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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

Tue, 19 Oct 2010 12:36:36 +0000

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/2010/Oct/19/t1287491824r49j9az934ogk1u.htm/, Retrieved Mon, 29 Apr 2024 04:22:19 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86304, Retrieved Mon, 29 Apr 2024 04:22:19 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

101

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

-     [Cronbach Alpha] [Intrinsic Motivat...] [2010-10-12 11:40:37] [b98453cac15ba1066b407e146608df68]
F RMPD  [Notched Boxplots] [Mannen] [2010-10-19 12:32:08] [b84bdc9bd81e1f02ca0dcc4710c1b790]
F    D      [Notched Boxplots] [Vrouwen] [2010-10-19 12:36:36] [55fca7c82a53ae69fe96aa1750b06058] [Current]

Feedback Forum

2010-10-21 07:15:27 [Pascal Wijnen] [reply] 
De student komt hier tot de juiste boxplots. De interpretatie is echter niet zo correct, daar we toch verschillen kunnen vinden. Zo zijn de vrouwen meestal meer gemotiveerd en zijn de mannen meer gedemotiveerd.
2010-10-21 07:25:15 [Pascal Wijnen] [reply] 
De student komt hier tot de juiste boxplots. De interpretatie is echter niet zo correct, daar we toch verschillen kunnen vinden. Zo zijn de vrouwen meestal meer gemotiveerd en zijn de mannen meer gedemotiveerd.

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Dataseries X:

Download CSV

Histogram

Boxplots

19	18	11	20	21	21	8
25	17	4	28	19	23	4
17	19	10	24	25	27	4
22	20	13	27	17	27	4
21	17	11	23	20	22	8
26	25	24	28	22	28	4
20	26	5	27	21	27	4
14	19	5	19	17	16	4
23	16	13	28	17	24	4
20	19	9	11	22	20	4
22	25	17	25	25	22	4
15	15	12	20	15	20	10
20	12	7	20	22	24	4
22	21	16	24	21	19	8
20	15	14	25	16	23	4
28	28	24	28	28	27	4
25	26	18	24	22	21	5
26	25	12	21	21	19	4
17	12	9	22	12	19	5
23	15	8	20	25	26	12
13	14	10	20	24	28	9
24	22	19	23	24	24	4
14	21	4	21	25	24	4
22	23	19	12	25	25	5
23	25	11	23	26	16	4
22	22	11	28	22	25	4
24	24	24	24	24	24	6
21	20	17	24	17	23	4
23	22	18	25	20	26	4
22	16	12	21	15	22	5
21	22	16	26	24	25	5
26	24	23	28	26	27	4
15	16	7	21	21	12	4
25	27	10	27	25	15	4
17	20	17	22	23	21	8
25	27	21	23	28	24	4
27	24	19	24	18	19	4
25	19	13	22	21	21	4
19	16	12	23	21	21	4
26	26	22	25	23	24	7
20	22	5	21	15	18	4
20	21	14	22	23	19	4
18	14	12	20	21	18	8
18	12	12	21	10	23	5
19	22	6	19	21	20	5
23	20	17	26	18	25	5
17	18	15	20	19	21	4
23	23	17	22	22	22	4
23	23	22	23	24	22	7
11	12	9	22	15	20	10
18	16	13	24	18	23	4
24	23	20	23	26	25	5
16	18	12	23	21	25	7
24	23	20	27	23	26	4
24	15	18	21	16	20	4
21	17	13	23	22	26	8
25	22	15	25	16	21	6
22	20	18	23	19	22	4
21	20	18	22	20	16	9
24	20	12	28	25	25	4
24	22	16	28	21	23	4
21	18	16	20	21	21	5
18	17	13	18	16	16	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' @ 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=86304&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=86304&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86304&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' @ 72.249.127.135

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
Intr.1	13	19	22	24	28
Intr.2	12	17	20	23	28
Intr.3	4	11	13	18	24
Extr.1	18	21	23	25	28
Extr.2	10	18	21	24	28
Extr.3	15	20	22	25	28
Amotiv.	4	4	4	5.5	7

