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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 computationTue, 22 Oct 2013 04:15:24 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/22/t138242975560ujnz5rtt1uh37.htm/, Retrieved Mon, 29 Apr 2024 07:46:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=217982, Retrieved Mon, 29 Apr 2024 07:46:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Workshop 3 vraag ...] [2013-10-22 08:15:24] [64878dc751ec35f6181432dc0b65413b] [Current]
- R  D    [Notched Boxplots] [Workshop 3 vraag 4] [2013-10-22 08:19:20] [a46b3fbd754cd1bc1ea91b4fc25aef96]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26 21 21 23 17 23 4
20 16 15 24 17 20 4
19 19 18 22 18 20 6
20 16 8 24 20 24 8
25 23 19 27 28 22 4
22 12 20 27 22 20 8
26 19 16 24 16 25 5
22 16 14 23 18 23 4
19 13 14 27 14 22 4
24 20 8 28 11 24 4
26 27 23 27 27 25 4
13 8 9 24 22 28 4
22 13 15 25 23 25 8
21 15 19 24 24 28 7
7 5 6 20 14 21 4
17 14 11 26 23 27 5
25 24 17 23 24 14 4
25 24 17 23 24 14 4
19 9 5 20 8 27 4
23 19 15 24 23 21 4
22 19 17 23 21 21 4
21 18 20 18 24 12 15
18 12 7 23 25 28 4
22 25 15 26 23 22 4
18 19 15 26 21 27 7
23 20 10 23 21 26 4
20 24 14 22 26 22 6
15 12 9 20 18 24 16
21 17 18 25 17 22 6
18 16 17 22 15 21 9
19 11 14 23 13 23 4
22 20 16 25 26 28 5
16 11 10 23 16 10 4
18 20 10 22 21 21 5
20 19 14 24 20 21 4
24 17 10 25 14 24 4
24 18 9 17 20 25 4
18 17 12 20 22 23 6
21 27 16 23 20 21 4
17 19 18 20 18 17 18
22 19 18 24 24 25 4
16 11 9 24 20 23 5
21 22 19 28 19 28 4
24 20 23 25 23 19 10
24 24 22 25 26 26 5
16 16 14 18 22 18 8
16 16 14 17 20 18 8
18 11 12 22 13 21 5
20 20 12 25 22 22 4
24 20 16 26 22 27 5
17 12 11 19 20 22 14
19 8 14 25 6 28 8
20 21 13 21 21 26 8
15 18 9 13 20 10 4
22 16 13 25 23 22 6
23 18 19 26 20 21 4
16 20 13 25 24 24 7
19 20 13 25 22 25 7
19 17 14 21 18 20 6
21 15 11 24 23 23 4
24 17 18 21 21 24 8
22 23 19 25 24 24 4
18 19 15 20 21 20 10
24 17 19 23 20 20 6
24 12 15 28 11 27 4
22 24 17 23 22 23 4
23 18 8 28 27 26 4
22 20 10 24 25 23 5
20 16 12 18 18 17 4
18 20 12 20 20 21 6
25 22 20 28 24 25 4
16 16 12 21 27 27 7
20 17 14 25 21 24 8
15 12 10 18 18 27 8
19 14 18 21 15 21 10
19 23 18 22 24 24 8
16 15 7 24 22 21 5
17 17 18 15 14 15 12
28 28 9 28 28 25 4
25 23 22 23 26 22 4
20 13 11 26 17 24 6
16 19 15 20 18 23 7
23 13 14 22 11 23 8
21 22 14 26 26 22 11
23 20 20 23 23 22 8
18 10 8 21 15 24 6
20 17 17 26 22 24 7
9 18 9 23 26 25 5
25 23 22 27 20 26 8
20 17 10 19 18 21 4
21 19 12 22 19 26 5
22 18 12 25 23 28 6
27 22 20 25 24 18 4
18 16 18 25 23 20 6
16 16 16 19 27 25 16
22 16 13 25 23 22 6
20 16 17 22 18 21 6
20 18 17 20 16 18 4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217982&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217982&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217982&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
I1_M1318202328
I2_M1016182025
I3_M511141823
E1_M1521232528
E2_M1118212328
E3_M1521232528
A_M445814

