Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationMon, 21 Apr 2008 12:10:26 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Apr/21/t1208801660ea2505ygu7zhac7.htm/, Retrieved Thu, 31 Oct 2024 23:17:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=10565, Retrieved Thu, 31 Oct 2024 23:17:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact225
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [Gemiddelde prijs ...] [2008-04-21 18:10:26] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
0,43
0,45
0,44
0,44
0,44
0,48
0,47
0,47
0,47
0,49
0,49
0,46
0,45
0,44
0,42
0,43
0,43
0,47
0,47
0,47
0,47
0,48
0,48
0,48




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10565&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10565&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10565&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean0.4591666666666670.00429512137579955106.904235408526
Geometric Mean0.458700025271927
Harmonic Mean0.458229111915339
Quadratic Mean0.459628473153408
Winsorized Mean ( 1 / 8 )0.4595833333333330.00414760130899264110.807018103906
Winsorized Mean ( 2 / 8 )0.458750.00391543304655168117.164562526237
Winsorized Mean ( 3 / 8 )0.458750.00391543304655168117.164562526237
Winsorized Mean ( 4 / 8 )0.4604166666666670.00343042475644953134.215643646181
Winsorized Mean ( 5 / 8 )0.4604166666666670.00343042475644953134.215643646181
Winsorized Mean ( 6 / 8 )0.4579166666666670.00288544364425205158.698877234653
Winsorized Mean ( 7 / 8 )0.4579166666666670.00288544364425205158.698877234653
Winsorized Mean ( 8 / 8 )0.461250.00202453251000273227.830374528971
Trimmed Mean ( 1 / 8 )0.4595454545454550.00408127774360731112.598427113975
Trimmed Mean ( 2 / 8 )0.45950.00393867463682097116.663609556456
Trimmed Mean ( 3 / 8 )0.460.00387719998691866118.642319599711
Trimmed Mean ( 4 / 8 )0.4606250.00370458612173254124.339125846689
Trimmed Mean ( 5 / 8 )0.4607142857142860.00370094815803272124.485474003284
Trimmed Mean ( 6 / 8 )0.4608333333333330.00357989616688201128.728128373261
Trimmed Mean ( 7 / 8 )0.4620.003590109871423128.686869356697
Trimmed Mean ( 8 / 8 )0.463750.00323899234771732143.177244715267
Median0.47
Midrange0.455
Midmean - Weighted Average at Xnp0.457857142857143
Midmean - Weighted Average at X(n+1)p0.457857142857143
Midmean - Empirical Distribution Function0.457857142857143
Midmean - Empirical Distribution Function - Averaging0.457857142857143
Midmean - Empirical Distribution Function - Interpolation0.457857142857143
Midmean - Closest Observation0.457857142857143
Midmean - True Basic - Statistics Graphics Toolkit0.457857142857143
Midmean - MS Excel (old versions)0.462777777777778
Number of observations24

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 0.459166666666667 & 0.00429512137579955 & 106.904235408526 \tabularnewline
Geometric Mean & 0.458700025271927 &  &  \tabularnewline
Harmonic Mean & 0.458229111915339 &  &  \tabularnewline
Quadratic Mean & 0.459628473153408 &  &  \tabularnewline
Winsorized Mean ( 1 / 8 ) & 0.459583333333333 & 0.00414760130899264 & 110.807018103906 \tabularnewline
Winsorized Mean ( 2 / 8 ) & 0.45875 & 0.00391543304655168 & 117.164562526237 \tabularnewline
Winsorized Mean ( 3 / 8 ) & 0.45875 & 0.00391543304655168 & 117.164562526237 \tabularnewline
Winsorized Mean ( 4 / 8 ) & 0.460416666666667 & 0.00343042475644953 & 134.215643646181 \tabularnewline
Winsorized Mean ( 5 / 8 ) & 0.460416666666667 & 0.00343042475644953 & 134.215643646181 \tabularnewline
Winsorized Mean ( 6 / 8 ) & 0.457916666666667 & 0.00288544364425205 & 158.698877234653 \tabularnewline
Winsorized Mean ( 7 / 8 ) & 0.457916666666667 & 0.00288544364425205 & 158.698877234653 \tabularnewline
Winsorized Mean ( 8 / 8 ) & 0.46125 & 0.00202453251000273 & 227.830374528971 \tabularnewline
Trimmed Mean ( 1 / 8 ) & 0.459545454545455 & 0.00408127774360731 & 112.598427113975 \tabularnewline
Trimmed Mean ( 2 / 8 ) & 0.4595 & 0.00393867463682097 & 116.663609556456 \tabularnewline
Trimmed Mean ( 3 / 8 ) & 0.46 & 0.00387719998691866 & 118.642319599711 \tabularnewline
Trimmed Mean ( 4 / 8 ) & 0.460625 & 0.00370458612173254 & 124.339125846689 \tabularnewline
Trimmed Mean ( 5 / 8 ) & 0.460714285714286 & 0.00370094815803272 & 124.485474003284 \tabularnewline
Trimmed Mean ( 6 / 8 ) & 0.460833333333333 & 0.00357989616688201 & 128.728128373261 \tabularnewline
Trimmed Mean ( 7 / 8 ) & 0.462 & 0.003590109871423 & 128.686869356697 \tabularnewline
Trimmed Mean ( 8 / 8 ) & 0.46375 & 0.00323899234771732 & 143.177244715267 \tabularnewline
Median & 0.47 &  &  \tabularnewline
Midrange & 0.455 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 0.457857142857143 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 0.457857142857143 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 0.457857142857143 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 0.457857142857143 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 0.457857142857143 &  &  \tabularnewline
Midmean - Closest Observation & 0.457857142857143 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 0.457857142857143 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 0.462777777777778 &  &  \tabularnewline
Number of observations & 24 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10565&T=1

