ct residuals: bel 20

*Unverified author*

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

Title produced by software: Central Tendency

Date of computation: Wed, 30 Dec 2009 07:03:22 -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/30/t126218184814kqsfxkpfewh7u.htm/, Retrieved Wed, 30 Dec 2009 15:04:11 +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/30/t126218184814kqsfxkpfewh7u.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)

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Dataseries X:

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3.03292826890205 12.0260515677640 59.7475455407064 -114.465065205481 -2.22693508199627 4.35951995596352 -147.147615338686 65.153572198053 -58.9442153086111 94.5064127441215 54.0497539166126 -31.9582830652207 -291.427228013426 103.210014980995 13.4184752845463 25.848767749962 81.7651411018169 0.0342656138418533 -13.8542282976155 63.9062793697858 -37.9084354029856 -239.488697273233 -197.314334937415 -18.3811532105201 -78.8708128245712 -37.8295732489139 153.835701431603 -46.2523335694268 -13.131794384233 -185.299119376881 -72.9117819276823 243.825225144514 56.6148178109725 51.4504706290238 -39.3475780548667 74.1339479106434 -2.27501727330446 16.1353440571070 29.3431180387506 1.19479122514349 142.274824521032 37.8895641544145 -61.2157143422046 44.3522168977665 -99.399814019555 69.8361993067019 -30.5517825502993 62.8935794195445 125.965949022935 71.5094060664719 52.3393013125101 19.3218862161034 19.4930838292207 etc...

