Home » date » 2009 » Oct » 20 »

*Unverified author*
R Software Module: rwasp_centraltendency.wasp (opens new window with default values)
Title produced by software: Central Tendency
Date of computation: Tue, 20 Oct 2009 08:30:10 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Oct/20/t12560490559kbnhxrkrxj5g28.htm/, Retrieved Tue, 20 Oct 2009 16:30:56 +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/2009/Oct/20/t12560490559kbnhxrkrxj5g28.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:
KDGP1W51
 
Dataseries X:
» Textbox « » Textfile « » CSV «
8,55 8,56 8,57 8,59 8,61 8,62 8,62 8,63 8,71 8,72 8,74 8,75 8,79 8,82 8,82 8,84 8,86 8,86 8,85 8,86 8,86 8,87 8,88 8,9 8,91 8,96 8,98 8,99 9 9 9 9,01 9,01 8,99 8,99 8,99 9 9 9,02 9,05 9,05 9,05 9,06 9,06 9,08 9,07 9,06 9,08 9,07 9,11 9,15 9,15 9,17 9,2 9,23 9,26 9,27 9,28 9,29 9,29 9,11 9,06 9,11 9,13 9,13 9,19 9,2 9,23 9,24 9,28 9,32 9,32 9,32 9,36 9,37 9,38 9,41 9,44 9,44 9,44 9,47 9,48 9,56 9,58 9,56 9,58 9,7 9,74 9,76 9,78 9,84 9,88 9,96 9,97 9,96 9,96
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk
R Framework
error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.


Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean9.146041666666670.0353877268243571258.452364348295
Geometric Mean9.1396214484026
Harmonic Mean9.13328310587145
Quadratic Mean9.15254313474312
Winsorized Mean ( 1 / 32 )9.146041666666670.0353440108721713258.7720363641
Winsorized Mean ( 2 / 32 )9.146250.0353079342258684259.042342763259
Winsorized Mean ( 3 / 32 )9.1468750.0352022080211086259.838104317638
Winsorized Mean ( 4 / 32 )9.1443750.0342823712114141266.736946041686
Winsorized Mean ( 5 / 32 )9.14281250.0337351991993812271.017000550799
Winsorized Mean ( 6 / 32 )9.13906250.0329430256858370277.420252382254
Winsorized Mean ( 7 / 32 )9.138333333333330.0325265298825256280.950146429324
Winsorized Mean ( 8 / 32 )9.143333333333330.0311531540272884293.496232366209
Winsorized Mean ( 9 / 32 )9.140520833333330.0302730156721696301.936250168045
Winsorized Mean ( 10 / 32 )9.130104166666670.0276742861489206329.912906065068
Winsorized Mean ( 11 / 32 )9.131250.0275056812313384331.976871367083
Winsorized Mean ( 12 / 32 )9.133750.0263700263457147346.368633851756
Winsorized Mean ( 13 / 32 )9.13781250.0258280426635266353.794231295122
Winsorized Mean ( 14 / 32 )9.126145833333330.0239120142450578381.655252451999
Winsorized Mean ( 15 / 32 )9.127708333333330.0232551065730765392.50339724957
Winsorized Mean ( 16 / 32 )9.1243750.0222780537218039409.567869524879
Winsorized Mean ( 17 / 32 )9.126145833333330.0220507636974734413.869830475713
Winsorized Mean ( 18 / 32 )9.126145833333330.0220507636974734413.869830475713
Winsorized Mean ( 19 / 32 )9.120208333333330.0211780148989106430.645099499031
Winsorized Mean ( 20 / 32 )9.113958333333330.0202963132761184449.045016666019
Winsorized Mean ( 21 / 32 )9.113958333333330.0197092234879276462.420974571417
Winsorized Mean ( 22 / 32 )9.113958333333330.0191000821888253477.168540073904
Winsorized Mean ( 23 / 32 )9.109166666666670.0172155240700319529.125144817609
Winsorized Mean ( 24 / 32 )9.111666666666670.01689860543054539.196367659997
Winsorized Mean ( 25 / 32 )9.12468750.0153411162968167594.786410809843
Winsorized Mean ( 26 / 32 )9.121979166666670.0136671104375426667.44021776609
Winsorized Mean ( 27 / 32 )9.124791666666670.0133639827280914682.789842842746
Winsorized Mean ( 28 / 32 )9.1218750.0129872681412193702.370575613881
Winsorized Mean ( 29 / 32 )9.1218750.0129872681412193702.370575613881
Winsorized Mean ( 30 / 32 )9.118750.0125893734777154724.321191689264
Winsorized Mean ( 31 / 32 )9.118750.0118379500507270770.298063509734
Winsorized Mean ( 32 / 32 )9.112083333333330.0110112747906235827.523016780275
Trimmed Mean ( 1 / 32 )9.14361702127660.0344684946494674265.27462583626
Trimmed Mean ( 2 / 32 )9.141086956521740.0334697046667031273.115255947138
Trimmed Mean ( 3 / 32 )9.138333333333330.0323469217363527282.510138300527
Trimmed Mean ( 4 / 32 )9.135227272727270.0310988149676317293.748404311721
Trimmed Mean ( 5 / 32 )9.132674418604650.0299869668080584304.554791321889
Trimmed Mean ( 6 / 32 )9.130357142857140.0288667415430657316.293306926788
Trimmed Mean ( 7 / 32 )9.128658536585370.0277830684366062328.569126819617
Trimmed Mean ( 8 / 32 )9.1270.0266228939263307342.82524000793
Trimmed Mean ( 9 / 32 )9.124487179487180.0255779986286926356.731866005014
Trimmed Mean ( 10 / 32 )9.122236842105260.0245454098929801371.647362251392
Trimmed Mean ( 11 / 32 )9.121216216216220.0238717670605977382.092209305760
Trimmed Mean ( 12 / 32 )9.120.0231092526639320394.647119603056
Trimmed Mean ( 13 / 32 )9.118428571428570.0224176761393792406.75173085452
Trimmed Mean ( 14 / 32 )9.116323529411770.0216878894400870420.341663701103
Trimmed Mean ( 15 / 32 )9.115303030303030.0211710975267721430.554108910800
Trimmed Mean ( 16 / 32 )9.11406250.0206608559779614441.127052515241
Trimmed Mean ( 17 / 32 )9.113064516129030.0202124997448970450.862814156857
Trimmed Mean ( 18 / 32 )9.111833333333330.0197018621200666462.485894876546
Trimmed Mean ( 19 / 32 )9.110517241379310.0190748238748252477.61999278029
Trimmed Mean ( 20 / 32 )9.109642857142860.0184671774218341493.288316295286
Trimmed Mean ( 21 / 32 )9.109259259259260.0178800488305016509.465010169311
Trimmed Mean ( 22 / 32 )9.108846153846150.0172565021434177527.850086775588
Trimmed Mean ( 23 / 32 )9.10840.0165895467456012549.044536277949
Trimmed Mean ( 24 / 32 )9.108333333333330.0161177332114993565.112551114504
Trimmed Mean ( 25 / 32 )9.108043478260870.0155716190651730584.913067815257
Trimmed Mean ( 26 / 32 )9.106590909090910.0151627644990452600.589088464991
Trimmed Mean ( 27 / 32 )9.10523809523810.0149573070145898608.748492382791
Trimmed Mean ( 28 / 32 )9.10350.0147132854669094618.726525796975
Trimmed Mean ( 29 / 32 )9.101842105263160.0144498704909753629.890912236738
Trimmed Mean ( 30 / 32 )9.10.0140633487398193647.07205718607
Trimmed Mean ( 31 / 32 )9.098235294117650.0136186316503414668.072646923345
Trimmed Mean ( 32 / 32 )9.096250.0131733938850857690.501633773994
Median9.075
Midrange9.26
Midmean - Weighted Average at Xnp9.1084
Midmean - Weighted Average at X(n+1)p9.11265306122449
Midmean - Empirical Distribution Function9.1084
Midmean - Empirical Distribution Function - Averaging9.11265306122449
Midmean - Empirical Distribution Function - Interpolation9.11265306122449
Midmean - Closest Observation9.1084
Midmean - True Basic - Statistics Graphics Toolkit9.11265306122449
Midmean - MS Excel (old versions)9.1084
Number of observations96
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Oct/20/t12560490559kbnhxrkrxj5g28/1x5tx1256049005.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/20/t12560490559kbnhxrkrxj5g28/1x5tx1256049005.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Oct/20/t12560490559kbnhxrkrxj5g28/2yw8d1256049005.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Oct/20/t12560490559kbnhxrkrxj5g28/2yw8d1256049005.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