*Unverified author*

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

Title produced by software: Central Tendency

Date of computation: Sat, 24 Oct 2009 13:16:39 -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/Oct/24/t1256411841pi8owrasfq3m0b7.htm/, Retrieved Sat, 24 Oct 2009 21:17:22 +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/Oct/24/t1256411841pi8owrasfq3m0b7.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:

KDGP1W52

Dataseries X:

» Textbox « » Textfile « » CSV «

8.82 8.8 8.82 8.58 8.54 8.42 8.43 8.44 8.09 7.69 7.56 7.54 7.4 7.39 7.37 7.31 7.35 7.26 7.37 7.35 7.33 7.32 7.31 7.33 7.32 7.27 7.48 7.7 7.77 7.8 7.84 7.81 7.78 7.82 7.8 7.81 7.8 7.66 7.41 7.35 7.39 7.32 7.32 7.3 7.29 7.26 7.22 7.21 7.21 7.21 7.2 7.19 7.18 7.12 7.12 7.07 7.08 7.05 7.06 7.07 7.08 7.08 7.09 7.07 7.06 6.99 6.99 6.99 6.98 6.96 6.95 6.91 6.91 6.87 6.91 6.89 6.88 6.9 6.91 6.85 6.86 6.82 6.8 6.83 6.84 6.89 7.14 7.21 7.25 7.31 7.3 7.48 7.49 7.4 7.44 7.42 7.14 7.24 7.33 7.61 7.66 7.69 7.7 7.68 7.71 7.71 7.72 7.68 7.72 7.74 7.76 7.9 7.97 7.96 7.95 7.97 7.93 7.99 7.96 7.92 7.97 7.98 8 8.04 8.17 8.29 8.26 8.3 8.32 8.28 8.27 8.32

