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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 computationSat, 13 Dec 2008 06:16:58 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/13/t1229174314n3owa6zmyebcjm7.htm/, Retrieved Sat, 18 May 2024 12:38:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33057, Retrieved Sat, 18 May 2024 12:38:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Central Tendency:...] [2008-12-12 13:08:46] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
- RMPD  [Mean Plot] [Mean Plot - Goudp...] [2008-12-12 14:53:25] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
- RMPD    [Notched Boxplots] [Notched boxplot: ...] [2008-12-13 13:10:25] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
-    D        [Notched Boxplots] [Notched boxplot: ...] [2008-12-13 13:16:58] [14a75ec03b2c0d8ddd8b141a7b1594fd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26,54	19,32	27,46	29,59	40,22	57,42	62,5	90,6
25,85	19,82	30,23	30,7	44,23	63,52	55,04	92,23
27,6	20,36	32,33	30,52	45,85	61,71	58,34	94,09
25,71	24,31	29,87	32,67	53,38	63,01	61,92	102,79
25,38	25,97	24,87	33,19	53,26	68,18	67,65	109,65
28,57	25,61	25,48	37,13	51,8	72,03	67,68	124,05
27,64	24,67	27,28	35,54	55,3	69,75	70,3	132,69
25,36	25,59	28,24	37,75	57,81	74,41	75,26	135,81
25,9	26,09	29,58	41,84	63,96	74,33	71,44	116,07
26,29	28,37	26,95	42,94	63,77	64,24	76,36	101,42
21,74	27,34	29,08	49,14	59,15	60,03	81,71	75,73
19,2	24,46	28,76	44,61	56,12	59,44	92,6	55,48

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=33057&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=33057&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33057&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Jaar125.3625.3725.87527.0728.57
jaar219.3222.33525.1326.0328.37
jaar324.8727.11528.529.72532.33
jaar429.5931.68536.33542.3949.14
jaar540.2248.82554.3458.4863.96
Jaar657.4260.8763.8870.8974.41
Jaar755.0462.2168.9975.8192.6
jaar855.4891.415102.105120.06135.81

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Jaar1 & 25.36 & 25.37 & 25.875 & 27.07 & 28.57 \tabularnewline
jaar2 & 19.32 & 22.335 & 25.13 & 26.03 & 28.37 \tabularnewline
jaar3 & 24.87 & 27.115 & 28.5 & 29.725 & 32.33 \tabularnewline
jaar4 & 29.59 & 31.685 & 36.335 & 42.39 & 49.14 \tabularnewline
jaar5 & 40.22 & 48.825 & 54.34 & 58.48 & 63.96 \tabularnewline
Jaar6 & 57.42 & 60.87 & 63.88 & 70.89 & 74.41 \tabularnewline
Jaar7 & 55.04 & 62.21 & 68.99 & 75.81 & 92.6 \tabularnewline
jaar8 & 55.48 & 91.415 & 102.105 & 120.06 & 135.81 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33057&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]Jaar1[/C][C]25.36[/C][C]25.37[/C][C]25.875[/C][C]27.07[/C][C]28.57[/C][/ROW]
[ROW][C]jaar2[/C][C]19.32[/C][C]22.335[/C][C]25.13[/C][C]26.03[/C][C]28.37[/C][/ROW]
[ROW][C]jaar3[/C][C]24.87[/C][C]27.115[/C][C]28.5[/C][C]29.725[/C][C]32.33[/C][/ROW]
[ROW][C]jaar4[/C][C]29.59[/C][C]31.685[/C][C]36.335[/C][C]42.39[/C][C]49.14[/C][/ROW]
[ROW][C]jaar5[/C][C]40.22[/C][C]48.825[/C][C]54.34[/C][C]58.48[/C][C]63.96[/C][/ROW]
[ROW][C]Jaar6[/C][C]57.42[/C][C]60.87[/C][C]63.88[/C][C]70.89[/C][C]74.41[/C][/ROW]
[ROW][C]Jaar7[/C][C]55.04[/C][C]62.21[/C][C]68.99[/C][C]75.81[/C][C]92.6[/C][/ROW]
[ROW][C]jaar8[/C][C]55.48[/C][C]91.415[/C][C]102.105[/C][C]120.06[/C][C]135.81[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33057&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33057&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
Jaar125.3625.3725.87527.0728.57
jaar219.3222.33525.1326.0328.37
jaar324.8727.11528.529.72532.33
jaar429.5931.68536.33542.3949.14
jaar540.2248.82554.3458.4863.96
Jaar657.4260.8763.8870.8974.41
Jaar755.0462.2168.9975.8192.6
jaar855.4891.415102.105120.06135.81






Boxplot Notches
Variablelower boundmedianupper bound
Jaar125.099618588478325.87526.6503814115217
jaar223.444685696722025.1326.815314303278
jaar327.309561479957928.529.6904385200421
jaar431.452377640976836.33541.2176223590232
jaar549.936289689269654.3458.7437103107304
Jaar659.309810739148863.8868.4501892608512
Jaar762.786948707826768.9975.1930512921734
jaar889.0398232158599102.105115.170176784140

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Jaar1 & 25.0996185884783 & 25.875 & 26.6503814115217 \tabularnewline
jaar2 & 23.4446856967220 & 25.13 & 26.815314303278 \tabularnewline
jaar3 & 27.3095614799579 & 28.5 & 29.6904385200421 \tabularnewline
jaar4 & 31.4523776409768 & 36.335 & 41.2176223590232 \tabularnewline
jaar5 & 49.9362896892696 & 54.34 & 58.7437103107304 \tabularnewline
Jaar6 & 59.3098107391488 & 63.88 & 68.4501892608512 \tabularnewline
Jaar7 & 62.7869487078267 & 68.99 & 75.1930512921734 \tabularnewline
jaar8 & 89.0398232158599 & 102.105 & 115.170176784140 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33057&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]Jaar1[/C][C]25.0996185884783[/C][C]25.875[/C][C]26.6503814115217[/C][/ROW]
[ROW][C]jaar2[/C][C]23.4446856967220[/C][C]25.13[/C][C]26.815314303278[/C][/ROW]
[ROW][C]jaar3[/C][C]27.3095614799579[/C][C]28.5[/C][C]29.6904385200421[/C][/ROW]
[ROW][C]jaar4[/C][C]31.4523776409768[/C][C]36.335[/C][C]41.2176223590232[/C][/ROW]
[ROW][C]jaar5[/C][C]49.9362896892696[/C][C]54.34[/C][C]58.7437103107304[/C][/ROW]
[ROW][C]Jaar6[/C][C]59.3098107391488[/C][C]63.88[/C][C]68.4501892608512[/C][/ROW]
[ROW][C]Jaar7[/C][C]62.7869487078267[/C][C]68.99[/C][C]75.1930512921734[/C][/ROW]
[ROW][C]jaar8[/C][C]89.0398232158599[/C][C]102.105[/C][C]115.170176784140[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33057&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33057&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
Jaar125.099618588478325.87526.6503814115217
jaar223.444685696722025.1326.815314303278
jaar327.309561479957928.529.6904385200421
jaar431.452377640976836.33541.2176223590232
jaar549.936289689269654.3458.7437103107304
Jaar659.309810739148863.8868.4501892608512
Jaar762.786948707826768.9975.1930512921734
jaar889.0398232158599102.105115.170176784140


Figures (Output of Computation)

Input Parameters & R Code

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')