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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationFri, 21 Dec 2012 11:44:38 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/21/t1356108299lygvx6pq9cebf17.htm/, Retrieved Sat, 20 Apr 2024 11:29:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=203935, Retrieved Sat, 20 Apr 2024 11:29:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact64
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2012-12-21 16:44:38] [ce0248448cbe5ad845933386ae480935] [Current]
- R  D    [Notched Boxplots] [] [2012-12-21 16:55:44] [c6facf0b6ae567d6b83e1aa51c1363be]
-    D      [Notched Boxplots] [] [2012-12-21 17:13:33] [c6facf0b6ae567d6b83e1aa51c1363be]
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Dataseries X:
26	21	21	23	17	23
20	16	15	24	17	20
19	19	18	22	18	20
19	18	11	20	21	21
20	16	8	24	20	24
25	23	19	27	28	22
25	17	4	28	19	23
22	12	20	27	22	20
26	19	16	24	16	25
22	16	14	23	18	23
17	19	10	24	25	27
22	20	13	27	17	27
19	13	14	27	14	22
24	20	8	28	11	24
26	27	23	27	27	25
21	17	11	23	20	22
13	8	9	24	22	28
26	25	24	28	22	28
20	26	5	27	21	27
22	13	15	25	23	25
14	19	5	19	17	16
21	15	19	24	24	28
7	5	6	20	14	21
23	16	13	28	17	24
17	14	11	26	23	27
25	24	17	23	24	14
25	24	17	23	24	14
19	9	5	20	8	27
20	19	9	11	22	20
23	19	15	24	23	21
22	25	17	25	25	22
22	19	17	23	21	21
21	18	20	18	24	12
15	15	12	20	15	20
20	12	7	20	22	24
22	21	16	24	21	19
18	12	7	23	25	28
20	15	14	25	16	23
28	28	24	28	28	27
22	25	15	26	23	22
18	19	15	26	21	27
23	20	10	23	21	26
20	24	14	22	26	22
25	26	18	24	22	21
26	25	12	21	21	19
15	12	9	20	18	24
17	12	9	22	12	19
23	15	8	20	25	26
21	17	18	25	17	22
13	14	10	20	24	28
18	16	17	22	15	21
19	11	14	23	13	23
22	20	16	25	26	28
16	11	10	23	16	10
24	22	19	23	24	24
18	20	10	22	21	21
20	19	14	24	20	21
24	17	10	25	14	24
14	21	4	21	25	24
22	23	19	12	25	25
24	18	9	17	20	25
18	17	12	20	22	23
21	27	16	23	20	21
23	25	11	23	26	16
17	19	18	20	18	17
22	22	11	28	22	25
24	24	24	24	24	24
21	20	17	24	17	23
22	19	18	24	24	25
16	11	9	24	20	23
21	22	19	28	19	28
23	22	18	25	20	26
22	16	12	21	15	22
24	20	23	25	23	19
24	24	22	25	26	26
16	16	14	18	22	18
16	16	14	17	20	18
21	22	16	26	24	25
26	24	23	28	26	27
15	16	7	21	21	12
25	27	10	27	25	15
18	11	12	22	13	21
23	21	12	21	20	23
20	20	12	25	22	22
17	20	17	22	23	21
25	27	21	23	28	24
24	20	16	26	22	27
17	12	11	19	20	22
19	8	14	25	6	28
20	21	13	21	21	26
15	18	9	13	20	10
27	24	19	24	18	19
22	16	13	25	23	22
23	18	19	26	20	21
16	20	13	25	24	24
19	20	13	25	22	25
25	19	13	22	21	21
19	17	14	21	18	20
19	16	12	23	21	21
26	26	22	25	23	24
21	15	11	24	23	23
20	22	5	21	15	18
24	17	18	21	21	24
22	23	19	25	24	24
20	21	14	22	23	19
18	19	15	20	21	20
18	14	12	20	21	18
24	17	19	23	20	20
24	12	15	28	11	27
22	24	17	23	22	23
23	18	8	28	27	26
22	20	10	24	25	23
20	16	12	18	18	17
18	20	12	20	20	21
25	22	20	28	24	25
18	12	12	21	10	23
16	16	12	21	27	27
20	17	14	25	21	24
19	22	6	19	21	20
15	12	10	18	18	27
19	14	18	21	15	21
19	23	18	22	24	24
16	15	7	24	22	21
17	17	18	15	14	15
28	28	9	28	28	25
23	20	17	26	18	25
25	23	22	23	26	22
20	13	11	26	17	24
17	18	15	20	19	21
23	23	17	22	22	22
16	19	15	20	18	23
23	23	22	23	24	22
11	12	9	22	15	20
18	16	13	24	18	23
24	23	20	23	26	25
23	13	14	22	11	23
21	22	14	26	26	22
16	18	12	23	21	25
24	23	20	27	23	26
23	20	20	23	23	22
18	10	8	21	15	24
20	17	17	26	22	24
9	18	9	23	26	25
24	15	18	21	16	20
25	23	22	27	20	26
20	17	10	19	18	21
21	17	13	23	22	26
25	22	15	25	16	21
22	20	18	23	19	22
21	20	18	22	20	16
21	19	12	22	19	26
22	18	12	25	23	28
27	22	20	25	24	18
24	20	12	28	25	25
24	22	16	28	21	23
21	18	16	20	21	21
18	16	18	25	23	20
16	16	16	19	27	25
22	16	13	25	23	22
20	16	17	22	18	21
18	17	13	18	16	16
20	18	17	20	16	18




