R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-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(24300
+ ,24375
+ ,24375
+ ,24550
+ ,24725
+ ,24825
+ ,25100
+ ,24950
+ ,25325
+ ,25325
+ ,24800
+ ,24975
+ ,25125
+ ,25125
+ ,25125
+ ,25400
+ ,25175
+ ,24650
+ ,24775
+ ,24675
+ ,24825
+ ,24775
+ ,24675
+ ,24750
+ ,24875
+ ,25400
+ ,25400
+ ,24750
+ ,24900
+ ,24825
+ ,24875
+ ,24975
+ ,25375
+ ,25600
+ ,26000
+ ,25900
+ ,25850
+ ,26075
+ ,26275
+ ,26050
+ ,26000
+ ,25825
+ ,26075
+ ,26150
+ ,26275
+ ,26475
+ ,26500
+ ,26575
+ ,26425
+ ,26275
+ ,26375
+ ,25900
+ ,25850
+ ,25625
+ ,25900
+ ,26050
+ ,26150
+ ,26275
+ ,26100
+ ,25975
+ ,25975
+ ,26125
+ ,26175
+ ,26225
+ ,26225
+ ,26200
+ ,26275
+ ,26275
+ ,26275
+ ,26750
+ ,27075
+ ,27475
+ ,27525
+ ,27125
+ ,27000
+ ,26950
+ ,27075
+ ,27150
+ ,26875
+ ,26925
+ ,27150
+ ,27150
+ ,27425
+ ,27625
+ ,27475
+ ,28075
+ ,28075
+ ,28175
+ ,28350
+ ,28350
+ ,28500
+ ,29350
+ ,30225
+ ,29575
+ ,30125
+ ,30125
+ ,31150
+ ,31350
+ ,32175
+ ,31725
+ ,31600
+ ,30800
+ ,30800
+ ,29700
+ ,30875
+ ,31275
+ ,31500
+ ,31375
+ ,31400
+ ,31650
+ ,31975
+ ,31650
+ ,31975
+ ,32575
+ ,32025
+ ,33050
+ ,32300
+ ,32100
+ ,32250
+ ,32050
+ ,31975
+ ,32100
+ ,32025
+ ,32275
+ ,32100
+ ,32275
+ ,31975
+ ,32175
+ ,32375
+ ,32300
+ ,32450
+ ,32425
+ ,30800
+ ,30850
+ ,30750
+ ,30175
+ ,30350
+ ,30125
+ ,30625
+ ,30375
+ ,30425
+ ,30325
+ ,29825
+ ,29450
+ ,29100
+ ,29450
+ ,29550
+ ,29575
+ ,29425
+ ,29050
+ ,28525
+ ,28575
+ ,28500
+ ,28875
+ ,28625
+ ,28625
+ ,28925
+ ,28925
+ ,28950
+ ,28950
+ ,29100
+ ,29700
+ ,30000
+ ,30400
+ ,30375
+ ,30425
+ ,30625
+ ,30700
+ ,30825
+ ,30800
+ ,31100
+ ,31175
+ ,31025
+ ,30975
+ ,31025
+ ,31350
+ ,31075
+ ,31125
+ ,30900
+ ,31150
+ ,31575
+ ,31575
+ ,31375
+ ,31100
+ ,30975
+ ,31200
+ ,31125
+ ,31075
+ ,31275
+ ,31175
+ ,30950
+ ,30725
+ ,30900
+ ,30700
+ ,30625
+ ,30700
+ ,30650
+ ,30525
+ ,30850
+ ,30725
+ ,31025
+ ,30975
+ ,30550
+ ,30900
+ ,31000
+ ,31000
+ ,31000
+ ,31000
+ ,31325
+ ,31000
+ ,31000
+ ,30300
+ ,30575
+ ,30575
+ ,30775
+ ,30550
+ ,30750
+ ,31025
+ ,31000
+ ,30850
+ ,30600
+ ,31150
+ ,31800
+ ,32500
+ ,32325
+ ,31800
+ ,31850
+ ,31625
+ ,31750
+ ,31650
+ ,31525
+ ,32075
+ ,32725
+ ,32900
+ ,32775
+ ,32825
+ ,33200
+ ,34100
+ ,33800
+ ,33525
+ ,33775
+ ,34000
+ ,33425
+ ,33550
+ ,33400
+ ,33300
+ ,33400
+ ,33000
+ ,33500
+ ,33550
+ ,33725
+ ,33700
+ ,33600
+ ,33550
+ ,33500
+ ,34200
+ ,34000
+ ,33600)
> 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/1y12z1324630904.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/2oz431324630904.tab") 
> 
> try(system("convert tmp/1y12z1324630904.ps tmp/1y12z1324630904.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.062   0.077   1.157