Home » date » 2009 » Mar » 18 »

cijferreeks - verkoop eengezinswoningen - Anne-Sophie De Smedt

*Unverified author*

R Software Module: rwasp_centraltendency.wasp (opens new window with default values)

Title produced by software: Central Tendency

Date of computation: Wed, 18 Mar 2009 09:52:01 -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/Mar/18/t1237391580oy5j5dfvxe4g7d2.htm/, Retrieved Wed, 18 Mar 2009 16:53:03 +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/Mar/18/t1237391580oy5j5dfvxe4g7d2.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 «

53 59 73 72 62 58 55 56 52 52 43 37 43 55 68 68 64 65 57 59 54 57 43 42 52 51 58 60 61 58 62 61 49 51 47 40 45 50 58 52 50 50 46 46 38 37 34 29 30 40 46 46 47 47 43 46 37 41 39 36 48 55 56 53 52 53 52 56 51 48 42 42 44 50 60 66 58 59 55 57 57 56 53 51 45 58 74 65 65 55 52 59 54 57 45 40 47 47 60 58 63 64 64 63 55 54 44

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	52.2616822429907	0.886758370182299	58.9356514697986
Geometric Mean	51.4224232171707
Harmonic Mean	50.5326359497828
Quadratic Mean	53.0531385878224
Winsorized Mean ( 1 / 35 )	52.2616822429907	0.882372729851246	59.2285782129748
Winsorized Mean ( 2 / 35 )	52.3177570093458	0.861876802354697	60.7021291980602
Winsorized Mean ( 3 / 35 )	52.2616822429907	0.828892866199072	63.0499843515834
Winsorized Mean ( 4 / 35 )	52.2990654205607	0.822151329039753	63.6124562148971
Winsorized Mean ( 5 / 35 )	52.2056074766355	0.806180752502624	64.7567029038759
Winsorized Mean ( 6 / 35 )	52.1495327102804	0.797390796428256	65.4002189940908
Winsorized Mean ( 7 / 35 )	52.214953271028	0.785944688012852	66.4359134521871
Winsorized Mean ( 8 / 35 )	52.2897196261682	0.773504250060949	67.6010760406915
Winsorized Mean ( 9 / 35 )	52.2897196261682	0.747417743052666	69.9605008206016
Winsorized Mean ( 10 / 35 )	52.2897196261682	0.747417743052666	69.9605008206016
Winsorized Mean ( 11 / 35 )	52.2897196261682	0.747417743052666	69.9605008206016
Winsorized Mean ( 12 / 35 )	52.2897196261682	0.714118069713627	73.2227930419647
Winsorized Mean ( 13 / 35 )	52.411214953271	0.696485024754256	75.2510292260247
Winsorized Mean ( 14 / 35 )	52.2803738317757	0.6782504686364	77.081220359322
Winsorized Mean ( 15 / 35 )	52.2803738317757	0.6782504686364	77.081220359322
Winsorized Mean ( 16 / 35 )	52.2803738317757	0.637508927197045	82.0072811554787
Winsorized Mean ( 17 / 35 )	52.2803738317757	0.637508927197045	82.0072811554787
Winsorized Mean ( 18 / 35 )	52.1121495327103	0.616491043431195	84.530262179756
Winsorized Mean ( 19 / 35 )	52.1121495327103	0.616491043431195	84.530262179756
Winsorized Mean ( 20 / 35 )	52.2990654205607	0.591065995751134	88.4826158102674
Winsorized Mean ( 21 / 35 )	52.1028037383178	0.567741316699097	91.7720838801172
Winsorized Mean ( 22 / 35 )	52.3084112149533	0.540774605738356	96.7286752371315
Winsorized Mean ( 23 / 35 )	52.3084112149533	0.540774605738356	96.7286752371315
Winsorized Mean ( 24 / 35 )	52.3084112149533	0.540774605738356	96.7286752371315
Winsorized Mean ( 25 / 35 )	52.3084112149533	0.484900049137498	107.874625519208
Winsorized Mean ( 26 / 35 )	52.3084112149533	0.484900049137498	107.874625519208
Winsorized Mean ( 27 / 35 )	52.3084112149533	0.484900049137498	107.874625519208
Winsorized Mean ( 28 / 35 )	52.3084112149533	0.484900049137498	107.874625519208
Winsorized Mean ( 29 / 35 )	52.3084112149533	0.484900049137498	107.874625519208
Winsorized Mean ( 30 / 35 )	52.588785046729	0.45128654253335	116.530807126478
Winsorized Mean ( 31 / 35 )	52.588785046729	0.45128654253335	116.530807126478
Winsorized Mean ( 32 / 35 )	52.2897196261682	0.418453152754251	124.959554688496
Winsorized Mean ( 33 / 35 )	52.2897196261682	0.418453152754251	124.959554688496
Winsorized Mean ( 34 / 35 )	52.2897196261682	0.418453152754251	124.959554688496
