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Type 'q()' to quit R. > x <- c(170588 + ,86621 + ,118522 + ,152510 + ,86206 + ,37257 + ,306055 + ,32750 + ,116502 + ,130539 + ,164604 + ,128274 + ,104367 + ,193024 + ,141574 + ,254150 + ,181110 + ,198432 + ,113853 + ,159940 + ,166822 + ,286675 + ,95297 + ,108278 + ,146342 + ,145142 + ,161756 + ,162716 + ,106888 + ,188150 + ,189401 + ,129484 + ,204030 + ,68538 + ,243625 + ,167255 + ,264528 + ,122024 + ,80964 + ,209795 + ,224205 + ,115971 + ,138191 + ,81106 + ,93125 + ,307743 + ,78800 + ,158835 + ,223590 + ,131108 + ,128734 + ,24188 + ,257677 + ,65029 + ,98066 + ,173587 + ,180042 + ,197266 + ,212060 + ,141582 + ,245107 + ,206879 + ,145696 + ,173535 + ,142064 + ,117926 + ,113461 + ,145285 + ,150999 + ,91838 + ,118807 + ,69471 + ,126630 + ,145908 + ,98393 + ,190926 + ,198797 + ,106193 + ,89318 + ,120362 + ,98791 + ,283982 + ,132798 + ,135251 + ,80953 + ,109237 + ,98724 + ,226191 + ,172071 + ,117815 + ,133561 + ,152193 + ,112004 + ,169613 + ,187483 + ,130533 + ,142339 + ,199232 + ,201744 + ,247024 + ,158054 + ,182581 + ,106351 + ,43287 + ,127493 + ,127930 + ,149006 + ,187714 + ,74112 + ,94006 + ,176625 + ,141933 + ,22938 + ,125927 + ,61857 + ,91290 + ,255100 + ,21054 + ,174150 + ,31414 + ,189461 + ,137544 + ,77166 + ,74567 + ,38214 + ,90961 + ,194652 + ,135261 + ,244272 + ,201748 + ,256402 + ,139144 + ,76470 + ,193518 + ,280334 + ,50999 + ,254825 + ,103239 + ,168059 + ,129762 + ,78256 + ,249232 + ,152366 + ,173260 + ,197197 + ,68388 + ,139409 + ,185366 + ,0 + ,14688 + ,98 + ,455 + ,0 + ,0 + ,137885 + ,185288 + ,0 + ,203 + ,7199 + ,46660 + ,17547 + ,73567 + ,969 + ,105477) > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > 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/1dg9p1321960156.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/2g4g31321960156.tab") > > try(system("convert tmp/1dg9p1321960156.ps tmp/1dg9p1321960156.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.033 0.091 1.128