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 -2.53843807914272 13.3406261203776 -0.190278781238408 Geometric Mean NaN Harmonic Mean 3.48712742822243 Quadratic Mean 139.940691898706 Winsorized Mean ( 1 / 37 ) -0.456131380494448 12.5530549477827 -0.0363362848638702 Winsorized Mean ( 2 / 37 ) 0.583872626011714 12.2373206494826 0.0477124562423229 Winsorized Mean ( 3 / 37 ) 1.75673056858488 11.7347944149263 0.149702713696489 Winsorized Mean ( 4 / 37 ) 1.81519184996246 11.6857214662205 0.155334170441215 Winsorized Mean ( 5 / 37 ) 1.34640529051764 11.4719846629238 0.117364634810668 Winsorized Mean ( 6 / 37 ) 1.93320574835337 11.1866708198349 0.172813322166023 Winsorized Mean ( 7 / 37 ) 2.68302540583701 10.5080233139401 0.255331124197037 Winsorized Mean ( 8 / 37 ) 2.15000291199052 10.0537328723263 0.213851207237520 Winsorized Mean ( 9 / 37 ) 4.31155122157017 9.60853770493297 0.448720851598121 Winsorized Mean ( 10 / 37 ) 5.25351115041873 9.3854155947982 0.55975263933229 Winsorized Mean ( 11 / 37 ) 4.95309142708963 9.15137303741363 0.541240249614989 Winsorized Mean ( 12 / 37 ) 8.32407473467547 8.52897938575672 0.97597547821215 Winsorized Mean ( 13 / 37 ) 10.9445275417029 7.81019061522605 1.40131375543721 Winsorized Mean ( 14 / 37 ) 10.1934097518781 7.64790359311618 1.33283711382726 Winsorized Mean ( 15 / 37 ) 11.2418818549848 7.49345709991909 1.50022635815265 Winsorized Mean ( 16 / 37 ) 10.7259500845248 7.13229526512216 1.50385670893016 Winsorized Mean ( 17 / 37 ) 11.4117555276703 6.71947675493522 1.69831014286772 Winsorized Mean ( 18 / 37 ) 11.6543597376637 6.6048406715699 1.76451792210964 Winsorized Mean ( 19 / 37 ) 11.414134916268 6.53789752850621 1.74584181940764 Winsorized Mean ( 20 / 37 ) 10.4512639994653 6.37052052262904 1.64056672643010 Winsorized Mean ( 21 / 37 ) 10.2840035356280 6.27928606048444 1.63776636970646 Winsorized Mean ( 22 / 37 ) 9.9371640867538 6.20977999238484 1.60024414696494 Winsorized Mean ( 23 / 37 ) 9.16202608265555 6.10137794589779 1.50163228108424 Winsorized Mean ( 24 / 37 ) 8.76072963634898 6.01626699544973 1.45617367762684 Winsorized Mean ( 25 / 37 ) 10.0024770501453 5.82888814217058 1.71601801341491 Winsorized Mean ( 26 / 37 ) 10.1068672821185 5.62118171344227 1.79799689768956 Winsorized Mean ( 27 / 37 ) 10.1646517930647 5.16614070217341 1.96755225594 Winsorized Mean ( 28 / 37 ) 10.0755959489550 5.02025023953848 2.00699078097773 Winsorized Mean ( 29 / 37 ) 12.2774316814447 4.64842614392094 2.64120183935818 Winsorized Mean ( 30 / 37 ) 11.7121159493463 4.42410302894462 2.64734249467518 Winsorized Mean ( 31 / 37 ) 13.4971409745776 4.18256779920273 3.22699872962021 Winsorized Mean ( 32 / 37 ) 13.7004027025192 4.11155955922583 3.33216690775576 Winsorized Mean ( 33 / 37 ) 13.4227752496039 4.07555889680231 3.29348086716043 Winsorized Mean ( 34 / 37 ) 14.2427883876943 3.76791076423921 3.78002274440013 Winsorized Mean ( 35 / 37 ) 13.2701752353130 3.65877837104164 3.62694153336623 Winsorized Mean ( 36 / 37 ) 12.8944249500897 3.51850416847504 3.66474624802797 Winsorized Mean ( 37 / 37 ) 16.7086432612443 3.05153293623817 5.47549169888436 Trimmed Mean ( 1 / 37 ) 1.16686669777598 11.9612851109474 0.0975536229554486 Trimmed Mean ( 2 / 37 ) 2.85053760140232 11.2828122597067 0.252644246468782 Trimmed Mean ( 3 / 37 ) 4.04863194553735 10.7037808191257 0.378243166031874 Trimmed Mean ( 4 / 37 ) 4.87193632366592 10.2668910682724 0.474528880385375 Trimmed Mean ( 5 / 37 ) 5.71178443401513 9.78540233213528 0.583704608164921 Trimmed Mean ( 6 / 37 ) 6.69068763589033 9.29730017744063 0.719637691393992 Trimmed Mean ( 7 / 37 ) 6.69068763589033 8.81298053122399 0.75918556862636 Trimmed Mean ( 8 / 37 ) 8.41844376655406 8.42278141243474 0.999485010275314 Trimmed Mean ( 9 / 37 ) 9.35365470050104 8.07440746934444 1.15843233525351 Trimmed Mean ( 10 / 37 ) 10.0370167104660 7.76791119974198 1.29211269958897 Trimmed Mean ( 11 / 37 ) 10.6336112241349 7.45918721248245 1.42557237420455 Trimmed Mean ( 12 / 37 ) 11.2924802915037 7.14590385359402 1.5802731918684 Trimmed Mean ( 13 / 37 ) 11.6155126609233 6.89854351774161 1.68376304810582 Trimmed Mean ( 14 / 37 ) 11.6155126609233 6.7340357007984 1.72489621038779 Trimmed Mean ( 15 / 37 ) 11.8304960228317 6.56927900176218 1.80088195670457 Trimmed Mean ( 16 / 37 ) 11.8856320334908 6.40233671324071 1.85645219329219 Trimmed Mean ( 17 / 37 ) 11.9901163649317 6.26286834406673 1.91447683492993 Trimmed Mean ( 18 / 37 ) 12.0404677789992 6.1601228213666 1.95458242118751 Trimmed Mean ( 19 / 37 ) 12.0730842117147 6.05521087344268 1.99383381752494 Trimmed Mean ( 20 / 37 ) 12.1273046504061 5.94044355629242 2.04148133645007 Trimmed Mean ( 21 / 37 ) 12.2621166158078 5.82791507334039 2.10403145232855 Trimmed Mean ( 22 / 37 ) 12.4181724451610 5.70658293800245 2.17611354817318 Trimmed Mean ( 23 / 37 ) 12.6107542128416 5.57107440168178 2.26361260029748 Trimmed Mean ( 24 / 37 ) 12.8749424961064 5.42373991966254 2.37381266189243 Trimmed Mean ( 25 / 37 ) 13.1868807662109 5.25813364293777 2.50790140793061 Trimmed Mean ( 26 / 37 ) 13.4265206390809 5.08826164937167 2.63872449262489 Trimmed Mean ( 27 / 37 ) 13.6751586435498 4.91517067625108 2.78223474713195 Trimmed Mean ( 28 / 37 ) 13.6751586435498 4.77956940589786 2.86116959127636 Trimmed Mean ( 29 / 37 ) 14.2264267614347 4.63535466388901 3.0691128927552 Trimmed Mean ( 30 / 37 ) 14.3727002258559 4.5220809873694 3.17833764277998 Trimmed Mean ( 31 / 37 ) 14.3727002258559 4.41710461399665 3.25387363032167 Trimmed Mean ( 32 / 37 ) 14.6556104902557 4.32678461625232 3.38718281358544 Trimmed Mean ( 33 / 37 ) 14.7292410905604 4.22152322477541 3.48908209342945 Trimmed Mean ( 34 / 37 ) 14.8314382070835 4.08948967197956 3.62672103287258 Trimmed Mean ( 35 / 37 ) 14.8783106102055 3.98105854921448 3.73727500519711 Trimmed Mean ( 36 / 37 ) 15.0090820582737 3.85777927248939 3.89060156067159 Trimmed Mean ( 37 / 37 ) 15.1853034839557 3.72221353503252 4.07964329317368 Median 12.026051567764 Midrange -204.477548421212 Midmean - Weighted Average at Xnp 12.5955374066374 Midmean - Weighted Average at X(n+1)p 13.6751586435498 Midmean - Empirical Distribution Function 13.6751586435498 Midmean - Empirical Distribution Function - Averaging 13.6751586435498 Midmean - Empirical Distribution Function - Interpolation 13.9375601657073 Midmean - Closest Observation 12.5955374066374 Midmean - True Basic - Statistics Graphics Toolkit 13.6751586435498 Midmean - MS Excel (old versions) 13.6751586435498 Number of observations 111

