R version 3.3.2 (2016-10-31) -- "Sincere Pumpkin Patch"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(84.11
+ ,85.86
+ ,86.27
+ ,87.26
+ ,88.89
+ ,89.68
+ ,90.12
+ ,90.18
+ ,90.32
+ ,91.15
+ ,91.2
+ ,92.69
+ ,95.46
+ ,97.02
+ ,97.24
+ ,97.28
+ ,97.57
+ ,97.64
+ ,98.07
+ ,98.44
+ ,98.46
+ ,98.67
+ ,98.86
+ ,99.09
+ ,99.21
+ ,99.26
+ ,99.5
+ ,99.51
+ ,99.56
+ ,99.57
+ ,99.63
+ ,99.79
+ ,99.81
+ ,99.88
+ ,99.97
+ ,99.98
+ ,100.08
+ ,100.14
+ ,100.24
+ ,100.34
+ ,100.39
+ ,100.4
+ ,100.42
+ ,100.42
+ ,100.45
+ ,100.46
+ ,100.47
+ ,100.48
+ ,100.51
+ ,100.52
+ ,100.55
+ ,100.59
+ ,100.67
+ ,100.72
+ ,100.96
+ ,101.05
+ ,101.29
+ ,101.37
+ ,101.42
+ ,101.46
+ ,101.53
+ ,101.59
+ ,101.64
+ ,101.65
+ ,101.66
+ ,101.72
+ ,101.77
+ ,101.99
+ ,102.07
+ ,102.17
+ ,102.34
+ ,102.34
+ ,102.37
+ ,102.4
+ ,102.4
+ ,102.4
+ ,102.42
+ ,102.42
+ ,102.44
+ ,102.44
+ ,102.45
+ ,102.47
+ ,102.48
+ ,102.51
+ ,102.53
+ ,102.57
+ ,102.59
+ ,102.61
+ ,102.67
+ ,102.69
+ ,102.73
+ ,102.75
+ ,102.78
+ ,102.83
+ ,102.84
+ ,102.87
+ ,102.89
+ ,102.91
+ ,102.92
+ ,102.93
+ ,102.93
+ ,102.94
+ ,102.96
+ ,102.97
+ ,102.99
+ ,103.02
+ ,103.04
+ ,103.04
+ ,103.05
+ ,103.06
+ ,103.08
+ ,103.09
+ ,103.1
+ ,103.11
+ ,103.13
+ ,103.14
+ ,103.16
+ ,103.17
+ ,103.18
+ ,103.19
+ ,103.2
+ ,103.2
+ ,103.22
+ ,103.22
+ ,103.23
+ ,103.25
+ ,103.26
+ ,103.26
+ ,103.29
+ ,103.31
+ ,103.32
+ ,103.34
+ ,103.37
+ ,103.38
+ ,103.41
+ ,103.41
+ ,103.42
+ ,103.45
+ ,103.47
+ ,103.47
+ ,103.47
+ ,103.53
+ ,103.54
+ ,103.55
+ ,103.61
+ ,103.64
+ ,103.68
+ ,103.69
+ ,103.71
+ ,103.71
+ ,103.74
+ ,103.77
+ ,103.81
+ ,103.81
+ ,103.83
+ ,103.86
+ ,103.89
+ ,103.9
+ ,103.92
+ ,103.93
+ ,103.93
+ ,103.94
+ ,103.97
+ ,103.97
+ ,103.97
+ ,103.98
+ ,103.98
+ ,103.99
+ ,104
+ ,104.03
+ ,104.05
+ ,104.05
+ ,104.06
+ ,104.09
+ ,104.1
+ ,104.13
+ ,104.15
+ ,104.16
+ ,104.2
+ ,104.21
+ ,104.24
+ ,104.25
+ ,104.28
+ ,104.28
+ ,104.28
+ ,104.31
+ ,104.31
+ ,104.32
+ ,104.35
+ ,104.39
+ ,104.46
+ ,104.46
+ ,104.59
+ ,104.61
+ ,104.64
+ ,104.64
+ ,104.65
+ ,104.67
+ ,104.7
+ ,104.73
+ ,104.74
+ ,104.75
+ ,104.76
+ ,104.8
+ ,104.8
+ ,104.8
+ ,104.9
+ ,104.95
+ ,104.95
+ ,104.95
+ ,104.97
+ ,104.97
+ ,105
+ ,105
+ ,105
+ ,105.02
+ ,105.03
+ ,105.03
+ ,105.03
+ ,105.07
+ ,105.07
+ ,105.09
+ ,105.1
+ ,105.16
+ ,105.17
+ ,105.18
+ ,105.2
+ ,105.21
+ ,105.25
+ ,105.27
+ ,105.28
+ ,105.29
+ ,105.3
+ ,105.3
+ ,105.36
+ ,105.37
+ ,105.37
+ ,105.4
+ ,105.41
+ ,105.41
+ ,105.43
+ ,105.45
+ ,105.51
+ ,105.66