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 'RServer@AstonUniversity' @ vre.aston.ac.uk Central Tendency - Ungrouped Data Measure Value S.E. Value/S.E. Arithmetic Mean 7.51287878787879 0.0423582708860616 177.365096136419 Geometric Mean 7.49761823705715 Harmonic Mean 7.48273607809817 Quadratic Mean 7.52850522408605 Winsorized Mean ( 1 / 44 ) 7.5130303030303 0.0423390721684297 177.449101225993 Winsorized Mean ( 2 / 44 ) 7.51287878787879 0.0422493192478052 177.822481441972 Winsorized Mean ( 3 / 44 ) 7.50810606060606 0.0411414924196576 182.494742388554 Winsorized Mean ( 4 / 44 ) 7.50719696969697 0.0408666402506962 183.699881459403 Winsorized Mean ( 5 / 44 ) 7.50378787878788 0.0401171558519618 187.046856125044 Winsorized Mean ( 6 / 44 ) 7.50378787878788 0.0399811328252718 187.683223273874 Winsorized Mean ( 7 / 44 ) 7.50378787878788 0.0398238851232912 188.424305051022 Winsorized Mean ( 8 / 44 ) 7.49833333333333 0.0387277678556908 193.616460449618 Winsorized Mean ( 9 / 44 ) 7.49833333333333 0.0387277678556908 193.616460449618 Winsorized Mean ( 10 / 44 ) 7.49757575757576 0.0383937742556982 195.281029357592 Winsorized Mean ( 11 / 44 ) 7.49757575757576 0.0381627753606314 196.463063462366 Winsorized Mean ( 12 / 44 ) 7.49666666666667 0.0380192353440897 197.180890115721 Winsorized Mean ( 13 / 44 ) 7.49568181818182 0.0378649170763385 197.958490258145 Winsorized Mean ( 14 / 44 ) 7.49462121212121 0.0376999496712746 198.79658401326 Winsorized Mean ( 15 / 44 ) 7.48893939393939 0.0356283047540886 210.19634376738 Winsorized Mean ( 16 / 44 ) 7.48045454545455 0.0341180245313576 219.252276420029 Winsorized Mean ( 17 / 44 ) 7.47659090909091 0.0329603518938040 226.835894628188 Winsorized Mean ( 18 / 44 ) 7.4725 0.0321056071310423 232.747506362369 Winsorized Mean ( 19 / 44 ) 7.4710606060606 0.0319260396114412 234.011505873821 Winsorized Mean ( 20 / 44 ) 7.46954545454546 0.0317390294689424 235.342591740388 Winsorized Mean ( 21 / 44 ) 7.4775 0.0304810257889769 245.316547145344 Winsorized Mean ( 22 / 44 ) 7.47916666666667 0.0303038131693925 246.806123864993 Winsorized Mean ( 23 / 44 ) 7.47916666666667 0.0303038131693925 246.806123864993 Winsorized Mean ( 24 / 44 ) 7.47916666666667 0.0298887678178374 250.233355628771 Winsorized Mean ( 25 / 44 ) 7.47916666666667 0.0298887678178374 250.233355628771 Winsorized Mean ( 26 / 44 ) 7.47719696969697 0.0296479291661193 252.199636871829 Winsorized Mean ( 27 / 44 ) 7.47515151515152 0.0289396391868914 258.301475940221 Winsorized Mean ( 28 / 44 ) 7.4730303030303 0.0286862347195746 260.509278268260 Winsorized Mean ( 29 / 44 ) 7.46863636363636 0.0281680568283143 265.145601244632 Winsorized Mean ( 30 / 44 ) 7.45727272727273 0.0263739042118535 282.751945535661 Winsorized Mean ( 31 / 44 ) 7.45962121212121 0.0251181352469936 296.981489221580 Winsorized Mean ( 32 / 44 ) 7.45719696969697 0.0248540301116608 300.039749537371 Winsorized Mean ( 33 / 44 ) 7.46219696969697 0.0243424547895418 306.550717017371 Winsorized Mean ( 34 / 44 ) 7.45962121212121 0.0240629151887671 310.004883182378 Winsorized Mean ( 35 / 44 ) 7.47022727272727 0.0230141077304220 324.59339115948 Winsorized Mean ( 36 / 44 ) 7.47295454545455 0.0227533767506052 328.43276966597 Winsorized Mean ( 37 / 44 ) 7.47015151515152 0.0218775176598126 341.453341796343 Winsorized Mean ( 38 / 44 ) 7.47015151515151 0.0212972705238479 350.756286200465 Winsorized Mean ( 39 / 44 ) 7.46719696969697 0.0209811152857637 355.9008597967 Winsorized Mean ( 40 / 44 ) 7.46113636363636 0.0203410795116256 366.801396129054 Winsorized Mean ( 41 / 44 ) 7.45492424242424 0.0196968395785663 378.483269495506 Winsorized Mean ( 42 / 44 ) 7.45810606060606 0.0193967346958318 384.50317424864 Winsorized Mean ( 43 / 44 ) 7.46136363636364 0.0184577004922946 404.241234680262 Winsorized Mean ( 44 / 44 ) 7.46469696969697 0.0181546417684736 411.172914612931 Trimmed Mean ( 1 / 44 ) 7.5083076923077 0.041445431281853 181.161287507104 Trimmed Mean ( 2 / 44 ) 7.5034375 0.0404581959415941 185.461494892952 Trimmed Mean ( 3 / 44 ) 7.49849206349206 0.0394173545632623 190.233265184183 Trimmed Mean ( 4 / 44 ) 7.49508064516129 0.038720097464358 