| CARE Yr 7 and Yr10 ARD measure only | *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: Wed, 20 Oct 2010 19:23:21 +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/20/t1287602583kiobg2ip88jm95o.htm/, Retrieved Wed, 20 Oct 2010 21:23:05 +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/20/t1287602583kiobg2ip88jm95o.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 « | 90 87
82 84
82 92
71 84
80 84
62 69
77 84
80 84
87 85
96 89
80 83
85 86
89 91
89 90
73 77
88 88
86 88
83 88
91 102
98 103
80 84
84 87
90 88
92 93
86 88
117 113
88 95
86 99
78 85
104 105
89 105
99 96
84 88
89 93
95 93
77 83
77 83
98 93
58 69
81 86
92 90
94 87
87 92
75 75
80 89
84 88
87 87
114 113
97 102
102 101
80 87
112 105
104 101
75 79
82 86
92 95
102 104
73 79
78 86
74 81
92 92
97 97
92 87
91 94
102 105
89 88
98 105
117 113
70 69
63 69
91 100
106 113
81 88
98 104
88 94
95 91
105 103
90 95
58 69
86 86
112 108
71 83
98 102
87 94
98 113
117 113
98 93
98 105
90 88
84 90
86 92
68 81
86 86
77 85
83 86
90 97
107 103
102 102
| | 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 Notches | Variable | lower bound | median | upper bound | WJ7ARD | 86.46 | 88 | 89.54 | WJ10ARD | 87.66 | 89 | 90.34 |
| | Charts produced by software: | | http://www.freestatistics.org/blog/date/2010/Oct/20/t1287602583kiobg2ip88jm95o/1fgaa1287602599.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Oct/20/t1287602583kiobg2ip88jm95o/1fgaa1287602599.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2010/Oct/20/t1287602583kiobg2ip88jm95o/2fgaa1287602599.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Oct/20/t1287602583kiobg2ip88jm95o/2fgaa1287602599.ps (open in new window) |
| | Parameters (Session): | par1 = 3 ; par2 = TRUE ; par3 = 20 ; | | Parameters (R input): | par1 = 3 ; par2 = TRUE ; par3 = 20 ; | | 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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