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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 16:21:09 +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/t1287505207coq1kfrje86ol0z.htm/, Retrieved Mon, 29 Apr 2024 03:26:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86713, Retrieved Mon, 29 Apr 2024 03:26:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

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   PD    [Notched Boxplots] [] [2010-10-19 16:21:09] [583fc5a74bfa894f261a865501f20e1c] [Current]
Feedback Forum
2010-10-21 11:17:15 [] [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!

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26	21	21	23	17	23	4
20	16	15	24	17	20	4
19	19	18	22	18	20	6
20	16	8	24	20	24	8
25	23	19	27	28	22	4
22	12	20	27	22	20	8
26	19	16	24	16	25	5
22	16	14	23	18	23	4
19	13	14	27	14	22	4
24	20	8	28	11	24	4
26	27	23	27	27	25	4
13	8	9	24	22	28	4
22	13	15	25	23	25	8
21	15	19	24	24	28	7
7	5	6	20	14	21	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
23	19	15	24	23	21	4
22	19	17	23	21	21	4
21	18	20	18	24	12	15
18	12	7	23	25	28	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
15	12	9	20	18	24	16
21	17	18	25	17	22	6
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
18	20	10	22	21	21	5
20	19	14	24	20	21	4
24	17	10	25	14	24	4
24	18	9	17	20	25	4
18	17	12	20	22	23	6
21	27	16	23	20	21	4
17	19	18	20	18	17	18
22	19	18	24	24	25	4
16	11	9	24	20	23	5
21	22	19	28	19	28	4
24	20	23	25	23	19	10
24	24	22	25	26	26	5
16	16	14	18	22	18	8
16	16	14	17	20	18	8
18	11	12	22	13	21	5
20	20	12	25	22	22	4
24	20	16	26	22	27	5
17	12	11	19	20	22	14
19	8	14	25	6	28	8
20	21	13	21	21	26	8
15	18	9	13	20	10	4
22	16	13	25	23	22	6
23	18	19	26	20	21	4
16	20	13	25	24	24	7
19	20	13	25	22	25	7
19	17	14	21	18	20	6
21	15	11	24	23	23	4
24	17	18	21	21	24	8
22	23	19	25	24	24	4
18	19	15	20	21	20	10
24	17	19	23	20	20	6
24	12	15	28	11	27	4
22	24	17	23	22	23	4
23	18	8	28	27	26	4
22	20	10	24	25	23	5
20	16	12	18	18	17	4
18	20	12	20	20	21	6
25	22	20	28	24	25	4
16	16	12	21	27	27	7
20	17	14	25	21	24	8
15	12	10	18	18	27	8
19	14	18	21	15	21	10
19	23	18	22	24	24	8
16	15	7	24	22	21	5
17	17	18	15	14	15	12
28	28	9	28	28	25	4
25	23	22	23	26	22	4
20	13	11	26	17	24	6
16	19	15	20	18	23	7
23	13	14	22	11	23	8
21	22	14	26	26	22	11
23	20	20	23	23	22	8
18	10	8	21	15	24	6
20	17	17	26	22	24	7
9	18	9	23	26	25	5
25	23	22	27	20	26	8
20	17	10	19	18	21	4
21	19	12	22	19	26	5
22	18	12	25	23	28	6
27	22	20	25	24	18	4
18	16	18	25	23	20	6
16	16	16	19	27	25	16
22	16	13	25	23	22	6
20	16	17	22	18	21	6
20	18	17	20	16	18	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=86713&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=86713&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86713&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=86713&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=86713&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86713&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=86713&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=86713&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86713&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):
par1 = 8 ; par2 = 0 ;
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')