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trimmed mean

*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: Tue, 16 Dec 2008 14:19:25 -0700

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/16/t12294624931cvqmkdmf8gprqn.htm/, Retrieved Tue, 16 Dec 2008 22:21:35 +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/2008/Dec/16/t12294624931cvqmkdmf8gprqn.htm/},
    year = {2008},
}
@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 = {2008},
    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 «

524 552 532 511 492 492 493 481 462 457 442 439 488 521 501 485 464 460 467 460 448 443 436 431 484 510 513 503 471 471 476 475 470 461 455 456 517 525 523 519 509 512 519 517 510 509 501 507 569 580 578 565 547 555 562 561 555 544 537 543 594 611 613 611 594 595 591 589 584 573 567 569 621 629 628 612 595 597 593 590 580 574 573 573 620 626 620 588 566 557 561 549 532 526 511 499 555 565 542 527 510 514 517 508 493 490 469 478

Output produced by software:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Central Tendency - Ungrouped Data
Measure	Value	S.E.	Value/S.E.
Arithmetic Mean	530.268518518518	5.03177178780895	105.384055732269
Geometric Mean	527.706947384403
Harmonic Mean	525.144228198586
Quadratic Mean	532.816859301163
Winsorized Mean ( 1 / 36 )	530.305555555556	5.02175017194515	105.601739910957
Winsorized Mean ( 2 / 36 )	530.324074074074	5.00546307127795	105.949053368738
Winsorized Mean ( 3 / 36 )	530.268518518518	4.96717516199165	106.754543825247
Winsorized Mean ( 4 / 36 )	530.268518518518	4.95475560044476	107.022134143391
Winsorized Mean ( 5 / 36 )	530.5	4.91755320518116	107.878853133925
Winsorized Mean ( 6 / 36 )	530.5	4.79405387733043	110.657913651861
Winsorized Mean ( 7 / 36 )	530.5	4.77417514926217	111.118671480242
Winsorized Mean ( 8 / 36 )	530.5	4.75164615952593	111.645518666509
Winsorized Mean ( 9 / 36 )	530.75	4.71604797633115	112.541263927704
Winsorized Mean ( 10 / 36 )	529.453703703704	4.52223046821205	117.078001093791
Winsorized Mean ( 11 / 36 )	529.351851851852	4.47948894254296	118.172376054877
Winsorized Mean ( 12 / 36 )	529.462962962963	4.46371909389175	118.614758640949
Winsorized Mean ( 13 / 36 )	529.583333333333	4.41353069569023	119.990857625725
Winsorized Mean ( 14 / 36 )	529.972222222222	4.36027764852912	121.545521854784
Winsorized Mean ( 15 / 36 )	530.111111111111	4.30408560309102	123.164630073901
Winsorized Mean ( 16 / 36 )	529.962962962963	4.24433175094762	124.863699178237
Winsorized Mean ( 17 / 36 )	529.962962962963	4.20253360110119	126.105586121690
Winsorized Mean ( 18 / 36 )	529.796296296296	4.180377426424	126.734082178196
Winsorized Mean ( 19 / 36 )	530.324074074074	4.06606120272982	130.426977763648
Winsorized Mean ( 20 / 36 )	529.768518518518	3.94579942096946	134.261390911847
Winsorized Mean ( 21 / 36 )	529.37962962963	3.79802734301216	139.382785277629
Winsorized Mean ( 22 / 36 )	529.990740740741	3.72179587235347	142.401883101021
Winsorized Mean ( 23 / 36 )	530.203703703704	3.59082710970893	147.655035317666
Winsorized Mean ( 24 / 36 )	529.537037037037	3.45530794304872	153.253210933730
Winsorized Mean ( 25 / 36 )	530	3.34489169480608	158.450571306383
Winsorized Mean ( 26 / 36 )	530.481481481482	3.28894330422524	161.292376429835
Winsorized Mean ( 27 / 36 )	530.981481481482	3.23200027870849	164.288810548514
Winsorized Mean ( 28 / 36 )	529.944444444444	3.10806389115381	170.506290412104
Winsorized Mean ( 29 / 36 )	530.212962962963	3.07757245565176	172.282852996446
Winsorized Mean ( 30 / 36 )	529.657407407407	3.01266973979319	175.809980234928
Winsorized Mean ( 31 / 36 )	531.092592592593	2.78851105067249	190.457410044874
Winsorized Mean ( 32 / 36 )	531.388888888889	2.69072845427223	197.48885772742
Winsorized Mean ( 33 / 36 )	531.388888888889	2.69072845427223	197.48885772742
Winsorized Mean ( 34 / 36 )	531.074074074074	2.51522548543729	211.143723355580
