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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 computationSun, 30 Nov 2014 20:17:00 +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/Nov/30/t1417381589dtu7r1w0iqg9kxw.htm/, Retrieved Sat, 18 May 2024 09:32:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=261665, Retrieved Sat, 18 May 2024 09:32:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Percentiles] [Intrinsic Motivat...] [2010-10-12 12:10:58] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kernel Density Estimation] [] [2011-10-18 22:42:23] [b98453cac15ba1066b407e146608df68]
- RMPD    [Percentiles] [] [2011-10-18 22:46:45] [b98453cac15ba1066b407e146608df68]
- RMPD      [Notched Boxplots] [] [2011-10-18 22:58:56] [b98453cac15ba1066b407e146608df68]
- RMPD          [Notched Boxplots] [Notched boxplot v...] [2014-11-30 20:17:00] [1e9ea55ca500335a50defe307678d583] [Current]
- RMPD            [Multiple Regression] [onderzoeksvraag 4...] [2014-12-07 15:54:21] [9bd698ecfffbb3f270ebcac6c258c074]
- RMPD            [Multiple Regression] [Onderzoeksvraag 4.2] [2014-12-07 16:00:28] [9bd698ecfffbb3f270ebcac6c258c074]
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Dataseries X:
19	11	18	8	20	7	23	18	20	12	19	20
24	15	24	18	19	18	22	23	25	20	24	25
15	16	16	12	12	9	19	22	15	14	20	18
17	19	19	16	16	17	25	28	20	21	20	24
19	24	15	22	9	12	16	26	15	24	21	23
28	25	28	25	28	18	28	28	28	23	28	24
26	22	21	20	20	20	21	24	11	24	10	24
15	21	18	19	16	16	22	26	22	20	22	24
26	27	22	26	22	21	24	28	22	25	19	28
16	22	19	19	17	17	24	24	27	21	27	26
15	20	16	18	12	13	20	20	21	21	25	20
22	21	18	20	16	12	21	26	19	25	21	25
26	8	24	15	15	6	27	23	16	23	28	24
26	22	20	19	17	13	23	21	24	19	22	20
21	23	19	19	17	12	24	23	22	24	26	23
22	19	23	18	18	10	22	24	25	28	21	24
20	24	18	22	15	22	21	23	23	22	26	22
21	25	16	22	20	20	25	25	20	26	23	25
22	13	21	20	21	8	21	24	22	24	24	27
18	20	27	14	6	11	27	24	27	21	23	18
20	22	19	19	19	15	27	27	21	19	24	24
24	15	7	16	12	10	25	25	19	24	25	26
17	19	20	16	14	18	23	21	25	16	23	23
20	22	20	22	13	22	25	27	16	23	21	23
20	16	19	14	17	7	19	24	24	18	21	22
22	20	20	15	19	16	22	23	18	18	18	18
15	21	14	14	10	16	19	24	15	21	18	19
20	20	17	20	11	16	21	21	17	20	21	19
22	18	17	14	11	5	27	27	18	25	23	26
17	16	8	16	10	10	25	25	26	17	25	25
14	24	9	26	7	16	25	24	18	24	22	18
17	13	20	13	12	8	17	25	19	21	23	22
23	20	20	15	18	14	28	23	17	18	24	25
16	22	22	18	9	15	20	25	21	22	22	26
18	19	22	21	16	9	25	26	26	20	24	26
20	15	16	18	14	7	21	16	21	21	21	22
18	22	14	25	11	16	24	25	12	25	24	28
23	20	24	20	20	16	28	23	20	23	25	22
24	21	21	19	17	14	20	26	20	21	23	26
23	11	20	16	14	5	19	20	24	22	27	23
20	22	18	23	16	22	21	24	22	24	23	23
19	22	19	23	10	21	23	27	20	23	20	26
22	19	24	19	15	13	18	22	23	18	23	23
17	25	16	15	10	15	20	22	21	14	20	23
20	21	14	18	10	11	23	25	17	20	22	28
21	22	21	18	16	20	24	23	20	19	17	24
21	21	15	22	10	13	27	24	19	18	20	20
23	22	21	23	22	18	23	24	17	22	16	23
15	24	17	16	13	12	22	26	20	11	24	20
22	23	19	20	18	16	24	28	15	15	14	20
17	20	13	18	8	14	19	19	17	21	23	25
19	18	18	13	16	13	23	19	22	9	26	19
21	22	17	19	21	19	26	26	21	21	24	21
21	21	20	22	17	16	23	22	20	24	21	25
