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paper notched box-plot

*Unverified author*
R Software Module: rwasp_notchedbox1.wasp (opens new window with default values)
Title produced by software: Notched Boxplots
Date of computation: Tue, 16 Dec 2008 10:12:07 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/16/t1229447610vvt8cowq6w4zsa2.htm/, Retrieved Tue, 16 Dec 2008 18:13:31 +0100
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2008/Dec/16/t1229447610vvt8cowq6w4zsa2.htm/},
    year = {2008},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
paper ntbox-plot
 
Dataseries X:
» Textbox « » Textfile « » CSV «
95.2 108 99.1 107.4 103.5 95 99 98.6 103.8 103.6 94 108 100.4 103.5 103.6 92.2 104 100.7 106.6 103.2 91 111 101.3 111 103.4 91.2 110 100.1 110.1 101.9 103.4 106 100.4 109.1 103.8 105 101 99.5 108.3 102 104.6 102 101.5 99.5 101 103.8 99 100.2 115.6 103.7 101.8 100 99.7 90.6 101.1 102.4 98 98.9 92.9 99.3 103.8 92 100.6 102 115.4 103.4 87 99.8 102.7 111.9 102 79 99.4 97.9 109 101.8 87 100.5 102.6 112.8 100.2 87 98.9 106.7 104.6 101.4 88 99.9 101.9 106.1 113.8 83 102 103.4 110.7 116 85 99.5 91.2 109.9 115.6 92 100 94.6 112.3 113 84 100.2 91.7 112.5 109.4 92 99.3 98.8 111.3 111 98 100.9 104.4 113.8 112.4 103 100.8 100.3 110.2 112.2 104 103.1 104.2 112 111 109 101.5 105.7 115.2 108.8 107 101.3 108.7 113.1 107.4 106 100 100.2 110.8 108.6 113 101.2 104.2 117.3 118.8 107 103.8 101.4 117.7 122.2 114 104.2 105.4 115.5 122.6 108 103.8 105.4 115.2 122.2 104 104.4 111.5 112.8 118.8 105 101.8 104 115.8 119 109 102 103.6 119.3 118.2 109 100.6 108.4 119.4 117.8 112 99.3 107.1 113.2 116.8 118 94.3 108.2 115.4 114.6 111 101.8 109.2 115.1 113.4 99 100.2 102.6 115.3 113.8 92 103.4 108.1 113.3 124.2 92 102.9 112.8 110.8 125.8 98 100.8 108.1 113.8 125.6 87 103.5 110.4 114.8 122.4 97 99.6 102.7 111.1 119 102 104.9 108.2 112.9 119.4 105 104.7 109.3 112 118.6 111 104.4 111.2 118.5 118 110 104.2 113.5 120.1 116 109 104.7 114.3 119.6 114.8 111 104.4 108.6 118 114.6 113 107.9 121.3 120.4 114.6 114 105.9 116.1 118.2 124 120 104.8 113.1 117.5 125.2 114 105.9 113 118.6 124 120 107 117.4 119.2 117.6 122 108.6 121.2 119.9 113.2 123 106.8 121 118.9 111.4 115 110 122 118.3 112.2 123 108.9 123.1 120.3 109.8 124 108.8 120.7 120.4 106.4 124 109.1 123.5 119.4 105.2 132 108.7 125.8 119.1 102.2 126 108.7 124.3 119.3 99.8 126 109 130.5 119.4 111 122 109.2 129.2 131.4 113 120 109.7 124.6 118.6 108.4 114 108.1 128.9 116.4 105.4 116 109.4 127.8 118.8 102 100 110.1 128.6 118.2 102.8 97 107.8 132.7 116.5
 
Output produced by software:

Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!


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
werk91103.6112.2117.9125.8
eco7998107114132
ind94.3100.2101.9105.9110.1
inv90.6103.45108.25115.85132.7
cons99.3110.75114.95118.55120.4


Boxplot Notches
Variablelower boundmedianupper bound
werk109.537271564312112.2114.862728435688
eco104.020723428601107109.979276571399
ind100.838632721439101.9102.961367278561
inv105.941060657166108.25110.558939342834
cons113.497602671443114.95116.402397328557
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/16/t1229447610vvt8cowq6w4zsa2/1pkn01229447526.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/16/t1229447610vvt8cowq6w4zsa2/1pkn01229447526.ps (open in new window)


 
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('http://www.xycoon.com/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('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/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')
 





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