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Type 'q()' to quit R. > y <- c(186099 + ,113854 + ,99776 + ,106194 + ,100792 + ,47552 + ,250931 + ,6853 + ,115466 + ,110896 + ,169351 + ,94853 + ,72591 + ,101345 + ,113713 + ,165354 + ,164263 + ,135213 + ,111669 + ,134163 + ,140303 + ,150773 + ,111848 + ,102509 + ,96785 + ,116136 + ,158376 + ,153990 + ,64057 + ,230054 + ,184531 + ,114198 + ,198299 + ,33750 + ,189723 + ,100826 + ,188355 + ,104470 + ,58391 + ,164808 + ,134097 + ,80238 + ,133252 + ,54518 + ,121850 + ,79367 + ,56968 + ,106314 + ,191889 + ,104864 + ,160792 + ,15049 + ,191179 + ,25109 + ,45824 + ,129711 + ,210012 + ,194679 + ,197680 + ,81180 + ,197765 + ,214738 + ,96252 + ,124527 + ,153242 + ,145707 + ,113963 + ,134904 + ,114268 + ,94333 + ,102204 + ,23824 + ,111563 + ,91313 + ,89770 + ,100125 + ,165278 + ,181712 + ,80906 + ,75881 + ,83963 + ,175721 + ,68580 + ,136323 + ,55792 + ,25157 + ,100922 + ,118845 + ,170492 + ,81716 + ,115750 + ,105590 + ,92795 + ,82390 + ,135599 + ,127667 + ,163073 + ,211381 + ,189944 + ,226168 + ,117495 + ,195894 + ,80684 + ,19630 + ,88634 + ,139292 + ,128602 + ,135848 + ,178377 + ,106330 + ,178303 + ,116938 + ,5841 + ,106020 + ,24610 + ,74151 + ,232241 + ,6622 + ,127097 + ,13155 + ,160501 + ,91502 + ,24469 + ,88229 + ,13983 + ,80716 + ,157384 + ,122975 + ,191469 + ,231257 + ,258287 + ,122531 + ,61394 + ,86480 + ,195791 + ,18284 + ,147581 + ,72558 + ,147341 + ,114651 + ,100187 + ,130332 + ,134218 + ,10901 + ,145758 + ,75767 + ,134969 + ,169216 + ,0 + ,7953 + ,0 + ,0 + ,0 + ,0 + ,105406 + ,174586 + ,0 + ,0 + ,4245 + ,21509 + ,7670 + ,15673 + ,0 + ,75882) > x <- c(96,75,70,134,72,8,169,1,88,98,106,122,57,139,87,176,114,121,103,135,123,99,74,103,158,116,102,132,62,150,143,50,141,48,141,83,112,79,33,149,126,85,84,68,50,101,20,101,150,118,99,8,88,21,30,97,163,132,161,89,160,139,104,103,66,163,93,85,150,143,107,22,85,91,131,140,156,81,137,102,72,161,30,120,49,71,76,85,146,165,89,168,48,149,75,107,116,165,155,165,121,156,86,13,113,112,133,169,30,121,82,148,12,146,23,84,163,4,81,18,118,76,55,62,16,98,137,50,152,163,142,77,59,94,128,63,127,59,118,110,45,96,128,41,146,147,121,185,0,4,0,0,0,0,85,157,0,0,7,12,0,37,0,62) > ylab = 'X6' > xlab = 'X3' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > postscript(file="/var/wessaorg/rcomp/tmp/1yjnq1324635189.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > histx <- hist(x, plot=FALSE) > histy <- hist(y, plot=FALSE) > maxcounts <- max(c(histx$counts, histx$counts)) > xrange <- c(min(x),max(x)) > yrange <- c(min(y),max(y)) > nf <- layout(matrix(c(2,0,1,3),2,2,byrow=TRUE), c(3,1), c(1,3), TRUE) > par(mar=c(4,4,1,1)) > plot(x, y, xlim=xrange, ylim=yrange, xlab=xlab, ylab=ylab) > par(mar=c(0,4,1,1)) > barplot(histx$counts, axes=FALSE, ylim=c(0, maxcounts), space=0) > par(mar=c(4,0,1,1)) > barplot(histy$counts, axes=FALSE, xlim=c(0, maxcounts), space=0, horiz=TRUE) > dev.off() null device 1 > lx = length(x) > makebiased = (lx-1)/lx > varx = var(x)*makebiased > vary = var(y)*makebiased > corxy <- cor.test(x,y,method='pearson') > cxy <- as.matrix(corxy$estimate)[1,1] > > #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,'Pearson Product Moment Correlation - Ungrouped Data',3,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Statistic',1,TRUE) > a<-table.element(a,'Variable X',1,TRUE) > a<-table.element(a,'Variable Y',1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm','Mean',''),header=TRUE) > a<-table.element(a,mean(x)) > a<-table.element(a,mean(y)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/biased.htm','Biased Variance',''),header=TRUE) > a<-table.element(a,varx) > a<-table.element(a,vary) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/biased1.htm','Biased Standard Deviation',''),header=TRUE) > a<-table.element(a,sqrt(varx)) > a<-table.element(a,sqrt(vary)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/covariance.htm','Covariance',''),header=TRUE) > a<-table.element(a,cov(x,y),2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/pearson_correlation.htm','Correlation',''),header=TRUE) > a<-table.element(a,cxy,2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/coeff_of_determination.htm','Determination',''),header=TRUE) > a<-table.element(a,cxy*cxy,2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/ttest_statistic.htm','T-Test',''),header=TRUE) > a<-table.element(a,as.matrix(corxy$statistic)[1,1],2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'p-value (2 sided)',header=TRUE) > a<-table.element(a,(p2 <- as.matrix(corxy$p.value)[1,1]),2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'p-value (1 sided)',header=TRUE) > a<-table.element(a,p2/2,2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Degrees of Freedom',header=TRUE) > a<-table.element(a,lx-2,2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Number of Observations',header=TRUE) > a<-table.element(a,lx,2) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/283x51324635189.tab") > > try(system("convert tmp/1yjnq1324635189.ps tmp/1yjnq1324635189.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.523 0.102 0.632