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*Unverified author*
R Software Module: /rwasp_smp.wasp (opens new window with default values)
Title produced by software: Standard Deviation-Mean Plot
Date of computation: Mon, 10 May 2010 16:16:39 +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/May/10/t1273508224aex5a05i6k1miej.htm/, Retrieved Mon, 10 May 2010 18:17:06 +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/May/10/t1273508224aex5a05i6k1miej.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:
KDGP2W83
 
Dataseries X:
» Textbox « » Textfile « » CSV «
15136 16733 20016 17708 18019 19227 22893 23739 21133 22591 26786 29740 15028 17977 20008 21354 19498 22125 25817 28779 20960 22254 27392 29945 16933 17892 20533 23569 22417 22084 26580 27454 24081 23451 28991 31386 16896 20045 23471 21747 25621 23859 25500 30998 24475 23145 29701 34365 17556 22077 25702 22214 26886 23191 27831 35406 23195 25110 30009 36242 18450 21845 26488 22394 28057 25451 24872 33424 24052 28449 33533 37351 19969 21701 26249 24493 24603 26485 30723 34569 26689 26157 32064 38870 21337 19419 23166 28286 24570 24001 33151 24878 26804 28967 33311 40226 20504 23060 23562 27562 23940 24584 34303 25517 23494 29095 32903 34379 16991 21109 23740 25552 21752 20294 29009 25500 24166 26960 31222 38641 14672 17543 25453 32683 22449 22316 27595 25451 25421 25288 32568 35110 16052 22146 21198 19543 22084 23816 29961 26773 26635 26972 30207 38687 16974 21697 24 etc...
 
Output produced by software:


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


Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
117398.252041.96741322354880
220969.52775.592369206985720
325062.53932.714965516828607
418591.752751.606848734036326
524054.754078.887460652319281
625137.754241.104602577028985
719731.752976.808735878076636
824633.752778.303124210895370
926977.253843.391243420327935
1020539.752803.056114909826575
1126494.53108.022147068247139
1227921.55143.8839735489111220
1321887.253339.401880077738146
1428328.55125.5316797382112215
15286395824.4738245899413047
1622294.253295.328650782308038
17279513902.785586389978552
1830846.255814.8957786590413299
19231032805.766443119126280
20290954457.399241710359966
21309455918.7911491001812713
22230523809.972265865818867
23266504349.198623501429150
24323275920.4612995948213422
25236722918.616567256947058
26270864854.6942917826110363
2729967.754856.1284562224410885
28218483716.443192085688561
2924138.753917.950771768328715
3030247.256303.24759548614475
3122587.758128.8033303391818011
3224452.752546.301419052095279
3329596.755007.543201677519822
3419734.752680.462817624356094
3525658.53460.514075490337877
3630625.255610.5578079783412052
3721651.753301.639125747497205
3825966.252947.266685705026326
3929742.255638.871776930812084
4022021.54305.485067523369339
4127640.253166.477156610066499
4230318.756185.1822595080714474
43215815499.6687779053312671
44260863038.036317535836304


Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-1419.06648402853
beta0.219790711439122
S.D.0.041964086545167
T-STAT5.2375907480449
p-value4.90668774041361e-06


Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-5.56541890162681
beta1.36722762152273
S.D.0.231824281189568
T-STAT5.89768946767365
p-value5.57384172493935e-07
Lambda-0.367227621522732
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/May/10/t1273508224aex5a05i6k1miej/1dqg91273508197.png (open in new window)
http://www.freestatistics.org/blog/date/2010/May/10/t1273508224aex5a05i6k1miej/1dqg91273508197.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/May/10/t1273508224aex5a05i6k1miej/2ozfu1273508197.png (open in new window)
http://www.freestatistics.org/blog/date/2010/May/10/t1273508224aex5a05i6k1miej/2ozfu1273508197.ps (open in new window)


 
Parameters (Session):
par1 = 4 ;
 
Parameters (R input):
par1 = 4 ;
 
R code (references can be found in the software module):
par1 <- as.numeric(par1)
(n <- length(x))
(np <- floor(n / par1))
arr <- array(NA,dim=c(par1,np))
j <- 0
k <- 1
for (i in 1:(np*par1))
{
j = j + 1
arr[j,k] <- x[i]
if (j == par1) {
j = 0
k=k+1
}
}
arr
arr.mean <- array(NA,dim=np)
arr.sd <- array(NA,dim=np)
arr.range <- array(NA,dim=np)
for (j in 1:np)
{
arr.mean[j] <- mean(arr[,j],na.rm=TRUE)
arr.sd[j] <- sd(arr[,j],na.rm=TRUE)
arr.range[j] <- max(arr[,j],na.rm=TRUE) - min(arr[,j],na.rm=TRUE)
}
arr.mean
arr.sd
arr.range
(lm1 <- lm(arr.sd~arr.mean))
(lnlm1 <- lm(log(arr.sd)~log(arr.mean)))
(lm2 <- lm(arr.range~arr.mean))
bitmap(file='test1.png')
plot(arr.mean,arr.sd,main='Standard Deviation-Mean Plot',xlab='mean',ylab='standard deviation')
dev.off()
bitmap(file='test2.png')
plot(arr.mean,arr.range,main='Range-Mean Plot',xlab='mean',ylab='range')
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Standard Deviation-Mean Plot',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Section',header=TRUE)
a<-table.element(a,'Mean',header=TRUE)
a<-table.element(a,'Standard Deviation',header=TRUE)
a<-table.element(a,'Range',header=TRUE)
a<-table.row.end(a)
for (j in 1:np) {
a<-table.row.start(a)
a<-table.element(a,j,header=TRUE)
a<-table.element(a,arr.mean[j])
a<-table.element(a,arr.sd[j] )
a<-table.element(a,arr.range[j] )
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Regression: S.E.(k) = alpha + beta * Mean(k)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'alpha',header=TRUE)
a<-table.element(a,lm1$coefficients[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'beta',header=TRUE)
a<-table.element(a,lm1$coefficients[[2]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,summary(lm1)$coefficients[2,2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,summary(lm1)$coefficients[2,3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,summary(lm1)$coefficients[2,4])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'alpha',header=TRUE)
a<-table.element(a,lnlm1$coefficients[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'beta',header=TRUE)
a<-table.element(a,lnlm1$coefficients[[2]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,summary(lnlm1)$coefficients[2,2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,summary(lnlm1)$coefficients[2,3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,summary(lnlm1)$coefficients[2,4])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Lambda',header=TRUE)
a<-table.element(a,1-lnlm1$coefficients[[2]])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')
 





Copyright

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa


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