24	22	18	19	18	14	26	26	18	18	22	15
19	22	18	21	15	12	22	22	20	23	20	23
14	17	12	14	8	10	20	20	21	13	24	15
25	19	22	16	22	16	27	20	20	19	21	20
17	20	18	21	13	11	22	18	15	22	23	20
20	19	20	16	18	15	21	18	22	21	22	20
22	24	20	25	15	11	24	28	21	23	23	28
15	13	16	9	11	7	26	22	17	15	21	22
23	22	22	22	19	11	24	20	23	25	27	26
20	23	19	22	19	19	24	22	22	14	23	21
16	19	6	12	4	9	25	21	16	21	27	24
25	18	19	17	17	11	27	24	18	18	27	21
18	21	24	10	10	12	19	24	25	12	23	22
23	17	18	24	20	10	23	17	21	17	22	14
20	21	17	18	15	13	22	21	14	24	15	28
6	26	6	21	4	19	24	24	5	15	27	22
15	19	22	21	9	21	19	22	25	22	23	24
18	21	20	17	18	13	25	24	21	17	23	21
22	11	16	7	17	7	18	19	20	18	18	25
21	19	17	14	12	13	24	25	9	23	22	21
20	20	23	18	17	12	23	24	23	13	21	21
25	17	22	14	20	8	27	21	24	18	25	19
16	21	20	20	16	17	24	23	16	21	24	28
20	23	20	17	15	18	26	23	20	16	22	23
14	22	13	21	10	17	21	23	15	17	28	25
22	22	16	23	16	17	25	23	18	20	22	26
26	21	25	24	21	18	28	23	22	18	21	25
20	22	16	21	15	21	19	21	21	23	23	22
17	20	15	8	16	10	20	25	21	9	19	21
22	19	19	18	9	11	27	22	20	27	25	23
20	16	24	17	19	15	23	23	24	22	23	17
17	19	9	16	7	12	18	27	15	12	28	25
22	23	22	22	23	21	23	27	24	18	14	19
17	23	15	20	14	15	21	24	18	22	23	22
22	15	22	20	10	9	23	23	24	22	24	25
25	21	24	8	12	14	21	25	15	19	15	25
11	20	12	13	10	12	14	25	19	24	23	24
19	22	21	20	7	18	24	24	20	27	26	23
24	22	25	22	20	11	26	27	26	25	21	26
17	23	26	19	9	14	24	25	26	24	26	26
26	24	28	11	19	8	20	14	16	16	16	20
21	18	16	21	14	12	25	21	11	24	21	20
21	21	21	20	14	17	23	28	18	24	19	26
19	20	22	21	15	23	20	26	19	26	21	26
24	16	20	19	22	16	27	23	8	23	27	24
28	18	19	18	19	11	24	21	15	21	20	21
27	23	24	20	22	16	23	26	21	19	17	18
23	20	18	19	17	12	26	24	18	20	25	23
22	24	22	23	17	17	18	23	24	18	17	25
15	25	18	16	17	11	23	22	20	20	23	20
20	23	23	20	11	13	21	26	22	24	24	23
28	27	28	26	24	18	24	22	26	26	25	21
19	19	21	18	16	13	24	28	23	28	22	28
22	16	21	18	13	13	23	21	19	23	16	14
21	16	20	13	15	14	21	26	21	12	18	19
20	23	18	21	15	19	24	27	23	20	27	21
19	20	17	23	11	8	19	22	19	23	17	24
17	4	17	11	13	7	23	15	16	20	24	25
21	22	23	20	7	17	18	22	23	20	27	24
12	23	14	26	9	17	20	27	23	28	19	26
20	20	21	21	12	12	27	24	20	25	25	23
18	20	14	18	14	16	19	26	19	24	24	24
21	21	24	16	22	16	25	24	26	18	24	23
24	19	16	7	19	10	25	22	9	8	24	21
17	27	17	21	16	28	17	28	13	27	17	25
8	20	17	20	22	19	5	28	6	20	8	26
22	21	21	17	20	17	19	24	17	23	14	23
17	23	19	19	15	16	28	24	23	24	28	21
25	16	19	16	11	12	27	20	20	15	24	20
18	20	11	20	9	17	16	26	17	22	15	23
23	27	15	24	18	6	23	25	18	26	25	18
21	22	18	21	11	15	26	22	20	20	28	21
21	6	19	4	14	4	24	10	18	14	24	15
24	22	23	27	10	4	23	24	23	28	25	16
17	19	16	20	16	10	19	22	12	21	22	25
15	22	11	19	11	21	19	26	16	22	25	19
22	10	21	14	16	6	24	24	24	22	22	24
19	21	14	18	13	17	20	26	23	17	26	23
19	20	20	16	14	12	19	21	19	16	21	22
19	27	19	16	10	12	23	23	28	15	21	24
22	13	21	11	19	11	25	25	23	24	23	26
23	20	22	10	17	11	25	22	23	23	26	28
25	19	23	15	19	11	27	24	28	23	25	26
20	24	18	15	12	8	26	19	21	22	26	20
23	19	23	20	8	14	23	21	25	21	19	21
21	20	20	20	17	13	22	27	18	23	21	28
23	16	23	18	17	7	22	19	28	22	24	24
11	17	13	21	7	17	17	25	9	28	6	24
21	25	21	22	23	8	25	25	22	20	22	24
