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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationThu, 01 Dec 2016 11:31:03 +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/01/t14805883430s3omaj6ply7vam.htm/, Retrieved Thu, 02 May 2024 02:11:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297515, Retrieved Thu, 02 May 2024 02:11:33 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2016-12-01 10:31:03] [94ac3c9a028ddd47e8862e80eac9f626] [Current]
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Dataseries X:
4	3	3	3
5	4	4	3
4	5	5	3
NA	4	4	3
NA	4	4	4
5	3	5	3
5	3	5	NA
NA	4	5	3
NA	4	5	4
5	4	5	3
5	4	5	3
4	4	4	3
4	4	4	4
4	3	4	3
4	4	4	4
5	4	5	3
NA	4	4	4
NA	NA	NA	NA
3	4	4	NA
NA	4	5	4
5	4	4	3
NA	4	4	3
5	4	4	3
NA	4	4	3
NA	4	5	4
NA	3	5	3
4	4	4	4
4	4	4	3
4	4	5	3
4	4	5	3
3	4	3	3
4	3	5	3
5	4	4	4
NA	4	5	2
4	2	4	3
5	4	5	3
NA	4	4	3
3	3	4	4
2	4	4	4
5	4	5	4
NA	4	4	3
5	4	5	3
4	3	3	3
4	4	5	3
4	4	4	3
3	4	5	3
NA	4	5	3
4	4	4	3
3	4	3	3
NA	3	NA	NA
5	4	5	3
NA	5	5	3
NA	5	4	4
2	3	3	3
3	4	4	3
2	4	4	3
NA	4	4	3
5	5	4	3
4	4	4	4
NA	4	4	3
5	4	5	3
5	4	4	3
4	5	4	3
5	4	4	3
4	4	4	3
4	2	4	2
5	4	5	3
3	4	4	3
2	4	4	4
5	4	4	3
NA	4	4	3
NA	4	4	3
NA	4	3	3
NA	3	4	3
NA	5	4	4
4	4	4	3
5	3	5	3
3	4	4	3
2	4	4	5
5	4	5	3
NA	4	5	3
1	3	3	3
NA	4	5	3
5	4	4	4
NA	4	5	4
5	5	5	5
4	4	5	4
5	4	5	4
NA	4	4	3
5	4	4	4
5	4	2	3
NA	4	4	3
4	5	5	3
NA	4	5	3
4	5	5	3
NA	4	4	3
4	4	4	4
4	5	4	5
5	4	5	4
5	4	4	3
NA	4	NA	NA
NA	4	5	4
4	4	4	3
2	4	4	3
NA	4	4	3
NA	4	5	4
NA	4	4	4
NA	4	5	3
NA	4	4	3
4	4	4	4
NA	4	4	4
NA	4	3	3
NA	4	4	3
3	3	3	3
5	4	5	NA
4	4	4	4
5	4	4	3
NA	4	5	4
5	4	4	3
3	4	4	3
4	4	4	3
3	4	4	3
NA	4	4	4
4	4	4	3
NA	4	5	4
4	4	4	3
5	4	4	3
NA	4	5	3
NA	4	4	3
NA	4	4	3
2	3	3	3
4	4	4	NA
4	5	4	5
NA	3	4	3
2	3	3	3
NA	4	4	NA
4	4	5	5
NA	NA	3	NA
4	4	4	3
5	5	5	4
4	5	5	3
NA	3	4	3
3	4	4	3
4	4	4	NA
3	4	3	3
4	5	5	3
2	4	4	4
5	5	5	4
4	3	4	3
NA	4	4	4
NA	3	3	3
4	4	4	4
5	4	4	3
4	4	4	3
2	4	3	3
NA	4	4	3
5	4	5	3
NA	4	3	3
NA	4	4	3
5	4	5	4
4	4	4	3
5	5	5	3
3	4	4	4
NA	4	4	3
4	NA	4	4
NA	3	4	3
4	4	4	4
NA	4	3	3
3	4	4	5




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center
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 Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \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=297515&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]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [ROW]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=297515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297515&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 time0 seconds
R ServerBig Analytics Cloud Computing Center
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
TV134455
TV244444
TV334455
TV4 23345

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
TV1 & 3 & 4 & 4 & 5 & 5 \tabularnewline
TV2 & 4 & 4 & 4 & 4 & 4 \tabularnewline
TV3 & 3 & 4 & 4 & 5 & 5 \tabularnewline
TV4
 & 2 & 3 & 3 & 4 & 5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297515&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]TV1[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]TV2[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]TV3[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]TV4
[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297515&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
TV134455
TV244444
TV334455
TV4 23345







Boxplot Notches
Variablelower boundmedianupper bound
TV13.8486634469350644.15133655306494
TV2444
TV33.877368216938444.1226317830616
TV4 2.8746978494565333.12530215054347

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
TV1 & 3.84866344693506 & 4 & 4.15133655306494 \tabularnewline
TV2 & 4 & 4 & 4 \tabularnewline
TV3 & 3.8773682169384 & 4 & 4.1226317830616 \tabularnewline
TV4
 & 2.87469784945653 & 3 & 3.12530215054347 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297515&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]TV1[/C][C]3.84866344693506[/C][C]4[/C][C]4.15133655306494[/C][/ROW]
[ROW][C]TV2[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]TV3[/C][C]3.8773682169384[/C][C]4[/C][C]4.1226317830616[/C][/ROW]
[ROW][C]TV4
[/C][C]2.87469784945653[/C][C]3[/C][C]3.12530215054347[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297515&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297515&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
TV13.8486634469350644.15133655306494
TV2444
TV33.877368216938444.1226317830616
TV4 2.8746978494565333.12530215054347



Parameters (Session):
par1 = grey ; par2 = no ;
Parameters (R input):
par1 = grey ; par2 = no ;
R code (references can be found in the software module):
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')