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.

R is a collaborative project with many contributors.
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(426.113
+ ,383.703
+ ,232.444
+ ,70.939
+ ,226.731
+ ,947.293
+ ,611.281
+ ,158.047
+ ,33.999
+ ,37.028
+ ,388.3
+ ,506.652
+ ,392.25
+ ,180.818
+ ,198.296
+ ,217.465
+ ,275.562
+ ,1030.944
+ ,57.47
+ ,136.452
+ ,556.277
+ ,213.361
+ ,274.482
+ ,220.553
+ ,236.71
+ ,260.642
+ ,2763.544
+ ,213.923
+ ,169.861
+ ,403.064
+ ,449.594
+ ,406.167
+ ,206.893
+ ,156.187
+ ,257.102
+ ,62.156
+ ,662.883
+ ,251.422
+ ,171.328
+ ,350.089
+ ,221.588
+ ,4.813
+ ,183.186
+ ,190.379
+ ,223.166
+ ,232.669
+ ,356.725
+ ,109.215
+ ,475.834
+ ,315.955
+ ,694.87
+ ,8.95
+ ,278.741
+ ,308.16
+ ,207.533
+ ,192.797
+ ,601.162
+ ,289.714
+ ,293.671
+ ,386.688
+ ,699.645
+ ,85.094
+ ,131.812
+ ,645.285
+ ,197.549
+ ,308.174
+ ,86.58
+ ,242.205
+ ,238.502
+ ,187.881
+ ,140.321
+ ,440.31
+ ,421.403
+ ,218.761
+ ,1305.923
+ ,137.55
+ ,262.517
+ ,348.821
+ ,150.034
+ ,64.016
+ ,261.596
+ ,259.7
+ ,171.26
+ ,203.077
+ ,249.148
+ ,211.655
+ ,252.64
+ ,438.555
+ ,239.89
+ ,401.915
+ ,216.886
+ ,184.641
+ ,380.155
+ ,653.641
+ ,313.906
+ ,366.936
+ ,236.302
+ ,229.641
+ ,235.577
+ ,103.898
+ ,263.906
+ ,241.171
+ ,216.548
+ ,295.281
+ ,193.299
+ ,204.386
+ ,257.567
+ ,136.813
+ ,240.755
+ ,59.609
+ ,213.511
+ ,380.531
+ ,242.344
+ ,250.407
+ ,183.613
+ ,191.835
+ ,266.793
+ ,246.542
+ ,330.563
+ ,403.556
+ ,208.108
+ ,324.04
+ ,308.532
+ ,199.297
+ ,200.156
+ ,262.875
+ ,287.069
+ ,190.157
+ ,199.746
+ ,265.777
+ ,435.956
+ ,72.844
+ ,756.46
+ ,206.771
+ ,4202.361
+ ,401.422
+ ,216.046
+ ,39.047
+ ,441.437)
> 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/wessaorg/rcomp/tmp/1636t1356090967.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/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,'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/wessaorg/rcomp/tmp/29jup1356090967.tab") 
> 
> try(system("convert tmp/1636t1356090967.ps tmp/1636t1356090967.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.678   0.173   1.830