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Author

*The author of this computation has been verified*

R Software Module

rwasp_notchedbox1.wasp

Title produced by software

Notched Boxplots

Date of computation

Wed, 14 Dec 2016 18:44:09 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/14/t1481737467nd987mxk0b5ke1e.htm/, Retrieved Fri, 01 Nov 2024 03:45:48 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=299659, Retrieved Fri, 01 Nov 2024 03:45:48 +0000

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Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Notched Boxplots] [] [2016-12-14 17:44:09] [eb4d84c1d87d55f0f7005df013db0044] [Current]

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Boxplots

4	3	3	3	3	4	3	4
5	4	4	3	5	5	5	4
4	5	5	3	5	4	4	4
NA	4	4	3	5	4	4	4
NA	4	4	4	4	4	3	4
5	3	5	3	5	5	5	5
5	3	5	NA	5	4	3	3
NA	4	5	3	5	5	5	4
NA	4	5	4	5	5	4	1
5	4	5	3	5	4	3	3
5	4	5	3	5	5	5	4
4	4	4	3	NA	4	5	3
4	4	4	4	5	5	5	5
4	3	4	3	5	5	4	4
4	4	4	4	4	4	3	4
5	4	5	3	3	4	4	3
NA	4	4	4	5	5	5	5
3	4	4	NA	5	4	3	4
NA	4	5	4	5	3	3	5
5	4	4	3	4	4	4	4
NA	4	4	3	2	5	1	2
5	4	4	3	5	5	4	5
NA	4	4	3	5	5	4	5
NA	4	5	4	5	5	4	2
NA	3	5	3	4	4	4	3
4	4	4	4	4	5	5	4
4	4	4	3	4	5	4	4
4	4	5	3	5	5	4	5
4	4	5	3	5	5	4	3
3	4	3	3	4	NA	4	2
4	3	5	3	5	5	4	5
5	4	4	4	5	5	5	5
NA	4	5	2	1	1	1	2
4	2	4	3	5	5	4	5
5	4	5	3	4	5	4	3
NA	4	4	3	4	4	4	3
3	3	4	4	4	4	4	4
2	4	4	4	5	5	4	4
5	4	5	4	4	4	5	3
NA	4	4	3	4	4	4	3
5	4	5	3	5	4	4	4
4	3	3	3	3	3	4	NA
4	4	5	3	5	5	5	5
4	4	4	3	5	5	5	4
3	4	5	3	2	2	1	2
NA	4	5	3	3	3	3	4
4	4	4	3	4	4	3	5
3	4	3	3	4	5	3	4
5	4	5	3	5	5	4	4
NA	5	5	3	5	5	5	3
NA	5	4	4	4	4	4	4
2	3	3	3	5	5	3	4
3	4	4	3	5	5	5	4
2	4	4	3	4	4	4	4
NA	4	4	3	5	5	4	5
5	5	4	3	4	5	3	1
4	4	4	4	4	4	4	4
NA	4	4	3	3	4	3	3
5	4	5	3	4	4	3	1
5	4	4	3	4	5	4	4
4	5	4	3	5	4	4	4
5	4	4	3	4	5	4	4
4	4	4	3	4	5	4	3
4	2	4	2	4	4	4	4
5	4	5	3	4	3	3	4
3	4	4	3	4	4	4	4
2	4	4	4	2	4	4	3
5	4	4	3	4	5	4	3
NA	4	4	3	4	4	3	3
NA	4	4	3	5	5	5	5
NA	4	3	3	3	3	3	3
NA	3	4	3	3	4	3	3
NA	5	4	4	5	4	5	4
4	4	4	3	4	3	3	4
5	3	5	3	5	5	5	4
3	4	4	3	4	5	4	5
