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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationTue, 26 Oct 2010 11:19:21 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/26/t12880918828isvr1clwwekr37.htm/, Retrieved Sat, 27 Apr 2024 18:52:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=89034, Retrieved Sat, 27 Apr 2024 18:52:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Maximum-likelihood Fitting - Normal Distribution] [Intrinsic Motivat...] [2010-10-12 11:57:21] [b98453cac15ba1066b407e146608df68]
-   PD  [Maximum-likelihood Fitting - Normal Distribution] [WS3 - Intr2 fitdi...] [2010-10-17 20:45:33] [b11c112f8986de933f8b95cd30e75cc2]
F RMPD    [Testing Mean with unknown Variance - Critical Value] [WS4 - Question 2] [2010-10-24 13:36:22] [b11c112f8986de933f8b95cd30e75cc2]
- RMPD      [Central Tendency] [] [2010-10-24 15:21:20] [ed939ef6f97e5f2afb6796311d9e7a5f]
-             [Central Tendency] [W4] [2010-10-26 08:29:36] [5ddc7dfb25e070b079c4c8fcccc4d42e]
-                 [Central Tendency] [Treatment T] [2010-10-26 11:19:21] [5fd8c857995b7937a45335fd5ccccdde] [Current]
-    D              [Central Tendency] [Treatment E] [2010-10-26 11:27:12] [9b13650c94c5192ca5135ec8a1fa39f7]
-    D                [Central Tendency] [Treatment S] [2010-10-26 11:32:54] [9b13650c94c5192ca5135ec8a1fa39f7]
Feedback Forum

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Dataseries X:
1
1
1
0
1
1
1
1
1
1
0
1
1
1
0
1
1
1
1
0
1
1
0
0
1
0
1
0
0
1
0
1
0
0
0
1
1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89034&T=0

[TABLE]
[ROW][C]Summary of computational 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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=89034&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89034&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean0.6486486486486490.07956541321016088.1523946458411
Geometric Mean0
Harmonic Mean0
Quadratic Mean0.80538726625683
Winsorized Mean ( 1 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 2 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 3 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 4 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 5 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 6 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 7 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 8 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 9 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 10 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 11 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 12 / 12 )0.6486486486486490.07956541321016088.1523946458411
Trimmed Mean ( 1 / 12 )0.6571428571428570.08140424227436868.07258735887489
Trimmed Mean ( 2 / 12 )0.6666666666666670.08333333333333338
Trimmed Mean ( 3 / 12 )0.677419354838710.08534681648595457.93725393319377
Trimmed Mean ( 4 / 12 )0.6896551724137930.08742975048915697.88810637746615
Trimmed Mean ( 5 / 12 )0.7037037037037040.08955118886325767.85811682275086
Trimmed Mean ( 6 / 12 )0.720.09165151389911687.85584404849573
Trimmed Mean ( 7 / 12 )0.7391304347826090.09361833424764447.895146188218
Trimmed Mean ( 8 / 12 )0.7619047619047620.09523809523809528
Trimmed Mean ( 9 / 12 )0.7894736842105260.09609167675529238.2158383625775
Trimmed Mean ( 10 / 12 )0.8235294117647060.09530501027070388.64098759787715
Trimmed Mean ( 11 / 12 )0.8666666666666670.09085135251589969.53939201416946
Trimmed Mean ( 12 / 12 )0.9230769230769230.076923076923076912
Median1
Midrange0.5
Midmean - Weighted Average at Xnp0.648648648648649
Midmean - Weighted Average at X(n+1)p0.648648648648649
Midmean - Empirical Distribution Function0.648648648648649
Midmean - Empirical Distribution Function - Averaging0.648648648648649
Midmean - Empirical Distribution Function - Interpolation0.648648648648649
Midmean - Closest Observation0.648648648648649
Midmean - True Basic - Statistics Graphics Toolkit0.648648648648649
Midmean - MS Excel (old versions)0.648648648648649
Number of observations37

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 0.648648648648649 & 0.0795654132101608 & 8.1523946458411 \tabularnewline
Geometric Mean & 0 &  &  \tabularnewline
Harmonic Mean & 0 &  &  \tabularnewline
Quadratic Mean & 0.80538726625683 &  &  \tabularnewline
Winsorized Mean ( 1 / 12 ) & 0.648648648648649 & 0.0795654132101608 & 8.1523946458411 \tabularnewline
Winsorized Mean ( 2 / 12 ) & 0.648648648648649 & 0.0795654132101608 & 8.1523946458411 \tabularnewline
Winsorized Mean ( 3 / 12 ) & 0.648648648648649 & 0.0795654132101608 & 8.1523946458411 \tabularnewline
Winsorized Mean ( 4 / 12 ) & 0.648648648648649 & 0.0795654132101608 & 8.1523946458411 \tabularnewline
