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Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationTue, 10 Oct 2017 10:53:22 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Oct/10/t1507626038ltg4cpsv5qituvi.htm/, Retrieved Sun, 12 May 2024 21:59:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=307927, Retrieved Sun, 12 May 2024 21:59:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2017-10-10 08:53:22] [7b600e37b7623e0607d4fc29480a062d] [Current]
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Dataseries X:
25
25
25
25
29
30
30
29
35
30
30
30
29
30
30
26
30
30
30
35
30
30
30
50
25
29
30
25
30
30
25
42
29
15
29
30
25
20
10
30
29
30
50
25
30
30
25
50
29
30
30
30
30
30
30
29
35
40
29
26
23
25
30
30
30
30
20
29
25
25
28
30
30
25
30
31
30
29
45
30
30
35
30
30
25
50
40
20
35
22
30
25
30
30
29
50
45
30
26
30
29
35
20
29
25
30
45
35
30
30
40
20
26
29
20
25
30
30
25
30
23
25
30
30
40
30
40
35
40
30
25
33
30
30
30
35
33
35
30
40
29
25
27
30
30
35
20
30
30
25
25
30
30
30
40
40
30
40
20
50
20
30
30
30
30
25
30
30
30
30
30
30
23
30
25
50
20
23
25
29
26
40
30
30
35
20
29
25
30
30
30
50
30
35
30
30
30
35
30
35
15
30
20
35
40
30
30
40
29
30
20
35
50
30
30
40
30
50
18
15
30
23
29
30
35
30
23
30
25
26
25
30
20
25
30
29
40
30
30
30
40
37
20
25
30
32
35
32
30
30
35
30
25
30
24
30
35
30
30
30
30
30
25
30
25
35
30
30
30
30
30
30
35
32
30
20
20
30
35
30
40
29
26
40
25
35
30
23
30
27
35
30
20
30
25
50
30
30
29
35
29
25
30
45
30
25
29
25
40
30
30
40
30
30
29
35
35
30
30
27
30
30
29
50
30
30
20
25
25
30
27
29
50
50
30
30
40
20
30
30
30
25
30
30
30
30
40
25
35
30
30
35
20
20
50
35
29
50
40
30
45
30
40
30
29
25
40
35
25
21
30
30
30
30
15
30
30
30
30
30
25
30
30
30
30
25
25
40
30
33
40
26
30
37
25
29
30
25
29
30
30
30
30
30
22
25
30
40
30
29
25
30
30
29
30
30
30
35
30
35
30
12
15
25
30
30
30
25
20
30
35
35
29
40
30
40
30
25
30
20
29
28
30
25
30
50
30
30
29
30
35
20
30
30
30
30
30
40
30
30
35
25
30
50
30
30
30
30
25
30
30
30
25
30
30
30
25
30
30
26
30
30
30
30
25
20
30
35
30
20
20
25
30
30
30
30
29
35
25
30
30
35
35
30
20
30
30
30
25
30
30
26
30
25
30
50
30
20
29
30
30
30
30
30
40
30
35
27
30
25
29
25
30
25
30
29
25
20
30
25
32
30
29
30
30
30
30
25
25
30
30
60
20
30
35
25
30
25
30
40
25
30
29
29
30
29
26
18
30
40
30
30
30
30
30
29
30
30
30
35
30
30
30
20
29
20
30
30
25
30
40
30
30
25
40
30
30
29
25
30
35
30
20
30
20
25
30
40
25
47
20
20
30
30
25
30
25
40
29
40
29
30
30
30
35
30
20
30
24
30
40
30
30
15
35
18
30
25
30
30
30
15
20
30
25
30
20
30
30
30
25
40
50
30
30
35
30
30
15
30
25
30
30
26
30
25
25
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30
30
50
30
25
30
25
30
26
25
34
30
25
30
35
30
40
30
30
29
30
29
30
50
30
15
30
25
50
30
30
35
35
25
23
30
30
30
35
25
15
30
29
30
15
30
40
29
30
25
25
50
30
1
30
30
30
35
30
30
35
30
20
20
20
30
35
30
25
29
35
40
30
35
29
30
30
30
29
30
30
30
30
30
30
30
35
30
30
30
25
50
30
30
30
25
25
35
30
35
30
29
30
35
30
30
35
25
25
29
35
50
30
30
29
30
30
30
20
30
30
20
30
25
20
30
50
20
40
40
30
29
35
25
20
20
21
29
35
30
28
30
30
35
26
30
25
25
30
30
30
25
35
30
35
35
30
29
30
26
30
27
30
30
50
25
30
30
30
40
30
32
25
35
30
30
20
30
40
30
26
30
40
30
30
26
35
35
26
50
30
30
25
30
40
25
30
25
30
15
40
30
25
30
30
30
30
30
25
25
30
20
18
25
30
29
13
27
30
30
30
30
25
30
35
29
30
29
30
30
25
45
29
30
30
25
25
29
30
30
30
29
30
23
35
35
10
32
29
45
30
29
30
15
50
35
25
25
30
30
30
30
30
40
29
25
30
25
30
25
25
30
35
30
25
20
30
30
30
15
30
35
50
35
30
30
25
30
30
15
30
25
30
30
25
29
30
30
40
25
30
30
25
35
29
30
25
30
30
25
30
30
30
25
35
25
29
25
30
30
50
30
30
30
30
30
20
25
25
35
25
30
25
50
20
45
25
35
30
40
35
30
30
30
30
23
30
25
30
15




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=307927&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=307927&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307927&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
V12026303035

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
V1 & 20 & 26 & 30 & 30 & 35 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=307927&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]V1[/C][C]20[/C][C]26[/C][C]30[/C][C]30[/C][C]35[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=307927&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307927&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
V12026303035







Boxplot Notches
Variablelower boundmedianupper bound
V129.80191883150493030.1980811684951

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
V1 & 29.8019188315049 & 30 & 30.1980811684951 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=307927&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]V1[/C][C]29.8019188315049[/C][C]30[/C][C]30.1980811684951[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=307927&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307927&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
V129.80191883150493030.1980811684951



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')