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Central Tendency

*The author of this computation has been verified*
R Software Module: /rwasp_centraltendency.wasp (opens new window with default values)
Title produced by software: Central Tendency
Date of computation: Thu, 10 Dec 2009 11:31:24 -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/Dec/10/t12604700419cusdzd641eg1c5.htm/, Retrieved Thu, 10 Dec 2009 19:34:03 +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/Dec/10/t12604700419cusdzd641eg1c5.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 «
193.230 199.068 195.076 191.563 191.067 186.665 185.508 184.371 183.046 175.714 175.768 171.029 170.465 170.102 156.389 124.291 99.360 86.675 85.056 128.236 164.257 162.401 152.779 156.005 153.387 153.190 148.840 144.211 145.953 145.542 150.271 147.489 143.824 134.754 131.736 126.304 125.511 125.495 130.133 126.257 110.323 98.417 105.749 120.665 124.075 127.245 146.731 144.979 148.210 144.670 142.970 142.524 146.142 146.522 148.128 148.798 150.181 152.388 155.694 160.662 155.520 158.262 154.338 158.196 160.371 154.856 150.636 145.899 141.242 140.834 141.119 139.104 134.437 129.425 123.155 119.273 120.472 121.523 121.983 123.658 124.794 124.827 120.382 117.395 115.790 114.283 117.271 117.448 118.764 120.550 123.554 125.412 124.182 119.828 115.361 114.226 115.214 115.864 114.276 113.469 114.883 114.172 111.225 112.149 115.618 118.002 121.382 120.663
 
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 Mean138.7164629629632.3410130581346359.2548864607766
Geometric Mean136.653107638439
Harmonic Mean134.631268295658
Quadratic Mean140.814252495119
Winsorized Mean ( 1 / 36 )138.6944907407412.3292082581453059.5457663589
Winsorized Mean ( 2 / 36 )138.877752.2807664315047160.8908251549356
Winsorized Mean ( 3 / 36 )138.8576388888892.2662723982301861.2713807031
Winsorized Mean ( 4 / 36 )139.0758981481482.226424224110962.4660370840542
Winsorized Mean ( 5 / 36 )139.0838611111112.1550963821802564.5371883416203
Winsorized Mean ( 6 / 36 )139.0696944444442.1357552371299665.1149963379357
Winsorized Mean ( 7 / 36 )139.0558888888892.1136725972285965.7887551133588
Winsorized Mean ( 8 / 36 )139.0555185185192.0827206337867566.7662845715852
Winsorized Mean ( 9 / 36 )138.5076018518521.9621020051107570.5914379023498
Winsorized Mean ( 10 / 36 )138.5076018518521.9606357871044370.6442281441814
Winsorized Mean ( 11 / 36 )138.0355185185191.8784950512978073.4819708059136
Winsorized Mean ( 12 / 36 )137.9736296296301.8681665466535473.855101343498
Winsorized Mean ( 13 / 36 )138.0021574074071.8525858773284474.4916384693682
Winsorized Mean ( 14 / 36 )137.2873796296301.7308007242490079.3201537913611
Winsorized Mean ( 15 / 36 )137.0500185185181.6915298665321581.0213412308753
Winsorized Mean ( 16 / 36 )136.8304629629631.6515411487077982.8501688074942
Winsorized Mean ( 17 / 36 )136.8117314814821.6421370845114883.3132220031322
Winsorized Mean ( 18 / 36 )136.4725648148151.5946294509666385.5826190417394
Winsorized Mean ( 19 / 36 )136.7084814814811.5638115663899787.4200475426015
Winsorized Mean ( 20 / 36 )136.3968148148151.5190571036347489.7904459868227
Winsorized Mean ( 21 / 36 )136.3324537037041.5087102787904190.363574518102
Winsorized Mean ( 22 / 36 )136.3819537037041.4878919854260191.6611925056207
Winsorized Mean ( 23 / 36 )136.5071759259261.4648430855511793.1889410356625
Winsorized Mean ( 24 / 36 )136.4727314814811.4343139656989795.148436636030
Winsorized Mean ( 25 / 36 )136.4812962962961.4057021269663097.0911928481193
Winsorized Mean ( 26 / 36 )136.3857222222221.3640779173223199.9838209315404
Winsorized Mean ( 27 / 36 )136.3589722222221.35588724867820100.568076257929
Winsorized Mean ( 28 / 36 )136.2726388888891.34136398064310101.592588481133
Winsorized Mean ( 29 / 36 )136.1979907407411.32601320982219102.712393611074
Winsorized Mean ( 30 / 36 )135.7118796296301.27147012125667106.736192507219
Winsorized Mean ( 31 / 36 )135.8129166666671.23740403805568109.756322502445
