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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationTue, 19 Oct 2010 09:22:21 +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/19/t1287480076qcs5qb59kstc6kx.htm/, Retrieved Sun, 28 Apr 2024 22:40:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86052, Retrieved Sun, 28 Apr 2024 22:40:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact187

Tree of Dependent Computations

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    D    [Notched Boxplots] [WS3 Q4 - Males] [2010-10-19 09:22:21] [aa6b599ccd367bc74fed0d8f67004a46] [Current]
-    D      [Notched Boxplots] [WS3 Q4 - Females] [2010-10-19 09:24:09] [afe9379cca749d06b3d6872e02cc47ed]
-   P         [Notched Boxplots] [] [2010-10-19 14:29:16] [b64b273f7a25c5bb07ff2f026b8ce952]
- R           [Notched Boxplots] [WS3 - 4 vrouwen] [2012-10-15 08:51:09] [74be16979710d4c4e7c6647856088456]
- R           [Notched Boxplots] [Academic motivati...] [2012-10-15 15:11:25] [74be16979710d4c4e7c6647856088456]
-   PD      [Notched Boxplots] [Mannen (1)] [2010-10-19 10:35:10] [945bcebba5e7ac34a41d6888338a1ba9]
F    D        [Notched Boxplots] [Mannen (1)] [2010-10-19 10:47:39] [945bcebba5e7ac34a41d6888338a1ba9]
F               [Notched Boxplots] [Vrouwen (2)] [2010-10-19 10:50:14] [945bcebba5e7ac34a41d6888338a1ba9]
-                 [Notched Boxplots] [] [2010-10-19 15:53:49] [f72e5115d7374b3b3f29ba3966e5379d]
-               [Notched Boxplots] [] [2010-10-19 15:52:56] [f72e5115d7374b3b3f29ba3966e5379d]
-   P       [Notched Boxplots] [] [2010-10-19 14:25:33] [b64b273f7a25c5bb07ff2f026b8ce952]
- R PD      [Notched Boxplots] [Mannen Boxplot w3] [2012-10-14 08:00:48] [87b90d598c60c012567ac118c8f3a654]
-  M          [Notched Boxplots] [WS 3 - Q 4.2] [2012-10-16 09:38:38] [0604709baf8ca89a71bc0fcadc3cdffd]
- R         [Notched Boxplots] [WS3 - 4 mannen] [2012-10-15 08:50:24] [74be16979710d4c4e7c6647856088456]
- R  D      [Notched Boxplots] [Academic motivati...] [2012-10-15 15:08:47] [74be16979710d4c4e7c6647856088456]
Feedback Forum
2010-10-22 11:10:05 [abfc2690eac87da053eb0d612ccdbe5b] [reply] 
Dat is niet helemaal correct. Er zijn wel een aantal significante verschillen op te merken (vergelijk de notches van de boxplots met elkaar- overlappen? Niet-significante verschillen – niet overlappen? Significante verschillen). Zo is ere en significant verschil tussen de eerste en tweede intrinsieke motivaties tussen mannen en vrouwen.
2010-10-24 10:15:45 [201022de16daa1dc0c172603d7d3cd57] [reply] 
Het is juist dat zowel mannen als vrouwen extrinsiek gemotiveerd worden, maar er is wel duidelijk een verschil te merken tussen mannen en vrouwen. Deze verschillen zijn te vinden bij I1 en I2 en ook bij Amotivation. Als je deze computatie in 1 blog had kunnen maken had dit veel duidelijker geweest om vast te stellen. Dan had je een veel beter zicht gehad op de notches van de boxplot. Voor I1, I2 en Amotivation overlappen deze elkaar niet. Wat er op wijst dat er dus wel degelijk een significant verschil is.

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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86052&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86052&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86052&T=0

As an alternative you can also use a QR Code:  
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
I11318202328
I21016182025
I3511141823
E11521232528
E21118212328
E31521232528
A445814

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
I1 & 13 & 18 & 20 & 23 & 28 \tabularnewline
I2 & 10 & 16 & 18 & 20 & 25 \tabularnewline
I3 & 5 & 11 & 14 & 18 & 23 \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=86052&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]20[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]I2[/C][C]10[/C][C]16[/C][C]18[/C][C]20[/C][C]25[/C][/ROW]
[ROW][C]I3[/C][C]5[/C][C]11[/C][C]14[/C][C]18[/C][C]23[/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=86052&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86052&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
I11318202328
I21016182025
I3511141823
E11521232528
E21118212328
E31521232528
A445814






Boxplot Notches
Variablelower boundmedianupper bound
I119.20197948980382020.7980205101962
I217.3615835918431818.638416408157
I312.88277128572531415.1172287142747
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
I1 & 19.2019794898038 & 20 & 20.7980205101962 \tabularnewline
I2 & 17.361583591843 & 18 & 18.638416408157 \tabularnewline
I3 & 12.8827712857253 & 14 & 15.1172287142747 \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=86052&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]19.2019794898038[/C][C]20[/C][C]20.7980205101962[/C][/ROW]
[ROW][C]I2[/C][C]17.361583591843[/C][C]18[/C][C]18.638416408157[/C][/ROW]
[ROW][C]I3[/C][C]12.8827712857253[/C][C]14[/C][C]15.1172287142747[/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=86052&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86052&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot Notches
Variablelower boundmedianupper bound
I119.20197948980382020.7980205101962
I217.3615835918431818.638416408157
I312.88277128572531415.1172287142747
E122.3615835918432323.638416408157
E220.20197948980382121.7980205101962
E322.3615835918432323.638416408157
A4.36158359184355.638416408157


Figures (Output of Computation)

Input Parameters & R Code

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')