R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
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Type 'demo()' for some demos, 'help()' for on-line help, or
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Type 'q()' to quit R.

> x <- c(9.25191650214777
+ ,22.2914871231093
+ ,-37.1571787652725
+ ,34.2241616971526
+ ,-175.791407724228
+ ,104.976083789095
+ ,-61.2440566196127
+ ,-396.729670521475
+ ,-396.444398116046
+ ,-260.009316249011
+ ,127.969010842559
+ ,-36.0298439891068
+ ,204.138369307228
+ ,44.2385868225793
+ ,-159.706287587307
+ ,203.135138015573
+ ,121.756524240115
+ ,-16.201912213436
+ ,-243.900810018248
+ ,391.694842812422
+ ,-164.230167511809
+ ,293.821184036089
+ ,150.197655606598
+ ,-191.027489040204
+ ,251.842321753795
+ ,-153.374881206835
+ ,8.18402595915808
+ ,276.197036933044
+ ,7.49356404026701
+ ,290.310133584149
+ ,154.709015296672
+ ,-344.563215955918
+ ,-268.812624672229
+ ,308.788007355503
+ ,53.4487117440732
+ ,309.745158451771
+ ,86.3072721968555
+ ,-34.8646306315522
+ ,196.561770309702
+ ,226.513512287148
+ ,-188.002590167187
+ ,-58.5622808865756
+ ,209.148059688065
+ ,145.969099712344
+ ,129.401752382899
+ ,-33.029934043082
+ ,-386.049808215712
+ ,144.248501282334
+ ,117.138964771591
+ ,129.897118044206
+ ,-152.218688907773
+ ,-55.0236881924031
+ ,144.022136077333
+ ,-16.8566548273021
+ ,144.685804574834
+ ,-160.202973636103
+ ,329.620650922733
+ ,138.317376113334
+ ,9.00038368194928
+ ,50.5918463808212
+ ,313.87529752068
+ ,236.907637607133
+ ,110.05132904939
+ ,-383.848947466715)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = ''
> par6 = ''
> par5 = ''
> par4 = ''
> par3 = ''
> par2 = ''
> par1 = ''
> main = 'Robustness of Central Tendency'
> 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))
[1] 29.01231
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 25.00636
> (armose <- arm / armse)
[1] 1.160197
> (geo <- geomean(x))
[1] NaN
Warning message:
In log(x) : NaNs produced
> (har <- harmean(x))
[1] 149.815
> (qua <- quamean(x))
[1] 200.591
> (win <- winmean(x))
          [,1]      [,2]
 [1,] 28.04686 24.799828
 [2,] 27.87965 24.619495
 [3,] 27.78921 24.556512
 [4,] 30.18475 23.913206
 [5,] 34.93348 22.318827
 [6,] 35.42963 22.081583
 [7,] 35.64788 21.433085
 [8,] 39.21271 19.595858
 [9,] 37.53789 19.162089
[10,] 37.82181 18.544048
[11,] 36.82421 17.711555
[12,] 36.63999 17.431679
[13,] 36.53710 17.382556
[14,] 36.48417 16.917714
[15,] 26.94591 15.485617
[16,] 48.56173 11.461948
[17,] 48.15087 11.196966
[18,] 48.78517 10.997115
[19,] 53.95946 10.204980
[20,] 54.24102 10.145202
[21,] 52.75148  9.830341
> (tri <- trimean(x))
          [,1]     [,2]
 [1,] 30.02940 24.16465
 [2,] 32.14411 23.38888
 [3,] 34.49692 22.55558
 [4,] 37.05223 21.55332
 [5,] 39.08704 20.57104
 [6,] 40.10945 19.91081
 [7,] 41.10781 19.15179
 [8,] 42.14780 18.37949
 [9,] 42.65825 17.90656
[10,] 43.48579 17.39918
[11,] 44.34887 16.88856
[12,] 45.44336 16.41691
[13,] 46.67893 15.84308
[14,] 48.06584 15.05988
[15,] 49.62304 14.09972
[16,] 52.64666 13.12856
[17,] 53.19132 13.06413
[18,] 53.86903 12.98018
[19,] 54.56425 12.84564
[20,] 54.64914 12.82551
[21,] 54.70850 12.70633
> (midr <- midrange(x))
[1] -2.517414
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 46.43862 52.64666 46.43862 52.64666 52.64666 46.43862 52.64666 49.62304
> postscript(file="/var/fisher/rcomp/tmp/1xvam1355829969.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> 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))
Error: object 'ylimmin' not found
Execution halted