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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, 14 Nov 2009 13:39:56 -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/2009/Nov/14/t1258231365h4fatj3jgb3is5b.htm/, Retrieved Sat, 27 Apr 2024 13:32:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57255, Retrieved Sat, 27 Apr 2024 13:32:13 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact202
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [shw-ws6] [2009-11-13 12:26:10] [2663058f2a5dda519058ac6b2228468f]
- R  D    [Notched Boxplots] [Workshop6/Notched...] [2009-11-14 20:39:56] [f94f05f163a3ee3ab544c4fef41db0eb] [Current]
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Dataseries X:
114.08	136.49	129.57	129.41
112.95	142.62	130.02	136.76
135.31	141.71	132.91	136.76
134.31	149.51	138.25	127.94
133.03	147.39	142.68	120.59
140.11	131.96	139.61	122.06
124.69	136.38	138.49	125.00
131.68	127.34	140.48	126.47
150.95	133.85	137.68	125.00
137.26	125.14	135.09	120.59
130.51	141.25	129.46	119.12
143.15	149.32	128.09	116.18
118.01	120.92	128.09	126.47
122.56	134.85	130.81	127.94
147.97	131.93	130.42	127.94
135.74	134.22	127.86	125.00
151.62	143.07	125.42	123.53
154.82	145.37	126.17	125.00
145.59	134.32	128.80	127.94
147.12	126.31	127.04	127.94
175.86	162.21	127.91	126.47
140.66	124.09	130.58	125.00
152.69	153.91	135.89	122.06
154.38	154.34	134.62	117.65
132.45	138.70	134.98	120.59
136.44	150.98	136.33	119.12
153.24	146.39	135.44	119.12
154.11	178.30	134.20	117.65
155.93	168.23	137.08	116.18
142.53	162.52	140.61	116.18
148.73	158.86	138.33	117.65
147.73	152.17	139.13	117.65
166.79	171.01	140.92	116.18
144.30	171.49	143.83	117.65
156.07	189.62	143.78	113.24
161.70	177.46	142.80	105.88
152.10	179.98	145.96	110.29
140.45	156.96	144.96	107.35
155.56	167.89	147.88	102.94
174.53	194.78	151.40	102.94
167.16	192.78	156.26	102.94
159.48	165.06	155.05	105.88
173.22	196.60	156.62	107.35
176.13	151.64	156.94	104.41
180.31	187.02	165.23	100.00
185.84	210.99	167.62	94.12
169.43	219.08	165.55	89.71
195.25	235.68	165.51	95.59
174.99	241.44	167.82	113.24
156.42	187.46	159.36	116.18
182.08	229.57	152.92	110.29
182.00	208.44	141.77	101.47
153.28	215.09	135.49	97.06
136.72	217.00	143.12	101.47
130.19	171.08	140.89	113.24
132.04	178.41	136.05	117.65
143.89	196.34	138.87	117.65
133.38	172.11	140.36	113.24
127.98	154.93	145.26	107.35
150.45	182.26	149.15	108.82
133.55	181.74	149.92	119.12




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=57255&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=57255&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57255&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 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
InvoerEU112.95135.31147.97156.42185.84
InvoerAM120.92141.71158.86182.26241.44
USD125.42134.2139.13145.96159.36
Werkloosh89.71107.35117.65125136.76

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
InvoerEU & 112.95 & 135.31 & 147.97 & 156.42 & 185.84 \tabularnewline
InvoerAM & 120.92 & 141.71 & 158.86 & 182.26 & 241.44 \tabularnewline
USD & 125.42 & 134.2 & 139.13 & 145.96 & 159.36 \tabularnewline
Werkloosh & 89.71 & 107.35 & 117.65 & 125 & 136.76 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57255&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]InvoerEU[/C][C]112.95[/C][C]135.31[/C][C]147.97[/C][C]156.42[/C][C]185.84[/C][/ROW]
[ROW][C]InvoerAM[/C][C]120.92[/C][C]141.71[/C][C]158.86[/C][C]182.26[/C][C]241.44[/C][/ROW]
[ROW][C]USD[/C][C]125.42[/C][C]134.2[/C][C]139.13[/C][C]145.96[/C][C]159.36[/C][/ROW]
[ROW][C]Werkloosh[/C][C]89.71[/C][C]107.35[/C][C]117.65[/C][C]125[/C][C]136.76[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57255&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57255&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
Variablelower whiskerlower hingemedianupper hingeupper whisker
InvoerEU112.95135.31147.97156.42185.84
InvoerAM120.92141.71158.86182.26241.44
USD125.42134.2139.13145.96159.36
Werkloosh89.71107.35117.65125136.76







Boxplot Notches
Variablelower boundmedianupper bound
InvoerEU143.699483514094147.97152.240516485906
InvoerAM150.656805139579158.86167.063194860421
USD136.750972341343139.13141.509027658657
Werkloosh114.079435529311117.65121.220564470689

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
InvoerEU & 143.699483514094 & 147.97 & 152.240516485906 \tabularnewline
InvoerAM & 150.656805139579 & 158.86 & 167.063194860421 \tabularnewline
USD & 136.750972341343 & 139.13 & 141.509027658657 \tabularnewline
Werkloosh & 114.079435529311 & 117.65 & 121.220564470689 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57255&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]InvoerEU[/C][C]143.699483514094[/C][C]147.97[/C][C]152.240516485906[/C][/ROW]
[ROW][C]InvoerAM[/C][C]150.656805139579[/C][C]158.86[/C][C]167.063194860421[/C][/ROW]
[ROW][C]USD[/C][C]136.750972341343[/C][C]139.13[/C][C]141.509027658657[/C][/ROW]
[ROW][C]Werkloosh[/C][C]114.079435529311[/C][C]117.65[/C][C]121.220564470689[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57255&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57255&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
Variablelower boundmedianupper bound
InvoerEU143.699483514094147.97152.240516485906
InvoerAM150.656805139579158.86167.063194860421
USD136.750972341343139.13141.509027658657
Werkloosh114.079435529311117.65121.220564470689



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')