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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 computationMon, 18 Oct 2010 16:57:30 +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/2010/Oct/18/t1287421001oubdkmiy3kxnkt9.htm/, Retrieved Sat, 04 May 2024 17:22:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=85006, Retrieved Sat, 04 May 2024 17:22:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152
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]
F   PD    [Notched Boxplots] [Ws 3 - Q4 - Summa...] [2010-10-18 16:57:30] [0829c729852d8a4b1b0c41cf0848af95] [Current]
-    D      [Notched Boxplots] [vrouwen-mannen] [2010-10-22 15:12:43] [c1a9f1d6a1a56eda57b5ddd6daa7a288]
- R  D        [Notched Boxplots] [Paper: Difference...] [2010-12-03 13:01:15] [c1a9f1d6a1a56eda57b5ddd6daa7a288]
Feedback Forum
2010-10-24 06:41:21 [6f5a430a34dfbeab884e51a2f2a26434] [reply
Je hebt de boxplots goed gemaakt, het was iets beter geweest moest je de gegevens van zowel de mannen als de vrouwen in 1 notched boxplot geplaatst hebben.

http://www.freestatistics.org/blog/index.php?v=date/2010/Oct/22/t128776032332qdaxesdh9wa5o.htm/

De bovenstaande link toont alles in 1 figuur.

Je ziet dat de meeste boxplots elkaar overlappen, over het algemeen zijn de vrouwen iets intrinsieker dan de mannen. Waar wel een verschil te constateren valt en dat niet te wijten is aan toeval is bij de amotivatie. Er is hier geen overlapping van de mediaan, uit de gegevens blijkt dat mannen iets minder gemotiveerd zijn dan vrouwen.

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




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85006&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85006&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85006&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' @ 72.249.127.135







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
I11319222428
I21217202328
I3411131824
E11821232528
E21018212428
E31520222528
A4445.57

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
I1 & 13 & 19 & 22 & 24 & 28 \tabularnewline
I2 & 12 & 17 & 20 & 23 & 28 \tabularnewline
I3 & 4 & 11 & 13 & 18 & 24 \tabularnewline
E1 & 18 & 21 & 23 & 25 & 28 \tabularnewline
E2 & 10 & 18 & 21 & 24 & 28 \tabularnewline
E3 & 15 & 20 & 22 & 25 & 28 \tabularnewline
A & 4 & 4 & 4 & 5.5 & 7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85006&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]13[/C][C]19[/C][C]22[/C][C]24[/C][C]28[/C][/ROW]
[ROW][C]I2[/C][C]12[/C][C]17[/C][C]20[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]I3[/C][C]4[/C][C]11[/C][C]13[/C][C]18[/C][C]24[/C][/ROW]
[ROW][C]E1[/C][C]18[/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]20[/C][C]22[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]A[/C][C]4[/C][C]4[/C][C]4[/C][C]5.5[/C][C]7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85006&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85006&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
I11319222428
I21217202328
I3411131824
E11821232528
E21018212428
E31520222528
A4445.57







Boxplot Notches
Variablelower boundmedianupper bound
I121.00469355440902222.9953064455910
I218.80563226529082021.1943677347092
I311.60657097617261314.3934290238274
E122.20375484352722323.7962451564728
E219.80563226529082122.1943677347092
E321.00469355440902222.9953064455910
A3.7014080663227144.29859193367729

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
I1 & 21.0046935544090 & 22 & 22.9953064455910 \tabularnewline
I2 & 18.8056322652908 & 20 & 21.1943677347092 \tabularnewline
I3 & 11.6065709761726 & 13 & 14.3934290238274 \tabularnewline
E1 & 22.2037548435272 & 23 & 23.7962451564728 \tabularnewline
E2 & 19.8056322652908 & 21 & 22.1943677347092 \tabularnewline
E3 & 21.0046935544090 & 22 & 22.9953064455910 \tabularnewline
A & 3.70140806632271 & 4 & 4.29859193367729 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85006&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]21.0046935544090[/C][C]22[/C][C]22.9953064455910[/C][/ROW]
[ROW][C]I2[/C][C]18.8056322652908[/C][C]20[/C][C]21.1943677347092[/C][/ROW]
[ROW][C]I3[/C][C]11.6065709761726[/C][C]13[/C][C]14.3934290238274[/C][/ROW]
[ROW][C]E1[/C][C]22.2037548435272[/C][C]23[/C][C]23.7962451564728[/C][/ROW]
[ROW][C]E2[/C][C]19.8056322652908[/C][C]21[/C][C]22.1943677347092[/C][/ROW]
[ROW][C]E3[/C][C]21.0046935544090[/C][C]22[/C][C]22.9953064455910[/C][/ROW]
[ROW][C]A[/C][C]3.70140806632271[/C][C]4[/C][C]4.29859193367729[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85006&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85006&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
I121.00469355440902222.9953064455910
I218.80563226529082021.1943677347092
I311.60657097617261314.3934290238274
E122.20375484352722323.7962451564728
E219.80563226529082122.1943677347092
E321.00469355440902222.9953064455910
A3.7014080663227144.29859193367729



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')