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WJ10AVA, WJ10AMA, WJ10AKN - 5% trim

*The author of this computation has been verified*
R Software Module: Ian.Holliday/rwasp_CARE Data Boxplot.wasp (opens new window with default values)
Title produced by software: CARE Data - Boxplots and Scatterplot Matrix
Date of computation: Sun, 24 Oct 2010 20:22:00 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Oct/24/t1287951842dupet4qmpnk1tz4.htm/, Retrieved Sun, 24 Oct 2010 22:24:04 +0200
 
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/2010/Oct/24/t1287951842dupet4qmpnk1tz4.htm/},
    year = {2010},
}
@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 = {2010},
    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:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
95 81 84 92 90 97 95 91 88 97 87 87 92 89 92 104 85 91 79 81 80 78 80 73 79 75 73 86 84 77 92 91 86 78 87 82 86 90 82 71 72 73 90 96 99 93 88 90 80 73 78 90 86 100 77 67 73 86 89 95 89 94 93 88 88 91 86 77 81 97 89 98 81 104 88 88 89 90 82 107 85 82 96 79 100 111 107 91 84 82 111 83 98 102 82 84 105 105 99 92 100 89 100 111 105 82 90 94 91 87 92 71 90 81 71 67 NA 89 84 86 82 84 90 105 96 101 71 67 73 91 90 88 105 83 90 82 78 84 86 100 89 72 67 73 98 94 98 80 89 82 84 89 77 109 111 107 80 88 84 112 94 93 86 111 96 112 111 107 90 105 95 96 97 89 84 83 82 94 105 92 112 69 100 81 80 75 105 87 94 77 67 83 105 92 92 112 102 102 91 90 98 92 98 94 72 94 83 100 101 107 103 96 107 89 94 91 86 105 83 112 105 100 71 84 77 73 72 74 99 96 92 85 94 100 80 107 92 88 103 93 95 95 89 86 73 86 92 110 97 96 84 82 71 67 73 88 73 93 98 84 97 108 79 93 103 91 89 81 92 86 96 107 89 112 111 107 95 89 90 925 10 104 103 98 96 95 95 93 94 etc...
 
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
WJ10AVA71849197112
WJ10AMA67849096110
WJ10AKN73839095107


Boxplot Means
Variabletrimmed meanunbiased SD
WJ10AVA90.899.82
WJ10AMA89.9410.18
WJ10AKN89.737.92
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Oct/24/t1287951842dupet4qmpnk1tz4/189ul1287951718.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Oct/24/t1287951842dupet4qmpnk1tz4/189ul1287951718.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Oct/24/t1287951842dupet4qmpnk1tz4/289ul1287951718.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Oct/24/t1287951842dupet4qmpnk1tz4/289ul1287951718.ps (open in new window)


 
Parameters (Session):
par1 = 3 ; par2 = FALSE ; par3 = 5 ;
 
Parameters (R input):
par1 = 3 ; par2 = FALSE ; par3 = 5 ;
 
R code (references can be found in the software module):
par1 <- as.numeric(par1) #colour
par2<- as.logical(par2) # Notches ?
par3<-as.numeric(par3) # % trim
if(par3>45){par3<-45;warning('trim limited to 45%')}
if(par3<0){par3<-0;warning('negative trim makes no sense. Trim is zero.')}
lotrm<-as.integer(length(y[1,])*par3/100)+1
hitrm<-as.integer(length(y[1,])*(100-par3)/100)
y1<-array(dim=c(dim(y)[1], hitrm-lotrm+1), dimnames=list(dimnames(y)[[1]], 1:(hitrm-lotrm+1) ))
for(i in 1:dim(y)[1]){
tmp<-order(y[i,])
y1[i,]<- y[i, tmp[lotrm:hitrm] ]
}
bitmap(file='test2.png')
pairs(t(y))
dev.off()
y<-y1
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=par2,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,round(r$stats[j,i], digits=2))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
if (par2){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,round(r$conf[1,i], digits=2))
a<-table.element(a, round(r$stats[3,i], digits=2))
a<-table.element(a,round(r$conf[2,i], digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Means',4,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/trimmed_mean.htm','trimmed mean','definition of trimmed mean'),1,TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/unbiased1.htm','unbiased SD','definition of unbiased SD'),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,round(mean(z[i], trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(z[i], na.rm=TRUE), digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
 





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