*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: Wed, 17 Dec 2008 12:33:25 -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/17/t1229542439pefbnsf5ipnr0c6.htm/, Retrieved Wed, 17 Dec 2008 20:34:01 +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/17/t1229542439pefbnsf5ipnr0c6.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:

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Dataseries X:

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0.0074506557876825 -0.132442416277169 0.167508335619297 0.162179475022331 -0.146931001973622 -0.0668603738682577 -0.269529881950270 -0.501159535904405 0.0257705207115739 0.0103920112419809 -0.331297153720096 0.182851594080835 -0.0616423002040546 0.0611391202324174 0.296329447468030 0.119060175741668 0.0700576382174025 0.148255268858675 -0.371005644115859 0.0561643933314547 0.103938003871328 0.317403809539125 0.47148700869133 -0.398411446088021 -0.0432761149904893 -0.108118935756980 0.0401107485044805 0.194657389845583 0.158210139077063 -0.0990937826064845 -0.00556266803194087 0.144548748293867 0.117606815437551 -0.0757110164777423 0.197705397710686 0.43154186277326 0.0235289943338020 0.0356480768094974 0.286156406204286 0.00513379161279537 0.63893193763354 0.251390112105119 -0.00323749422575261 -0.266976252327191 0.0601251864592664 0.0250884232596969 0.0427753200608914 -0.283921635806831 0.266596524755491 -0.149765918875036 0.280920126538979 0.0236532951156516 0.156622609872607 0.31040672700784 -0.246586965870557 -0.0298393590558678 -0.249166463960415 -0.0112133689462801 -0.396395414468751 -0.451133318396317 0.105253505345444 0.402092579269608 -0.21438906878249 0.141397349553946 0.445665827381415 -0.114984764067256 -0.0727348687731968 -0.428887385112165 0.429672738628761 0.110015782612343 -0.0594175281086153 -0.231319503867720 -0.152401412327718 0.292208397539926 -0.0196616726586817 0.216316258224451 0.219252748724271 0.337295855125314 -0.106712413444743 0.465673740811403 -0.280816345253791 0.0468365870230674 0.162365651238084 -0.0663666999576886 -0.635837605985355 -0.0149943478807808 0.10104210135649 0.0980516104255642 0.132481182172313 -0.237259624681085 0.239843258350056 -0.105452963338377 -0.118119254249678 0.384026536850281 0.149193012243773 0.0179012528572979 0.0737714063911667 -0.190562367586525 0.0648156227466323 0.0831011315891885 -0.223187173116132 0.0109073057119824 -0.0509472940820421 0.166337221716903 0.123534000363326 0.0842716541850166 0.17950771880394

