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)

R is free software and comes with ABSOLUTELY NO WARRANTY.
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
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(210907
+ ,120982
+ ,176508
+ ,179321
+ ,123185
+ ,52746
+ ,385534
+ ,33170
+ ,101645
+ ,149061
+ ,165446
+ ,237213
+ ,173326
+ ,133131
+ ,258873
+ ,180083
+ ,324799
+ ,230964
+ ,236785
+ ,135473
+ ,202925
+ ,215147
+ ,344297
+ ,153935
+ ,132943
+ ,174724
+ ,174415
+ ,225548
+ ,223632
+ ,124817
+ ,221698
+ ,210767
+ ,170266
+ ,260561
+ ,84853
+ ,294424
+ ,101011
+ ,215641
+ ,325107
+ ,7176
+ ,167542
+ ,106408
+ ,96560
+ ,265769
+ ,269651
+ ,149112
+ ,175824
+ ,152871
+ ,111665
+ ,116408
+ ,362301
+ ,78800
+ ,183167
+ ,277965
+ ,150629
+ ,168809
+ ,24188
+ ,329267
+ ,65029
+ ,101097
+ ,218946
+ ,244052
+ ,341570
+ ,103597
+ ,233328
+ ,256462
+ ,206161
+ ,311473
+ ,235800
+ ,177939
+ ,207176
+ ,196553
+ ,174184
+ ,143246
+ ,187559
+ ,187681
+ ,119016
+ ,182192
+ ,73566
+ ,194979
+ ,167488
+ ,143756
+ ,275541
+ ,243199
+ ,182999
+ ,135649
+ ,152299
+ ,120221
+ ,346485
+ ,145790
+ ,193339
+ ,80953
+ ,122774
+ ,130585
+ ,112611
+ ,286468
+ ,241066
+ ,148446
+ ,204713
+ ,182079
+ ,140344
+ ,220516
+ ,243060
+ ,162765
+ ,182613
+ ,232138
+ ,265318
+ ,85574
+ ,310839
+ ,225060
+ ,232317
+ ,144966
+ ,43287
+ ,155754
+ ,164709
+ ,201940
+ ,235454
+ ,220801
+ ,99466
+ ,92661
+ ,133328
+ ,61361
+ ,125930
+ ,100750
+ ,224549
+ ,82316
+ ,102010
+ ,101523
+ ,243511
+ ,22938
+ ,41566
+ ,152474
+ ,61857
+ ,99923
+ ,132487
+ ,317394
+ ,21054
+ ,209641
+ ,22648
+ ,31414
+ ,46698
+ ,131698
+ ,91735
+ ,244749
+ ,184510
+ ,79863
+ ,128423
+ ,97839
+ ,38214
+ ,151101
+ ,272458
+ ,172494
+ ,108043
+ ,328107
+ ,250579
+ ,351067
+ ,158015
+ ,98866
+ ,85439
+ ,229242
+ ,351619
+ ,84207
+ ,120445
+ ,324598
+ ,131069
+ ,204271
+ ,165543
+ ,141722
+ ,116048
+ ,250047
+ ,299775
+ ,195838
+ ,173260
+ ,254488
+ ,104389
+ ,136084
+ ,199476
+ ,92499
+ ,224330
+ ,135781
+ ,74408
+ ,81240
+ ,14688
+ ,181633
+ ,271856
+ ,7199
+ ,46660
+ ,17547
+ ,133368
+ ,95227
+ ,152601
+ ,98146
+ ,79619
+ ,59194
+ ,139942
+ ,118612
+ ,72880
+ ,65475
+ ,99643
+ ,71965
+ ,77272
+ ,49289
+ ,135131
+ ,108446
+ ,89746
+ ,44296
+ ,77648
+ ,181528
+ ,134019
+ ,124064
+ ,92630
+ ,121848
+ ,52915
+ ,81872
+ ,58981
+ ,53515
+ ,60812
+ ,56375
+ ,65490
+ ,80949
+ ,76302
+ ,104011
+ ,98104
+ ,67989
+ ,30989
+ ,135458
+ ,73504
+ ,63123
+ ,61254
+ ,74914
+ ,31774
+ ,81437
+ ,87186
+ ,50090
+ ,65745
+ ,56653
+ ,158399
+ ,46455
+ ,73624
+ ,38395
+ ,91899
+ ,139526
+ ,52164
+ ,51567
+ ,70551
+ ,84856
+ ,102538
+ ,86678
+ ,85709
+ ,34662
+ ,150580
+ ,99611
+ ,19349
+ ,99373
+ ,86230
+ ,30837
+ ,31706
+ ,89806
+ ,62088
+ ,40151
+ ,27634
+ ,76990
+ ,37460
+ ,54157
+ ,49862
+ ,84337
+ ,64175
+ ,59382
+ ,119308
+ ,76702
+ ,103425
+ ,70344
+ ,43410
+ ,104838
+ ,62215
+ ,69304
+ ,53117
+ ,19764
+ ,86680
+ ,84105
+ ,77945
+ ,89113
+ ,91005
+ ,40248
+ ,64187
+ ,50857
+ ,56613
+ ,62792
+ ,72535)
> x <-sort(x[!is.na(x)])
> 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]
+ }
+ }
+ }
+ }
> lx <- length(x)
> qval <- array(NA,dim=c(99,8))
> mystep <- 25
> mystart <- 25
> if (lx>10){
+ mystep=10
+ mystart=10
+ }
> if (lx>20){
+ mystep=5
+ mystart=5
+ }
> if (lx>50){
+ mystep=2
+ mystart=2
+ }
> if (lx>=100){
+ mystep=1
+ mystart=1
+ }
> for (perc in seq(mystart,99,mystep)) {
+ qval[perc,1] <- q1(x,lx,perc/100,i,f)
+ qval[perc,2] <- q2(x,lx,perc/100,i,f)
+ qval[perc,3] <- q3(x,lx,perc/100,i,f)
+ qval[perc,4] <- q4(x,lx,perc/100,i,f)
+ qval[perc,5] <- q5(x,lx,perc/100,i,f)
+ qval[perc,6] <- q6(x,lx,perc/100,i,f)
+ qval[perc,7] <- q7(x,lx,perc/100,i,f)
+ qval[perc,8] <- q8(x,lx,perc/100,i,f)
+ }
> postscript(file="/var/fisher/rcomp/tmp/17pmc1355760404.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myqqnorm <- qqnorm(x,col=2)
> qqline(x)
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Percentiles - Ungrouped Data',9,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'p',1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/method_1.htm', 'Weighted Average at Xnp',''),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/method_2.htm','Weighted Average at X(n+1)p',''),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/method_3.htm','Empirical Distribution Function',''),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/method_4.htm','Empirical Distribution Function - Averaging',''),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/method_5.htm','Empirical Distribution Function - Interpolation',''),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/method_6.htm','Closest Observation',''),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/method_7.htm','True Basic - Statistics Graphics Toolkit',''),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/method_8.htm','MS Excel (old versions)',''),1,TRUE)
> a<-table.row.end(a)
> for (perc in seq(mystart,99,mystep)) {
+ a<-table.row.start(a)
+ a<-table.element(a,round(perc/100,2),1,TRUE)
+ for (j in 1:8) {
+ a<-table.element(a,round(qval[perc,j],6))
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/25tyg1355760404.tab") 
> 
> try(system("convert tmp/17pmc1355760404.ps tmp/17pmc1355760404.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.682   0.293   1.954