[TABLE]
[ROW][C]Central Tendency - Ungrouped Data[/C][/ROW]
[ROW][C]Measure[/C][C]Value[/C][C]S.E.[/C][C]Value/S.E.[/C][/ROW]
[ROW][C]Arithmetic Mean[/C][C]0.459166666666667[/C][C]0.00429512137579955[/C][C]106.904235408526[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]0.458700025271927[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]0.458229111915339[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]0.459628473153408[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 8 )[/C][C]0.459583333333333[/C][C]0.00414760130899264[/C][C]110.807018103906[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 8 )[/C][C]0.45875[/C][C]0.00391543304655168[/C][C]117.164562526237[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 8 )[/C][C]0.45875[/C][C]0.00391543304655168[/C][C]117.164562526237[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 8 )[/C][C]0.460416666666667[/C][C]0.00343042475644953[/C][C]134.215643646181[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 8 )[/C][C]0.460416666666667[/C][C]0.00343042475644953[/C][C]134.215643646181[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 8 )[/C][C]0.457916666666667[/C][C]0.00288544364425205[/C][C]158.698877234653[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 8 )[/C][C]0.457916666666667[/C][C]0.00288544364425205[/C][C]158.698877234653[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 8 )[/C][C]0.46125[/C][C]0.00202453251000273[/C][C]227.830374528971[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 8 )[/C][C]0.459545454545455[/C][C]0.00408127774360731[/C][C]112.598427113975[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 8 )[/C][C]0.4595[/C][C]0.00393867463682097[/C][C]116.663609556456[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 8 )[/C][C]0.46[/C][C]0.00387719998691866[/C][C]118.642319599711[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 8 )[/C][C]0.460625[/C][C]0.00370458612173254[/C][C]124.339125846689[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 8 )[/C][C]0.460714285714286[/C][C]0.00370094815803272[/C][C]124.485474003284[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 8 )[/C][C]0.460833333333333[/C][C]0.00357989616688201[/C][C]128.728128373261[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 8 )[/C][C]0.462[/C][C]0.003590109871423[/C][C]128.686869356697[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 8 )[/C][C]0.46375[/C][C]0.00323899234771732[/C][C]143.177244715267[/C][/ROW]
[ROW][C]Median[/C][C]0.47[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]0.455[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]0.457857142857143[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]0.457857142857143[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]0.457857142857143[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]0.457857142857143[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]0.457857142857143[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]0.457857142857143[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]0.457857142857143[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]0.462777777777778[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]24[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10565&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10565&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean0.4591666666666670.00429512137579955106.904235408526
Geometric Mean0.458700025271927
Harmonic Mean0.458229111915339
Quadratic Mean0.459628473153408
Winsorized Mean ( 1 / 8 )0.4595833333333330.00414760130899264110.807018103906
Winsorized Mean ( 2 / 8 )0.458750.00391543304655168117.164562526237
Winsorized Mean ( 3 / 8 )0.458750.00391543304655168117.164562526237
Winsorized Mean ( 4 / 8 )0.4604166666666670.00343042475644953134.215643646181
Winsorized Mean ( 5 / 8 )0.4604166666666670.00343042475644953134.215643646181
Winsorized Mean ( 6 / 8 )0.4579166666666670.00288544364425205158.698877234653
Winsorized Mean ( 7 / 8 )0.4579166666666670.00288544364425205158.698877234653
Winsorized Mean ( 8 / 8 )0.461250.00202453251000273227.830374528971
Trimmed Mean ( 1 / 8 )0.4595454545454550.00408127774360731112.598427113975
Trimmed Mean ( 2 / 8 )0.45950.00393867463682097116.663609556456
Trimmed Mean ( 3 / 8 )0.460.00387719998691866118.642319599711
Trimmed Mean ( 4 / 8 )0.4606250.00370458612173254124.339125846689
Trimmed Mean ( 5 / 8 )0.4607142857142860.00370094815803272124.485474003284
Trimmed Mean ( 6 / 8 )0.4608333333333330.00357989616688201128.728128373261
Trimmed Mean ( 7 / 8 )0.4620.003590109871423128.686869356697
Trimmed Mean ( 8 / 8 )0.463750.00323899234771732143.177244715267
Median0.47
Midrange0.455
Midmean - Weighted Average at Xnp0.457857142857143
Midmean - Weighted Average at X(n+1)p0.457857142857143
Midmean - Empirical Distribution Function0.457857142857143
Midmean - Empirical Distribution Function - Averaging0.457857142857143
Midmean - Empirical Distribution Function - Interpolation0.457857142857143
Midmean - Closest Observation0.457857142857143
Midmean - True Basic - Statistics Graphics Toolkit0.457857142857143
Midmean - MS Excel (old versions)0.462777777777778
Number of observations24



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('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('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('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('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('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('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('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('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('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('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('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('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('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('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('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('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('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('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('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('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('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('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('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('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('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')