193.570810405644 Trimmed Mean ( 5 / 44 ) 7.49180327868852 0.038036416138059 196.963963468479 Trimmed Mean ( 6 / 44 ) 7.48916666666667 0.0374783940247463 199.826242867336 Trimmed Mean ( 7 / 44 ) 7.4864406779661 0.0368904956464198 202.936841774113 Trimmed Mean ( 8 / 44 ) 7.48362068965517 0.0362695217665091 206.333591543671 Trimmed Mean ( 9 / 44 ) 7.48149122807018 0.0357847748071415 209.069115801089 Trimmed Mean ( 10 / 44 ) 7.47928571428571 0.0352443014291986 212.212624764621 Trimmed Mean ( 11 / 44 ) 7.47709090909091 0.0346949882463871 215.509250384874 Trimmed Mean ( 12 / 44 ) 7.47481481481482 0.0341158111201888 219.101190016597 Trimmed Mean ( 13 / 44 ) 7.47254716981132 0.0334884248205071 223.138209989363 Trimmed Mean ( 14 / 44 ) 7.47028846153846 0.0328066781561688 227.706335459440 Trimmed Mean ( 15 / 44 ) 7.46803921568627 0.0320632744210933 232.915675348907 Trimmed Mean ( 16 / 44 ) 7.4662 0.0315100689374753 236.946482561337 Trimmed Mean ( 17 / 44 ) 7.465 0.0310826626382651 240.166040048642 Trimmed Mean ( 18 / 44 ) 7.4640625 0.030740345127059 242.809977218824 Trimmed Mean ( 19 / 44 ) 7.46340425531915 0.0304509511401074 245.095932175629 Trimmed Mean ( 20 / 44 ) 7.46282608695652 0.0301387641551654 247.615530900178 Trimmed Mean ( 21 / 44 ) 7.46233333333333 0.0298008579755667 250.406660756264 Trimmed Mean ( 22 / 44 ) 7.46125 0.0295511584197615 252.485871924753 Trimmed Mean ( 23 / 44 ) 7.46 0.0292772024408641 254.805766195325 Trimmed Mean ( 24 / 44 ) 7.45869047619048 0.028955710220719 257.589622887353 Trimmed Mean ( 25 / 44 ) 7.45731707317073 0.0286266231427862 260.502855540261 Trimmed Mean ( 26 / 44 ) 7.455875 0.0282398709016933 264.019443500818 Trimmed Mean ( 27 / 44 ) 7.45448717948718 0.0278157245695653 267.995434051844 Trimmed Mean ( 28 / 44 ) 7.45315789473684 0.0274035536985502 271.977787141204 Trimmed Mean ( 29 / 44 ) 7.45189189189189 0.0269487945860975 276.520416083331 Trimmed Mean ( 30 / 44 ) 7.45083333333333 0.0264780225989626 281.396894556063 Trimmed Mean ( 31 / 44 ) 7.45042857142857 0.0261477215490461 284.936052934998 Trimmed Mean ( 32 / 44 ) 7.44985294117647 0.0259012210239085 287.625549942212 Trimmed Mean ( 33 / 44 ) 7.44939393939394 0.0256294909423054 290.657116684966 Trimmed Mean ( 34 / 44 ) 7.44859375 0.0253554758998943 293.766671128861 Trimmed Mean ( 35 / 44 ) 7.44790322580645 0.0250511239265381 297.308146638341 Trimmed Mean ( 36 / 44 ) 7.4465 0.0248018417850813 300.239799307130 Trimmed Mean ( 37 / 44 ) 7.4448275862069 0.0245137113370344 303.700548801011 Trimmed Mean ( 38 / 44 ) 7.44321428571429 0.0242700006459489 306.683728372982 Trimmed Mean ( 39 / 44 ) 7.44148148148148 0.0240317856824928 309.651624718949 Trimmed Mean ( 40 / 44 ) 7.4398076923077 0.0237643191487041 313.066309442886 Trimmed Mean ( 41 / 44 ) 7.4384 0.0235144072206547 316.333723840005 Trimmed Mean ( 42 / 44 ) 7.43729166666667 0.0232846622259452 319.407324637056 Trimmed Mean ( 43 / 44 ) 7.43586956521739 0.0230092946708898 323.168079316437 Trimmed Mean ( 44 / 44 ) 7.43409090909091 0.0227852326481578 326.267939585509 Median 7.38 Midrange 7.81 Midmean - Weighted Average at Xnp 7.44507246376812 Midmean - Weighted Average at X(n+1)p 7.45477611940299 Midmean - Empirical Distribution Function 7.44507246376812 Midmean - Empirical Distribution Function - Averaging 7.45477611940299 Midmean - Empirical Distribution Function - Interpolation 7.45477611940299 Midmean - Closest Observation 7.44507246376812 Midmean - True Basic - Statistics Graphics Toolkit 7.45477611940299 Midmean - MS Excel (old versions) 7.44507246376812 Number of observations 132

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Oct/24/t1256411841pi8owrasfq3m0b7/1dczw1256411793.png (open in new window) http://www.freestatistics.org/blog/date/2009/Oct/24/t1256411841pi8owrasfq3m0b7/1dczw1256411793.ps (open in new window) http://www.freestatistics.org/blog/date/2009/Oct/24/t1256411841pi8owrasfq3m0b7/235i51256411793.png (open in new window) http://www.freestatistics.org/blog/date/2009/Oct/24/t1256411841pi8owrasfq3m0b7/235i51256411793.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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