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
I1_M & 13 & 18 & 20 & 23 & 28 \tabularnewline
I2_M & 10 & 16 & 18 & 20 & 25 \tabularnewline
I3_M & 5 & 11 & 14 & 18 & 23 \tabularnewline
E1_M & 15 & 21 & 23 & 25 & 28 \tabularnewline
E2_M & 11 & 18 & 21 & 23 & 28 \tabularnewline
E3_M & 15 & 21 & 23 & 25 & 28 \tabularnewline
A_M & 4 & 4 & 5 & 8 & 14 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217982&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]I1_M[/C][C]13[/C][C]18[/C][C]20[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]I2_M[/C][C]10[/C][C]16[/C][C]18[/C][C]20[/C][C]25[/C][/ROW]
[ROW][C]I3_M[/C][C]5[/C][C]11[/C][C]14[/C][C]18[/C][C]23[/C][/ROW]
[ROW][C]E1_M[/C][C]15[/C][C]21[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]E2_M[/C][C]11[/C][C]18[/C][C]21[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]E3_M[/C][C]15[/C][C]21[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]A_M[/C][C]4[/C][C]4[/C][C]5[/C][C]8[/C][C]14[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217982&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217982&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
I1_M1318202328
I2_M1016182025
I3_M511141823
E1_M1521232528
E2_M1118212328
E3_M1521232528
A_M445814






Boxplot Notches
Variablelower boundmedianupper bound
I1_M19.20197948980382020.7980205101962
I2_M17.3615835918431818.638416408157
I3_M12.88277128572531415.1172287142747
E1_M22.3615835918432323.638416408157
E2_M20.20197948980382121.7980205101962
E3_M22.3615835918432323.638416408157
A_M4.36158359184355.638416408157

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
I1_M & 19.2019794898038 & 20 & 20.7980205101962 \tabularnewline
I2_M & 17.361583591843 & 18 & 18.638416408157 \tabularnewline
I3_M & 12.8827712857253 & 14 & 15.1172287142747 \tabularnewline
E1_M & 22.361583591843 & 23 & 23.638416408157 \tabularnewline
E2_M & 20.2019794898038 & 21 & 21.7980205101962 \tabularnewline
E3_M & 22.361583591843 & 23 & 23.638416408157 \tabularnewline
A_M & 4.361583591843 & 5 & 5.638416408157 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217982&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]I1_M[/C][C]19.2019794898038[/C][C]20[/C][C]20.7980205101962[/C][/ROW]
[ROW][C]I2_M[/C][C]17.361583591843[/C][C]18[/C][C]18.638416408157[/C][/ROW]
[ROW][C]I3_M[/C][C]12.8827712857253[/C][C]14[/C][C]15.1172287142747[/C][/ROW]
[ROW][C]E1_M[/C][C]22.361583591843[/C][C]23[/C][C]23.638416408157[/C][/ROW]
[ROW][C]E2_M[/C][C]20.2019794898038[/C][C]21[/C][C]21.7980205101962[/C][/ROW]
[ROW][C]E3_M[/C][C]22.361583591843[/C][C]23[/C][C]23.638416408157[/C][/ROW]
[ROW][C]A_M[/C][C]4.361583591843[/C][C]5[/C][C]5.638416408157[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217982&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217982&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
I1_M19.20197948980382020.7980205101962
I2_M17.3615835918431818.638416408157
I3_M12.88277128572531415.1172287142747
E1_M22.3615835918432323.638416408157
E2_M20.20197948980382121.7980205101962
E3_M22.3615835918432323.638416408157
A_M4.36158359184355.638416408157


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ;
R code (references can be found in the software module):
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,hyperlink('overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('upper_whisker.htm','upper whisker','definition of 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')