21	16	19	21	17	9	22	24	18	22	24	22
22	22	19	24	13	13	21	26	22	23	17	27
21	15	18	17	8	7	24	20	15	23	20	24
22	16	19	20	16	8	26	21	24	22	28	26
18	20	10	20	13	20	24	21	12	20	24	18
24	23	24	19	15	15	22	28	25	23	21	22
20	14	21	27	15	5	23	27	24	23	26	28
18	22	18	18	14	13	23	26	18	24	26	18
14	22	16	18	11	14	20	23	22	25	23	20
17	16	20	18	19	11	25	20	25	23	24	24
18	25	12	23	12	12	21	19	14	16	20	20
19	20	15	18	18	9	17	25	16	24	16	24
15	19	14	21	15	10	20	19	13	22	20	25
24	19	18	25	20	22	22	23	19	27	23	25
19	24	19	18	12	18	23	23	16	28	18	26
23	18	24	20	19	15	21	24	23	25	23	26
23	13	21	11	18	10	24	22	20	21	26	14
17	17	22	24	8	17	25	23	26	24	24	19
22	20	20	18	18	14	21	22	21	17	23	21
16	24	16	17	13	8	16	26	25	17	24	21
21	25	19	21	18	17	23	24	23	26	23	24
19	19	19	15	13	10	16	28	16	8	16	23
13	20	7	19	10	13	15	26	25	22	28	21
17	22	17	21	12	17	25	20	23	20	26	23
18	18	23	19	10	16	22	26	24	22	21	25
20	21	23	19	13	13	19	21	26	17	20	17
18	20	18	18	8	14	24	26	24	24	26	27
15	11	18	14	9	6	23	22	25	20	21	28
17	15	15	19	12	15	22	23	19	20	22	23
21	23	14	20	11	18	23	27	21	26	24	24
23	23	17	20	10	19	27	28	21	24	22	26
18	20	20	19	16	14	28	28	23	17	27	27
20	20	21	20	14	16	23	11	25	19	26	20
22	23	18	22	19	18	23	25	19	22	20	25
20	24	18	22	16	16	22	25	24	23	23	23
24	26	21	24	21	16	27	28	14	27	24	25
23	19	16	21	16	5	24	19	20	22	23	23
22	25	17	22	12	11	20	25	12	25	20	19
21	19	12	18	9	16	23	25	18	22	12	28
23	27	25	24	15	17	26	28	24	25	26	26
20	24	12	21	11	13	21	27	19	8	23	25
23	22	22	20	20	16	22	21	9	17	10	15
24	26	24	24	19	19	24	24	24	21	24	24
17	20	18	20	17	6	19	25	17	18	16	25
19	27	15	21	18	16	23	26	19	24	23	23
25	20	25	19	19	15	25	21	17	20	21	23
18	24	17	21	11	16	18	26	19	25	19	28
15	26	17	23	8	20	14	27	15	28	27	21
27	23	24	22	19	19	25	23	22	22	17	21
26	23	27	20	24	16	24	22	27	17	24	18
14	18	19	18	8	15	17	18	23	19	25	21
19	25	22	23	10	17	20	25	22	24	19	25
25	19	24	17	20	11	23	21	25	16	23	25
20	20	23	20	17	18	22	27	25	20	25	19
17	19	16	18	12	14	20	23	19	19	23	24
13	18	16	11	10	12	22	22	21	20	23	23
20	25	16	21	15	18	21	26	18	20	24	20
20	21	15	20	16	9	24	28	25	21	22	28
18	19	17	22	16	14	21	24	19	22	24	19
22	22	25	20	18	17	25	23	26	21	27	23
21	24	14	28	16	25	25	28	13	28	22	28
18	20	20	20	20	20	23	24	21	14	24	20
19	24	19	23	16	17	24	28	23	22	21	25
23	21	18	15	11	10	21	26	16	23	23	23
26	23	22	19	24	12	23	25	24	24	18	26
19	19	18	21	13	16	21	25	18	24	25	23
26	22	22	24	17	19	24	27	21	24	24	24
23	22	18	20	9	14	28	26	22	23	24	23
23	19	19	21	10	16	25	25	26	24	25	23
23	22	21	18	15	18	26	23	23	24	24	28
20	13	20	18	12	11	24	16	24	22	28	28
16	26	17	24	12	19	18	26	14	23	23	24
26	21	22	15	22	15	23	24	21	20	18	26
24	25	24	17	23	22	26	21	25	19	27	24
20		19		19		23		20		24	
12		20		7		24		25		26	
21		16		9		20		20		19	
26		22		19		27		22		21	
17		19		8		21		16		22	
18		13		10		19		21		23	
28		22		18		25		22		20	
24		20		19		23		15		20	
24		21		12		25		21		25	
12		15		12		18		16		19	
13		15		10		20		19		25	
16		23		12		22		23		22	
23		21		15		23		28		21	
18		16		13		21		16		20	
18		18		14		21		19		22	
21		18		18		28		19		27	
7		10		4		19		12		23	
21		20		10		23		15		28	
17		13		7		22		17		25	
22		25		20		27		23		24	
15		18		10		23		21		27	
