| compendium 3 boxplot yr10 10% 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: Mon, 25 Oct 2010 20:44:52 +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/25/t1288040324ejesj2x4ndxiptz.htm/, Retrieved Mon, 25 Oct 2010 22:58:47 +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/25/t1288040324ejesj2x4ndxiptz.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 88 84 95
87 90 98 97 92
91 91 89 88 95
84 87 81 87 97
92 89 88 92 92
84 85 95 91 104
84 81 79 80 79
69 80 91 73 78
84 75 80 73 79
84 84 91 77 86
85 91 85 86 92
89 87 94 82 78
83 90 86 82 86
86 72 82 73 71
91 96 107 99 90
90 88 97 90 93
77 73 78 78 80
88 86 91 100 90
88 67 74 73 77
88 89 95 95 86
102 94 97 93 89
103 88 112 91 88
84 77 80 81 86
87 89 98 98 97
88 104 102 88 81
93 89 100 90 88
101 107 97 85 82
88 96 92 79 82
113 111 114 107 100
95 84 88 82 91
99 83 96 98 111
85 82 91 84 102
105 105 114 99 105
105 100 91 89 92
96 111 114 105 100
88 90 89 94 82
93 87 103 92 91
93 90 83 81 71
69 67 74 NA 71
83 84 88 86 89
83 84 88 90 82
93 96 98 101 105
69 67 74 73 71
86 90 86 88 91
90 83 93 90 105
87 78 85 84 82
92 100 91 89 86
75 67 75 73 72
89 94 97 98 98
88 89 88 82 80
87 89 79 77 84
113 111 106 107 109
102 88 102 84 80
101 94 98 93 112
87 111 98 96 86
105 111 114 107 112
101 105 95 95 90
79 97 98 89 96
86 83 82 82 84
95 105 97 92 94
104 69 94 100 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!
Boxplot Means | Variable | trimmed mean | unbiased SD | WJ10ARD | 91.01 | 6.57 | WJ10AMA | 90.33 | 8.25 | WJ10AFS | 92.69 | 6.89 | WJ10AKN | 89.7 | 6.39 | WJ10AVA | 90.07 | 7.65 |
| | Charts produced by software: | | http://www.freestatistics.org/blog/date/2010/Oct/25/t1288040324ejesj2x4ndxiptz/1pgw61288039490.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Oct/25/t1288040324ejesj2x4ndxiptz/1pgw61288039490.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2010/Oct/25/t1288040324ejesj2x4ndxiptz/20qdr1288039490.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Oct/25/t1288040324ejesj2x4ndxiptz/20qdr1288039490.ps (open in new window) |
| | Parameters (Session): | par1 = 6 ; par2 = FALSE ; par3 = 10 ; | | Parameters (R input): | par1 = 6 ; par2 = FALSE ; par3 = 10 ; | | 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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