Winsorized Mean ( 32 / 36 )135.8280277777781.22994657545771110.434087535250
Winsorized Mean ( 33 / 36 )135.5588333333331.17060707776448115.802164456593
Winsorized Mean ( 34 / 36 )135.9145740740741.12972412296649120.307755947693
Winsorized Mean ( 35 / 36 )135.8533240740741.09592149243863123.962642407692
Winsorized Mean ( 36 / 36 )135.8606574074071.08941054391276124.710246441572
Trimmed Mean ( 1 / 36 )138.6533396226422.2592260297165861.3720529946425
Trimmed Mean ( 2 / 36 )138.6106057692312.1803317419877163.5731724213975
Trimmed Mean ( 3 / 36 )138.4691764705882.1204818667456265.3008066902744
Trimmed Mean ( 4 / 36 )138.329332.0590259999562867.1819248532739
Trimmed Mean ( 5 / 36 )138.1236428571432.0026554019613268.9702495605936
Trimmed Mean ( 6 / 36 )137.907593751.9587695274711670.4052170589174
Trimmed Mean ( 7 / 36 )137.6850638297871.9135096775717471.9542030247323
Trimmed Mean ( 8 / 36 )137.4551739130431.8666891706368173.6358125794191
Trimmed Mean ( 9 / 36 )137.2151222222221.8193517273529575.4197883560768
Trimmed Mean ( 10 / 36 )137.0388751.7886419871674276.6161568291378
Trimmed Mean ( 11 / 36 )136.8544302325581.7534123222925578.0503413216714
Trimmed Mean ( 12 / 36 )136.7163809523811.7270325820781779.1625950611004
Trimmed Mean ( 13 / 36 )136.5783902439021.6980420534673580.4328667626422
Trimmed Mean ( 14 / 36 )136.43053751.6666364190028881.8598081407724
Trimmed Mean ( 15 / 36 )136.3457948717951.6489183895100482.6880188487124
Trimmed Mean ( 16 / 36 )136.2790789473681.6335480228860183.425205159627
Trimmed Mean ( 17 / 36 )136.2287837837841.6206699438016584.0570804097398
Trimmed Mean ( 18 / 36 )136.1773472222221.6061766978043084.7835405708359
Trimmed Mean ( 19 / 36 )136.1520428571431.5949939243815285.362107513944
Trimmed Mean ( 20 / 36 )136.1055294117651.5849496682988585.8737233958025
Trimmed Mean ( 21 / 36 )136.0816969696971.5780715871758286.232904815956
Trimmed Mean ( 22 / 36 )136.0615468751.5700611470326586.6600304912652
Trimmed Mean ( 23 / 36 )136.0361774193551.5620119005411487.0903591529787
Trimmed Mean ( 24 / 36 )135.9993166666671.5540726188944887.5115583488063
Trimmed Mean ( 25 / 36 )135.9625862068971.5472180223263087.8755186696131
Trimmed Mean ( 26 / 36 )135.9225714285711.5412202999228488.1915268280442
Trimmed Mean ( 27 / 36 )135.8869444444441.5379572829128888.3554738185419
Trimmed Mean ( 28 / 36 )135.8506346153851.5330004727637488.6174773126253
Trimmed Mean ( 29 / 36 )135.818081.5268625838868088.952392594663
Trimmed Mean ( 30 / 36 )135.7886041666671.5192948604520789.37607024239
Trimmed Mean ( 31 / 36 )135.7946086956521.5161381912460589.5661157272533
Trimmed Mean ( 32 / 36 )135.7931590909091.5147212768201289.6489414712535
Trimmed Mean ( 33 / 36 )135.7903571428571.5107666746407089.8817530345326
Trimmed Mean ( 34 / 36 )135.80931.5126326206743789.7834002412648
Trimmed Mean ( 35 / 36 )135.80051.5181521474296989.4511793366148
Trimmed Mean ( 36 / 36 )135.7959722222221.5266302358338488.9514494307465
Median136.929
Midrange142.062
Midmean - Weighted Average at Xnp135.605036363636
Midmean - Weighted Average at X(n+1)p135.886944444444
Midmean - Empirical Distribution Function135.605036363636
Midmean - Empirical Distribution Function - Averaging135.886944444444
Midmean - Empirical Distribution Function - Interpolation135.886944444444
Midmean - Closest Observation135.605036363636
Midmean - True Basic - Statistics Graphics Toolkit135.886944444444
Midmean - MS Excel (old versions)135.922571428571
Number of observations108
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/10/t12604700419cusdzd641eg1c5/1xbgp1260469882.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/10/t12604700419cusdzd641eg1c5/1xbgp1260469882.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/10/t12604700419cusdzd641eg1c5/2l5h31260469882.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/10/t12604700419cusdzd641eg1c5/2l5h31260469882.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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