| | *The author of this computation has been verified* | R Software Module: /rwasp_boxcoxlin.wasp (opens new window with default values) | Title produced by software: Box-Cox Linearity Plot | Date of computation: Fri, 13 Nov 2009 06:56:54 -0700 | | Cite this page as follows: | Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Nov/13/t1258120697h0gy44l6qglu51y.htm/, Retrieved Fri, 13 Nov 2009 14:58:24 +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/2009/Nov/13/t1258120697h0gy44l6qglu51y.htm/},
year = {2009},
}
@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 = {2009},
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 « | 100
96,66958808
91,06047327
89,04469763
82,90972831
84,04907975
91,76161262
90,09640666
85,97721297
99,82471516
70,90271691
83,87379492
99,21121823
92,81332165
95,3549518
89,65819457
86,76599474
88,25591586
101,2269939
88,25591586
96,3190184
100,4382121
74,84662577
88,08063103
100,6134969
102,1034181
98,94829097
89,39526731
92,90096407
92,28746713
104,1191937
92,98860649
95,79316389
102,716915
81,06923751
91,32340053
98,5977213
107,2743208
99,29886065
87,64241893
97,02015776
98,86064855
96,23137599
102,8045574
95,61787905
101,5775635
84,13672217
87,46713409
102,3663453
101,4022787
87,11656442
82,64680105
79,75460123
81,68273444
90,35933392
82,47151621
80,45574058
90,00876424
72,39263804
78,08939527
| | Dataseries Y: | » Textbox « » Textfile « » CSV « | 100
111,8629088
94,1225572
67,79436315
146,0424236
125,6555043
142,8655602
130,0304429
110,0117843
132,789944
88,23529412
91,96700383
96,65128155
97,14720613
90,7345576
52,52872434
156,9085731
144,8787194
169,4294412
133,3840715
131,2776196
116,32623
89,15349111
85,08298144
89,38917804
103,0884808
85,34812923
45,9933222
152,823333
130,3692429
150,5008347
126,971423
123,2446234
126,5737013
100,2553275
91,76077777
100,2847884
121,6537366
97,28960031
62,54541884
154,9936168
147,8493568
147,3976235
156,8005499
126,8093882
131,7637239
99,20946676
87,34655799
100,7561622
110,5666307
76,46076795
56,51085142
124,9484435
118,2853776
136,4332711
128,6212315
100,7365217
111,7499754
93,43022685
83,3300599
| | Output produced by software: |
Box-Cox Linearity Plot | # observations x | 60 | maximum correlation | 0.314273923905249 | optimal lambda(x) | 2 | Residual SD (orginial) | 26.8436170040198 | Residual SD (transformed) | 26.8348500573646 |
| Charts produced by software: | | http://www.freestatistics.org/blog/date/2009/Nov/13/t1258120697h0gy44l6qglu51y/10k0r1258120611.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/13/t1258120697h0gy44l6qglu51y/10k0r1258120611.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/13/t1258120697h0gy44l6qglu51y/2qez31258120611.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/13/t1258120697h0gy44l6qglu51y/2qez31258120611.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/13/t1258120697h0gy44l6qglu51y/3png01258120611.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/13/t1258120697h0gy44l6qglu51y/3png01258120611.ps (open in new window) |
| | Parameters (Session): | | | Parameters (R input): | | | R code (references can be found in the software module): | n <- length(x)
c <- array(NA,dim=c(401))
l <- array(NA,dim=c(401))
mx <- 0
mxli <- -999
for (i in 1:401)
{
l[i] <- (i-201)/100
if (l[i] != 0)
{
x1 <- (x^l[i] - 1) / l[i]
} else {
x1 <- log(x)
}
c[i] <- cor(x1,y)
if (mx < abs(c[i]))
{
mx <- abs(c[i])
mxli <- l[i]
}
}
c
mx
mxli
if (mxli != 0)
{
x1 <- (x^mxli - 1) / mxli
} else {
x1 <- log(x)
}
r<-lm(y~x)
se <- sqrt(var(r$residuals))
r1 <- lm(y~x1)
se1 <- sqrt(var(r1$residuals))
bitmap(file='test1.png')
plot(l,c,main='Box-Cox Linearity Plot',xlab='Lambda',ylab='correlation')
grid()
dev.off()
bitmap(file='test2.png')
plot(x,y,main='Linear Fit of Original Data',xlab='x',ylab='y')
abline(r)
grid()
mtext(paste('Residual Standard Deviation = ',se))
dev.off()
bitmap(file='test3.png')
plot(x1,y,main='Linear Fit of Transformed Data',xlab='x',ylab='y')
abline(r1)
grid()
mtext(paste('Residual Standard Deviation = ',se1))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Box-Cox Linearity Plot',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'# observations x',header=TRUE)
a<-table.element(a,n)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'maximum correlation',header=TRUE)
a<-table.element(a,mx)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'optimal lambda(x)',header=TRUE)
a<-table.element(a,mxli)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Residual SD (orginial)',header=TRUE)
a<-table.element(a,se)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Residual SD (transformed)',header=TRUE)
a<-table.element(a,se1)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
| |
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