Centrummaten omzet product Y

*Unverified author*

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

Title produced by software: Central Tendency

Date of computation: Sun, 15 Aug 2010 13:20:01 +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/Aug/15/t128187844647dzy8qbnuz4gq0.htm/, Retrieved Sun, 15 Aug 2010 15:20:48 +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/Aug/15/t128187844647dzy8qbnuz4gq0.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 «

93 98 101 108 109 111 111 112 112 112 113 114 114 114 115 115 116 116 117 117 118 118 119 119 120 122 122 124 124 126 126 127 127 127 128 129 131 132 133 134 138 138 140 141 141 141 144 144 144 145 145 146 146 149 150 155 155 156 158 158 159 160 162 163 163 164 164 166 166 167 174 177 181 184 185 187 189 191 192 193 193 201 209 217

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 142.440476190476 3.10914255217981 45.8134272713266 Geometric Mean 139.752626919655 Harmonic Mean 137.204495019281 Quadratic Mean 145.22958015632 Winsorized Mean ( 1 / 28 ) 142.404761904762 3.07205115395068 46.3549448783196 Winsorized Mean ( 2 / 28 ) 142.285714285714 3.01267029064599 47.2291026095673 Winsorized Mean ( 3 / 28 ) 142.25 2.91064454931966 48.8723365528264 Winsorized Mean ( 4 / 28 ) 142.297619047619 2.90397968973823 49.0009002302788 Winsorized Mean ( 5 / 28 ) 142.357142857143 2.87548259099873 49.507217780685 Winsorized Mean ( 6 / 28 ) 142.285714285714 2.86072638151271 49.7376174125663 Winsorized Mean ( 7 / 28 ) 142.202380952381 2.81606630267927 50.4968156527729 Winsorized Mean ( 8 / 28 ) 142.011904761905 2.77841518654598 51.1125570611527 Winsorized Mean ( 9 / 28 ) 141.797619047619 2.73713439450904 51.805135813601 Winsorized Mean ( 10 / 28 ) 141.797619047619 2.69914139053515 52.5343427894694 Winsorized Mean ( 11 / 28 ) 141.535714285714 2.60958593162401 54.2368475283866 Winsorized Mean ( 12 / 28 ) 140.964285714286 2.50801620309309 56.2054924288118 Winsorized Mean ( 13 / 28 ) 140.5 2.42923365140199 57.8371701375505 Winsorized Mean ( 14 / 28 ) 139.5 2.22291177865297 62.7555269352765 Winsorized Mean ( 15 / 28 ) 139.321428571429 2.19653672496784 63.4277710851697 Winsorized Mean ( 16 / 28 ) 139.511904761905 2.17140534242389 64.2495908231352 Winsorized Mean ( 17 / 28 ) 139.107142857143 2.11292079067886 65.8364210673743 Winsorized Mean ( 18 / 28 ) 139.321428571429 2.08498172636566 66.8214146961758 Winsorized Mean ( 19 / 28 ) 139.095238095238 2.05298566899308 67.7526590643274 Winsorized Mean ( 20 / 28 ) 139.333333333333 2.02241692156391 68.8944657492228 Winsorized Mean ( 21 / 28 ) 139.083333333333 1.98742520856713 69.9816691132783 Winsorized Mean ( 22 / 28 ) 138.821428571429 1.8821534579332 73.7567003297749 Winsorized Mean ( 23 / 28 ) 138.547619047619 1.845308883953 75.08099064197 Winsorized Mean ( 24 / 28 ) 138.547619047619 1.77106247643618 78.2285328106613 Winsorized Mean ( 25 / 28 ) 139.142857142857 1.69726441648532 81.9806600500073 Winsorized Mean ( 26 / 28 ) 138.523809523810 1.61546209571609 85.7487216141745 Winsorized Mean ( 27 / 28 ) 138.845238095238 1.49549850921202 92.8421106674294 Winsorized Mean ( 28 / 