Winsorized Mean ( 35 / 36 )	532.046296296296	2.34551722781664	226.83538197311
Winsorized Mean ( 36 / 36 )	532.37962962963	2.31246107402122	230.222093513495
Trimmed Mean ( 1 / 36 )	530.27358490566	4.95243381805033	107.073330888936
Trimmed Mean ( 2 / 36 )	530.240384615385	4.8746707667748	108.774604477792
Trimmed Mean ( 3 / 36 )	530.196078431373	4.79686445538302	110.529718603241
Trimmed Mean ( 4 / 36 )	530.17	4.72500451605791	112.205183761882
Trimmed Mean ( 5 / 36 )	530.142857142857	4.64787878427908	114.061248528254
Trimmed Mean ( 6 / 36 )	530.0625	4.57075976687588	115.968138129101
Trimmed Mean ( 7 / 36 )	529.978723404255	4.51262188593083	117.443636271984
Trimmed Mean ( 8 / 36 )	529.891304347826	4.45043458749993	119.065069698170
Trimmed Mean ( 9 / 36 )	529.8	4.38369467757704	120.856957194116
Trimmed Mean ( 10 / 36 )	529.670454545455	4.3136475603058	122.789459996566
Trimmed Mean ( 11 / 36 )	529.697674418605	4.26662900372034	124.148988336396
Trimmed Mean ( 12 / 36 )	529.738095238095	4.21877748766444	125.566730358980
Trimmed Mean ( 13 / 36 )	529.768292682927	4.1653674137108	127.184048864245
Trimmed Mean ( 14 / 36 )	529.7875	4.11060275193033	128.883166769451
Trimmed Mean ( 15 / 36 )	529.769230769231	4.05432322615652	130.66773446957
Trimmed Mean ( 16 / 36 )	529.736842105263	3.99633026492234	132.555821713488
Trimmed Mean ( 17 / 36 )	529.716216216216	3.93653466544606	134.564092846923
Trimmed Mean ( 18 / 36 )	529.694444444444	3.87170218541591	136.811774014985
Trimmed Mean ( 19 / 36 )	529.685714285714	3.79787141304685	139.469101683138
Trimmed Mean ( 20 / 36 )	529.632352941176	3.72672198072011	142.117484395452
Trimmed Mean ( 21 / 36 )	529.621212121212	3.65924859824209	144.734963450049
Trimmed Mean ( 22 / 36 )	529.640625	3.59951820984503	147.142087947043
Trimmed Mean ( 23 / 36 )	529.612903225806	3.53791541717057	149.696315704845
Trimmed Mean ( 24 / 36 )	529.566666666667	3.48186315040048	152.092900780939
Trimmed Mean ( 25 / 36 )	529.568965517241	3.43270911595379	154.27143624143
Trimmed Mean ( 26 / 36 )	529.535714285714	3.3874255908552	156.323939842477
Trimmed Mean ( 27 / 36 )	529.462962962963	3.33801693630516	158.616020549322
Trimmed Mean ( 28 / 36 )	529.346153846154	3.28336046899666	161.220846399455
Trimmed Mean ( 29 / 36 )	529.3	3.23390835759242	163.671923094955
Trimmed Mean ( 30 / 36 )	529.229166666667	3.17406371733122	166.735520707079
Trimmed Mean ( 31 / 36 )	529.195652173913	3.10751303474010	170.295553472449
Trimmed Mean ( 32 / 36 )	529.045454545455	3.06051622472276	172.861509529615
Trimmed Mean ( 33 / 36 )	528.857142857143	3.01382247873032	175.477204310966
Trimmed Mean ( 34 / 36 )	528.65	2.94795670218352	179.327599896035
Trimmed Mean ( 35 / 36 )	528.447368421053	2.89520557436098	182.524989969906
Trimmed Mean ( 36 / 36 )	528.138888888889	2.85388979269586	185.059314567994
Median	523.5
Midrange	530
Midmean - Weighted Average at Xnp	530.298245614035
Midmean - Weighted Average at X(n+1)p	531.017857142857
Midmean - Empirical Distribution Function	530.298245614035
Midmean - Empirical Distribution Function - Averaging	531.017857142857
Midmean - Empirical Distribution Function - Interpolation	531.017857142857
Midmean - Closest Observation	530.298245614035
Midmean - True Basic - Statistics Graphics Toolkit	531.017857142857
Midmean - MS Excel (old versions)	530.298245614035
Number of observations	108

Charts produced by software:

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/16/t12294624931cvqmkdmf8gprqn/1uour1229462363.png (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/16/t12294624931cvqmkdmf8gprqn/1uour1229462363.ps (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/16/t12294624931cvqmkdmf8gprqn/2jrm51229462363.png (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/16/t12294624931cvqmkdmf8gprqn/2jrm51229462363.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')

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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