10		19		11		21		20		22	
25		17		16		26		23		21	
23		22		19		23		22		21	
23		19		16		28		24		26	
23		21		15		26		23		23	
23		21		14		28		26		18	
15		15		11		21		16		21	
23		22		11		28		28		28	
23		21		19		21		24		22	
23		20		15		24		16		23	
17		18		12		21		18		16	
19		19		24		22		18		18	
23		21		16		25		22		22	
22		19		9		20		13		21	
14		16		16		19		20		19	
19		17		8		23		24		20	
21		26		11		26		24		27	
23		20		13		28		25		27	
16		13		14		24		23		20	
19		21		14		24		22		25	
26		23		17		28		24		27	
22		20		20		23		25		28	
24		23		11		19		27		26	
24		24		19		27		27		27	
11		8		6		15		14		23	
21		19		16		27		21		28	
21		18		14		21		17		22	
22		21		16		25		25		27	
19		16		11		26		20		18	
18		17		14		24		21		22	
27		27		22		27		27		25	
14		12		7		14		12		14	
15		17		17		24		26		21	
20		17		16		25		22		26	
26		24		22		24		24		22	
20		18		13		22		20		24	
19		18		14		26		22		26	
20		19		15		19		21		18	
18		19		15		19		13		19	
20		24		15		28		21		26	
26		22		19		20		18		12	
20		20		18		26		25		26	
21		22		10		24		24		23	




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=261665&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=261665&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=261665&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
I1M1118202328
I1F1519202226
I2M916192128
I2F1017202228
I3M412161928
I3F411151828
E1M1420232528
E1F1421242628
E2M817202328
E2F1219222428
E3M1420232428
E3F 1521232528

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
I1M & 11 & 18 & 20 & 23 & 28 \tabularnewline
I1F & 15 & 19 & 20 & 22 & 26 \tabularnewline
I2M & 9 & 16 & 19 & 21 & 28 \tabularnewline
I2F & 10 & 17 & 20 & 22 & 28 \tabularnewline
I3M & 4 & 12 & 16 & 19 & 28 \tabularnewline
I3F & 4 & 11 & 15 & 18 & 28 \tabularnewline
E1M & 14 & 20 & 23 & 25 & 28 \tabularnewline
E1F & 14 & 21 & 24 & 26 & 28 \tabularnewline
E2M & 8 & 17 & 20 & 23 & 28 \tabularnewline
E2F & 12 & 19 & 22 & 24 & 28 \tabularnewline
E3M & 14 & 20 & 23 & 24 & 28 \tabularnewline
E3F
 & 15 & 21 & 23 & 25 & 28 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=261665&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]I1M[/C][C]11[/C][C]18[/C][C]20[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]I1F[/C][C]15[/C][C]19[/C][C]20[/C][C]22[/C][C]26[/C][/ROW]
[ROW][C]I2M[/C][C]9[/C][C]16[/C][C]19[/C][C]21[/C][C]28[/C][/ROW]
[ROW][C]I2F[/C][C]10[/C][C]17[/C][C]20[/C][C]22[/C][C]28[/C][/ROW]
[ROW][C]I3M[/C][C]4[/C][C]12[/C][C]16[/C][C]19[/C][C]28[/C][/ROW]
[ROW][C]I3F[/C][C]4[/C][C]11[/C][C]15[/C][C]18[/C][C]28[/C][/ROW]
[ROW][C]E1M[/C][C]14[/C][C]20[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]E1F[/C][C]14[/C][C]21[/C][C]24[/C][C]26[/C][C]28[/C][/ROW]
[ROW][C]E2M[/C][C]8[/C][C]17[/C][C]20[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]E2F[/C][C]12[/C][C]19[/C][C]22[/C][C]24[/C][C]28[/C][/ROW]
[ROW][C]E3M[/C][C]14[/C][C]20[/C][C]23[/C][C]24[/C][C]28[/C][/ROW]
[ROW][C]E3F
[/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=261665&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=261665&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
I1M1118202328
I1F1519202226
I2M916192128
