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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 07:52:24 +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/t1287474653rqt12rfbilgyvuu.htm/, Retrieved Sun, 28 Apr 2024 20:50:01 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=85837, Retrieved Sun, 28 Apr 2024 20:50:01 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

153

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 Ge...] [2010-10-16 18:39:17] [74be16979710d4c4e7c6647856088456]
F           [Notched Boxplots] [question 4.2] [2010-10-19 07:52:24] [da925928e5a77063c5ecc7b801d712e1] [Current]

Feedback Forum

2010-10-21 10:06:28 [] [reply] 
Een mogelijkheid om alle gegevens in één grafiek te krijgen (om zo makkelijker mannen en vrouwen te kunnen vergelijken) is de tabel in excel uit te splitsen. Met de 'if' functie kan je dan het onderscheid maken 'if' cel x is gelijk aan 1 (man) dan moet je iets weergeven in cel x+10, indien dit niet het geval is geef dan NA weer. Zo zie je een tabel met heel wat NA's maar kan je wel de boxplots opsplitsen! 
 
Verder is het misschien goed om ook even op te merken dat bij amotivation er toch een redelijk groot verschil bestaat tussen mannen en vrouwen, het is namelijk zo dat er meer mannen niet gemotiveerd zijn dan wel dat dat het geval is bij vrouwen.

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Dataseries X:

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Histogram

Boxplots

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85837&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85837&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85837&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	2 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
I1	13	18	21	23	28
I2	5	14.5	18.5	21	28
I3	4	9	13.5	17	24
E1	18	22	24	25.5	28
E2	8	17	21	24	28
E3	14	21	23	26	28
A	4	4	4	6.5	10

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
I1 & 13 & 18 & 21 & 23 & 28 \tabularnewline
I2 & 5 & 14.5 & 18.5 & 21 & 28 \tabularnewline
I3 & 4 & 9 & 13.5 & 17 & 24 \tabularnewline
E1 & 18 & 22 & 24 & 25.5 & 28 \tabularnewline
E2 & 8 & 17 & 21 & 24 & 28 \tabularnewline
E3 & 14 & 21 & 23 & 26 & 28 \tabularnewline
A & 4 & 4 & 4 & 6.5 & 10 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85837&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]18[/C][C]21[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]I2[/C][C]5[/C][C]14.5[/C][C]18.5[/C][C]21[/C][C]28[/C][/ROW]
[ROW][C]I3[/C][C]4[/C][C]9[/C][C]13.5[/C][C]17[/C][C]24[/C][/ROW]
[ROW][C]E1[/C][C]18[/C][C]22[/C][C]24[/C][C]25.5[/C][C]28[/C][/ROW]
[ROW][C]E2[/C][C]8[/C][C]17[/C][C]21[/C][C]24[/C][C]28[/C][/ROW]
[ROW][C]E3[/C][C]14[/C][C]21[/C][C]23[/C][C]26[/C][C]28[/C][/ROW]
[ROW][C]A[/C][C]4[/C][C]4[/C][C]4[/C][C]6.5[/C][C]10[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85837&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85837&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	18	21	23	28
I2	5	14.5	18.5	21	28
I3	4	9	13.5	17	24
E1	18	22	24	25.5	28
E2	8	17	21	24	28
E3	14	21	23	26	28
A	4	4	4	6.5	10

Boxplot Notches
Variable	lower bound	median	upper bound
I1	19.9443180944459	21	22.0556819055541
I2	17.1276135227797	18.5	19.8723864772203
I3	11.8109089511135	13.5	15.1890910488865
E1	23.2610226661121	24	24.7389773338879
E2	19.5220453322243	21	22.4779546677757
E3	21.9443180944459	23	24.0556819055541
A	3.47215904722296	4	4.52784095277704

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
I1 & 19.9443180944459 & 21 & 22.0556819055541 \tabularnewline
I2 & 17.1276135227797 & 18.5 & 19.8723864772203 \tabularnewline
I3 & 11.8109089511135 & 13.5 & 15.1890910488865 \tabularnewline
E1 & 23.2610226661121 & 24 & 24.7389773338879 \tabularnewline
E2 & 19.5220453322243 & 21 & 22.4779546677757 \tabularnewline
E3 & 21.9443180944459 & 23 & 24.0556819055541 \tabularnewline
A & 3.47215904722296 & 4 & 4.52784095277704 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85837&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]19.9443180944459[/C][C]21[/C][C]22.0556819055541[/C][/ROW]
[ROW][C]I2[/C][C]17.1276135227797[/C][C]18.5[/C][C]19.8723864772203[/C][/ROW]
[ROW][C]I3[/C][C]11.8109089511135[/C][C]13.5[/C][C]15.1890910488865[/C][/ROW]
[ROW][C]E1[/C][C]23.2610226661121[/C][C]24[/C][C]24.7389773338879[/C][/ROW]
[ROW][C]E2[/C][C]19.5220453322243[/C][C]21[/C][C]22.4779546677757[/C][/ROW]
[ROW][C]E3[/C][C]21.9443180944459[/C][C]23[/C][C]24.0556819055541[/C][/ROW]
[ROW][C]A[/C][C]3.47215904722296[/C][C]4[/C][C]4.52784095277704[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85837&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85837&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	19.9443180944459	21	22.0556819055541
I2	17.1276135227797	18.5	19.8723864772203
I3	11.8109089511135	13.5	15.1890910488865
E1	23.2610226661121	24	24.7389773338879
E2	19.5220453322243	21	22.4779546677757
E3	21.9443180944459	23	24.0556819055541
A	3.47215904722296	4	4.52784095277704

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