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 2 seconds R Server 'Gwilym Jenkins' @ 72.249.127.135 Central Tendency - Ungrouped Data Measure Value S.E. Value/S.E. Arithmetic Mean 0.0294471716999684 0.022176150139816 1.32787573651468 Geometric Mean NaN Harmonic Mean 0.62397034549931 Quadratic Mean 0.230208577671718 Winsorized Mean ( 1 / 35 ) 0.0291409393741622 0.0214954987649989 1.35567635311688 Winsorized Mean ( 2 / 35 ) 0.0299673496475858 0.0212658035978285 1.40918021318723 Winsorized Mean ( 3 / 35 ) 0.030030097867796 0.0210284990081479 1.42806663738388 Winsorized Mean ( 4 / 35 ) 0.0306413866310105 0.0207023333414229 1.48009338491816 Winsorized Mean ( 5 / 35 ) 0.0306482514662802 0.0206680097833897 1.48288353777108 Winsorized Mean ( 6 / 35 ) 0.0305254259145273 0.0201195109505098 1.51720516416200 Winsorized Mean ( 7 / 35 ) 0.0319412869970978 0.0194418050640402 1.64291776879179 Winsorized Mean ( 8 / 35 ) 0.0319894990485594 0.0182652933472105 1.75138161979998 Winsorized Mean ( 9 / 35 ) 0.0305775289990422 0.0179646503092104 1.70209430591394 Winsorized Mean ( 10 / 35 ) 0.0309784057067278 0.0176959395164361 1.75059400931806 Winsorized Mean ( 11 / 35 ) 0.0297937314162227 0.0174417057666817 1.70818908510294 Winsorized Mean ( 12 / 35 ) 0.0313289170355130 0.0170597796552830 1.83641979372291 Winsorized Mean ( 13 / 35 ) 0.0309070253327545 0.0169058013940763 1.82819048989799 Winsorized Mean ( 14 / 35 ) 0.0314423044106826 0.0166209325748508 1.89172925580951 Winsorized Mean ( 15 / 35 ) 0.0302670500690766 0.0162137824606385 1.86674825214626 Winsorized Mean ( 16 / 35 ) 0.0292092434300061 0.0157211488866445 1.85795857800317 Winsorized Mean ( 17 / 35 ) 0.0287725262322102 0.0152683089336104 1.88446057499352 Winsorized Mean ( 18 / 35 ) 0.0293169322907452 0.0142305354427281 2.06014260030717 Winsorized Mean ( 19 / 35 ) 0.0355717437900045 0.0132140826457497 2.69195711451421 Winsorized Mean ( 20 / 35 ) 0.0325856938720451 0.0127098595700013 2.56381226657736 Winsorized Mean ( 21 / 35 ) 0.0325438722810407 0.0125616321815735 2.59073596572737 Winsorized Mean ( 22 / 35 ) 0.0330954739492418 0.0118725258878860 2.78756805938071 Winsorized Mean ( 23 / 35 ) 0.0354555075498372 0.0113884078261949 3.1132980211935 Winsorized Mean ( 24 / 35 ) 0.0334671203343857 0.0109832375622553 3.04710884606538 Winsorized Mean ( 25 / 35 ) 0.0347976610838908 0.0107487897712411 3.23735618841423 Winsorized Mean ( 26 / 35 ) 0.0341743783518242 0.0105951291067191 3.2254801246501 Winsorized Mean ( 27 / 35 ) 0.0344452044737546 0.0105499524254044 3.26496301450707 Winsorized Mean ( 28 / 35 ) 0.035070584417918 0.0102245134129206 3.43004923575138 Winsorized Mean ( 29 / 35 ) 0.0409777047058087 0.00941136319952595 4.35406686970413 Winsorized Mean ( 30 / 35 ) 0.0397290738859147 0.00907447655001845 4.37811191278398 Winsorized Mean ( 31 / 35 ) 0.0411593476907285 0.00884595636005217 4.65289969964149 Winsorized Mean ( 32 / 35 ) 0.0401984963548813 0.00870292303356827 4.61896493854199 Winsorized Mean ( 33 / 35 ) 0.0406836275086433 0.00842551075578199 4.82862448199051 Winsorized Mean ( 34 / 35 ) 0.0385573897541518 0.00802814412401723 4.80277747366324 Winsorized Mean ( 35 / 35 ) 0.0384013787972875 0.00738993165585489 5.19644572989561 Trimmed Mean ( 1 / 35 ) 0.0294471716999684 0.0208862305786052 1.40988444942921 Trimmed Mean ( 2 / 35 ) 0.0299786003833184 0.0201992896577466 1.48414131839638 Trimmed Mean ( 3 / 35 ) 0.0313156945054101 0.0195624545355155 1.60080599541109 Trimmed Mean ( 4 / 35 ) 0.0313156945054101 0.018943631442266 1.65309880530827 Trimmed Mean ( 