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Dec/30/t126218184814kqsfxkpfewh7u/1t5oi1262181799.png (open in new window) http://www.freestatistics.org/blog/date/2009/Dec/30/t126218184814kqsfxkpfewh7u/1t5oi1262181799.ps (open in new window) http://www.freestatistics.org/blog/date/2009/Dec/30/t126218184814kqsfxkpfewh7u/2qbke1262181799.png (open in new window) http://www.freestatistics.org/blog/date/2009/Dec/30/t126218184814kqsfxkpfewh7u/2qbke1262181799.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')

Copyright

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

Disclaimer

Information provided on this web site is provided "AS IS" without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose, and noninfringement. We use reasonable efforts to include accurate and timely information and periodically update the information, and software without notice. However, we make no warranties or representations as to the accuracy or completeness of such information (or software), and we assume no liability or responsibility for errors or omissions in the content of this web site, or any software bugs in online applications. Your use of this web site is AT YOUR OWN RISK. Under no circumstances and under no legal theory shall we be liable to you or any other person for any direct, indirect, special, incidental, exemplary, or consequential damages arising from your access to, or use of, this web site.

Privacy Policy

We may request personal information to be submitted to our servers in order to be able to:

• personalize online software applications according to your needs
• enforce strict security rules with respect to the data that you upload (e.g. statistical data)
• manage user sessions of online applications
• alert you about important changes or upgrades in resources or applications

We NEVER allow other companies to directly offer registered users information about their products and services. Banner references and hyperlinks of third parties NEVER contain any personal data of the visitor.

We do NOT sell, nor transmit by any means, personal information, nor statistical data series uploaded by you to third parties.

We carefully protect your data from loss, misuse, alteration, and destruction. However, at any time, and under any circumstance you are solely responsible for managing your passwords, and keeping them secret.

We store a unique ANONYMOUS USER ID in the form of a small 'Cookie' on your computer. This allows us to track your progress when using this website which is necessary to create state-dependent features. The cookie is used for NO OTHER PURPOSE. At any time you may opt to disallow cookies from this website - this will not affect other features of this website.

We examine cookies that are used by third-parties (banner and online ads) very closely: abuse from third-parties automatically results in termination of the advertising contract without refund. We have very good reason to believe that the cookies that are produced by third parties (banner ads) do NOT cause any privacy or security risk.

FreeStatistics.org is safe. There is no need to download any software to use the applications and services contained in this website. Hence, your system's security is not compromised by their use, and your personal data - other than data you submit in the account application form, and the user-agent information that is transmitted by your browser - is never transmitted to our servers.

As a general rule, we do not log on-line behavior of individuals (other than normal logging of webserver 'hits'). However, in cases of abuse, hacking, unauthorized access, Denial of Service attacks, illegal copying, hotlinking, non-compliance with international webstandards (such as robots.txt), or any other harmful behavior, our system engineers are empowered to log, track, identify, publish, and ban misbehaving individuals - even if this leads to ban entire blocks of IP addresses, or disclosing user's identity.

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