Central Tendency - Verkoopcijfers autos - Alexander De Houwer

*Unverified author*

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

Title produced by software: Central Tendency

Date of computation: Thu, 05 Nov 2009 08:46:14 -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/Nov/05/t12574360202y45m1d0utby681.htm/, Retrieved Thu, 05 Nov 2009 16:47:00 +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/Nov/05/t12574360202y45m1d0utby681.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 «

7054 8620 8771 11379 12066 12657 27630 29722 29789 30630 31879 32228 32745 33008 33091 33425 33520 34077 34418 34568 34571 34801 34931 35502 36222 36279 36432 37013 37848 37898 37967 38064 38401 38529 38683 38708 39018 39253 39341 39383 39401 39486 39525 39556 40439 40600 40809 40870 40891 40898 41117 41519 41547 41629 41697 41756 41888 42438 43412 44720 44953 45315 45409 45633 47060 47221 48138 48428 49267 50380 50530 50669 51321 52073 56231 68184 68897 68906 69116 70249 70938

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 39916.5061728395 1418.2986150518 28.1439365090134 Geometric Mean 37171.0295699665 Harmonic Mean 32743.5572529146 Quadratic Mean 41883.8052469324 Winsorized Mean ( 1 / 27 ) 39927.3333333333 1410.51083163967 28.3070022843562 Winsorized Mean ( 2 / 27 ) 39903.0864197531 1402.07421082251 28.4600387852113 Winsorized Mean ( 3 / 27 ) 39991.9012345679 1374.05397080787 29.1050439678543 Winsorized Mean ( 4 / 27 ) 40025.3827160494 1365.17853924036 29.3187898619628 Winsorized Mean ( 5 / 27 ) 40017.8518518519 1344.28636066827 29.7688446619054 Winsorized Mean ( 6 / 27 ) 40241.5555555556 874.206322936255 46.0321030628028 Winsorized Mean ( 7 / 27 ) 40063.012345679 765.899869050567 52.3084204144628 Winsorized Mean ( 8 / 27 ) 39995.3580246914 750.4920577854 53.2921802566602 Winsorized Mean ( 9 / 27 ) 40016.3580246914 721.422477357062 55.4686876007685 Winsorized Mean ( 10 / 27 ) 40153.3950617284 694.189405763131 57.8421317415342 Winsorized Mean ( 11 / 27 ) 40180.4197530864 683.40781275775 58.7942060406753 Winsorized Mean ( 12 / 27 ) 40092.1234567901 642.234719068801 62.4259671213682 Winsorized Mean ( 13 / 27 ) 39999.6790123457 612.593350615447 65.2956467323057 Winsorized Mean ( 14 / 27 ) 39963.9012345679 601.981951250329 66.3872083732112 Winsorized Mean ( 15 / 27 ) 39855.9382716049 564.899712323554 70.5540070248379 Winsorized Mean ( 16 / 27 ) 39842.9012345679 557.066589156638 71.5226904828154 Winsorized Mean ( 17 / 27 ) 39660.3086419753 493.504602603393 80.3646175390353 Winsorized Mean ( 18 / 27 ) 39686.3086419753 475.384868005919 83.4824819065995 Winsorized Mean ( 19 / 27 ) 39699.4444444444 467.217069927993 84.9700214304304 Winsorized Mean ( 20 / 27 ) 39610.8024691358 453.822311661351 87.2826246116652 Winsorized Mean ( 21 / 27 ) 39610.024691358 436.716507961071 90.6996277202529 Winsorized Mean ( 22 / 27 ) 39290.0740740741 381.678417568489 102.940256156936 Winsorized Mean ( 23 / 27 ) 39175.6419753086 322.289201998592 121.554311259487 Winsorized Mean ( 24 / 27 ) 39226.012345679 272.020477110144 144.202424620393 Winsorized Mean ( 25 / 27 ) 39202.8641975309 264.642600683699 148.135122978126 Winsorized Mean ( 26 / 27 ) 