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Type 'q()' to quit R. > x <- c(193.230,199.068,195.076,191.563,191.067,186.665,185.508,184.371,183.046,175.714,175.768,171.029,170.465,170.102,156.389,124.291,99.360,86.675,85.056,128.236,164.257,162.401,152.779,156.005,153.387,153.190,148.840,144.211,145.953,145.542,150.271,147.489,143.824,134.754,131.736,126.304,125.511,125.495,130.133,126.257,110.323,98.417,105.749,120.665,124.075,127.245,146.731,144.979,148.210,144.670,142.970,142.524,146.142,146.522,148.128,148.798,150.181,152.388,155.694,160.662,155.520,158.262,154.338,158.196,160.371,154.856,150.636,145.899,141.242,140.834,141.119,139.104,134.437,129.425,123.155,119.273,120.472,121.523,121.983,123.658,124.794,124.827,120.382,117.395,115.790,114.283,117.271,117.448,118.764,120.550,123.554,125.412,124.182,119.828,115.361,114.226,115.214,115.864,114.276,113.469,114.883,114.172,111.225,112.149,115.618,118.002,121.382,120.663) > par4 = 'Unknown' > par3 = 'FALSE' > par2 = 'grey' > par1 = '' > xlab = 'x' > main = 'Histogram' > #'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!) > par1 <- as.numeric(par1) > if (par3 == 'TRUE') par3 <- TRUE > if (par3 == 'FALSE') par3 <- FALSE > if (par4 == 'Unknown') par1 <- as.numeric(par1) > if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1) > if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5) > if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5) > if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5) > if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5) > if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5) > if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5) > if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5) > if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5) > postscript(file="/var/www/html/rcomp/tmp/1ha291260479298.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > if (is.na(par1)) { + myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3) + } else { + if (par1 < 0) par1 <- 3 + if (par1 > 50) par1 <- 50 + myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3) + } > dev.off() null device 1 > myhist $breaks [1] 80 100 120 140 160 180 200 $counts [1] 4 22 29 35 9 9 $intensities [1] 0.001851852 0.010185185 0.013425926 0.016203704 0.004166667 0.004166666 $density [1] 0.001851852 0.010185185 0.013425926 0.016203704 0.004166667 0.004166666 $mids [1] 90 110 130 150 170 190 $xname [1] "x" $equidist [1] TRUE attr(,"class") [1] "histogram" > n <- length(x) > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/histogram.htm','Frequency Table (Histogram)',''),6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Bins',header=TRUE) > a<-table.element(a,'Midpoint',header=TRUE) > a<-table.element(a,'Abs. Frequency',header=TRUE) > a<-table.element(a,'Rel. Frequency',header=TRUE) > a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE) > a<-table.element(a,'Density',header=TRUE) > a<-table.row.end(a) > crf <- 0 > if (par3 == FALSE) mybracket <- '[' else mybracket <- ']' > mynumrows <- (length(myhist$breaks)-1) > for (i in 1:mynumrows) { + a<-table.row.start(a) + if (i == 1) + dum <- paste('[',myhist$breaks[i],sep='') + else + dum <- paste(mybracket,myhist$breaks[i],sep='') + dum <- paste(dum,myhist$breaks[i+1],sep=',') + if (i==mynumrows) + dum <- paste(dum,']',sep='') + else + dum <- paste(dum,mybracket,sep='') + a<-table.element(a,dum,header=TRUE) + a<-table.element(a,myhist$mids[i]) + a<-table.element(a,myhist$counts[i]) + rf <- myhist$counts[i]/n + crf <- crf + rf + a<-table.element(a,round(rf,6)) + a<-table.element(a,round(crf,6)) + a<-table.element(a,round(myhist$density[i],6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/2ve581260479298.tab") > > system("convert tmp/1ha291260479298.ps tmp/1ha291260479298.png") > > > proc.time() user system elapsed 0.370 0.161 0.432