28 ) 138.845238095238 1.49549850921202 92.8421106674294 Trimmed Mean ( 1 / 28 ) 142.134146341463 2.99013545272307 47.5343503960745 Trimmed Mean ( 2 / 28 ) 141.85 2.89478470374096 49.0019170740697 Trimmed Mean ( 3 / 28 ) 141.615384615385 2.82077769470418 50.2043762191036 Trimmed Mean ( 4 / 28 ) 141.381578947368 2.77880241182276 50.8786009202536 Trimmed Mean ( 5 / 28 ) 141.121621621622 2.73119789624031 51.670229321678 Trimmed Mean ( 6 / 28 ) 140.833333333333 2.68282953891936 52.4943278319728 Trimmed Mean ( 7 / 28 ) 140.542857142857 2.62892697208366 53.4601602232657 Trimmed Mean ( 8 / 28 ) 140.25 2.57515438476134 54.4627540895952 Trimmed Mean ( 9 / 28 ) 139.969696969697 2.51910829831389 55.5631915719474 Trimmed Mean ( 10 / 28 ) 139.703125 2.46046917784979 56.7790591557367 Trimmed Mean ( 11 / 28 ) 139.419354838710 2.39695607108564 58.1651689492845 Trimmed Mean ( 12 / 28 ) 139.15 2.33794842219814 59.5179939295544 Trimmed Mean ( 13 / 28 ) 138.931034482759 2.28634681794101 60.7655117730015 Trimmed Mean ( 14 / 28 ) 138.75 2.23813610997036 61.993548730974 Trimmed Mean ( 15 / 28 ) 138.666666666667 2.21692240135122 62.5491747397875 Trimmed Mean ( 16 / 28 ) 138.596153846154 2.19337746120423 63.1884645017098 Trimmed Mean ( 17 / 28 ) 138.5 2.16620612583194 63.9366671289457 Trimmed Mean ( 18 / 28 ) 138.4375 2.14085268564449 64.6646548491143 Trimmed Mean ( 19 / 28 ) 138.347826086957 2.11121170677539 65.5300582328929 Trimmed Mean ( 20 / 28 ) 138.272727272727 2.07709842857558 66.5701371540447 Trimmed Mean ( 21 / 28 ) 138.166666666667 2.03623296229397 67.8540565962607 Trimmed Mean ( 22 / 28 ) 138.075 1.98790815838002 69.4574341465149 Trimmed Mean ( 23 / 28 ) 138 1.94519505031855 70.9440423351894 Trimmed Mean ( 24 / 28 ) 137.944444444444 1.89357495291123 72.8486845648043 Trimmed Mean ( 25 / 28 ) 137.882352941176 1.83876106562946 74.9865523686056 Trimmed Mean ( 26 / 28 ) 137.75 1.77800177800267 77.4746131889376 Trimmed Mean ( 27 / 28 ) 137.666666666667 1.71359226989181 80.3380530395126 Trimmed Mean ( 28 / 28 ) 137.535714285714 1.65350528968259 83.1782729356225 Median 139 Midrange 155 Midmean - Weighted Average at Xnp 137.697674418605 Midmean - Weighted Average at X(n+1)p 137.697674418605 Midmean - Empirical Distribution Function 137.697674418605 Midmean - Empirical Distribution Function - Averaging 137.697674418605 Midmean - Empirical Distribution Function - Interpolation 137.697674418605 Midmean - Closest Observation 137.697674418605 Midmean - True Basic - Statistics Graphics Toolkit 137.697674418605 Midmean - MS Excel (old versions) 138.822222222222 Number of observations 84

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/Aug/15/t128187844647dzy8qbnuz4gq0/1zb7v1281878399.png (open in new window) http://www.freestatistics.org/blog/date/2010/Aug/15/t128187844647dzy8qbnuz4gq0/1zb7v1281878399.ps (open in new window) http://www.freestatistics.org/blog/date/2010/Aug/15/t128187844647dzy8qbnuz4gq0/2a27y1281878399.png (open in new window) http://www.freestatistics.org/blog/date/2010/Aug/15/t128187844647dzy8qbnuz4gq0/2a27y1281878399.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