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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_notchedbox1.wasp

Title produced by software

Notched Boxplots

Date of computation

Fri, 21 Oct 2011 16:06:21 -0400

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/21/t1319227592235pl7tx5xeqtio.htm/, Retrieved Fri, 10 May 2024 18:06:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=133671, Retrieved Fri, 10 May 2024 18:06:15 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

135

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Boxplot and Trimmed Means] [Reddy Moores Boxp...] [2010-10-12 16:37:57] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Boxplot and Trimmed Means] [Reddy-Moores Plac...] [2010-10-13 09:46:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD    [Notched Boxplots] [] [2010-10-15 11:13:23] [b98453cac15ba1066b407e146608df68]
- R  D      [Notched Boxplots] [] [2011-10-21 20:00:09] [1dc3906a3b5a6ec06dc921f387100c9e]
-    D        [Notched Boxplots] [] [2011-10-21 20:04:22] [1dc3906a3b5a6ec06dc921f387100c9e]
-    D            [Notched Boxplots] [] [2011-10-21 20:06:21] [43f1c1fe5c2aaa4d7bd6f731e1a494da] [Current]

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Dataseries X:

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Histogram

Boxplots

21	NA	22	NA	19	NA	28	NA	19	NA	28	NA	4	NA
NA	23	NA	22	NA	18	NA	25	NA	20	NA	26	NA	4
NA	22	NA	16	NA	12	NA	21	NA	15	NA	22	NA	5
24	NA	20	NA	23	NA	25	NA	23	NA	19	NA	10	NA
24	NA	24	NA	22	NA	25	NA	26	NA	26	NA	5	NA
16	NA	16	NA	14	NA	18	NA	22	NA	18	NA	8	NA
16	NA	16	NA	14	NA	17	NA	20	NA	18	NA	8	NA
NA	21	NA	22	NA	16	NA	26	NA	24	NA	25	NA	5
NA	26	NA	24	NA	23	NA	28	NA	26	NA	27	NA	4
NA	15	NA	16	NA	7	NA	21	NA	21	NA	12	NA	4
NA	25	NA	27	NA	10	NA	27	NA	25	NA	15	NA	4
18	NA	11	NA	12	NA	22	NA	13	NA	21	NA	5	NA
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
20	NA	20	NA	12	NA	25	NA	22	NA	22	NA	4	NA
NA	17	NA	20	NA	17	NA	22	NA	23	NA	21	NA	8
NA	25	NA	27	NA	21	NA	23	NA	28	NA	24	NA	4
24	NA	20	NA	16	NA	26	NA	22	NA	27	NA	5	NA
17	NA	12	NA	11	NA	19	NA	20	NA	22	NA	14	NA
19	NA	8	NA	14	NA	25	NA	6	NA	28	NA	8	NA
20	NA	21	NA	13	NA	21	NA	21	NA	26	NA	8	NA
15	NA	18	NA	9	NA	13	NA	20	NA	10	NA	4	NA
NA	27	NA	24	NA	19	NA	24	NA	18	NA	19	NA	4
22	NA	16	NA	13	NA	25	NA	23	NA	22	NA	6	NA
23	NA	18	NA	19	NA	26	NA	20	NA	21	NA	4	NA
16	NA	20	NA	13	NA	25	NA	24	NA	24	NA	7	NA
19	NA	20	NA	13	NA	25	NA	22	NA	25	NA	7	NA
NA	25	NA	19	NA	13	NA	22	NA	21	NA	21	NA	4
19	NA	17	NA	14	NA	21	NA	18	NA	20	NA	6	NA
NA	19	NA	16	NA	12	NA	23	NA	21	NA	21	NA	4
NA	26	NA	26	NA	22	NA	25	NA	23	NA	24	NA	7
21	NA	15	NA	11	NA	24	NA	23	NA	23	NA	4	NA
NA	20	NA	22	NA	5	NA	21	NA	15	NA	18	NA	4
24	NA	17	NA	18	NA	21	NA	21	NA	24	NA	8	NA
22	NA	23	NA	19	NA	25	NA	24	NA	24	NA	4	NA
NA	20	NA	21	NA	14	NA	22	NA	23	NA	19	NA	4