Winsorized Mean ( 5 / 12 ) & 0.648648648648649 & 0.0795654132101608 & 8.1523946458411 \tabularnewline
Winsorized Mean ( 6 / 12 ) & 0.648648648648649 & 0.0795654132101608 & 8.1523946458411 \tabularnewline
Winsorized Mean ( 7 / 12 ) & 0.648648648648649 & 0.0795654132101608 & 8.1523946458411 \tabularnewline
Winsorized Mean ( 8 / 12 ) & 0.648648648648649 & 0.0795654132101608 & 8.1523946458411 \tabularnewline
Winsorized Mean ( 9 / 12 ) & 0.648648648648649 & 0.0795654132101608 & 8.1523946458411 \tabularnewline
Winsorized Mean ( 10 / 12 ) & 0.648648648648649 & 0.0795654132101608 & 8.1523946458411 \tabularnewline
Winsorized Mean ( 11 / 12 ) & 0.648648648648649 & 0.0795654132101608 & 8.1523946458411 \tabularnewline
Winsorized Mean ( 12 / 12 ) & 0.648648648648649 & 0.0795654132101608 & 8.1523946458411 \tabularnewline
Trimmed Mean ( 1 / 12 ) & 0.657142857142857 & 0.0814042422743686 & 8.07258735887489 \tabularnewline
Trimmed Mean ( 2 / 12 ) & 0.666666666666667 & 0.0833333333333333 & 8 \tabularnewline
Trimmed Mean ( 3 / 12 ) & 0.67741935483871 & 0.0853468164859545 & 7.93725393319377 \tabularnewline
Trimmed Mean ( 4 / 12 ) & 0.689655172413793 & 0.0874297504891569 & 7.88810637746615 \tabularnewline
Trimmed Mean ( 5 / 12 ) & 0.703703703703704 & 0.0895511888632576 & 7.85811682275086 \tabularnewline
Trimmed Mean ( 6 / 12 ) & 0.72 & 0.0916515138991168 & 7.85584404849573 \tabularnewline
Trimmed Mean ( 7 / 12 ) & 0.739130434782609 & 0.0936183342476444 & 7.895146188218 \tabularnewline
Trimmed Mean ( 8 / 12 ) & 0.761904761904762 & 0.0952380952380952 & 8 \tabularnewline
Trimmed Mean ( 9 / 12 ) & 0.789473684210526 & 0.0960916767552923 & 8.2158383625775 \tabularnewline
Trimmed Mean ( 10 / 12 ) & 0.823529411764706 & 0.0953050102707038 & 8.64098759787715 \tabularnewline
Trimmed Mean ( 11 / 12 ) & 0.866666666666667 & 0.0908513525158996 & 9.53939201416946 \tabularnewline
Trimmed Mean ( 12 / 12 ) & 0.923076923076923 & 0.0769230769230769 & 12 \tabularnewline
Median & 1 &  &  \tabularnewline
Midrange & 0.5 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 0.648648648648649 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 0.648648648648649 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 0.648648648648649 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 0.648648648648649 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 0.648648648648649 &  &  \tabularnewline
Midmean - Closest Observation & 0.648648648648649 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 0.648648648648649 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 0.648648648648649 &  &  \tabularnewline
Number of observations & 37 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89034&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]0.648648648648649[/C][C]0.0795654132101608[/C][C]8.1523946458411[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]0[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]0[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]0.80538726625683[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 12 )[/C][C]0.648648648648649[/C][C]0.0795654132101608[/C][C]8.1523946458411[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 12 )[/C][C]0.648648648648649[/C][C]0.0795654132101608[/C][C]8.1523946458411[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 12 )[/C][C]0.648648648648649[/C][C]0.0795654132101608[/C][C]8.1523946458411[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 12 )[/C][C]0.648648648648649[/C][C]0.0795654132101608[/C][C]8.1523946458411[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 12 )[/C][C]0.648648648648649[/C][C]0.0795654132101608[/C][C]8.1523946458411[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 12 )[/C][C]0.648648648648649[/C][C]0.0795654132101608[/C][C]8.1523946458411[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 12 )[/C][C]0.648648648648649[/C][C]0.0795654132101608[/C][C]8.1523946458411[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 12 )[/C][C]0.648648648648649[/C][C]0.0795654132101608[/C][C]8.1523946458411[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 12 )[/C][C]0.648648648648649[/C][C]0.0795654132101608[/C][C]8.1523946458411[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 12 )[/C][C]0.648648648648649[/C][C]0.0795654132101608[/C][C]8.1523946458411[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 12 )[/C][C]0.648648648648649[/C][C]0.0795654132101608[/C][C]8.1523946458411[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 12 )[/C][C]0.648648648648649[/C][C]0.0795654132101608[/C][C]8.1523946458411[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 