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Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationTue, 02 Dec 2014 14:13:16 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/02/t1417529628vfql4roha36usxv.htm/, Retrieved Thu, 16 May 2024 18:58:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=262649, Retrieved Thu, 16 May 2024 18:58:56 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [Academic Motivati...] [2010-10-12 12:51:42] [b98453cac15ba1066b407e146608df68]
- RMPD  [Notched Boxplots] [boxplot] [2014-12-02 12:25:06] [15866c21ed6246d5efde5ff3ba421193]
-   PD    [Notched Boxplots] [boxplot 3] [2014-12-02 12:41:06] [15866c21ed6246d5efde5ff3ba421193]
-    D      [Notched Boxplots] [nb] [2014-12-02 13:10:20] [15866c21ed6246d5efde5ff3ba421193]
-    D          [Notched Boxplots] [hh] [2014-12-02 14:13:16] [69667246dd207ce9acb00bd9a43352d5] [Current]
-    D            [Notched Boxplots] [bachelor] [2014-12-17 12:37:23] [15866c21ed6246d5efde5ff3ba421193]
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Dataseries X:
21	19	18	23	23	23	7
19	19	13	16	16	16	5
27	24	6	25	26	18	8
13	7	10	15	25	28	8
17	17	12	25	23	26	5
18	23	10	22	24	21	4
20	23	13	19	26	20	4
22	21	15	22	20	21	11
18	18	8	24	24	26	5
6	4	4	10	14	15	22
22	27	4	24	28	16	4
15	18	9	23	25	21	4
17	15	12	22	19	22	5
10	14	6	24	22	24	16
21	14	11	23	21	24	5
23	17	10	27	21	22	6
18	20	16	28	23	27	5
20	16	12	21	16	22	4
27	16	12	23	15	24	4
13	11	11	25	24	26	4
20	21	14	23	25	26	7
20	10	11	22	23	28	4
22	18	19	23	19	20	8
20	18	16	22	24	23	7
24	21	21	27	14	24	4
23	16	16	24	20	23	6
19	15	11	24	23	26	5
22	17	12	20	12	20	8
24	15	8	19	22	20	8
21	12	9	23	18	12	4
19	20	14	21	21	21	7
20	20	13	27	23	28	4
16	18	7	19	22	24	13
17	21	17	25	28	24	4
25	22	8	25	20	24	4
16	21	9	24	22	22	4
23	25	15	26	24	26	4
20	12	11	21	19	23	7
23	22	20	22	9	10	5
22	24	13	26	23	27	4
15	17	7	20	23	24	5
16	20	8	21	22	26	12
23	19	15	28	23	22	4
25	25	19	25	17	21	4
14	27	5	27	23	28	4
18	17	11	18	19	19	7
15	17	8	14	15	27	13
27	24	19	25	22	17	4
22	18	14	23	25	20	4
26	27	24	24	27	24	4
25	23	12	19	16	20	4
19	21	10	19	22	25	4
19	25	22	23	27	25	4
24	18	18	23	28	26	4
19	22	10	20	22	19	4
25	24	20	23	25	23	4
20	23	17	22	25	25	6
17	24	17	23	24	19	5
13	16	10	22	21	23	6
20	16	15	21	18	24	13
20	18	14	22	17	21	4
24	17	8	26	17	21	7
25	21	17	24	26	24	5
20	15	16	24	25	22	4
20	19	13	26	22	21	4
20	18	14	26	24	27	6
11	14	6	22	20	28	5
23	20	18	27	26	24	4
19	19	16	24	23	21	5
26	22	24	23	24	18	4
26	22	17	24	21	24	5
20	20	16	11	19	20	8
23	22	18	25	22	25	4
19	21	5	19	22	23	4
23	19	10	25	26	25	4
27	24	17	28	25	26	4
16	17	12	18	14	23	4
26	22	22	23	21	18	4
26	24	19	24	21	24	4
20	20	6	25	18	25	8
12	20	7	24	25	26	4
20	19	15	21	20	23	6
18	13	10	19	21	23	12
28	22	18	25	22	20	5
24	20	19	23	15	20	9
24	21	12	25	21	25	12
24	21	16	26	25	28	4
12	15	12	18	16	19	16
23	20	16	22	17	18	4
16	23	12	22	23	22	6
18	18	15	18	19	21	4
25	23	17	25	24	25	5
18	18	14	21	19	22	5
7	10	4	19	12	23	4
19	17	11	21	16	25	4
17	13	7	22	17	25	9
20	20	18	27	20	19	4
19	18	14	23	19	24	4
10	19	11	21	20	22	12
25	21	18	26	20	20	4
23	19	16	28	24	26	5
23	22	11	28	28	28	4
23	21	19	21	24	22	6
20	20	20	24	14	20	5
24	23	17	28	22	25	4
17	18	12	21	18	16	6
21	15	10	26	23	23	4
22	19	9	20	13	21	5
14	16	16	19	20	19	14
19	17	8	23	24	20	4
21	26	11	26	24	27	4
24	23	11	19	27	26	4
11	8	6	15	14	23	6
21	19	16	27	21	28	4
22	20	14	26	23	23	5
22	21	16	25	25	27	4
19	16	11	26	20	18	5
15	17	17	24	26	21	17
20	17	16	25	22	26	4
22	18	18	23	24	28	5
20	19	15	19	21	18	10
18	19	15	19	13	19	5
20	24	15	28	21	26	4
NA	NA	NA	NA	NA	NA	NA
NA	NA	NA	NA	NA	NA	NA
21	22	10	24	24	23	5
NA	NA	NA	NA	NA	NA	NA
NA	NA	NA	NA	NA	NA	NA
NA	NA	NA	NA	NA	NA	NA
NA	NA	NA	NA	NA	NA	NA
NA	NA	NA	NA	NA	NA	NA




