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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 computationWed, 23 Oct 2013 12:55:12 -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/23/t1382547324d5kp66nmkxdqy45.htm/, Retrieved Sun, 28 Apr 2024 13:39:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=219094, Retrieved Sun, 28 Apr 2024 13:39:22 +0000
QR Codes:

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] [workshop 3] [2013-10-23 16:55:12] [9f680dbb7255da5c43026c0e260df2c2] [Current]
- R  D    [Notched Boxplots] [workshop 3] [2013-10-23 16:57:22] [28b01683adeed0ece37c11d0e0637e9d]
- R  D    [Notched Boxplots] [workshop 3] [2013-10-23 16:58:53] [28b01683adeed0ece37c11d0e0637e9d]
- RM      [Histogram] [] [2013-10-23 17:18:53] [28b01683adeed0ece37c11d0e0637e9d]
- RM D    [Histogram] [workshop 3] [2013-10-23 17:20:07] [28b01683adeed0ece37c11d0e0637e9d]
- RMP       [Histogram] [qq] [2013-10-23 18:20:59] [fcc5c79267206050edde2804b94bb45f]
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Dataseries X:
23	17	23	4
24	17	20	4
22	18	20	6
24	20	24	8
27	28	22	4
27	22	20	8
24	16	25	5
23	18	23	4
27	14	22	4
28	11	24	4
27	27	25	4
24	22	28	4
25	23	25	8
24	24	28	7
20	14	21	4
26	23	27	5
23	24	14	4
23	24	14	4
20	8	27	4
24	23	21	4
23	21	21	4
18	24	12	15
23	25	28	4
26	23	22	4
26	21	27	7
23	21	26	4
22	26	22	6
20	18	24	16
25	17	22	6
22	15	21	9
23	13	23	4
25	26	28	5
23	16	10	4
22	21	21	5
24	20	21	4
25	14	24	4
17	20	25	4
20	22	23	6
23	20	21	4
20	18	17	18
24	24	25	4
24	20	23	5
28	19	28	4
25	23	19	10
25	26	26	5
18	22	18	8
17	20	18	8
22	13	21	5
25	22	22	4
26	22	27	5
19	20	22	14
25	6	28	8
21	21	26	8
13	20	10	4
25	23	22	6
26	20	21	4
25	24	24	7
25	22	25	7
21	18	20	6
24	23	23	4
21	21	24	8
25	24	24	4
20	21	20	10
23	20	20	6
28	11	27	4
23	22	23	4
28	27	26	4
24	25	23	5
18	18	17	4
20	20	21	6
28	24	25	4
21	27	27	7
25	21	24	8
18	18	27	8
21	15	21	10
22	24	24	8
24	22	21	5
15	14	15	12
28	28	25	4
23	26	22	4
26	17	24	6
20	18	23	7
22	11	23	8
26	26	22	11
23	23	22	8
21	15	24	6
26	22	24	7
23	26	25	5
27	20	26	8
19	18	21	4
22	19	26	5
25	23	28	6
25	24	18	4
25	23	20	6
19	27	25	16
25	23	22	6
22	18	21	6
20	16	18	4




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=219094&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=219094&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219094&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
E11521232528
E21118212328
E31521232528
A445814

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
E1 & 15 & 21 & 23 & 25 & 28 \tabularnewline
E2 & 11 & 18 & 21 & 23 & 28 \tabularnewline
E3 & 15 & 21 & 23 & 25 & 28 \tabularnewline
A & 4 & 4 & 5 & 8 & 14 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219094&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]E1[/C][C]15[/C][C]21[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]E2[/C][C]11[/C][C]18[/C][C]21[/C][C]23[/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]
[ROW][C]A[/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=219094&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219094&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
E11521232528
E21118212328
E31521232528
A445814







Boxplot Notches
Variablelower boundmedianupper bound
E122.3615835918432323.638416408157
E220.20197948980382121.7980205101962
E322.3615835918432323.638416408157
A4.36158359184355.638416408157

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
E1 & 22.361583591843 & 23 & 23.638416408157 \tabularnewline
E2 & 20.2019794898038 & 21 & 21.7980205101962 \tabularnewline
E3 & 22.361583591843 & 23 & 23.638416408157 \tabularnewline
A & 4.361583591843 & 5 & 5.638416408157 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219094&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]E1[/C][C]22.361583591843[/C][C]23[/C][C]23.638416408157[/C][/ROW]
[ROW][C]E2[/C][C]20.2019794898038[/C][C]21[/C][C]21.7980205101962[/C][/ROW]
[ROW][C]E3[/C][C]22.361583591843[/C][C]23[/C][C]23.638416408157[/C][/ROW]
[ROW][C]A[/C][C]4.361583591843[/C][C]5[/C][C]5.638416408157[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219094&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219094&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
E122.3615835918432323.638416408157
E220.20197948980382121.7980205101962
E322.3615835918432323.638416408157
A4.36158359184355.638416408157



Parameters (Session):
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')