2	4	4	5	4	3	3	4
5	4	5	3	5	5	3	5
NA	4	5	3	5	5	5	4
1	3	3	3	5	4	3	3
NA	4	5	3	4	4	3	3
5	4	4	4	5	4	4	4
NA	4	5	4	5	5	5	4
5	5	5	5	2	5	4	2
4	4	5	4	5	4	5	5
5	4	5	4	5	5	4	4
NA	4	4	3	5	5	5	5
5	4	4	4	5	4	4	2
5	4	2	3	4	4	4	3
NA	4	4	3	4	4	4	3
4	5	5	3	5	5	5	5
NA	4	5	3	4	4	4	3
4	5	5	3	5	5	5	4
NA	4	4	3	5	5	4	4
4	4	4	4	5	4	5	4
4	5	4	5	4	4	4	3
5	4	5	4	5	5	5	5
5	4	4	3	5	5	5	2
NA	4	NA	NA	3	4	2	3
NA	4	5	4	5	4	5	4
4	4	4	3	5	5	5	4
2	4	4	3	5	5	5	5
NA	4	4	3	4	3	NA	3
NA	4	5	4	4	4	5	4
NA	4	4	4	4	4	4	3
NA	4	5	3	4	4	4	4
NA	4	4	3	5	5	5	3
4	4	4	4	5	5	4	4
NA	4	4	4	4	4	2	4
NA	4	3	3	3	4	4	4
NA	4	4	3	3	4	3	2
3	3	3	3	4	4	5	4
5	4	5	NA	4	4	3	3
4	4	4	4	5	5	4	4
5	4	4	3	5	4	4	4
NA	4	5	4	4	4	5	4
5	4	4	3	5	5	5	5
3	4	4	3	5	4	4	3
4	4	4	3	4	4	3	3
3	4	4	3	4	4	3	4
NA	4	4	4	5	5	4	4
4	4	4	3	5	5	5	5
NA	4	5	4	5	5	3	4
4	4	4	3	5	5	3	4
5	4	4	3	4	5	4	4
NA	4	5	3	5	4	4	4
NA	4	4	3	3	4	4	4
NA	4	4	3	5	5	4	3
2	3	3	3	5	4	5	4
4	4	4	NA	4	5	4	4
4	5	4	5	5	5	5	5
NA	3	4	3	4	4	4	3
2	3	3	3	4	4	4	4
NA	4	4	NA	4	4	4	3
4	4	5	5	4	4	5	5
NA	NA	3	NA	2	3	2	4
4	4	4	3	4	4	4	3
5	5	5	4	5	4	5	4
4	5	5	3	5	5	5	5
NA	3	4	3	5	5	5	4
3	4	4	3	4	4	4	2
4	4	4	NA	4	5	4	3
3	4	3	3	5	4	4	2
4	5	5	3	5	4	4	4
2	4	4	4	5	4	5	4
5	5	5	4	5	5	5	5
4	3	4	3	5	3	5	4
NA	4	4	4	5	4	5	4
NA	3	3	3	4	4	4	3
4	4	4	4	5	4	4	3
5	4	4	3	3	3	3	2
4	4	4	3	3	4	4	4
2	4	3	3	4	5	4	5
NA	4	4	3	4	5	4	4
5	4	5	3	3	5	3	5
NA	4	3	3	3	4	3	2
NA	4	4	3	5	5	5	4
5	4	5	4	5	5	4	4
4	4	4	3	5	4	4	2
5	5	5	3	5	4	4	4
3	4	4	4	5	5	5	4
NA	4	4	3	5	4	5	4
4	NA	4	4	5	5	5	4
NA	3	4	3	5	4	5	2
4	4	4	4	4	4	4	4
NA	4	3	3	4	4	5	3
3	4	4	5	2	4	5	3

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big 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=299659&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=299659&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299659&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 Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
TVDC1	3	4	4	5	5
TVDC2	4	4	4	4	4
TVDC3	3	4	4	5	5
TVDC4	2	3	3	4	5
ITH1	3	4	5	5	5
ITH2	3	4	4	5	5
ITH3	3	4	4	5	5
ITH4	2	3	4	4	5

