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Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationFri, 14 Dec 2007 13:42:36 -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/2007/Dec/14/t1197664173eqjmm1stvd850u2.htm/, Retrieved Thu, 02 May 2024 21:19:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14379, Retrieved Thu, 02 May 2024 21:19:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2007-12-14 20:42:36] [08dd272ca8e03250ad3b8b2b98784b66] [Current]
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Dataseries X:
85.6	92.81	75.6
89	59.04	48.7
97.5	72.81	111.7
104	91.81	119.5
99.4	68.07	103.4
103.2	49.16	96.3
103	124.61	96.6
91.2	109.89	110.4
85.9	110.51	104.4
80.7	114.77	110.7
86.7	92.37	93.6
80.7	103.63	114.8
81.5	90.43	74.9
83.4	65.86	69.8
83.5	83.33	104.2
89.5	94.49	109.3
85.8	68.98	92.7
77.4	55.46	91.7
67.5	132.89	84.4
63.7	121.71	94.5
59.4	127.01	103.6
62	134.04	105.9
62.4	106.48	108
58.1	117.55	119.9
58	101.61	84.5
56.3	82.66	76.7
61.4	89.28	120.5
59.8	109.24	119.6
54.3	88.16	102.3
47	59.23	101.7
50.5	164.21	86.9
48.1	125.13	93.6
58.8	152.68	113.6
70.4	132.96	106.7
71.9	112.42	96.1
73.3	136.43	124.6
83.5	107.32	72.5
90.1	87.61	89
101.3	97.86	115.3
98.3	106.60	119.1
106.7	92.17	104.4
109.9	65.31	104.9
111.1	161.49	76.9
119	162.25	95.3
120.7	175.13	114.9
104.5	147.28	98.9
121.6	144.48	102.9
129.6	122.67	90
124.5	102.27	81
130.1	88.64	66.2
142.3	89.59	86.7
140	112.20	86.7
143.3	91.98	103.4
113.4	57.85	89.5
113.8	160.49	113.7
120.7	128.33	120.2
112.9	140.69	137.8
115.5	126.61	99.1
121.9	129.27	110.4
119.3	124.27	112.3
111	112.90	82.2
114.2	92.54	72.2
113.5	85.70	106.7
94	116.72	106.4
83.2	92.08	110
82.8	58.98	87.5
85.8	154.50	79.7
88.7	145.55	83.3
105.3	146.60	91.8
113.1	143.51	89.2
113.8	113.52	90.6
109.4	104.80	92.6
113.9	96.68	61




Summary of compuational 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 compuational 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=14379&T=0

[TABLE]
[ROW][C]Summary of compuational 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=14379&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14379&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 compuational 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
olie4777.491.2113.4143.3
wagens49.1689.59107.32128.33175.13
transportm6186.998.9110137.8

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
olie & 47 & 77.4 & 91.2 & 113.4 & 143.3 \tabularnewline
wagens & 49.16 & 89.59 & 107.32 & 128.33 & 175.13 \tabularnewline
transportm & 61 & 86.9 & 98.9 & 110 & 137.8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14379&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]olie[/C][C]47[/C][C]77.4[/C][C]91.2[/C][C]113.4[/C][C]143.3[/C][/ROW]
[ROW][C]wagens[/C][C]49.16[/C][C]89.59[/C][C]107.32[/C][C]128.33[/C][C]175.13[/C][/ROW]
[ROW][C]transportm[/C][C]61[/C][C]86.9[/C][C]98.9[/C][C]110[/C][C]137.8[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14379&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14379&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
olie4777.491.2113.4143.3
wagens49.1689.59107.32128.33175.13
transportm6186.998.9110137.8







Boxplot Notches
Variablelower boundmedianupper bound
olie84.54269954748491.297.857300452516
wagens100.156005013043107.32114.483994986957
transportm94.628232209635698.9103.171767790364

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
olie & 84.542699547484 & 91.2 & 97.857300452516 \tabularnewline
wagens & 100.156005013043 & 107.32 & 114.483994986957 \tabularnewline
transportm & 94.6282322096356 & 98.9 & 103.171767790364 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14379&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]olie[/C][C]84.542699547484[/C][C]91.2[/C][C]97.857300452516[/C][/ROW]
[ROW][C]wagens[/C][C]100.156005013043[/C][C]107.32[/C][C]114.483994986957[/C][/ROW]
[ROW][C]transportm[/C][C]94.6282322096356[/C][C]98.9[/C][C]103.171767790364[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14379&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14379&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
olie84.54269954748491.297.857300452516
wagens100.156005013043107.32114.483994986957
transportm94.628232209635698.9103.171767790364



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')