Kelly Janbroers - 2de zit - Stap 9/B

*Unverified author*

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

Title produced by software: Central Tendency

Date of computation: Thu, 08 Jul 2010 14:03:44 +0000

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Jul/08/t1278597818krnfsah98afupcu.htm/, Retrieved Thu, 08 Jul 2010 16:03:38 +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/2010/Jul/08/t1278597818krnfsah98afupcu.htm/}, year = {2010}, } @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 = {2010}, 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:

Dataseries X:

» Textbox « » Textfile « » CSV «

268 267 266 264 262 261 262 264 265 265 266 268 260 264 265 262 258 265 273 273 270 263 260 257 248 248 237 228 225 231 243 250 246 240 236 235 225 230 225 221 231 234 249 257 253 252 245 239 229 232 222 218 223 221 230 234 237 226 215 211 203 202 187 179 181 172 182 180 175 163 160 151 145 140 125 122 124 108 115 116 104 98 101 91

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 217.833333333333 5.57378487521272 39.0817618925452 Geometric Mean 210.266968625264 Harmonic Mean 200.745752612892 Quadratic Mean 223.673710058712 Winsorized Mean ( 1 / 28 ) 217.916666666667 5.5515166280301 39.2535375948234 Winsorized Mean ( 2 / 28 ) 217.916666666667 5.52478918721839 39.443435628425 Winsorized Mean ( 3 / 28 ) 217.952380952381 5.48975222116371 39.7016790871082 Winsorized Mean ( 4 / 28 ) 218.142857142857 5.44271115011188 40.0798152109125 Winsorized Mean ( 5 / 28 ) 218.5 5.33667153847613 40.9431231479522 Winsorized Mean ( 6 / 28 ) 218.5 5.31226565410701 41.1312261522678 Winsorized Mean ( 7 / 28 ) 219 5.19791873261686 42.1322477832865 Winsorized Mean ( 8 / 28 ) 219.095238095238 5.14498957086823 42.5841947932783 Winsorized Mean ( 9 / 28 ) 219.202380952381 5.12118712711299 42.8030406840364 Winsorized Mean ( 10 / 28 ) 220.988095238095 4.73892385728996 46.6325482098949 Winsorized Mean ( 11 / 28 ) 221.642857142857 4.60585457889568 48.1219833032591 Winsorized Mean ( 12 / 28 ) 222.357142857143 4.42031646002337 50.3034443049734 Winsorized Mean ( 13 / 28 ) 223.75 4.15594863597119 53.8384902217909 Winsorized Mean ( 14 / 28 ) 224.25 4.0643445986577 55.1749475362059 Winsorized Mean ( 15 / 28 ) 225.678571428571 3.75868322339159 60.0419237311873 Winsorized Mean ( 16 / 28 ) 226.059523809524 3.63847259752446 62.130335669789 Winsorized Mean ( 17 / 28 ) 226.869047619048 3.50337022238039 64.7573716787773 Winsorized Mean ( 18 / 28 ) 227.083333333333 3.4682068961342 65.4757170301603 Winsorized Mean ( 19 / 28 ) 227.083333333333 3.40396516842525 66.7114150989938 Winsorized Mean ( 20 / 28 ) 227.083333333333 3.33672554014763 68.055742254212 Winsorized Mean ( 21 / 28 ) 228.333333333333 3.13564690406626 72.818573110778 Winsorized Mean ( 22 / 28 ) 231.738095238095 2.47037054922802 93.8070182671635 Winsorized Mean ( 23 / 28 ) 231.738095238095 2.39579852214191 96.7268712691728 Winsorized Mean ( 24 / 28 ) 234.02380952381 2.07711184796041 112.667890154113 Winsorized Mean ( 25 / 28 ) 234.02380952381 1.76339852325817 132.711809858734 Winsorized Mean ( 26 / 28 ) 234.642857142857 1.60469789160893 146.222449951371 Winsorized Mean ( 27 / 28 ) 