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203935&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203935&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203935&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 time2 seconds
R Server'George Udny Yule' @ yule.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
I11118212328
I2816192228
I3411141824
E11521232528
E21018212428
E31521232528

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
I1 & 11 & 18 & 21 & 23 & 28 \tabularnewline
I2 & 8 & 16 & 19 & 22 & 28 \tabularnewline
I3 & 4 & 11 & 14 & 18 & 24 \tabularnewline
E1 & 15 & 21 & 23 & 25 & 28 \tabularnewline
E2 & 10 & 18 & 21 & 24 & 28 \tabularnewline
E3 & 15 & 21 & 23 & 25 & 28 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203935&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[/C][C]11[/C][C]18[/C][C]21[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]I2[/C][C]8[/C][C]16[/C][C]19[/C][C]22[/C][C]28[/C][/ROW]
[ROW][C]I3[/C][C]4[/C][C]11[/C][C]14[/C][C]18[/C][C]24[/C][/ROW]
[ROW][C]E1[/C][C]15[/C][C]21[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]E2[/C][C]10[/C][C]18[/C][C]21[/C][C]24[/C][C]28[/C][/ROW]
[ROW][C]E3[/C][C]15[/C][C]21[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203935&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203935&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
I11118212328
I2816192228
I3411141824
E11521232528
E21018212428
E31521232528







Boxplot Notches
Variablelower boundmedianupper bound
I120.37931738095852121.6206826190415
I218.25518085715021919.7448191428498
I313.13104433334191414.8689556666581
E122.50345390476682323.4965460952332
E220.25518085715022121.7448191428498
E322.50345390476682323.4965460952332

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
I1 & 20.3793173809585 & 21 & 21.6206826190415 \tabularnewline
I2 & 18.2551808571502 & 19 & 19.7448191428498 \tabularnewline
I3 & 13.1310443333419 & 14 & 14.8689556666581 \tabularnewline
E1 & 22.5034539047668 & 23 & 23.4965460952332 \tabularnewline
E2 & 20.2551808571502 & 21 & 21.7448191428498 \tabularnewline
E3 & 22.5034539047668 & 23 & 23.4965460952332 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203935&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[/C][C]20.3793173809585[/C][C]21[/C][C]21.6206826190415[/C][/ROW]
[ROW][C]I2[/C][C]18.2551808571502[/C][C]19[/C][C]19.7448191428498[/C][/ROW]
[ROW][C]I3[/C][C]13.1310443333419[/C][C]14[/C][C]14.8689556666581[/C][/ROW]
[ROW][C]E1[/C][C]22.5034539047668[/C][C]23[/C][C]23.4965460952332[/C][/ROW]
[ROW][C]E2[/C][C]20.2551808571502[/C][C]21[/C][C]21.7448191428498[/C][/ROW]
[ROW][C]E3[/C][C]22.5034539047668[/C][C]23[/C][C]23.4965460952332[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203935&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203935&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
I120.37931738095852121.6206826190415
I218.25518085715021919.7448191428498
I313.13104433334191414.8689556666581
E122.50345390476682323.4965460952332
E220.25518085715022121.7448191428498
E322.50345390476682323.4965460952332



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ;
R code (references can be found in the software module):
par1 <- 'grey'
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')