12 )[/C][C]0.657142857142857[/C][C]0.0814042422743686[/C][C]8.07258735887489[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 12 )[/C][C]0.666666666666667[/C][C]0.0833333333333333[/C][C]8[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 12 )[/C][C]0.67741935483871[/C][C]0.0853468164859545[/C][C]7.93725393319377[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 12 )[/C][C]0.689655172413793[/C][C]0.0874297504891569[/C][C]7.88810637746615[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 12 )[/C][C]0.703703703703704[/C][C]0.0895511888632576[/C][C]7.85811682275086[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 12 )[/C][C]0.72[/C][C]0.0916515138991168[/C][C]7.85584404849573[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 12 )[/C][C]0.739130434782609[/C][C]0.0936183342476444[/C][C]7.895146188218[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 12 )[/C][C]0.761904761904762[/C][C]0.0952380952380952[/C][C]8[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 12 )[/C][C]0.789473684210526[/C][C]0.0960916767552923[/C][C]8.2158383625775[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 12 )[/C][C]0.823529411764706[/C][C]0.0953050102707038[/C][C]8.64098759787715[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 12 )[/C][C]0.866666666666667[/C][C]0.0908513525158996[/C][C]9.53939201416946[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 12 )[/C][C]0.923076923076923[/C][C]0.0769230769230769[/C][C]12[/C][/ROW]
[ROW][C]Median[/C][C]1[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]0.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]0.648648648648649[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]0.648648648648649[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]0.648648648648649[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]0.648648648648649[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]0.648648648648649[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]0.648648648648649[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]0.648648648648649[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]0.648648648648649[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]37[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=89034&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89034&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 Mean0.6486486486486490.07956541321016088.1523946458411
Geometric Mean0
Harmonic Mean0
Quadratic Mean0.80538726625683
Winsorized Mean ( 1 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 2 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 3 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 4 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 5 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 6 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 7 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 8 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 9 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 10 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 11 / 12 )0.6486486486486490.07956541321016088.1523946458411
Winsorized Mean ( 12 / 12 )0.6486486486486490.07956541321016088.1523946458411
Trimmed Mean ( 1 / 12 )0.6571428571428570.08140424227436868.07258735887489
Trimmed Mean ( 2 / 12 )0.6666666666666670.08333333333333338
Trimmed Mean ( 3 / 12 )0.677419354838710.08534681648595457.93725393319377
Trimmed Mean ( 4 / 12 )0.6896551724137930.08742975048915697.88810637746615
Trimmed Mean ( 5 / 12 )0.7037037037037040.08955118886325767.85811682275086
Trimmed Mean ( 6 / 12 )0.720.09165151389911687.85584404849573
Trimmed Mean ( 7 / 12 )0.7391304347826090.09361833424764447.895146188218
Trimmed Mean ( 8 / 12 )0.7619047619047620.09523809523809528
Trimmed Mean ( 9 / 12 )0.7894736842105260.09609167675529238.2158383625775
Trimmed Mean ( 10 / 12 )0.8235294117647060.09530501027070388.64098759787715
Trimmed Mean ( 11 / 12 )0.8666666666666670.09085135251589969.53939201416946
Trimmed Mean ( 12 / 12 )0.9230769230769230.076923076923076912
Median1
Midrange0.5
Midmean - Weighted Average at Xnp0.648648648648649
Midmean - Weighted Average at X(n+1)p0.648648648648649
Midmean - Empirical Distribution Function0.648648648648649
Midmean - Empirical Distribution Function - Averaging0.648648648648649
Midmean - Empirical Distribution Function - Interpolation0.648648648648649
Midmean - Closest Observation0.648648648648649
Midmean - True Basic - Statistics Graphics Toolkit0.648648648648649
Midmean - MS Excel (old versions)0.648648648648649
Number of observations37



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')