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centrummaten eigen reeks - Wouters Danai

R Software Module: rwasp_centraltendency.wasp (opens new window with default values)
Title produced by software: Central Tendency
Date of computation: Mon, 21 Apr 2008 05:04:52 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Apr/21/t12087759611cr4x1lr99znkus.htm/, Retrieved Mon, 21 Apr 2008 13:06:03 +0200
 
User-defined keywords:
 
Dataseries X:
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411013 412218 492982 501175 506949 491951 565441 575772 572507 548752 621486 615237 588119 552118 624447 615482 595130 526883 562254 545427 522084 483414 528797 532749 511380 472941 516118 502940 476118 432418 475525 453638 431417 390934 436414 418451 399528 367749 423433 420450 415906 392949 453203 455926 451879 434996 498811 505940 517395 508456 585132 587971 584027 557196 613433 600049 588993 559271 622580 616645 603243 557949 608882 582930 570492 542907 598067 568717 551773 514465 569055 528897 515229 481141 535612 498547 478587 445911 503412 469797 458365 436761 502205 481627 473698 457200 521671 513354 515369 505652 575676 555865 559504 540994 605635 600315 588224 569861 625950 601554 587760 573307 621764 570214 547034 511873 553870
 
Text written by user:
 
Output produced by software:


Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean523864.616822436245.9913530301583.8721328950102
Geometric Mean519750.977933596
Harmonic Mean515474.152491362
Quadratic Mean527796.790445543
Winsorized Mean ( 1 / 35 )524067.2523364496196.3137090139184.5772626996074
Winsorized Mean ( 2 / 35 )524070.0186915896183.4400965348284.7537957043161
Winsorized Mean ( 3 / 35 )524231.5981308416143.8945701940385.325617512067
Winsorized Mean ( 4 / 35 )524650.5514018696063.2499141666986.5295936715443
Winsorized Mean ( 5 / 35 )524480.6448598136019.9380100695987.1239278515012
Winsorized Mean ( 6 / 35 )524622.233644865974.6067358412587.8086637062967
Winsorized Mean ( 7 / 35 )524772.700934585943.9671639810388.2866083303037
Winsorized Mean ( 8 / 35 )524787.2803738325899.6452474244988.952345160572
Winsorized Mean ( 9 / 35 )524655.3925233655804.7357574529190.384026843899
Winsorized Mean ( 10 / 35 )525098.1028037385643.6939890770493.0415617537074
Winsorized Mean ( 11 / 35 )524955.1028037385594.8230347009193.8287233658323
Winsorized Mean ( 12 / 35 )525054.8037383185525.1607063798795.0297795197232
Winsorized Mean ( 13 / 35 )525076.5514018695479.1825820191295.831183491676
Winsorized Mean ( 14 / 35 )525087.149532715467.752528497596.0334519157546
Winsorized Mean ( 15 / 35 )526092.0093457945241.37867376325100.372829763141
Winsorized Mean ( 16 / 35 )526545.2429906545058.26358225966104.096046880070
Winsorized Mean ( 17 / 35 )525780.5607476644907.29005763697107.142751818678
Winsorized Mean ( 18 / 35 )525724.3738317764881.41422565716107.699193210959
Winsorized Mean ( 19 / 35 )526112.0093457944822.96572411987109.084749807506
Winsorized Mean ( 20 / 35 )526322.4766355144787.04169711321109.947334896395
Winsorized Mean ( 21 / 35 )526509.7102803744750.96475244766110.821641017042
Winsorized Mean ( 22 / 35 )528319.8785046734377.33271615683120.694476011529
Winsorized Mean ( 23 / 35 )528758.1682242994263.90740756241124.007891748892
Winsorized Mean ( 24 / 35 )528681.9065420564212.98013375262125.488820207454
Winsorized Mean ( 25 / 35 )527436.3457943933962.34749889642133.112087201158
Winsorized Mean ( 26 / 35 )527557.1121495333941.88780859642133.833619262081
Winsorized Mean ( 27 / 35 )527582.3457943933797.22840306873138.938796878277
Winsorized Mean ( 28 / 35 )528041.3364485983692.72164337037142.995163850653
Winsorized Mean ( 29 / 35 )527626.9345794393615.35834896174145.940425167249
Winsorized Mean ( 30 / 35 )528050.0186915893546.81340323974148.880123834329
Winsorized Mean ( 31 / 35 )530421.0841121503249.92420233957163.210293867872
