s 0650692 paper

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

Title produced by software: Central Tendency

Date of computation: Wed, 09 Jan 2008 09:40:34 -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/Jan/09/t1199896757fe7fk927yw503xn.htm/, Retrieved Wed, 09 Jan 2008 17:39:20 +0100

User-defined keywords:

residuals mul.regre.

Dataseries X:

» Textbox « » Textfile « » CSV «

0.0640061800725882 0.055543390675083 0.032601938563982 0.0408184280409284 0.0462166153670518 -0.0137516738094333 -0.00063153303605741 -0.00233761316721433 0.0483117836462727 0.0729374241986308 0.0573703673438476 0.0732313798761501 0.0182045786194426 0.0203594752119119 0.0227844996034191 -0.0378014755630382 -0.0646039043977659 -0.0373526591017259 -0.0233447045393399 -0.0482940754041509 0.00826205351002031 -0.0234440266211367 -0.0252275371441901 -0.0430726405517209 -0.125589104079991 -0.112546393698512 -0.099426252925136 0.000565864129830549 0.0438787023103477 0.0542958079481452 0.0126671582088848 0.0115787640677000 0.0285598815647022 0.0626452665189847 0.0379660234532115 0.00888554806573639 0.0313105724572436 0.00713374836619783 0.0321843775013869 -0.00380766793622727 -0.0143558064793364 -0.0633588514749149 -0.0538295596261275 -0.0658057675563223 -0.0597898942402267 -0.0415734047632801 -0.0616191243316618 -0.0630550766637809 -0.0515952964531803 -0.0327611209862616 0.00676817086252592 -0.0325050019320905 -0.0721257329176413 -0.0613610690889093 -0.0588586143055058 0.00260116590509487 0.0317828995629480 -0.0113512499552947 -0.00444756285018907 0.00956039171219682 -0.0324932466098945 -0.0454346987209958 -0.0467157902693218 0.0301878968357837 0.0413001188554499 0.0635324458398158 0.0644519704523407 0.0643288204920626 0.0764837170845318 0.150066683064087 0.0873953587520234 0.0134886624600154

Text written by user:

Output produced by software:

