| Comparison | *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: Sat, 23 Oct 2010 13:27:51 +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/23/t12878404933ssthafvrqm8nxp.htm/, Retrieved Sat, 23 Oct 2010 15:28:13 +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/23/t12878404933ssthafvrqm8nxp.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 89 81 83
87 90 97 90 91 102
91 91 88 82 96 75
84 87 87 82 85 92
92 89 92 71 74 94
84 85 91 80 78 88
84 81 80 62 71 77
69 80 73 77 72 63
84 75 73 80 87 73
84 84 77 87 72 85
85 91 86 96 90 80
89 87 82 80 87 77
83 90 82 85 89 67
86 72 73 89 110 98
91 96 99 89 95 89
90 88 90 73 72 63
77 73 78 88 70 97
88 86 100 86 79 77
88 67 73 83 92 96
88 89 95 91 93 84
102 94 93 98 97 94
103 88 91 80 75 70
84 77 81 84 88 100
87 89 98 90 105 88
88 104 88 92 82 97
93 89 90 86 89 78
101 107 85 117 114 108
88 96 79 88 81 81
113 111 107 86 73 96
95 84 82 78 82 84
99 83 98 104 110 104
85 82 84 89 93 87
105 105 99 99 114 98
105 100 89 84 91 89
96 111 105 89 97 93
88 90 94 95 97 89
93 87 92 58 68 63
93 90 81 77 72 84
69 67 NA 77 81 82
83 84 86 98 102 105
83 84 90 58 62 70
93 96 101 81 102 94
69 67 73 92 84 101
86 90 88 94 75 83
90 83 90 87 102 88
87 78 84 75 62 69
92 100 89 80 100 94
75 67 73 84 82 82
89 94 98 87 78 82
88 89 82 114 106 109
87 89 77 97 88 86
113 111 107 102 85 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 | 90.62 | 10.03 | WJ10AMA | 89.61 | 11.35 | WJ10AKN | 89.8 | 9.66 | WJ7ARD | 88.04 | 12.61 | WJ7AMA | 89.58 | 12.76 | WJ7AKN | 89.99 | 12.42 |
| | Charts produced by software: | | http://www.freestatistics.org/blog/date/2010/Oct/23/t12878404933ssthafvrqm8nxp/1c3fe1287840467.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Oct/23/t12878404933ssthafvrqm8nxp/1c3fe1287840467.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2010/Oct/23/t12878404933ssthafvrqm8nxp/2ncfh1287840467.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Oct/23/t12878404933ssthafvrqm8nxp/2ncfh1287840467.ps (open in new window) |
| | Parameters (Session): | par1 = 3 ; par2 = FALSE ; par3 = 0 ; | | Parameters (R input): | par1 = 3 ; par2 = FALSE ; par3 = 0 ; | | 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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