Winsorized Mean ( 35 / 35 )	52.6168224299065	0.380174546176371	138.401749825451
Trimmed Mean ( 1 / 35 )	52.2616822429907	0.850823264113864	61.4248392672025
Trimmed Mean ( 2 / 35 )	52.2761904761905	0.81505338789622	64.1383635139822
Trimmed Mean ( 3 / 35 )	52.2772277227723	0.78703841564389	66.4227141695534
Trimmed Mean ( 4 / 35 )	52.2772277227723	0.769448638162302	67.941153093243
Trimmed Mean ( 5 / 35 )	52.2783505154639	0.751822280474443	69.5355164021919
Trimmed Mean ( 6 / 35 )	52.2947368421053	0.736334811774069	71.0203239150276
Trimmed Mean ( 7 / 35 )	52.2947368421053	0.72088351756106	72.5425614099657
Trimmed Mean ( 8 / 35 )	52.3225806451613	0.705848545051868	74.1272062001863
Trimmed Mean ( 9 / 35 )	52.3483146067416	0.691237495863999	75.7313006310658
Trimmed Mean ( 10 / 35 )	52.3563218390805	0.679437360888275	77.0583498243774
Trimmed Mean ( 11 / 35 )	52.3647058823529	0.665863744531192	78.64177365479
Trimmed Mean ( 12 / 35 )	52.3734939759036	0.650213202985688	80.5481859417986
Trimmed Mean ( 13 / 35 )	52.3827160493827	0.637696447881199	82.143653494431
Trimmed Mean ( 14 / 35 )	52.3827160493827	0.625982848749895	83.6807528416991
Trimmed Mean ( 15 / 35 )	52.379746835443	0.615130438172076	85.1522597241244
Trimmed Mean ( 16 / 35 )	52.3896103896104	0.602397611949851	86.968489499875
Trimmed Mean ( 17 / 35 )	52.4109589041096	0.593545834541065	88.3014518072294
Trimmed Mean ( 18 / 35 )	52.4225352112676	0.58301304789558	89.9165728802981
Trimmed Mean ( 19 / 35 )	52.4492753623188	0.57347456274832	91.4587651646847
Trimmed Mean ( 20 / 35 )	52.4776119402985	0.562010914648622	93.3747202634104
Trimmed Mean ( 21 / 35 )	52.4923076923077	0.552147501946106	95.069356480456
Trimmed Mean ( 22 / 35 )	52.5238095238095	0.543479310376714	96.643622895971
Trimmed Mean ( 23 / 35 )	52.5409836065574	0.53692800063358	97.8548027753415
Trimmed Mean ( 24 / 35 )	52.5593220338983	0.528703400835795	99.41173435013
Trimmed Mean ( 25 / 35 )	52.5789473684211	0.518424551213975	101.420635356290
Trimmed Mean ( 26 / 35 )	52.6	0.514176141392329	102.299573561631
Trimmed Mean ( 27 / 35 )	52.6	0.508438526462962	103.45400134392
Trimmed Mean ( 28 / 35 )	52.622641509434	0.500841276106876	105.068499781964
Trimmed Mean ( 29 / 35 )	52.6470588235294	0.49089304561139	107.24751408519
Trimmed Mean ( 30 / 35 )	52.6734693877551	0.47792615287439	110.212569600892
Trimmed Mean ( 31 / 35 )	52.7021276595745	0.467771659548750	112.666354585088
Trimmed Mean ( 32 / 35 )	52.7111111111111	0.454247313366051	116.040556674981
Trimmed Mean ( 33 / 35 )	52.7560975609756	0.442802174357472	119.141460038057
Trimmed Mean ( 34 / 35 )	52.7948717948718	0.427116445167008	123.607677466571
Trimmed Mean ( 35 / 35 )	52.8378378378378	0.405505493150519	130.301164177386
Median	53
Midrange	51.5
Midmean - Weighted Average at Xnp	52.5789473684211
Midmean - Weighted Average at X(n+1)p	52.5789473684211
Midmean - Empirical Distribution Function	52.5789473684211
Midmean - Empirical Distribution Function - Averaging	52.5789473684211
Midmean - Empirical Distribution Function - Interpolation	52.5789473684211
Midmean - Closest Observation	52.5789473684211
Midmean - True Basic - Statistics Graphics Toolkit	52.5789473684211
Midmean - MS Excel (old versions)	52.5789473684211
Number of observations	107

Charts produced by software:

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Mar/18/t1237391580oy5j5dfvxe4g7d2/1r1rm1237391520.png (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Mar/18/t1237391580oy5j5dfvxe4g7d2/1r1rm1237391520.ps (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Mar/18/t1237391580oy5j5dfvxe4g7d2/2o4b31237391520.png (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Mar/18/t1237391580oy5j5dfvxe4g7d2/2o4b31237391520.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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