5 / 35 ) 0.0320925390318756 0.0183535913657125 1.74856998787876 Trimmed Mean ( 6 / 35 ) 0.0324178838098097 0.0176918547308527 1.83236208430292 Trimmed Mean ( 7 / 35 ) 0.0324178838098097 0.0170788782200056 1.89812723015008 Trimmed Mean ( 8 / 35 ) 0.0327807744814857 0.0165370605006659 1.98226126584986 Trimmed Mean ( 9 / 35 ) 0.0330618924081967 0.0161656391015064 2.04519550390778 Trimmed Mean ( 10 / 35 ) 0.0334013903453353 0.0157980273534998 2.11427601674179 Trimmed Mean ( 11 / 35 ) 0.0337064013527836 0.0154250373700152 2.18517469645199 Trimmed Mean ( 12 / 35 ) 0.0341649508415152 0.0150395429376866 2.27167480973797 Trimmed Mean ( 13 / 35 ) 0.0344771479785957 0.0146595285310036 2.35185926380099 Trimmed Mean ( 14 / 35 ) 0.0344771479785957 0.0142439740998060 2.42047252662902 Trimmed Mean ( 15 / 35 ) 0.0348491081763611 0.0138071510650071 2.5239897798093 Trimmed Mean ( 16 / 35 ) 0.0351872603126575 0.0133626995807183 2.63324488439679 Trimmed Mean ( 17 / 35 ) 0.0362457408794229 0.0129206340433439 2.80526023396622 Trimmed Mean ( 18 / 35 ) 0.0369082379525395 0.0124725078286468 2.95916735107343 Trimmed Mean ( 19 / 35 ) 0.0375622393259791 0.0121103237490486 3.10167094656987 Trimmed Mean ( 20 / 35 ) 0.0377295472775496 0.0118417824315132 3.18613751736769 Trimmed Mean ( 21 / 35 ) 0.0381529259809258 0.0115954329035673 3.29034080040152 Trimmed Mean ( 22 / 35 ) 0.0386065682680669 0.0113204751617507 3.41033107854957 Trimmed Mean ( 23 / 35 ) 0.0390459774276156 0.0110943553094358 3.51944537006191 Trimmed Mean ( 24 / 35 ) 0.0393290874327167 0.0108931226521565 3.61045117076056 Trimmed Mean ( 25 / 35 ) 0.0397875892452324 0.0107050960398487 3.71669615079835 Trimmed Mean ( 26 / 35 ) 0.0401758963821513 0.0105073459089763 3.82360081510495 Trimmed Mean ( 27 / 35 ) 0.0401758963821513 0.0102823492687299 3.90726820614155 Trimmed Mean ( 28 / 35 ) 0.0406419068533016 0.010005016129578 4.06215305672034 Trimmed Mean ( 29 / 35 ) 0.0411234225792359 0.00971259623339548 4.23402987121388 Trimmed Mean ( 30 / 35 ) 0.0415954733687847 0.0094942077614683 4.38114210409399 Trimmed Mean ( 31 / 35 ) 0.0416439702484167 0.00927231915924793 4.49121406772137 Trimmed Mean ( 32 / 35 ) 0.0417957435156669 0.00902477188059549 4.631224375381 Trimmed Mean ( 33 / 35 ) 0.0419812564604491 0.00872457279556028 4.81184092839621 Trimmed Mean ( 34 / 35 ) 0.042089140141757 0.00838560976533293 5.01921044737358 Trimmed Mean ( 35 / 35 ) 0.0423895354449952 0.00802278478499974 5.2836435952079 Median 0.0401107485044805 Midrange 0.00154716582409248 Midmean - Weighted Average at Xnp 0.0379131231440785 Midmean - Weighted Average at X(n+1)p 0.0401758963821513 Midmean - Empirical Distribution Function 0.0401758963821513 Midmean - Empirical Distribution Function - Averaging 0.0401758963821513 Midmean - Empirical Distribution Function - Interpolation 0.0406419068533016 Midmean - Closest Observation 0.0379131231440785 Midmean - True Basic - Statistics Graphics Toolkit 0.0401758963821513 Midmean - MS Excel (old versions) 0.0401758963821513 Number of observations 107

Charts produced by software:

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229542439pefbnsf5ipnr0c6/1s1gf1229542403.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229542439pefbnsf5ipnr0c6/1s1gf1229542403.ps (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229542439pefbnsf5ipnr0c6/2771c1229542403.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229542439pefbnsf5ipnr0c6/2771c1229542403.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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