I2F1017202228
I3M412161928
I3F411151828
E1M1420232528
E1F1421242628
E2M817202328
E2F1219222428
E3M1420232428
E3F 1521232528







Boxplot Notches
Variablelower boundmedianupper bound
I1M19.52872551084522020.4712744891548
I1F19.71723530650712020.2827646934929
I2M18.52872551084521919.4712744891548
I2F19.52872551084522020.4712744891548
I3M15.34021571518331616.6597842848167
I3F14.34021571518331515.6597842848167
E1M22.52872551084522323.4712744891548
E1F23.52872551084522424.4712744891548
E2M19.43447061301422020.5655293869858
E2F21.52872551084522222.4712744891548
E3M22.62298040867622323.3770195913238
E3F 22.62298040867622323.3770195913238

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
I1M & 19.5287255108452 & 20 & 20.4712744891548 \tabularnewline
I1F & 19.7172353065071 & 20 & 20.2827646934929 \tabularnewline
I2M & 18.5287255108452 & 19 & 19.4712744891548 \tabularnewline
I2F & 19.5287255108452 & 20 & 20.4712744891548 \tabularnewline
I3M & 15.3402157151833 & 16 & 16.6597842848167 \tabularnewline
I3F & 14.3402157151833 & 15 & 15.6597842848167 \tabularnewline
E1M & 22.5287255108452 & 23 & 23.4712744891548 \tabularnewline
E1F & 23.5287255108452 & 24 & 24.4712744891548 \tabularnewline
E2M & 19.4344706130142 & 20 & 20.5655293869858 \tabularnewline
E2F & 21.5287255108452 & 22 & 22.4712744891548 \tabularnewline
E3M & 22.6229804086762 & 23 & 23.3770195913238 \tabularnewline
E3F
 & 22.6229804086762 & 23 & 23.3770195913238 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=261665&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]I1M[/C][C]19.5287255108452[/C][C]20[/C][C]20.4712744891548[/C][/ROW]
[ROW][C]I1F[/C][C]19.7172353065071[/C][C]20[/C][C]20.2827646934929[/C][/ROW]
[ROW][C]I2M[/C][C]18.5287255108452[/C][C]19[/C][C]19.4712744891548[/C][/ROW]
[ROW][C]I2F[/C][C]19.5287255108452[/C][C]20[/C][C]20.4712744891548[/C][/ROW]
[ROW][C]I3M[/C][C]15.3402157151833[/C][C]16[/C][C]16.6597842848167[/C][/ROW]
[ROW][C]I3F[/C][C]14.3402157151833[/C][C]15[/C][C]15.6597842848167[/C][/ROW]
[ROW][C]E1M[/C][C]22.5287255108452[/C][C]23[/C][C]23.4712744891548[/C][/ROW]
[ROW][C]E1F[/C][C]23.5287255108452[/C][C]24[/C][C]24.4712744891548[/C][/ROW]
[ROW][C]E2M[/C][C]19.4344706130142[/C][C]20[/C][C]20.5655293869858[/C][/ROW]
[ROW][C]E2F[/C][C]21.5287255108452[/C][C]22[/C][C]22.4712744891548[/C][/ROW]
[ROW][C]E3M[/C][C]22.6229804086762[/C][C]23[/C][C]23.3770195913238[/C][/ROW]
[ROW][C]E3F
[/C][C]22.6229804086762[/C][C]23[/C][C]23.3770195913238[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=261665&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=261665&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
I1M19.52872551084522020.4712744891548
I1F19.71723530650712020.2827646934929
I2M18.52872551084521919.4712744891548
I2F19.52872551084522020.4712744891548
I3M15.34021571518331616.6597842848167
I3F14.34021571518331515.6597842848167
E1M22.52872551084522323.4712744891548
E1F23.52872551084522424.4712744891548
E2M19.43447061301422020.5655293869858
E2F21.52872551084522222.4712744891548
E3M22.62298040867622323.3770195913238
E3F 22.62298040867622323.3770195913238



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