & 0.10265 & 0.2222 & 0.3139 & 0.4737 \tabularnewline
Bruin & 0 & 0.0556 & 0.0952 & 0.12765 & 0.2 \tabularnewline
Groen & 0 & 0.05 & 0.0588 & 0.14645 & 0.1579 \tabularnewline
Rood & 0 & 0.0488 & 0.0952 & 0.11435 & 0.2 \tabularnewline
Oranje & 0.1 & 0.15395 & 0.25 & 0.3079 & 0.45 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302787&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]Blauw[/C][C]0.05[/C][C]0.12765[/C][C]0.2778[/C][C]0.3329[/C][C]0.4211[/C][/ROW]
[ROW][C]Geel[/C][C]0.0526[/C][C]0.10265[/C][C]0.2222[/C][C]0.3139[/C][C]0.4737[/C][/ROW]
[ROW][C]Bruin[/C][C]0[/C][C]0.0556[/C][C]0.0952[/C][C]0.12765[/C][C]0.2[/C][/ROW]
[ROW][C]Groen[/C][C]0[/C][C]0.05[/C][C]0.0588[/C][C]0.14645[/C][C]0.1579[/C][/ROW]
[ROW][C]Rood[/C][C]0[/C][C]0.0488[/C][C]0.0952[/C][C]0.11435[/C][C]0.2[/C][/ROW]
[ROW][C]Oranje[/C][C]0.1[/C][C]0.15395[/C][C]0.25[/C][C]0.3079[/C][C]0.45[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=302787&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302787&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
Blauw0.050.127650.27780.33290.4211
Geel0.05260.102650.22220.31390.4737
Bruin00.05560.09520.127650.2
Groen00.050.05880.146450.1579
Rood00.04880.09520.114350.2
Oranje0.10.153950.250.30790.45







Boxplot Notches
Variablelower boundmedianupper bound
Blauw0.1940673910494440.27780.361532608950556
Geel0.1360196655746410.22220.308380334425359
Bruin0.06580689659007290.09520.124593103409927
Groen0.01945281299254040.05880.0981471870074596
Rood0.06845859918777630.09520.121941400812224
Oranje0.1871954438590110.250.312804556140989

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Blauw & 0.194067391049444 & 0.2778 & 0.361532608950556 \tabularnewline
Geel & 0.136019665574641 & 0.2222 & 0.308380334425359 \tabularnewline
Bruin & 0.0658068965900729 & 0.0952 & 0.124593103409927 \tabularnewline
Groen & 0.0194528129925404 & 0.0588 & 0.0981471870074596 \tabularnewline
Rood & 0.0684585991877763 & 0.0952 & 0.121941400812224 \tabularnewline
Oranje & 0.187195443859011 & 0.25 & 0.312804556140989 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302787&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]Blauw[/C][C]0.194067391049444[/C][C]0.2778[/C][C]0.361532608950556[/C][/ROW]
[ROW][C]Geel[/C][C]0.136019665574641[/C][C]0.2222[/C][C]0.308380334425359[/C][/ROW]
[ROW][C]Bruin[/C][C]0.0658068965900729[/C][C]0.0952[/C][C]0.124593103409927[/C][/ROW]
[ROW][C]Groen[/C][C]0.0194528129925404[/C][C]0.0588[/C][C]0.0981471870074596[/C][/ROW]
[ROW][C]Rood[/C][C]0.0684585991877763[/C][C]0.0952[/C][C]0.121941400812224[/C][/ROW]
[ROW][C]Oranje[/C][C]0.187195443859011[/C][C]0.25[/C][C]0.312804556140989[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=302787&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302787&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
Blauw0.1940673910494440.27780.361532608950556
Geel0.1360196655746410.22220.308380334425359
Bruin0.06580689659007290.09520.124593103409927
Groen0.01945281299254040.05880.0981471870074596
Rood0.06845859918777630.09520.121941400812224
Oranje0.1871954438590110.250.312804556140989



Parameters (Session):
par1 = grey ; par2 = no ;
Parameters (R input):
par1 = grey ; par2 = no ;
R code (references can be found in the software module):
par2 <- 'no'
par1 <- 'grey'
if(par2=='yes') {
z <- na.omit(as.data.frame(t(y)))
} else {
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,'Boxplot statistics',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower whisker',1,TRUE)
a<-table.element(a,'lower hinge',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper hinge',1,TRUE)
a<-table.element(a,'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')