+ ,105.67
+ ,105.71
+ ,105.78
+ ,106.01
+ ,106.03
+ ,106.07
+ ,106.89
+ ,106.94
+ ,107
+ ,107.17
+ ,107.23
+ ,107.68
+ ,107.69
+ ,107.7
+ ,107.72
+ ,107.8
+ ,107.82
+ ,107.85
+ ,108.03
+ ,108.04
+ ,108.09
+ ,108.11
+ ,108.15
+ ,108.24
+ ,108.91
+ ,108.94
+ ,108.96
+ ,109.4
+ ,109.68
+ ,113.65
+ ,114.31
+ ,114.32
+ ,114.72
+ ,115.07
+ ,116.45
+ ,116.47
+ ,116.47
+ ,116.48
+ ,116.76
+ ,116.84
+ ,116.92
+ ,117.34
+ ,132.09
+ ,132.09
+ ,132.09
+ ,132.09
+ ,132.09
+ ,132.09
+ ,132.09
+ ,132.09
+ ,132.09
+ ,132.09
+ ,132.09
+ ,132.09
+ ,132.09)
> ylimmax = ''
> ylimmin = ''
> main = 'Robustness of Central Tendency'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa, P., (2012), Central Tendency (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_centraltendency.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> 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] 104.6454
> sqrtn <- sqrt(length(x))
> (armse <- sd(x) / sqrtn)
[1] 0.4280852
> (armose <- arm / armse)
[1] 244.4498
> (geo <- geomean(x))
[1] 104.4029
> (har <- harmean(x))
[1] 104.1755
> (qua <- quamean(x))
[1] 104.906
> (win <- winmean(x))
           [,1]       [,2]
  [1,] 104.6512 0.42718206
  [2,] 104.6539 0.42678143
  [3,] 104.6639 0.42538158
  [4,] 104.6857 0.42251642
  [5,] 104.6989 0.42089676
  [6,] 104.7077 0.41985339
  [7,] 104.7091 0.41968991
  [8,] 104.7129 0.41925657
  [9,] 104.7379 0.41644959
 [10,] 104.7395 0.41626679
 [11,] 104.7943 0.41056173
 [12,] 104.9055 0.40065152
 [13,] 104.3320 0.26497601
 [14,] 104.3227 0.26081596
 [15,] 104.3207 0.25998384
 [16,] 104.3319 0.25790394
 [17,] 104.3200 0.25499289
 [18,] 104.3453 0.25267951
 [19,] 104.3688 0.25076694
 [20,] 104.3688 0.25044432
 [21,] 104.2866 0.23391303
 [22,] 104.2748 0.22883021
 [23,] 104.2617 0.22275033
 [24,] 104.2706 0.22188475
 [25,] 104.2196 0.21327639
 [26,] 103.8952 0.16494136
 [27,] 103.8708 0.16192335
 [28,] 103.8343 0.15687658
 [29,] 103.8333 0.15657544
 [30,] 103.8364 0.15569823
 [31,] 103.7835 0.14684674
 [32,] 103.7760 0.14567556
 [33,] 103.7793 0.14452855
 [34,] 103.7873 0.14337924
 [35,] 103.7826 0.14268690
 [36,] 103.7934 0.14149757
 [37,] 103.7786 0.13862683
 [38,] 103.7875 0.13713951
 [39,] 103.7979 0.13575818
 [40,] 103.7939 0.13413251
 [41,] 103.7925 0.13374664
 [42,] 103.7939 0.13337013
 [43,] 103.7925 0.13322923
 [44,] 103.7307 0.12653054
 [45,] 103.7231 0.12556450
 [46,] 103.6985 0.12304741
 [47,] 103.6907 0.12206298
 [48,] 103.6875 0.12092290
 [49,] 103.5547 0.10958908