Winsorized Mean ( 32 / 35 )530488.3738317763188.04258127211166.399400355593
Winsorized Mean ( 33 / 35 )532100.4392523362989.83398266587177.969894762482
Winsorized Mean ( 34 / 35 )531143.3551401872861.91427293592185.590239429258
Winsorized Mean ( 35 / 35 )530874.149532712663.10258598794199.344235676813
Trimmed Mean ( 1 / 35 )523864.616822436109.9316969212685.7398483008248
Trimmed Mean ( 2 / 35 )524379.1904761916012.7522974788287.2111746056902
Trimmed Mean ( 3 / 35 )525038.6633663375910.8476620377688.826289118967
Trimmed Mean ( 4 / 35 )525038.6633663375812.2724836202390.3327682667952
Trimmed Mean ( 5 / 35 )525516.6391752585727.1902475932791.758194936181
Trimmed Mean ( 6 / 35 )525750.0105263165642.3258532212993.1796610481397
Trimmed Mean ( 7 / 35 )525750.0105263165556.5873712124594.617428900717
Trimmed Mean ( 8 / 35 )525966.2688172045465.3947433327796.2357329191693
Trimmed Mean ( 9 / 35 )526374.067415735369.9270578318498.0225730716459
Trimmed Mean ( 10 / 35 )526608.9310344835278.0891999844099.7726470852442
Trimmed Mean ( 11 / 35 )526799.1176470595200.80722727168101.291798489408
Trimmed Mean ( 12 / 35 )527015.2289156635119.35428538047102.945645004621
Trimmed Mean ( 13 / 35 )527231.0370370375036.02558386174104.691890114018
Trimmed Mean ( 14 / 35 )527231.0370370374946.15419577915106.594136811779
Trimmed Mean ( 15 / 35 )527455.5063291144842.88916314042108.913396231245
Trimmed Mean ( 16 / 35 )527690.5844155844757.31488827727110.921937439099
Trimmed Mean ( 17 / 35 )527961.4794520554683.85523076029112.719427360772
Trimmed Mean ( 18 / 35 )528154.8169014084618.05625103792114.367341624023
Trimmed Mean ( 19 / 35 )528364.2028985514542.78552877358116.308419042004
Trimmed Mean ( 20 / 35 )528553.5074626874461.20029890026118.477869642612
Trimmed Mean ( 21 / 35 )528737.1384615384368.37556664797121.037472716033
Trimmed Mean ( 22 / 35 )528917.2857142864261.84901610343124.105120504215
Trimmed Mean ( 23 / 35 )528964.9180327874191.15096606885126.209941449314
Trimmed Mean ( 24 / 35 )528981.2203389834121.19523115504128.35626333352
Trimmed Mean ( 25 / 35 )529004.6315789474042.12496835442130.872903663419
Trimmed Mean ( 26 / 35 )529126.6727272733982.50764960487132.862688356611
Trimmed Mean ( 27 / 35 )529126.6727272733909.70954822725135.336568151767
Trimmed Mean ( 28 / 35 )529248.5471698113840.91234530366137.792404405410
Trimmed Mean ( 29 / 35 )529378.0196078433770.16674821326140.412362360027
Trimmed Mean ( 30 / 35 )529482.2653061223691.30138485211143.440540368485
Trimmed Mean ( 31 / 35 )529627.9148936173601.00407707629147.077843722862
Trimmed Mean ( 32 / 35 )529752.9777777783540.41290252401149.630281089561
Trimmed Mean ( 33 / 35 )5296353469.39130828450152.659343653538
Trimmed Mean ( 34 / 35 )529430.0256410263411.16722961566155.204945991662
Trimmed Mean ( 35 / 35 )529284.2972972973356.84757151940157.673020898512
Median526883
Midrange496849.5
Midmean - Weighted Average at Xnp528264.648148148
Midmean - Weighted Average at X(n+1)p529126.672727273
Midmean - Empirical Distribution Function529126.672727273
Midmean - Empirical Distribution Function - Averaging529126.672727273
Midmean - Empirical Distribution Function - Interpolation529248.547169811
Midmean - Closest Observation528264.648148148
Midmean - True Basic - Statistics Graphics Toolkit529126.672727273
Midmean - MS Excel (old versions)529126.672727273
Number of observations107
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Apr/21/t12087759611cr4x1lr99znkus/1q5ns1208775889.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Apr/21/t12087759611cr4x1lr99znkus/1q5ns1208775889.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Apr/21/t12087759611cr4x1lr99znkus/2vj1u1208775889.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Apr/21/t12087759611cr4x1lr99znkus/2vj1u1208775889.ps (open in new window)


 
Parameters (Session):
 
Parameters (R input):
 
