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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 07:49:18 +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/t1287474505tyod5zf8f7bcpm4.htm/, Retrieved Sun, 28 Apr 2024 20:45:53 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=85834, Retrieved Sun, 28 Apr 2024 20:45:53 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

150

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]
-   PD  [Notched Boxplots] [Question 4 DMA] [2010-10-16 18:36:08] [74be16979710d4c4e7c6647856088456]
F           [Notched Boxplots] [question 4] [2010-10-19 07:49:18] [da925928e5a77063c5ecc7b801d712e1] [Current]

Feedback Forum

2010-10-23 11:01:05 [Michael Van Goethem] [reply] 
De grafieken zijn juist, maar het was beter om deze gegevens in 1 grafiek te verwerken, zodat je alle boxplots naast elkaar kon vergelijken. Waarschijnlijk komt het hierdoor dat je een fout hebt gemaakt in je conclusie. Je kon alles in 1 grafiek verwerken door alle mannelijke en vrouwelijke resultaten te filteren uit het excelbestand (door bv. de als-functie te gebruiken in excel, wanneer de cel=1, dan moet de waarde weergegeven worden voor de man, indien niet gelijk aan 1, kan er “NA” vermeld worden. Je kan hetzelfde principe toepassen voor de vrouwen). Als conclusie kan er gesteld worden dat vrouwen intrinsieker zijn dan mannen. Er is geen verschil in extrinsieke motivatie tussen de geslachten en vrouwen zijn gemiddeld gezien gemotiveerder dan mannen. 

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Dataseries X:

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Histogram

Boxplots

26	21	21	23	17	23	4
20	16	15	24	17	20	4
19	19	18	22	18	20	6
19	18	11	20	21	21	8
20	16	8	24	20	24	8
25	23	19	27	28	22	4
25	17	4	28	19	23	4
22	12	20	27	22	20	8
26	19	16	24	16	25	5
22	16	14	23	18	23	4
17	19	10	24	25	27	4
22	20	13	27	17	27	4
19	13	14	27	14	22	4
24	20	8	28	11	24	4
26	27	23	27	27	25	4
21	17	11	23	20	22	8
13	8	9	24	22	28	4
26	25	24	28	22	28	4
20	26	5	27	21	27	4
22	13	15	25	23	25	8
14	19	5	19	17	16	4
21	15	19	24	24	28	7
7	5	6	20	14	21	4
23	16	13	28	17	24	4
17	14	11	26	23	27	5
25	24	17	23	24	14	4
25	24	17	23	24	14	4
19	9	5	20	8	27	4
20	19	9	11	22	20	4
23	19	15	24	23	21	4
22	25	17	25	25	22	4
22	19	17	23	21	21	4
21	18	20	18	24	12	15
15	15	12	20	15	20	10
20	12	7	20	22	24	4
22	21	16	24	21	19	8
18	12	7	23	25	28	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=85834&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=85834&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85834&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
I1	13	19	21	23	26
I2	8	15	18	20	27
I3	4	9	14	17	24
E1	18	23	24	27	28
E2	8	17	21	23	28
E3	14	20	23	25	28
A	4	4	4	6	8

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
I1 & 13 & 19 & 21 & 23 & 26 \tabularnewline
I2 & 8 & 15 & 18 & 20 & 27 \tabularnewline
I3 & 4 & 9 & 14 & 17 & 24 \tabularnewline
E1 & 18 & 23 & 24 & 27 & 28 \tabularnewline
E2 & 8 & 17 & 21 & 23 & 28 \tabularnewline
E3 & 14 & 20 & 23 & 25 & 28 \tabularnewline
A & 4 & 4 & 4 & 6 & 8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85834&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]21[/C][C]23[/C][C]26[/C][/ROW]
[ROW][C]I2[/C][C]8[/C][C]15[/C][C]18[/C][C]20[/C][C]27[/C][/ROW]
[ROW][C]I3[/C][C]4[/C][C]9[/C][C]14[/C][C]17[/C][C]24[/C][/ROW]
[ROW][C]E1[/C][C]18[/C][C]23[/C][C]24[/C][C]27[/C][C]28[/C][/ROW]
[ROW][C]E2[/C][C]8[/C][C]17[/C][C]21[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]E3[/C][C]14[/C][C]20[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]A[/C][C]4[/C][C]4[/C][C]4[/C][C]6[/C][C]8[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85834&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85834&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
I1	13	19	21	23	26
I2	8	15	18	20	27
I3	4	9	14	17	24
E1	18	23	24	27	28
E2	8	17	21	23	28
E3	14	20	23	25	28
A	4	4	4	6	8

Boxplot Notches
Variable	lower bound	median	upper bound
I1	19.9609984002301	21	22.0390015997699
I2	16.7012480002877	18	19.2987519997123
I3	11.9219968004603	14	16.0780031995397
E1	22.9609984002301	24	25.0390015997699
E2	19.4414976003452	21	22.5585023996548
E3	21.7012480002877	23	24.2987519997123
A	3.48049920011507	4	4.51950079988493

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
I1 & 19.9609984002301 & 21 & 22.0390015997699 \tabularnewline
I2 & 16.7012480002877 & 18 & 19.2987519997123 \tabularnewline
I3 & 11.9219968004603 & 14 & 16.0780031995397 \tabularnewline
E1 & 22.9609984002301 & 24 & 25.0390015997699 \tabularnewline
E2 & 19.4414976003452 & 21 & 22.5585023996548 \tabularnewline
E3 & 21.7012480002877 & 23 & 24.2987519997123 \tabularnewline
A & 3.48049920011507 & 4 & 4.51950079988493 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85834&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]19.9609984002301[/C][C]21[/C][C]22.0390015997699[/C][/ROW]
[ROW][C]I2[/C][C]16.7012480002877[/C][C]18[/C][C]19.2987519997123[/C][/ROW]
[ROW][C]I3[/C][C]11.9219968004603[/C][C]14[/C][C]16.0780031995397[/C][/ROW]
[ROW][C]E1[/C][C]22.9609984002301[/C][C]24[/C][C]25.0390015997699[/C][/ROW]
[ROW][C]E2[/C][C]19.4414976003452[/C][C]21[/C][C]22.5585023996548[/C][/ROW]
[ROW][C]E3[/C][C]21.7012480002877[/C][C]23[/C][C]24.2987519997123[/C][/ROW]
[ROW][C]A[/C][C]3.48049920011507[/C][C]4[/C][C]4.51950079988493[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85834&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85834&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
I1	19.9609984002301	21	22.0390015997699
I2	16.7012480002877	18	19.2987519997123
I3	11.9219968004603	14	16.0780031995397
E1	22.9609984002301	24	25.0390015997699
E2	19.4414976003452	21	22.5585023996548
E3	21.7012480002877	23	24.2987519997123
A	3.48049920011507	4	4.51950079988493

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = grey ;

Parameters (R input):

par1 = grey ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;

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