Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationFri, 13 Nov 2009 09:46:09 -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/13/t12581308778c0p3cq8uzoxl2j.htm/, Retrieved Sun, 05 May 2024 17:54:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56895, Retrieved Sun, 05 May 2024 17:54:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Notched Boxplots] [2009-11-13 16:46:09] [99bf2a1e962091d45abf4c2600a412f9] [Current]
Feedback Forum

Post a new message
Dataseries X:
101.26	91.70	77.21
101.08	74.44	81.52
100.00	100.00	100.00
98.02	74.99	87.41
96.76	76.27	64.23
97.84	105.90	71.41
107.03	74.70	51.22
110.09	71.60	48.64
110.45	78.82	55.06
110.09	88.27	63.65
107.03	76.11	54.83
107.21	82.06	40.83
106.49	78.91	83.69
106.13	84.36	74.18
105.23	99.41	85.44
103.24	93.89	79.01
102.16	109.62	67.92
102.52	106.51	80.67
111.89	79.30	53.28
113.33	94.51	54.31
113.15	99.20	57.99
110.27	90.57	60.25
107.21	85.54	58.05
107.57	109.18	34.12
106.85	109.16	95.26
106.31	96.00	89.41
104.50	116.23	106.63
103.42	93.41	83.90
103.24	102.27	83.21
103.24	106.25	75.88
111.71	87.98	58.09
112.79	90.11	54.10
111.71	95.45	57.26
105.95	100.93	67.79
101.98	78.97	56.72
100.36	88.10	34.51
101.08	90.21	91.31
98.92	80.36	80.10
95.86	97.45	97.17
94.77	80.10	78.26
92.07	78.50	77.23
89.91	97.20	82.16
100.00	81.90	65.17
101.80	87.20	55.56
97.66	72.55	59.97
94.95	105.26	75.42
91.89	80.90	59.51
92.61	72.95	38.84
93.15	83.70	93.18
91.53	91.92	91.74
88.83	83.98	93.80
88.29	87.03	101.36
84.50	78.21	79.60
86.13	91.31	83.25
95.14	74.55	64.49
96.22	72.25	54.04
93.33	83.90	62.03
91.17	76.61	70.43
90.45	78.10	49.78
92.97	91.20	35.72




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56895&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]0 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=56895&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56895&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Werk84.594.86101.53106.94113.33
Bouw71.678.86587.5996.6116.23
Auto34.1256.1469.17583.23106.63

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Werk & 84.5 & 94.86 & 101.53 & 106.94 & 113.33 \tabularnewline
Bouw & 71.6 & 78.865 & 87.59 & 96.6 & 116.23 \tabularnewline
Auto & 34.12 & 56.14 & 69.175 & 83.23 & 106.63 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56895&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]Werk[/C][C]84.5[/C][C]94.86[/C][C]101.53[/C][C]106.94[/C][C]113.33[/C][/ROW]
[ROW][C]Bouw[/C][C]71.6[/C][C]78.865[/C][C]87.59[/C][C]96.6[/C][C]116.23[/C][/ROW]
[ROW][C]Auto[/C][C]34.12[/C][C]56.14[/C][C]69.175[/C][C]83.23[/C][C]106.63[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56895&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56895&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
Werk84.594.86101.53106.94113.33
Bouw71.678.86587.5996.6116.23
Auto34.1256.1469.17583.23106.63







Boxplot Notches
Variablelower boundmedianupper bound
Werk99.0659563553649101.53103.994043644635
Bouw83.97246572536487.5991.207534274636
Auto63.64925974063269.17574.700740259368

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Werk & 99.0659563553649 & 101.53 & 103.994043644635 \tabularnewline
Bouw & 83.972465725364 & 87.59 & 91.207534274636 \tabularnewline
Auto & 63.649259740632 & 69.175 & 74.700740259368 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56895&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]Werk[/C][C]99.0659563553649[/C][C]101.53[/C][C]103.994043644635[/C][/ROW]
[ROW][C]Bouw[/C][C]83.972465725364[/C][C]87.59[/C][C]91.207534274636[/C][/ROW]
[ROW][C]Auto[/C][C]63.649259740632[/C][C]69.175[/C][C]74.700740259368[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56895&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56895&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
Werk99.0659563553649101.53103.994043644635
Bouw83.97246572536487.5991.207534274636
Auto63.64925974063269.17574.700740259368



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')