Summary of compuational 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 9.28670453284529e-18 0.00616231038783583 1.50701667854591e-15 Geometric Mean NaN Harmonic Mean 0.194012254920243 Quadratic Mean 0.0519245502767052 Winsorized Mean ( 1 / 24 ) -0.000689286304591444 0.00586929293702535 -0.117439410843376 Winsorized Mean ( 2 / 24 ) -0.000627939107205765 0.005715073174175 -0.109874202493726 Winsorized Mean ( 3 / 24 ) 0.000374068509423943 0.00544347152410285 0.068718740929869 Winsorized Mean ( 4 / 24 ) 0.000708846825190593 0.00537685378603626 0.131833011161932 Winsorized Mean ( 5 / 24 ) 0.000203041923264642 0.00525580469356577 0.0386319384190987 Winsorized Mean ( 6 / 24 ) 0.000296533836812382 0.00523614506136273 0.0566320897028791 Winsorized Mean ( 7 / 24 ) 0.000294699680445954 0.00522570070981774 0.056394289839885 Winsorized Mean ( 8 / 24 ) 0.000401612802595588 0.00518962234693682 0.0773876740438812 Winsorized Mean ( 9 / 24 ) 0.000322972292835763 0.00516527139097238 0.0625276521578787 Winsorized Mean ( 10 / 24 ) -0.000191433863616250 0.00500701738752295 -0.0382331134086504 Winsorized Mean ( 11 / 24 ) -0.000328276420206258 0.00493837644523508 -0.0664745638261344 Winsorized Mean ( 12 / 24 ) 0.000301968905200491 0.00476820759955191 0.063329647230307 Winsorized Mean ( 13 / 24 ) -0.000375071298633245 0.00453593014391821 -0.0826889495060107 Winsorized Mean ( 14 / 24 ) -0.000140561037837147 0.00437388578799629 -0.0321364216283159 Winsorized Mean ( 15 / 24 ) -0.00029881685489444 0.00425109810481671 -0.0702916864129449 Winsorized Mean ( 16 / 24 ) -0.000587148389688172 0.00412447478293364 -0.142357129231991 Winsorized Mean ( 17 / 24 ) -0.000143172764260285 0.00402356644833597 -0.0355835466118614 Winsorized Mean ( 18 / 24 ) -0.000481464964079311 0.00386626159018038 -0.124529846946246 Winsorized Mean ( 19 / 24 ) -0.000901617159784372 0.00352421694338952 -0.255834749752158 Winsorized Mean ( 20 / 24 ) -0.000892935104585153 0.00349034678633231 -0.255829910105711 Winsorized Mean ( 21 / 24 ) 0.000329165780380590 0.00328089057710095 0.100328180000275 Winsorized Mean ( 22 / 24 ) 0.000263102209078749 0.00325032383342633 0.080946460279744 Winsorized Mean ( 23 / 24 ) -9.17751087416615e-05 0.00320177839636933 -0.0286637916121022 Winsorized Mean ( 24 / 24 ) 0.00178745628946597 0.00279079685254045 0.640482408398467 Trimmed Mean ( 1 / 24 ) -0.000349679699772790 0.00567990629573073 -0.0615643430659455 Trimmed Mean ( 2 / 24 ) 9.90376415284239e-06 0.00545405753417812 0.00181585252645026 Trimmed Mean ( 3 / 24 ) 0.000357818057621174 0.00528406103692629 0.0677164883449784 Trimmed Mean ( 4 / 24 ) 0.000351724138195136 0.00520459289304618 0.067579567782347 Trimmed Mean ( 5 / 24 ) 0.000248043358099680 0.00513106366666785 0.0483415085474395 Trimmed Mean ( 6 / 24 ) 0.000258843702460089 0.00507691873211059 0.050984409268352 Trimmed Mean ( 7 / 24 ) 0.000251045743628581 0.00501334247924392 0.0500755224020606 Trimmed Mean ( 8 / 24 ) 0.0002430276736009 0.00493527275973359 0.0492430075159653 Trimmed Mean ( 9 / 24 ) 0.000216596818768452 0.00484514897085771 0.0447038512275318 Trimmed Mean ( 10 / 24 ) 0.000200231361219635 0.00473656030422619 0.04227358005787 Trimmed Mean ( 11 / 24 ) 0.000256631153596002 0.00463483837899387 0.0553700329140089 Trimmed Mean ( 12 / 24 ) 0.000336391277296310 0.00451939708730816 0.0744327773810802 Trimmed Mean ( 13 / 24 ) 0.000340881151917504 0.00440866063889361 0.077320796459183 Trimmed Mean ( 14 / 24 ) 0.000431001040798018 0.00431540495390217 0.0998749932861547 Trimmed Mean ( 15 / 24 ) 0.000500988234100283 0.00422670048405697 0.118529390949276 Trimmed Mean ( 16 / 24 ) 0.00059696484477965 0.00413336223819752 0.144425968588704 Trimmed Mean ( 17 / 24 ) 0.000737188780440313 0.00403361569250982 0.182761283334262 Trimmed Mean ( 18 / 24 ) 0.000840760726875678 0.00391876894400975 0.214547154702976 Trimmed Mean ( 19 / 24 ) 0.000996316690517441 0.00379645154696247 0.262433664223791 Trimmed Mean ( 20 / 24 ) 0.00122107201489529 0.00371158214223881 0.328989624397412 Trimmed Mean ( 21 / 24 ) 0.00147475286923294 0.00359070409392525 0.410714119196824 Trimmed Mean ( 22 / 24 ) 0.00161502883929649 0.00347436108930288 0.464841965985908 Trimmed Mean ( 23 / 24 ) 0.00178520142212110 0.0033001307915823 0.54094868805644 Trimmed Mean ( 24 / 24 ) 0.00203002444788581 0.00303837100031537 0.668129220452377 Median 0.00468466838381040 Midrange 0.012238789492048 Midmean - Weighted Average at Xnp -0.000346087956329635 Midmean - Weighted Average at X(n+1)p 0.00084076072687568 Midmean - Empirical Distribution Function -0.000346087956329635 Midmean - Empirical Distribution Function - Averaging 0.00084076072687568 Midmean - Empirical Distribution Function - Interpolation 0.00084076072687568 Midmean - Closest Observation -0.000346087956329635 Midmean - True Basic - Statistics Graphics Toolkit 0.00084076072687568 Midmean - MS Excel (old versions) 0.000737188780440314 Number of observations 72

Charts produced by software:

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/09/t1199896757fe7fk927yw503xn/1x32a1199896831.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/09/t1199896757fe7fk927yw503xn/1x32a1199896831.ps (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/09/t1199896757fe7fk927yw503xn/2bk7l1199896831.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/09/t1199896757fe7fk927yw503xn/2bk7l1199896831.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.

FreeStatistics.org is powered by