Home » date » 2009 » May » 07 »

Jan Vanstraelen Opgave 5 Eigen Reeks

*Unverified author*
R Software Module: rwasp_centraltendency.wasp (opens new window with default values)
Title produced by software: Central Tendency
Date of computation: Thu, 07 May 2009 02:51:46 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/May/07/t1241686336wv4hpodmkybr6u5.htm/, Retrieved Thu, 07 May 2009 10:52:18 +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/2009/May/07/t1241686336wv4hpodmkybr6u5.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 «
11310 64305 15310 37299 21302 61308 72300 26303 18301 54305 66309 50301 31298 52291 87286 81288 14293 90302 50306 15310 44310 26314 98313 76310 25313 48309 95307 10320 87327 63328 34333 90333 81332 7342 30424 13344 88347 40339 23330 1339 10341 46342 81342 2342 76350 35368 93367 88377 39376 41366 77375 56382 79397 26385 73397 28404 98413 73414 47423 52431 24441 92439 90441 441 13448 18458 18459 69477 41491 10492 73508 82515 13525 55533 19550 85558 57563 60570 49568 51570 26561 61558 78548 77537 539 18540 47542 86542 81544 16543 22538 25538 99527 63518 95508 65496 5488 96475 81465 5463 81458 74445 21434 67427 27418 81407 82395 97359
 
