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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationWed, 07 Nov 2018 11:09:30 +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/2018/Nov/07/t15415853880r7lbnnjskteeok.htm/, Retrieved Tue, 07 May 2024 12:34:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=315616, Retrieved Tue, 07 May 2024 12:34:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [les 6 - notched b...] [2018-11-07 10:09:30] [1a08508141e24091120553b77b30ae8d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10 10 36
8 15 32
6 14 33
10 14 39
8 8 34
10 19 39
7 17 36
10 18 33
6 10 30
7 15 39
9 16 37
6 12 37
7 13 35
6 10 32
4 14 36
6 15 36
8 20 41
9 9 36
8 12 37
6 13 29
6 16 39
10 12 37
8 14 32
8 15 36
7 19 43
4 16 30
9 16 33
8 14 28
10 14 30
8 14 28
6 13 39
7 18 34
8 15 34
5 15 29
10 15 32
2 13 33
6 14 27
7 15 35
5 14 38
8 19 40
7 16 34
7 16 34
10 12 26
7 10 39
6 11 34
10 13 39
6 14 26
5 11 30
8 11 34
8 16 34
5 9 29
8 16 41
10 19 43
7 13 31
7 15 33
7 14 34
7 15 30
2 11 23
4 14 29
6 15 35
7 17 40
9 16 27
9 13 30
4 15 27
9 14 29
9 15 33
8 14 32
7 12 33
9 12 36
7 15 34
6 17 45
7 13 30
2 5 22
3 7 24
4 10 25
5 15 26
2 9 27
6 9 27
8 15 35
5 14 36
4 11 32
10 18 35
10 20 35
10 20 36
9 16 37
5 15 33
5 14 25
7 13 35
10 18 37
9 14 36
8 12 35
8 9 29
8 19 35
8 13 31
8 12 30
7 14 37
6 6 36
8 14 35
2 11 32
5 11 34
4 14 37
9 12 36
10 19 39
6 13 37
4 14 31
10 17 40
6 12 38
7 16 35
7 15 38
8 15 32
6 15 41
5 16 28
6 15 40
7 12 25
6 13 28
9 14 37
9 17 37
7 14 40
6 14 26
7 14 30
7 15 32
8 11 31
7 11 28
8 16 34
7 12 39
4 12 33
10 19 43
8 18 37
8 16 31
2 16 31
6 13 34
4 11 32
4 10 27
9 14 34
2 14 28
6 14 32
7 16 39
4 10 28
10 16 39
3 7 32
7 16 36
4 15 31
8 17 39
4 11 23
5 11 25
6 10 32
5 13 32
9 14 36
6 13 39
8 13 31
4 12 32
4 10 28
8 15 34
4 6 28
10 15 38
8 15 35
5 11 32
3 14 26
7 14 32
6 16 28
5 12 31
5 15 33
9 20 38
2 12 38
7 9 36
7 13 31
5 15 36
9 19 43
4 11 37
5 11 28
9 17 35
7 15 34
6 14 40
8 15 31
7 11 41
6 12 35
8 15 38
6 16 37
7 16 31

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315616&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]3 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=315616&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315616&T=0

As an alternative you can also use a QR Code:  
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 time3 seconds
R ServerBig Analytics Cloud Computing Center






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Relative_Advantage257810
Perceived_Ease_of_Use7121415.520
System_Quality2230.5343745

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Relative_Advantage & 2 & 5 & 7 & 8 & 10 \tabularnewline
Perceived_Ease_of_Use & 7 & 12 & 14 & 15.5 & 20 \tabularnewline
System_Quality & 22 & 30.5 & 34 & 37 & 45 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315616&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]Relative_Advantage[/C][C]2[/C][C]5[/C][C]7[/C][C]8[/C][C]10[/C][/ROW]
[ROW][C]Perceived_Ease_of_Use[/C][C]7[/C][C]12[/C][C]14[/C][C]15.5[/C][C]20[/C][/ROW]
[ROW][C]System_Quality[/C][C]22[/C][C]30.5[/C][C]34[/C][C]37[/C][C]45[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=315616&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315616&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Relative_Advantage257810
Perceived_Ease_of_Use7121415.520
System_Quality2230.5343745






Boxplot Notches
Variablelower boundmedianupper bound
Relative_Advantage6.6457157660355877.35428423396442
Perceived_Ease_of_Use13.58666839370821414.4133316062918
System_Quality33.23238415974383434.7676158402562

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Relative_Advantage & 6.64571576603558 & 7 & 7.35428423396442 \tabularnewline
Perceived_Ease_of_Use & 13.5866683937082 & 14 & 14.4133316062918 \tabularnewline
System_Quality & 33.2323841597438 & 34 & 34.7676158402562 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315616&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]Relative_Advantage[/C][C]6.64571576603558[/C][C]7[/C][C]7.35428423396442[/C][/ROW]
[ROW][C]Perceived_Ease_of_Use[/C][C]13.5866683937082[/C][C]14[/C][C]14.4133316062918[/C][/ROW]
[ROW][C]System_Quality[/C][C]33.2323841597438[/C][C]34[/C][C]34.7676158402562[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=315616&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315616&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot Notches
Variablelower boundmedianupper bound
Relative_Advantage6.6457157660355877.35428423396442
Perceived_Ease_of_Use13.58666839370821414.4133316062918
System_Quality33.23238415974383434.7676158402562


Figures (Output of Computation)

Input Parameters & R Code

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')