R code (references can be found in the software module):
geomean <- function(x) {
return(exp(mean(log(x))))
}
harmean <- function(x) {
return(1/mean(1/x))
}
quamean <- function(x) {
return(sqrt(mean(x*x)))
}
winmean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
win <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
win[j,1] <- (j*x[j+1]+sum(x[(j+1):(n-j)])+j*x[n-j])/n
win[j,2] <- sd(c(rep(x[j+1],j),x[(j+1):(n-j)],rep(x[n-j],j)))/sqrtn
}
return(win)
}
trimean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
tri <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
tri[j,1] <- mean(x,trim=j/n)
tri[j,2] <- sd(x[(j+1):(n-j)]) / sqrt(n-j*2)
}
return(tri)
}
midrange <- function(x) {
return((max(x)+min(x))/2)
}
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {
np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2
} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
}
}
midmean <- function(x,def) {
x <-sort(x[!is.na(x)])
n<-length(x)
if (def==1) {
qvalue1 <- q1(x,n,0.25,i,f)
qvalue3 <- q1(x,n,0.75,i,f)
}
if (def==2) {
qvalue1 <- q2(x,n,0.25,i,f)
qvalue3 <- q2(x,n,0.75,i,f)
}
if (def==3) {
qvalue1 <- q3(x,n,0.25,i,f)
qvalue3 <- q3(x,n,0.75,i,f)
}
if (def==4) {
qvalue1 <- q4(x,n,0.25,i,f)
qvalue3 <- q4(x,n,0.75,i,f)
}
if (def==5) {
qvalue1 <- q5(x,n,0.25,i,f)
qvalue3 <- q5(x,n,0.75,i,f)
}
if (def==6) {
qvalue1 <- q6(x,n,0.25,i,f)
qvalue3 <- q6(x,n,0.75,i,f)
}
if (def==7) {
qvalue1 <- q7(x,n,0.25,i,f)
qvalue3 <- q7(x,n,0.75,i,f)
}
if (def==8) {
qvalue1 <- q8(x,n,0.25,i,f)
qvalue3 <- q8(x,n,0.75,i,f)
}
midm <- 0
myn <- 0
roundno4 <- round(n/4)
round3no4 <- round(3*n/4)
for (i in 1:n) {
if ((x[i]>=qvalue1) & (x[i]<=qvalue3)){
midm = midm + x[i]
myn = myn + 1
}
}
midm = midm / myn
return(midm)
}
(arm <- mean(x))
sqrtn <- sqrt(length(x))
(armse <- sd(x) / sqrtn)
(armose <- arm / armse)
(geo <- geomean(x))
(har <- harmean(x))
(qua <- quamean(x))
(win <- winmean(x))
(tri <- trimean(x))
(midr <- midrange(x))
midm <- array(NA,dim=8)
for (j in 1:8) midm[j] <- midmean(x,j)
midm
bitmap(file='test1.png')
lb <- win[,1] - 2*win[,2]
ub <- win[,1] + 2*win[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(win[,1],type='b',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(win[,1],type='l',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
bitmap(file='test2.png')
lb <- tri[,1] - 2*tri[,2]
ub <- tri[,1] + 2*tri[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(tri[,1],type='b',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(tri[,1],type='l',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Central Tendency - Ungrouped Data',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Measure',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.element(a,'S.E.',header=TRUE)
a<-table.element(a,'Value/S.E.',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm', 'Arithmetic Mean', 'click to view the definition of the Arithmetic Mean'),header=TRUE)
a<-table.element(a,arm)
a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean_standard_error.htm', armse, 'click to view the definition of the Standard Error of the Arithmetic Mean'))
a<-table.element(a,armose)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/geometric_mean.htm', 'Geometric Mean', 'click to view the definition of the Geometric Mean'),header=TRUE)
a<-table.element(a,geo)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/harmonic_mean.htm', 'Harmonic Mean', 'click to view the definition of the Harmonic Mean'),header=TRUE)
a<-table.element(a,har)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/quadratic_mean.htm', 'Quadratic Mean', 'click to view the definition of the Quadratic Mean'),header=TRUE)
a<-table.element(a,qua)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
for (j in 1:length(win[,1])) {
a<-table.row.start(a)
mylabel <- paste('Winsorized Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(win[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('http://www.xycoon.com/winsorized_mean.htm', mylabel, 'click to view the definition of the Winsorized Mean'),header=TRUE)
a<-table.element(a,win[j,1])
a<-table.element(a,win[j,2])
a<-table.element(a,win[j,1]/win[j,2])
a<-table.row.end(a)
}
for (j in 1:length(tri[,1])) {
a<-table.row.start(a)
mylabel <- paste('Trimmed Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(tri[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm', mylabel, 'click to view the definition of the Trimmed Mean'),header=TRUE)
a<-table.element(a,tri[j,1])
a<-table.element(a,tri[j,2])
a<-table.element(a,tri[j,1]/tri[j,2])
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/median_1.htm', 'Median', 'click to view the definition of the Median'),header=TRUE)
a<-table.element(a,median(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/midrange.htm', 'Midrange', 'click to view the definition of the Midrange'),header=TRUE)
a<-table.element(a,midr)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_1.htm','Weighted Average at Xnp',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[1])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_2.htm','Weighted Average at X(n+1)p',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[2])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_3.htm','Empirical Distribution Function',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[3])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_4.htm','Empirical Distribution Function - Averaging',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[4])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_5.htm','Empirical Distribution Function - Interpolation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[5])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_6.htm','Closest Observation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[6])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_7.htm','True Basic - Statistics Graphics Toolkit',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[7])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_8.htm','MS Excel (old versions)',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[8])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
 





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