234.964285714286 1.40305854214376 167.46577470337 Winsorized Mean ( 28 / 28 ) 234.630952380952 1.36032417438287 172.481645771969 Trimmed Mean ( 1 / 28 ) 218.707317073171 5.45169827609799 40.1172819912016 Trimmed Mean ( 2 / 28 ) 219.5375 5.33429742654177 41.1558416123651 Trimmed Mean ( 3 / 28 ) 220.410256410256 5.2123868163081 42.2858594685748 Trimmed Mean ( 4 / 28 ) 221.315789473684 5.08348583698702 43.5362262373997 Trimmed Mean ( 5 / 28 ) 222.216216216216 4.94730732675511 44.9165983714955 Trimmed Mean ( 6 / 28 ) 223.083333333333 4.81795960358574 46.3024499348863 Trimmed Mean ( 7 / 28 ) 224 4.66909135471506 47.9750733028161 Trimmed Mean ( 8 / 28 ) 224.882352941176 4.519858116007 49.754294752032 Trimmed Mean ( 9 / 28 ) 225.80303030303 4.35147107976462 51.8911940729811 Trimmed Mean ( 10 / 28 ) 226.765625 4.15102672967379 54.6288038520582 Trimmed Mean ( 11 / 28 ) 227.548387096774 3.99786282272355 56.9175074750956 Trimmed Mean ( 12 / 28 ) 228.3 3.83989612618454 59.454733278644 Trimmed Mean ( 13 / 28 ) 229.01724137931 3.68598754226222 62.1318544225884 Trimmed Mean ( 14 / 28 ) 229.625 3.5542696566535 64.6053963773255 Trimmed Mean ( 15 / 28 ) 230.222222222222 3.40947283434739 67.5242870108656 Trimmed Mean ( 16 / 28 ) 230.711538461538 3.29499100382386 70.0188674851603 Trimmed Mean ( 17 / 28 ) 231.2 3.17503013001934 72.8182066097722 Trimmed Mean ( 18 / 28 ) 231.645833333333 3.05207312163954 75.897864861408 Trimmed Mean ( 19 / 28 ) 232.108695652174 2.90064598183771 80.0196566921692 Trimmed Mean ( 20 / 28 ) 232.613636363636 2.71617500710637 85.6401504892158 Trimmed Mean ( 21 / 28 ) 233.166666666667 2.48501120347137 93.829221510531 Trimmed Mean ( 22 / 28 ) 233.65 2.23220886349293 104.672104757432 Trimmed Mean ( 23 / 28 ) 233.842105263158 2.09603239491999 111.564165625448 Trimmed Mean ( 24 / 28 ) 234.055555555556 1.92887188201119 121.343235773395 Trimmed Mean ( 25 / 28 ) 234.058823529412 1.79866318772329 130.129323336893 Trimmed Mean ( 26 / 28 ) 234.0625 1.71211144638388 136.709850573313 Trimmed Mean ( 27 / 28 ) 234 1.63580624432282 143.048726468745 Trimmed Mean ( 28 / 28 ) 233.892857142857 1.5864332942572 147.433149562315 Median 233 Midrange 182 Midmean - Weighted Average at Xnp 232.613636363636 Midmean - Weighted Average at X(n+1)p 233.790697674419 Midmean - Empirical Distribution Function 232.613636363636 Midmean - Empirical Distribution Function - Averaging 233.790697674419 Midmean - Empirical Distribution Function - Interpolation 233.790697674419 Midmean - Closest Observation 232.613636363636 Midmean - True Basic - Statistics Graphics Toolkit 233.790697674419 Midmean - MS Excel (old versions) 232.613636363636 Number of observations 84

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/Jul/08/t1278597818krnfsah98afupcu/1pco51278597820.png (open in new window) http://www.freestatistics.org/blog/date/2010/Jul/08/t1278597818krnfsah98afupcu/1pco51278597820.ps (open in new window) http://www.freestatistics.org/blog/date/2010/Jul/08/t1278597818krnfsah98afupcu/2h3n81278597820.png (open in new window) http://www.freestatistics.org/blog/date/2010/Jul/08/t1278597818krnfsah98afupcu/2h3n81278597820.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