39233.037037037 255.604309627473 153.491297131166 Winsorized Mean ( 27 / 27 ) 39404.037037037 226.794814976307 173.743112430298 Trimmed Mean ( 1 / 27 ) 39939.8101265823 1335.64345899421 29.9030477464835 Trimmed Mean ( 2 / 27 ) 39952.9350649351 1246.53098779494 32.0512971246788 Trimmed Mean ( 3 / 27 ) 39979.8533333333 1144.53003844307 34.9312398892726 Trimmed Mean ( 4 / 27 ) 39975.397260274 1033.63200661126 38.6746898360205 Trimmed Mean ( 5 / 27 ) 39961.1408450704 897.131218864598 44.5432507583951 Trimmed Mean ( 6 / 27 ) 39947.8260869565 723.791680251234 55.1924361345108 Trimmed Mean ( 7 / 27 ) 39888.6417910448 679.364608132574 58.7146302788572 Trimmed Mean ( 8 / 27 ) 39857.6 655.786295074617 60.7783363259595 Trimmed Mean ( 9 / 27 ) 39835.4603174603 631.202340933473 63.1104445185492 Trimmed Mean ( 10 / 27 ) 39808.7704918033 608.245911403921 65.448480204197 Trimmed Mean ( 11 / 27 ) 39761.4576271186 586.250707517108 67.823300027247 Trimmed Mean ( 12 / 27 ) 39707.3333333333 561.514635872549 70.7146898702495 Trimmed Mean ( 13 / 27 ) 39660.1090909091 540.12389068438 73.4278001305526 Trimmed Mean ( 14 / 27 ) 39620.1886792453 520.005619915347 76.1918470913741 Trimmed Mean ( 15 / 27 ) 39581.1960784314 497.041266302442 79.633621515737 Trimmed Mean ( 16 / 27 ) 39550.9183673469 476.339535155676 83.0309379094914 Trimmed Mean ( 17 / 27 ) 39519.4680851064 451.568602155218 87.515978516864 Trimmed Mean ( 18 / 27 ) 39504.5555555556 434.530262520363 90.9132434791105 Trimmed Mean ( 19 / 27 ) 39485.5348837209 416.376886185778 94.831236299950 Trimmed Mean ( 20 / 27 ) 39463.2926829268 394.258026881960 100.095089997348 Trimmed Mean ( 21 / 27 ) 39447.9743589744 368.129859017314 107.15776890328 Trimmed Mean ( 22 / 27 ) 39431.0810810811 337.185904066984 116.941665133332 Trimmed Mean ( 23 / 27 ) 39445.9142857143 311.319645433200 126.705509479897 Trimmed Mean ( 24 / 27 ) 39474.7575757576 293.232080590946 134.619505124421 Trimmed Mean ( 25 / 27 ) 39501.8387096774 282.791975281098 139.685147255017 Trimmed Mean ( 26 / 27 ) 39535.2413793103 269.265149667661 146.826432711795 Trimmed Mean ( 27 / 27 ) 39570.1111111111 251.878652629639 157.099899884310 Median 39401 Midrange 38996 Midmean - Weighted Average at Xnp 39326.05 Midmean - Weighted Average at X(n+1)p 39463.2926829268 Midmean - Empirical Distribution Function 39463.2926829268 Midmean - Empirical Distribution Function - Averaging 39463.2926829268 Midmean - Empirical Distribution Function - Interpolation 39463.2926829268 Midmean - Closest Observation 39346.7380952381 Midmean - True Basic - Statistics Graphics Toolkit 39463.2926829268 Midmean - MS Excel (old versions) 39463.2926829268 Number of observations 81

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Nov/05/t12574360202y45m1d0utby681/13k9a1257435969.png (open in new window) http://www.freestatistics.org/blog/date/2009/Nov/05/t12574360202y45m1d0utby681/13k9a1257435969.ps (open in new window) http://www.freestatistics.org/blog/date/2009/Nov/05/t12574360202y45m1d0utby681/2f3jo1257435969.png (open in new window) http://www.freestatistics.org/blog/date/2009/Nov/05/t12574360202y45m1d0utby681/2f3jo1257435969.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