 [50,] 103.5530 0.10860970
 [51,] 103.5565 0.10771700
 [52,] 103.5304 0.10343892
 [53,] 103.5268 0.10171769
 [54,] 103.5629 0.09724006
 [55,] 103.5777 0.09562814
 [56,] 103.5945 0.08966032
 [57,] 103.5983 0.08753514
 [58,] 103.6041 0.08643443
 [59,] 103.6081 0.08548755
 [60,] 103.6221 0.08431043
 [61,] 103.6323 0.08315093
 [62,] 103.6365 0.08185642
 [63,] 103.6386 0.08168413
 [64,] 103.6386 0.08135724
 [65,] 103.6386 0.07937477
 [66,] 103.6496 0.07848365
 [67,] 103.6967 0.07444470
 [68,] 103.7126 0.07289310
 [69,] 103.7334 0.07100069
 [70,] 103.7685 0.06777977
 [71,] 103.7590 0.06708672
 [72,] 103.7638 0.06640112
 [73,] 103.7663 0.06553299
 [74,] 103.7638 0.06535405
 [75,] 103.7613 0.06517317
 [76,] 103.7511 0.06372595
 [77,] 103.7485 0.06354327
 [78,] 103.7485 0.06280887
 [79,] 103.7485 0.06280887
 [80,] 103.7405 0.06186961
 [81,] 103.7459 0.06149137
 [82,] 103.7487 0.06130066
 [83,] 103.7542 0.06052950
 [84,] 103.7542 0.05974883
 [85,] 103.7656 0.05897107
 [86,] 103.7713 0.05858075
 [87,] 103.7684 0.05757452
 [88,] 103.7861 0.05639186
 [89,] 103.7861 0.05557829
 [90,] 103.7981 0.05478600
 [91,] 103.8042 0.05438892
 [92,] 103.7981 0.05270600
 [93,] 103.7825 0.04953654
 [94,] 103.7857 0.04933400
 [95,] 103.7952 0.04872375
 [96,] 103.7888 0.04742931
 [97,] 103.7920 0.04679492
 [98,] 103.7920 0.04636280
 [99,] 103.7920 0.04592699
> (tri <- trimean(x))
           [,1]       [,2]
  [1,] 104.6221 0.41517596
  [2,] 104.5926 0.40244163
  [3,] 104.5613 0.38912310
  [4,] 104.5261 0.37546969
  [5,] 104.4848 0.36175578
  [6,] 104.4402 0.34747596
  [7,] 104.4402 0.33234982
  [8,] 104.3458 0.31602916
  [9,] 104.2970 0.29834840
 [10,] 104.2445 0.27945895
 [11,] 104.1911 0.25855988
 [12,] 104.1315 0.23607776
 [13,] 104.0608 0.21212259
 [14,] 104.0608 0.20633566
 [15,] 104.0152 0.20066437
 [16,] 103.9924 0.19472112
 [17,] 103.9684 0.18860026
 [18,] 103.9449 0.18237060
 [19,] 103.9194 0.17592270
 [20,] 103.8921 0.16917471
 [21,] 103.8644 0.16192493
 [22,] 103.8408 0.15580756
 [23,] 103.8175 0.14971446
 [24,] 103.7945 0.14372779
 [25,] 103.7707 0.13732534
 [26,] 103.7489 0.13123435
 [27,] 103.7421 0.12889812
 [28,] 103.7421 0.12665242
 [29,] 103.7319 0.12464084
 [30,] 103.7275 0.12253789
 [31,] 103.7229 0.12037488
 [32,] 103.7204 0.11868433
 [33,] 103.7182 0.11697638
 [34,] 103.7158 0.11524594
 [35,] 103.7131 0.11348974
 [36,] 103.7104 0.11167708
 [37,] 103.7074 0.10983266
 [38,] 103.7048 0.10806161
 [39,] 103.7019 0.10627721
 [40,] 103.6985 0.10447007