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=133671&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=133671&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=133671&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
I1M	15	17.5	20	22.5	24
I1F	15	20	22.5	25	27
I2M	11	16	18	20	24
I2F	16	19	22	24	27
I3M	9	12.5	14	18.5	23
I3F	5	12	15	19	23
E1M	17	21	25	25	28
E1F	21	22	23	25	28
E2M	18	20	21.5	23	26
E2F	15	20	22	24	28
E3M	18	20.5	22.5	25.5	28
E3F	12	19	21	24	27
AM	4	4	6	8	14
AF	4	4	4	5	5

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
I1M & 15 & 17.5 & 20 & 22.5 & 24 \tabularnewline
I1F & 15 & 20 & 22.5 & 25 & 27 \tabularnewline
I2M & 11 & 16 & 18 & 20 & 24 \tabularnewline
I2F & 16 & 19 & 22 & 24 & 27 \tabularnewline
I3M & 9 & 12.5 & 14 & 18.5 & 23 \tabularnewline
I3F & 5 & 12 & 15 & 19 & 23 \tabularnewline
E1M & 17 & 21 & 25 & 25 & 28 \tabularnewline
E1F & 21 & 22 & 23 & 25 & 28 \tabularnewline
E2M & 18 & 20 & 21.5 & 23 & 26 \tabularnewline
E2F & 15 & 20 & 22 & 24 & 28 \tabularnewline
E3M & 18 & 20.5 & 22.5 & 25.5 & 28 \tabularnewline
E3F & 12 & 19 & 21 & 24 & 27 \tabularnewline
AM & 4 & 4 & 6 & 8 & 14 \tabularnewline
AF & 4 & 4 & 4 & 5 & 5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=133671&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]15[/C][C]17.5[/C][C]20[/C][C]22.5[/C][C]24[/C][/ROW]
[ROW][C]I1F[/C][C]15[/C][C]20[/C][C]22.5[/C][C]25[/C][C]27[/C][/ROW]
[ROW][C]I2M[/C][C]11[/C][C]16[/C][C]18[/C][C]20[/C][C]24[/C][/ROW]
[ROW][C]I2F[/C][C]16[/C][C]19[/C][C]22[/C][C]24[/C][C]27[/C][/ROW]
[ROW][C]I3M[/C][C]9[/C][C]12.5[/C][C]14[/C][C]18.5[/C][C]23[/C][/ROW]
[ROW][C]I3F[/C][C]5[/C][C]12[/C][C]15[/C][C]19[/C][C]23[/C][/ROW]
[ROW][C]E1M[/C][C]17[/C][C]21[/C][C]25[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]E1F[/C][C]21[/C][C]22[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]E2M[/C][C]18[/C][C]20[/C][C]21.5[/C][C]23[/C][C]26[/C][/ROW]
[ROW][C]E2F[/C][C]15[/C][C]20[/C][C]22[/C][C]24[/C][C]28[/C][/ROW]
[ROW][C]E3M[/C][C]18[/C][C]20.5[/C][C]22.5[/C][C]25.5[/C][C]28[/C][/ROW]
[ROW][C]E3F[/C][C]12[/C][C]19[/C][C]21[/C][C]24[/C][C]27[/C][/ROW]
[ROW][C]AM[/C][C]4[/C][C]4[/C][C]6[/C][C]8[/C][C]14[/C][/ROW]
[ROW][C]AF[/C][C]4[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=133671&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=133671&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
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
I1M	15	17.5	20	22.5	24
I1F	15	20	22.5	25	27
I2M	11	16	18	20	24
I2F	16	19	22	24	27
I3M	9	12.5	14	18.5	23
I3F	5	12	15	19	23
E1M	17	21	25	25	28
E1F	21	22	23	25	28
E2M	18	20	21.5	23	26
E2F	15	20	22	24	28
E3M	18	20.5	22.5	25.5	28
E3F	12	19	21	24	27
AM	4	4	6	8	14
AF	4	4	4	5	5

Boxplot Notches
Variable	lower bound	median	upper bound
I1M	18.2335062977752	20	21.7664937022248
I1F	20.3886361888918	22.5	24.6113638111082
I2M	16.5868050382201	18	19.4131949617799
I2F	19.8886361888918	22	24.1113638111082
I3M	11.8802075573302	14	16.1197924426698
I3F	12.0440906644486	15	17.9559093355514
E1M	23.5868050382201	25	26.4131949617799
E1F	21.7331817133351	23	24.2668182866649
E2M	20.4401037786651	21.5	22.5598962213349
E2F	20.3109089511135	22	23.6890910488865
E3M	20.7335062977752	22.5	24.2664937022248
E3F	18.8886361888918	21	23.1113638111082
AM	4.58680503822013	6	7.41319496177987
AF	3.57772723777837	4	4.42227276222163

