Home » date » 2008 » Jan » 06 » attachments

CVWS1WLQ1

R Software Module: rwasp_centraltendency.wasp (opens new window with default values)
Title produced by software: Central Tendency
Date of computation: Sun, 06 Jan 2008 06:23:42 -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/06/t1199625912wa1bpsqv4s6rgj5.htm/, Retrieved Sun, 06 Jan 2008 14:25:12 +0100
 
User-defined keywords:
Investigating associations Werkloosheidsgraad BE Q1
 
Dataseries X:
» Textbox « » Textfile « » CSV «
8,1 7,9 7,8 7,7 7,3 7,2 7,1 6,9 6,8 6,7 6,8 6,8 6,7 6,8 6,8 6,7 6,3 6,2 6,2 6,5 6,5 6,4 6,2 6,2 6,3 7,5 7,4 7,4 7,4 7,4 7,4 7,2 7,2 7,2 7,5 7,4 7,5 8,0 8,0 8,0 8,1 8,1 8,1 7,9 7,9 8,0 8,2 8,1 8,2 8,5 8,5 8,6 8,4 8,4 8,4 7,7 7,8 7,9 8,8 8,8 8,9 8,5 8,5 8,5 8,4 8,5 8,4 8,3 8,4 8,4 8,5 8,5 8,5 8,5 8,5 8,5 8,5 8,5 8,5 8,3 8,3 8,3 8,2 8,1 8,1 8,2 8,0 7,9 7,9 7,8 7,7 7,9 7,7 7,6 7,6 7,5 7,4 7,3 7,3
 
Text written by user:
 
Output produced by software:


Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean7.739393939393940.071570107706259108.137240356802
Geometric Mean7.7054612941712
Harmonic Mean7.67002112349813
Quadratic Mean7.77175668817559
Winsorized Mean ( 1 / 33 )7.738383838383840.0714099120029983108.365682316748
Winsorized Mean ( 2 / 33 )7.738383838383840.0714099120029983108.365682316748
Winsorized Mean ( 3 / 33 )7.732323232323230.0705695573597417109.570238522345
Winsorized Mean ( 4 / 33 )7.732323232323230.0692127936708729111.718120627997
Winsorized Mean ( 5 / 33 )7.732323232323230.0692127936708729111.718120627997
Winsorized Mean ( 6 / 33 )7.738383838383840.0679636829109472113.860572396046
Winsorized Mean ( 7 / 33 )7.745454545454550.0665780599672423116.336441002719
Winsorized Mean ( 8 / 33 )7.745454545454550.0665780599672423116.336441002719
Winsorized Mean ( 9 / 33 )7.763636363636360.0632790273545398122.688933256484
Winsorized Mean ( 10 / 33 )7.763636363636360.0632790273545398122.688933256484
Winsorized Mean ( 11 / 33 )7.763636363636360.0632790273545398122.688933256484
Winsorized Mean ( 12 / 33 )7.775757575757580.0612534991211813126.943891978715
Winsorized Mean ( 13 / 33 )7.775757575757580.0612534991211813126.943891978715
Winsorized Mean ( 14 / 33 )7.775757575757580.0612534991211813126.943891978715
Winsorized Mean ( 15 / 33 )7.775757575757580.0612534991211813126.943891978715
Winsorized Mean ( 16 / 33 )7.775757575757580.0612534991211813126.943891978715
Winsorized Mean ( 17 / 33 )7.79292929292930.0585197132979158133.167591803749
Winsorized Mean ( 18 / 33 )7.829292929292930.0531283267163138147.365697607955
Winsorized Mean ( 19 / 33 )7.829292929292930.0480982924162506162.776941466797
Winsorized Mean ( 20 / 33 )7.829292929292930.0480982924162506162.776941466797
Winsorized Mean ( 21 / 33 )7.829292929292930.0480982924162506162.776941466797
Winsorized Mean ( 22 / 33 )7.829292929292930.0480982924162506162.776941466797
Winsorized Mean ( 23 / 33 )7.852525252525250.0450918902916601174.144956038306
Winsorized Mean ( 24 / 33 )7.852525252525250.0450918902916601174.144956038306
Winsorized Mean ( 25 / 33 )7.852525252525250.0450918902916601174.144956038306
Winsorized Mean ( 26 / 33 )7.852525252525250.0386950462660495202.933605468123
Winsorized Mean ( 27 / 33 )7.852525252525250.0386950462660495202.933605468123
Winsorized Mean ( 28 / 33 )7.852525252525250.0386950462660495202.933605468123
Winsorized Mean ( 29 / 33 )7.852525252525250.0386950462660495202.933605468123
Winsorized Mean ( 30 / 33 )7.822222222222220.0352438147796421221.945957641923
Winsorized Mean ( 31 / 33 )7.822222222222220.0352438147796421221.945957641923
Winsorized Mean ( 32 / 33 )7.822222222222220.0352438147796421221.945957641923
Winsorized Mean ( 33 / 33 )7.855555555555560.0312662152437971251.247408562314
Trimmed Mean ( 1 / 33 )7.743298969072160.0702674569010762110.197512626269
Trimmed Mean ( 2 / 33 )7.748421052631580.0689687784646049112.346792637601
Trimmed Mean ( 3 / 33 )7.753763440860220.067489530290924114.888389464802
Trimmed Mean ( 4 / 33 )7.761538461538460.0661475988758723117.336662153122
Trimmed Mean ( 5 / 33 )7.769662921348310.0650568325123691119.428853531581
Trimmed Mean ( 6 / 33 )7.778160919540230.0637931636527984121.927812858973
Trimmed Mean ( 7 / 33 )7.785882352941180.0626482095079815124.279407409868
Trimmed Mean ( 8 / 33 )7.792771084337350.0616356334850602126.432887012125
Trimmed Mean ( 9 / 33 )7.80.0604509800388242129.030166177463
Trimmed Mean ( 10 / 33 )7.805063291139240.0597218135623897130.690326123226
Trimmed Mean ( 11 / 33 )7.810389610389610.0588562789402438132.702742188636
Trimmed Mean ( 12 / 33 )7.8160.0578298217902173135.155180459543
Trimmed Mean ( 13 / 33 )7.820547945205480.0569706760570891137.273216441537
Trimmed Mean ( 14 / 33 )7.825352112676060.055943285086903139.880096431950
Trimmed Mean ( 15 / 33 )7.83043478260870.0547140262733464143.115674644168
Trimmed Mean ( 16 / 33 )7.835820895522390.0532397482519146147.179901348249
Trimmed Mean ( 17 / 33 )7.841538461538460.0514637805651623152.370043075434
Trimmed Mean ( 18 / 33 )7.846031746031750.0498243405325172157.473870445132
Trimmed Mean ( 19 / 33 )7.847540983606560.0487889711053014160.846617705243
Trimmed Mean ( 20 / 33 )7.849152542372880.0483130306096166162.464503744266
Trimmed Mean ( 21 / 33 )7.850877192982460.0476991148529408164.591674650299
Trimmed Mean ( 22 / 33 )7.852727272727270.0469152502938183167.381122844867
Trimmed Mean ( 23 / 33 )7.854716981132080.0459195704486397171.053799162112
Trimmed Mean ( 24 / 33 )7.854901960784310.0451849120653618173.839044976382
Trimmed Mean ( 25 / 33 )7.855102040816330.0442301133769177177.596244754725
Trimmed Mean ( 26 / 33 )7.855319148936170.0429926429863945182.713101667699
Trimmed Mean ( 27 / 33 )7.855319148936170.0425874685836003184.451422218627
Trimmed Mean ( 28 / 33 )7.855813953488370.0420017303843032187.035483576749
Trimmed Mean ( 29 / 33 )7.856097560975610.0411790824960578190.778839274229
Trimmed Mean ( 30 / 33 )7.856410256410260.0400396011449892196.215996956639
Trimmed Mean ( 31 / 33 )7.859459459459460.0392228290949812200.379718669124
Trimmed Mean ( 32 / 33 )7.862857142857140.038037070437811206.715634310286
Trimmed Mean ( 33 / 33 )7.866666666666670.0363241578628389216.568452773810
Median7.9
Midrange7.55
Midmean - Weighted Average at Xnp7.89298245614035
Midmean - Weighted Average at X(n+1)p7.89298245614035
Midmean - Empirical Distribution Function7.89298245614035
Midmean - Empirical Distribution Function - Averaging7.89298245614035
Midmean - Empirical Distribution Function - Interpolation7.89298245614035
Midmean - Closest Observation7.89298245614035
Midmean - True Basic - Statistics Graphics Toolkit7.89298245614035
Midmean - MS Excel (old versions)7.89298245614035
Number of observations99
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/06/t1199625912wa1bpsqv4s6rgj5/1hzj31199625804.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/06/t1199625912wa1bpsqv4s6rgj5/1hzj31199625804.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/06/t1199625912wa1bpsqv4s6rgj5/27bh31199625804.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/06/t1199625912wa1bpsqv4s6rgj5/27bh31199625804.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

Creative Commons License

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