 [41,] 103.6952 0.10265454
 [42,] 103.6919 0.10075092
 [43,] 103.6919 0.09875020
 [44,] 103.6851 0.09662853
 [45,] 103.6836 0.09480102
 [46,] 103.6823 0.09291617
 [47,] 103.6818 0.09106680
 [48,] 103.6815 0.08915661
 [49,] 103.6813 0.08718935
 [50,] 103.6852 0.08577539
 [51,] 103.6892 0.08432617
 [52,] 103.6932 0.08283438
 [53,] 103.6981 0.08148966
 [54,] 103.7031 0.08015401
 [55,] 103.7072 0.07899989
 [56,] 103.7072 0.07786424
 [57,] 103.7144 0.07699138
 [58,] 103.7177 0.07617599
 [59,] 103.7209 0.07536572
 [60,] 103.7241 0.07455169
 [61,] 103.7270 0.07374827
 [62,] 103.7297 0.07295381
 [63,] 103.7323 0.07217462
 [64,] 103.7349 0.07134876
 [65,] 103.7375 0.07048062
 [66,] 103.7402 0.06966087
 [67,] 103.7427 0.06883281
 [68,] 103.7440 0.06817836
 [69,] 103.7448 0.06756094
 [70,] 103.7452 0.06700063
 [71,] 103.7445 0.06656933
 [72,] 103.7441 0.06613875
 [73,] 103.7436 0.06570760
 [74,] 103.7430 0.06528557
 [75,] 103.7424 0.06483558
 [76,] 103.7419 0.06435535
 [77,] 103.7417 0.06391423
 [78,] 103.7415 0.06344248
 [79,] 103.7413 0.06296932
 [80,] 103.7411 0.06245129
 [81,] 103.7411 0.06194082
 [82,] 103.7410 0.06140414
 [83,] 103.7408 0.06082712
 [84,] 103.7404 0.06024265
 [85,] 103.7400 0.05965075
 [86,] 103.7400 0.05904959
 [87,] 103.7393 0.05841248
 [88,] 103.7376 0.05777891
 [89,] 103.7362 0.05715792
 [90,] 103.7348 0.05652747
 [91,] 103.7330 0.05588189
 [92,] 103.7310 0.05519164
 [93,] 103.7290 0.05455196
 [94,] 103.7275 0.05407830
 [95,] 103.7258 0.05355955
 [96,] 103.7237 0.05301915
 [97,] 103.7218 0.05251317
 [98,] 103.7197 0.05198944
 [99,] 103.7175 0.05143070
> (midr <- midrange(x))
[1] 108.1
> midm <- array(NA,dim=8)
> for (j in 1:8) midm[j] <- midmean(x,j)
> midm
[1] 103.7246 103.7341 103.7341 103.7341 103.7246 103.7246 103.7341 103.7341
> postscript(file="/var/wessaorg/rcomp/tmp/1t5vh1489528504.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))
> lines(ub,lty=3)
> lines(lb,lty=3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/2ktgb1489528504.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> 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()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/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="/var/wessaorg/rcomp/tmp/378of1489528504.tab") 
> 
> try(system("convert tmp/1t5vh1489528504.ps tmp/1t5vh1489528504.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ktgb1489528504.ps tmp/2ktgb1489528504.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.192   0.068   3.405