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
I1M & 18.2335062977752 & 20 & 21.7664937022248 \tabularnewline
I1F & 20.3886361888918 & 22.5 & 24.6113638111082 \tabularnewline
I2M & 16.5868050382201 & 18 & 19.4131949617799 \tabularnewline
I2F & 19.8886361888918 & 22 & 24.1113638111082 \tabularnewline
I3M & 11.8802075573302 & 14 & 16.1197924426698 \tabularnewline
I3F & 12.0440906644486 & 15 & 17.9559093355514 \tabularnewline
E1M & 23.5868050382201 & 25 & 26.4131949617799 \tabularnewline
E1F & 21.7331817133351 & 23 & 24.2668182866649 \tabularnewline
E2M & 20.4401037786651 & 21.5 & 22.5598962213349 \tabularnewline
E2F & 20.3109089511135 & 22 & 23.6890910488865 \tabularnewline
E3M & 20.7335062977752 & 22.5 & 24.2664937022248 \tabularnewline
E3F & 18.8886361888918 & 21 & 23.1113638111082 \tabularnewline
AM & 4.58680503822013 & 6 & 7.41319496177987 \tabularnewline
AF & 3.57772723777837 & 4 & 4.42227276222163 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=133671&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]18.2335062977752[/C][C]20[/C][C]21.7664937022248[/C][/ROW]
[ROW][C]I1F[/C][C]20.3886361888918[/C][C]22.5[/C][C]24.6113638111082[/C][/ROW]
[ROW][C]I2M[/C][C]16.5868050382201[/C][C]18[/C][C]19.4131949617799[/C][/ROW]
[ROW][C]I2F[/C][C]19.8886361888918[/C][C]22[/C][C]24.1113638111082[/C][/ROW]
[ROW][C]I3M[/C][C]11.8802075573302[/C][C]14[/C][C]16.1197924426698[/C][/ROW]
[ROW][C]I3F[/C][C]12.0440906644486[/C][C]15[/C][C]17.9559093355514[/C][/ROW]
[ROW][C]E1M[/C][C]23.5868050382201[/C][C]25[/C][C]26.4131949617799[/C][/ROW]
[ROW][C]E1F[/C][C]21.7331817133351[/C][C]23[/C][C]24.2668182866649[/C][/ROW]
[ROW][C]E2M[/C][C]20.4401037786651[/C][C]21.5[/C][C]22.5598962213349[/C][/ROW]
[ROW][C]E2F[/C][C]20.3109089511135[/C][C]22[/C][C]23.6890910488865[/C][/ROW]
[ROW][C]E3M[/C][C]20.7335062977752[/C][C]22.5[/C][C]24.2664937022248[/C][/ROW]
[ROW][C]E3F[/C][C]18.8886361888918[/C][C]21[/C][C]23.1113638111082[/C][/ROW]
[ROW][C]AM[/C][C]4.58680503822013[/C][C]6[/C][C]7.41319496177987[/C][/ROW]
[ROW][C]AF[/C][C]3.57772723777837[/C][C]4[/C][C]4.42227276222163[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=133671&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=133671&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
Variable	lower bound	median	upper bound
I1M	18.2335062977752	20	21.7664937022248
I1F	20.3886361888918	22.5	24.6113638111082
I2M	16.5868050382201	18	19.4131949617799
I2F	19.8886361888918	22	24.1113638111082
I3M	11.8802075573302	14	16.1197924426698
I3F	12.0440906644486	15	17.9559093355514
E1M	23.5868050382201	25	26.4131949617799
E1F	21.7331817133351	23	24.2668182866649
E2M	20.4401037786651	21.5	22.5598962213349
E2F	20.3109089511135	22	23.6890910488865
E3M	20.7335062977752	22.5	24.2664937022248
E3F	18.8886361888918	21	23.1113638111082
AM	4.58680503822013	6	7.41319496177987
AF	3.57772723777837	4	4.42227276222163

Figure 1

PNG link

Postscript link

PDF link

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')

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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code