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net
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 Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \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=262649&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[ROW][C]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=262649&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262649&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net
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
AMS.I11118202328
AMS.I21017192227
AMS.I34101316.524
AMS.E11521232528
AMS.E21219222428
AMS.E31520232528
AMS.A 44569

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
AMS.I1 & 11 & 18 & 20 & 23 & 28 \tabularnewline
AMS.I2 & 10 & 17 & 19 & 22 & 27 \tabularnewline
AMS.I3 & 4 & 10 & 13 & 16.5 & 24 \tabularnewline
AMS.E1 & 15 & 21 & 23 & 25 & 28 \tabularnewline
AMS.E2 & 12 & 19 & 22 & 24 & 28 \tabularnewline
AMS.E3 & 15 & 20 & 23 & 25 & 28 \tabularnewline
AMS.A
 & 4 & 4 & 5 & 6 & 9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262649&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]AMS.I1[/C][C]11[/C][C]18[/C][C]20[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]AMS.I2[/C][C]10[/C][C]17[/C][C]19[/C][C]22[/C][C]27[/C][/ROW]
[ROW][C]AMS.I3[/C][C]4[/C][C]10[/C][C]13[/C][C]16.5[/C][C]24[/C][/ROW]
[ROW][C]AMS.E1[/C][C]15[/C][C]21[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]AMS.E2[/C][C]12[/C][C]19[/C][C]22[/C][C]24[/C][C]28[/C][/ROW]
[ROW][C]AMS.E3[/C][C]15[/C][C]20[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]AMS.A
[/C][C]4[/C][C]4[/C][C]5[/C][C]6[/C][C]9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262649&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262649&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
AMS.I11118202328
AMS.I21017192227
AMS.I34101316.524
AMS.E11521232528
AMS.E21219222428
AMS.E31520232528
AMS.A 44569







Boxplot Notches
Variablelower boundmedianupper bound
AMS.I119.29055905699422020.7094409430058
AMS.I218.29055905699421919.7094409430058
AMS.I312.07772677409251313.9222732259075
AMS.E122.43244724559542323.5675527544046
AMS.E221.29055905699422222.7094409430058
AMS.E322.29055905699422323.7094409430058
AMS.A 4.716223622797755.2837763772023

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
AMS.I1 & 19.2905590569942 & 20 & 20.7094409430058 \tabularnewline
AMS.I2 & 18.2905590569942 & 19 & 19.7094409430058 \tabularnewline
AMS.I3 & 12.0777267740925 & 13 & 13.9222732259075 \tabularnewline
AMS.E1 & 22.4324472455954 & 23 & 23.5675527544046 \tabularnewline
AMS.E2 & 21.2905590569942 & 22 & 22.7094409430058 \tabularnewline
AMS.E3 & 22.2905590569942 & 23 & 23.7094409430058 \tabularnewline
AMS.A
 & 4.7162236227977 & 5 & 5.2837763772023 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262649&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]AMS.I1[/C][C]19.2905590569942[/C][C]20[/C][C]20.7094409430058[/C][/ROW]
[ROW][C]AMS.I2[/C][C]18.2905590569942[/C][C]19[/C][C]19.7094409430058[/C][/ROW]
[ROW][C]AMS.I3[/C][C]12.0777267740925[/C][C]13[/C][C]13.9222732259075[/C][/ROW]
[ROW][C]AMS.E1[/C][C]22.4324472455954[/C][C]23[/C][C]23.5675527544046[/C][/ROW]
[ROW][C]AMS.E2[/C][C]21.2905590569942[/C][C]22[/C][C]22.7094409430058[/C][/ROW]
[ROW][C]AMS.E3[/C][C]22.2905590569942[/C][C]23[/C][C]23.7094409430058[/C][/ROW]
[ROW][C]AMS.A
[/C][C]4.7162236227977[/C][C]5[/C][C]5.2837763772023[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262649&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262649&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
AMS.I119.29055905699422020.7094409430058
AMS.I218.29055905699421919.7094409430058
AMS.I312.07772677409251313.9222732259075
AMS.E122.43244724559542323.5675527544046
AMS.E221.29055905699422222.7094409430058
AMS.E322.29055905699422323.7094409430058
AMS.A 4.716223622797755.2837763772023



Parameters (Session):
par1 = blue ;
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')