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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 computationWed, 09 Dec 2009 08:09:37 -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/Dec/09/t1260371474btumwqjgs2cjyy8.htm/, Retrieved Mon, 29 Apr 2024 10:44:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64987, Retrieved Mon, 29 Apr 2024 10:44:57 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Notched Boxplots] [] [2009-11-09 10:44:19] [1e83ffa964db6f7ea6ccc4e7b5acbbff]
-    D  [Notched Boxplots] [WS6 Notched Boxplots] [2009-11-13 09:13:16] [1d635fe1113b56bab3f378c464a289bc]
-           [Notched Boxplots] [Paper: Notched Bo...] [2009-12-09 15:09:37] [762da55b2e2304daaed24a7cc507d14d] [Current]
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Dataseries X:
84	122.2	83.4	108.8
78	122.6	113.6	128.4
74	122.2	112.9	121.1
75	118.8	104	119.5
79	119	109.9	128.7
79	118.2	99	108.7
82	117.8	106.3	105.5
88	116.8	128.9	119.8
81	114.6	111.1	111.3
69	113.4	102.9	110.6
62	113.8	130	120.1
62	124.2	87	97.5
68	125.8	87.5	107.7
57	125.6	117.6	127.3
67	122.4	103.4	117.2
72	119	110.8	119.8
75	119.4	112.6	116.2
81	118.6	102.5	111
80	118	112.4	112.4
79	116	135.6	130.6
81	114.8	105.1	109.1
83	114.6	127.7	118.8
84	114.6	137	123.9
90	124	91	101.6
84	125.2	90.5	112.8
90	124	122.4	128
92	117.6	123.3	129.6
93	113.2	124.3	125.8
85	111.4	120	119.5
93	112.2	118.1	115.7
94	109.8	119	113.6
94	106.4	142.7	129.7
102	105.2	123.6	112
96	102.2	129.6	116.8
96	99.8	151.6	127
92	111	110.4	112.1
90	113	99.2	114.2
84	108.4	130.5	121.1
86	105.4	136.2	131.6
70	102	129.7	125
67	102.8	128	120.4
60	103.4	121.6	117.7
62	101.6	135.8	117.5
61	98.6	143.8	120.6
54	98	147.5	127.5
50	93.8	136.2	112.3
45	95.6	156.6	124.5
34	105.6	123.3	115.2
37	106.8	104.5	104.7
44	103.6	139.8	130.9
34	101.2	136.5	129.2
37	100.4	112.1	113.5
31	103.2	118.5	125.6
31	105.6	94.4	107.6
28	106.6	102.3	107
31	107.2	111.4	121.6
33	107.4	99.2	110.7
36	104.8	87.8	106.3
39	107.2	115.8	118.6
42	117.4	79.7	104.6




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=64987&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=64987&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64987&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
consvert28527584.5102
werkl93.8105112.6118.4125.8
investg79.7103.7116.7129.65156.6
consg97.5111.15117.6124.75131.6

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
consvert & 28 & 52 & 75 & 84.5 & 102 \tabularnewline
werkl & 93.8 & 105 & 112.6 & 118.4 & 125.8 \tabularnewline
investg & 79.7 & 103.7 & 116.7 & 129.65 & 156.6 \tabularnewline
consg & 97.5 & 111.15 & 117.6 & 124.75 & 131.6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64987&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]consvert[/C][C]28[/C][C]52[/C][C]75[/C][C]84.5[/C][C]102[/C][/ROW]
[ROW][C]werkl[/C][C]93.8[/C][C]105[/C][C]112.6[/C][C]118.4[/C][C]125.8[/C][/ROW]
[ROW][C]investg[/C][C]79.7[/C][C]103.7[/C][C]116.7[/C][C]129.65[/C][C]156.6[/C][/ROW]
[ROW][C]consg[/C][C]97.5[/C][C]111.15[/C][C]117.6[/C][C]124.75[/C][C]131.6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64987&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64987&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
consvert28527584.5102
werkl93.8105112.6118.4125.8
investg79.7103.7116.7129.65156.6
consg97.5111.15117.6124.75131.6







Boxplot Notches
Variablelower boundmedianupper bound
consvert68.37074350574167581.6292564942584
werkl109.866706553137112.6115.333293446863
investg111.406793660738116.7121.993206339262
consg114.825911128556117.6120.374088871443

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
consvert & 68.3707435057416 & 75 & 81.6292564942584 \tabularnewline
werkl & 109.866706553137 & 112.6 & 115.333293446863 \tabularnewline
investg & 111.406793660738 & 116.7 & 121.993206339262 \tabularnewline
consg & 114.825911128556 & 117.6 & 120.374088871443 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64987&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]consvert[/C][C]68.3707435057416[/C][C]75[/C][C]81.6292564942584[/C][/ROW]
[ROW][C]werkl[/C][C]109.866706553137[/C][C]112.6[/C][C]115.333293446863[/C][/ROW]
[ROW][C]investg[/C][C]111.406793660738[/C][C]116.7[/C][C]121.993206339262[/C][/ROW]
[ROW][C]consg[/C][C]114.825911128556[/C][C]117.6[/C][C]120.374088871443[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64987&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64987&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
consvert68.37074350574167581.6292564942584
werkl109.866706553137112.6115.333293446863
investg111.406793660738116.7121.993206339262
consg114.825911128556117.6120.374088871443



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')