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Intr.1 & 13 & 19 & 22 & 24 & 28 \tabularnewline
Intr.2 & 12 & 17 & 20 & 23 & 28 \tabularnewline
Intr.3 & 4 & 11 & 13 & 18 & 24 \tabularnewline
Extr.1 & 18 & 21 & 23 & 25 & 28 \tabularnewline
Extr.2 & 10 & 18 & 21 & 24 & 28 \tabularnewline
Extr.3 & 15 & 20 & 22 & 25 & 28 \tabularnewline
Amotiv. & 4 & 4 & 4 & 5.5 & 7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86304&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]Intr.1[/C][C]13[/C][C]19[/C][C]22[/C][C]24[/C][C]28[/C][/ROW]
[ROW][C]Intr.2[/C][C]12[/C][C]17[/C][C]20[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]Intr.3[/C][C]4[/C][C]11[/C][C]13[/C][C]18[/C][C]24[/C][/ROW]
[ROW][C]Extr.1[/C][C]18[/C][C]21[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]Extr.2[/C][C]10[/C][C]18[/C][C]21[/C][C]24[/C][C]28[/C][/ROW]
[ROW][C]Extr.3[/C][C]15[/C][C]20[/C][C]22[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]Amotiv.[/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=86304&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86304&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
Intr.1	13	19	22	24	28
Intr.2	12	17	20	23	28
Intr.3	4	11	13	18	24
Extr.1	18	21	23	25	28
Extr.2	10	18	21	24	28
Extr.3	15	20	22	25	28
Amotiv.	4	4	4	5.5	7

Boxplot Notches
Variable	lower bound	median	upper bound
Intr.1	21.0046935544090	22	22.9953064455910
Intr.2	18.8056322652908	20	21.1943677347092
Intr.3	11.6065709761726	13	14.3934290238274
Extr.1	22.2037548435272	23	23.7962451564728
Extr.2	19.8056322652908	21	22.1943677347092
Extr.3	21.0046935544090	22	22.9953064455910
Amotiv.	3.70140806632271	4	4.29859193367729

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Intr.1 & 21.0046935544090 & 22 & 22.9953064455910 \tabularnewline
Intr.2 & 18.8056322652908 & 20 & 21.1943677347092 \tabularnewline
Intr.3 & 11.6065709761726 & 13 & 14.3934290238274 \tabularnewline
Extr.1 & 22.2037548435272 & 23 & 23.7962451564728 \tabularnewline
Extr.2 & 19.8056322652908 & 21 & 22.1943677347092 \tabularnewline
Extr.3 & 21.0046935544090 & 22 & 22.9953064455910 \tabularnewline
Amotiv. & 3.70140806632271 & 4 & 4.29859193367729 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86304&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]Intr.1[/C][C]21.0046935544090[/C][C]22[/C][C]22.9953064455910[/C][/ROW]
[ROW][C]Intr.2[/C][C]18.8056322652908[/C][C]20[/C][C]21.1943677347092[/C][/ROW]
[ROW][C]Intr.3[/C][C]11.6065709761726[/C][C]13[/C][C]14.3934290238274[/C][/ROW]
[ROW][C]Extr.1[/C][C]22.2037548435272[/C][C]23[/C][C]23.7962451564728[/C][/ROW]
[ROW][C]Extr.2[/C][C]19.8056322652908[/C][C]21[/C][C]22.1943677347092[/C][/ROW]
[ROW][C]Extr.3[/C][C]21.0046935544090[/C][C]22[/C][C]22.9953064455910[/C][/ROW]
[ROW][C]Amotiv.[/C][C]3.70140806632271[/C][C]4[/C][C]4.29859193367729[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86304&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86304&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
Intr.1	21.0046935544090	22	22.9953064455910
Intr.2	18.8056322652908	20	21.1943677347092
Intr.3	11.6065709761726	13	14.3934290238274
Extr.1	22.2037548435272	23	23.7962451564728
Extr.2	19.8056322652908	21	22.1943677347092
Extr.3	21.0046935544090	22	22.9953064455910
Amotiv.	3.70140806632271	4	4.29859193367729

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code