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


Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean51417.52777777782884.4319142103517.8258767435161
Geometric Mean37451.0992178153
Harmonic Mean12555.3180469434
Quadratic Mean59447.4267048127
Winsorized Mean ( 1 / 36 )51408.12037037042882.6922719581917.8333708632206
Winsorized Mean ( 2 / 36 )51421.08333333332879.9847810476917.8546371743768
Winsorized Mean ( 3 / 36 )51422.44444444442871.4981721939817.9078799152273
Winsorized Mean ( 4 / 36 )51505.29629629632848.670562332518.0804677723505
Winsorized Mean ( 5 / 36 )51461.68518518522841.9508401484918.1078731053970
Winsorized Mean ( 6 / 36 )51553.51851851852825.0146683709718.2489383491402
Winsorized Mean ( 7 / 36 )51620.79629629632779.5640899379518.5715438198256
Winsorized Mean ( 8 / 36 )51553.61111111112769.7818289281218.6128779431923
Winsorized Mean ( 9 / 36 )51399.69444444442745.4802889864818.7215674614875
Winsorized Mean ( 10 / 36 )51465.43518518522733.6787812400218.8264384017496
Winsorized Mean ( 11 / 36 )51669.44444444442705.3212429855619.0991900050371
Winsorized Mean ( 12 / 36 )51467.11111111112675.7263852788419.2348184008163
Winsorized Mean ( 13 / 36 )51472.76851851852674.0308885149719.2491301202224
Winsorized Mean ( 14 / 36 )51440.10185185192643.9853411872919.4555170373042
Winsorized Mean ( 15 / 36 )51575.65740740742624.8688424324519.6488512392157
Winsorized Mean ( 16 / 36 )51465.43518518522610.9419448948219.7114437131839
Winsorized Mean ( 17 / 36 )51504.62962962962566.7005129726320.0664742027029
Winsorized Mean ( 18 / 36 )51290.4629629632468.2930727624420.7797297366962
Winsorized Mean ( 19 / 36 )51296.97222222222462.3529128324520.8325020978473
Winsorized Mean ( 20 / 36 )51139.56481481482443.8670023008220.9256742558694
Winsorized Mean ( 21 / 36 )51139.95370370372440.1144325253820.9580145185145
Winsorized Mean ( 22 / 36 )51344.26851851852414.4430237325021.2654711723721
Winsorized Mean ( 23 / 36 )51706.51851851852367.8207772202521.8371757761246
Winsorized Mean ( 24 / 36 )51721.40740740742362.6106135053921.8916342421186
Winsorized Mean ( 25 / 36 )51974.64814814812331.9540886639122.2880237654794
Winsorized Mean ( 26 / 36 )52154.72222222222308.3331113597722.5941056624619
Winsorized Mean ( 27 / 36 )51959.72222222222220.8566709016523.3962519522374
Winsorized Mean ( 28 / 36 )51965.68518518522169.4755867897523.9531089916899
Winsorized Mean ( 29 / 36 )51754.62962962962131.6464112028524.2791812739831
Winsorized Mean ( 30 / 36 )51922.12962962962102.2426221169524.6984477830366
Winsorized Mean ( 31 / 36 )51631.07407407412068.8078496931124.9569210024667
Winsorized Mean ( 32 / 36 )51640.25925925932065.0792886454125.0064293139721
Winsorized Mean ( 33 / 36 )51124.17592592591995.9773395814525.6136053812346
Winsorized Mean ( 34 / 36 )51098.99074074071932.9278584136726.4360568441892
Winsorized Mean ( 35 / 36 )51388.06481481481893.1989633128927.1435099060541
Winsorized Mean ( 36 / 36 )52055.73148148151816.9055477859528.6507636816430
Trimmed Mean ( 1 / 36 )51444.57547169812863.0324602829717.9685617209570
Trimmed Mean ( 2 / 36 )51482.43269230772840.5889999190118.1238583595781
Trimmed Mean ( 3 / 36 )51514.91176470592816.579010344118.2898869783214
Trimmed Mean ( 4 / 36 )51548.22792.6166752254918.458745325596
Trimmed Mean ( 5 / 36 )51560.02040816332772.3980556851418.5976253671197
Trimmed Mean ( 6 / 36 )51582.14583333332750.8138444456218.7515945281019
Trimmed Mean ( 7 / 36 )51587.62765957452729.7594864812418.8982318460858
Trimmed Mean ( 8 / 36 )51582.06521739132714.5895129456719.0017919731143
Trimmed Mean ( 9 / 36 )51586.33333333332698.3862603854919.1174755410901
Trimmed Mean ( 10 / 36 )51611.78409090912683.3164702239919.2343261272498
Trimmed Mean ( 11 / 36 )51630.16279069772667.1492540914719.3578078585200
Trimmed Mean ( 12 / 36 )51625.57142857142652.1323480857819.4656844579544
Trimmed Mean ( 13 / 36 )51642.96341463412638.2712473282819.5745465773968
Trimmed Mean ( 14 / 36 )51660.63752621.4573950021219.7068384931574
Trimmed Mean ( 15 / 36 )51682.44871794872605.1902276213419.8382629298964
Trimmed Mean ( 16 / 36 )51692.56578947372587.8339910106319.975224828578
Trimmed Mean ( 17 / 36 )51713.28378378382568.356021737420.1347801263166
Trimmed Mean ( 18 / 36 )51731.69444444442550.4149512515920.2836383228767
Trimmed Mean ( 19 / 36 )51769.51428571432541.020637504720.3735119351696
Trimmed Mean ( 20 / 36 )51809.01470588232528.9627126322720.4862706939466
Trimmed Mean ( 21 / 36 )51863.78787878792515.3144689341420.6192062739436
Trimmed Mean ( 22 / 36 )51921.9531252497.7707512715420.7873172902550
Trimmed Mean ( 23 / 36 )51967.69354838712478.6036936166120.9665198523768
Trimmed Mean ( 24 / 36 )51988.13333333332460.2802112315921.1309805671723
Trimmed Mean ( 25 / 36 )52008.82758620692436.8810750525221.3423741185589
Trimmed Mean ( 26 / 36 )52011.46428571432411.0094319901921.5724847840106
Trimmed Mean ( 27 / 36 )52000.44444444442380.9302561106421.8403896170355
Trimmed Mean ( 28 / 36 )52003.57692307692355.4831192341622.0776691195243
Trimmed Mean ( 29 / 36 )52006.52329.6754440242922.3234958042755
Trimmed Mean ( 30 / 36 )52026.04166666672301.0070981514222.6101178516413
Trimmed Mean ( 31 / 36 )52034.17391304352267.2256287149222.9505935598199
Trimmed Mean ( 32 / 36 )52066.09090909092227.4966252393323.3742625327195
Trimmed Mean ( 33 / 36 )52100.30952380952174.2180089919623.9627807829469
Trimmed Mean ( 34 / 36 )52180.1752116.5530425451324.6533745911957
Trimmed Mean ( 35 / 36 )52270.55263157892051.9794352524525.4732341531231
Trimmed Mean ( 36 / 36 )52346.19444444441972.6839905817526.5355194721317
Median51930.5
Midrange49984
Midmean - Weighted Average at Xnp51479.1636363636
Midmean - Weighted Average at X(n+1)p52000.4444444444
Midmean - Empirical Distribution Function51479.1636363636
Midmean - Empirical Distribution Function - Averaging52000.4444444444
Midmean - Empirical Distribution Function - Interpolation52000.4444444444
Midmean - Closest Observation51479.1636363636
Midmean - True Basic - Statistics Graphics Toolkit52000.4444444444
Midmean - MS Excel (old versions)52011.4642857143
Number of observations108
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/07/t1241686336wv4hpodmkybr6u5/1clr11241686304.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/07/t1241686336wv4hpodmkybr6u5/1clr11241686304.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/07/t1241686336wv4hpodmkybr6u5/23rb21241686304.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/07/t1241686336wv4hpodmkybr6u5/23rb21241686304.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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