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
TVDC1 & 3 & 4 & 4 & 5 & 5 \tabularnewline
TVDC2 & 4 & 4 & 4 & 4 & 4 \tabularnewline
TVDC3 & 3 & 4 & 4 & 5 & 5 \tabularnewline
TVDC4 & 2 & 3 & 3 & 4 & 5 \tabularnewline
ITH1 & 3 & 4 & 5 & 5 & 5 \tabularnewline
ITH2 & 3 & 4 & 4 & 5 & 5 \tabularnewline
ITH3 & 3 & 4 & 4 & 5 & 5 \tabularnewline
ITH4 & 2 & 3 & 4 & 4 & 5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=299659&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]TVDC1[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]TVDC2[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]TVDC3[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]TVDC4[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]ITH1[/C][C]3[/C][C]4[/C][C]5[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]ITH2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]ITH3[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]ITH4[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=299659&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299659&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
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
TVDC1	3	4	4	5	5
TVDC2	4	4	4	4	4
TVDC3	3	4	4	5	5
TVDC4	2	3	3	4	5
ITH1	3	4	5	5	5
ITH2	3	4	4	5	5
ITH3	3	4	4	5	5
ITH4	2	3	4	4	5

Boxplot Notches
Variable	lower bound	median	upper bound
TVDC1	3.84866344693506	4	4.15133655306494
TVDC2	4	4	4
TVDC3	3.8773682169384	4	4.1226317830616
TVDC4	2.87469784945653	3	3.12530215054347
ITH1	4.8773682169384	5	5.1226317830616
ITH2	3.8773682169384	4	4.1226317830616
ITH3	3.8773682169384	4	4.1226317830616
ITH4	3.8773682169384	4	4.1226317830616

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
TVDC1 & 3.84866344693506 & 4 & 4.15133655306494 \tabularnewline
TVDC2 & 4 & 4 & 4 \tabularnewline
TVDC3 & 3.8773682169384 & 4 & 4.1226317830616 \tabularnewline
TVDC4 & 2.87469784945653 & 3 & 3.12530215054347 \tabularnewline
ITH1 & 4.8773682169384 & 5 & 5.1226317830616 \tabularnewline
ITH2 & 3.8773682169384 & 4 & 4.1226317830616 \tabularnewline
ITH3 & 3.8773682169384 & 4 & 4.1226317830616 \tabularnewline
ITH4 & 3.8773682169384 & 4 & 4.1226317830616 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=299659&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]TVDC1[/C][C]3.84866344693506[/C][C]4[/C][C]4.15133655306494[/C][/ROW]
[ROW][C]TVDC2[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]TVDC3[/C][C]3.8773682169384[/C][C]4[/C][C]4.1226317830616[/C][/ROW]
[ROW][C]TVDC4[/C][C]2.87469784945653[/C][C]3[/C][C]3.12530215054347[/C][/ROW]
[ROW][C]ITH1[/C][C]4.8773682169384[/C][C]5[/C][C]5.1226317830616[/C][/ROW]
[ROW][C]ITH2[/C][C]3.8773682169384[/C][C]4[/C][C]4.1226317830616[/C][/ROW]
[ROW][C]ITH3[/C][C]3.8773682169384[/C][C]4[/C][C]4.1226317830616[/C][/ROW]
[ROW][C]ITH4[/C][C]3.8773682169384[/C][C]4[/C][C]4.1226317830616[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=299659&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299659&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
Variable	lower bound	median	upper bound
TVDC1	3.84866344693506	4	4.15133655306494
TVDC2	4	4	4
TVDC3	3.8773682169384	4	4.1226317830616
TVDC4	2.87469784945653	3	3.12530215054347
ITH1	4.8773682169384	5	5.1226317830616
ITH2	3.8773682169384	4	4.1226317830616
ITH3	3.8773682169384	4	4.1226317830616
ITH4	3.8773682169384	4	4.1226317830616

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;

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')

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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code