R version 2.9.0 (2009-04-17) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 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. > z <- c(100.2,100.4,101.4,103,109.1,111.4,114.1,121.8,127.6,129.9,128,123.5,124,127.4,127.6,128.4,131.4,135.1,134,144.5,147.3,150.9,148.7,141.4,138.9,139.8,145.6,147.9,148.5,151.1,157.5,167.5,172.3,173.5,187.5,205.5,195.1,204.5,204.5,201.7,207,206.6,210.6,211.1,215,223.9,238.2,238.9,229.6,232.2,222.1,221.6,227.3,221,213.6,243.4,253.8,265.3,268.2,268.5,266.9,268.4,250.8,231.2,192,171.4,160,148.1,144.8,147.2,155.1,161.1,169.9) > y <- c(15.5,15.1,11.7,16.3,16.7,15,14.9,14.6,15.3,17.9,16.4,15.4,17.9,15.9,13.9,17.8,17.9,17.4,16.7,16,16.6,19.1,17.8,17.2,18.6,16.3,15.1,19.2,17.7,19.1,18,17.5,17.8,21.1,17.2,19.4,19.8,17.6,16.2,19.5,19.9,20,17.3,18.9,18.6,21.4,18.6,19.8,20.8,19.6,17.7,19.8,22.2,20.7,17.9,20.9,21.2,21.4,23,21.3,23.9,22.4,18.3,22.8,22.3,17.8,16.4,16,16.4,17.7,16.6,16.2,18.3) > x <- c(-0.8,-0.2,0.2,1,0,-0.2,1,0.4,1,1.7,3.1,3.3,3.1,3.5,6,5.7,4.7,4.2,3.6,4.4,2.5,-0.6,-1.9,-1.9,0.7,-0.9,-1.7,-3.1,-2.1,0.2,1.2,3.8,4,6.6,5.3,7.6,4.7,6.6,4.4,4.6,6,4.8,4,2.7,3,4.1,4,2.7,2.6,3.1,4.4,3,2,1.3,1.5,1.3,3.2,1.8,3.3,1,2.4,0.4,-0.1,1.3,-1.1,-4.4,-7.5,-12.2,-14.5,-16,-16.7,-16.3,-16.9) > #'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!) > (rho12 <- cor(x, y)) [1] 0.2054673 > (rho23 <- cor(y, z)) [1] 0.7986364 > (rho13 <- cor(x, z)) [1] 0.2219611 > (rhoxy_z <- (rho12-(rho13*rho23))/(sqrt(1-(rho13*rho13)) * sqrt(1-(rho23*rho23)))) [1] 0.04805891 > (rhoxz_y <- (rho13-(rho12*rho23))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho23*rho23)))) [1] 0.09825139 > (rhoyz_x <- (rho23-(rho12*rho13))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho13*rho13)))) [1] 0.7891321 > > #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,'Pearson Product Moment Partial Correlation - Ungrouped Data',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Statistic',1,TRUE) > a<-table.element(a,'Value',1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Correlation r(xy)',header=TRUE) > a<-table.element(a,rho12) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/partial_correlation1.htm','Partial Correlation r(xy.z)',''),header=TRUE) > a<-table.element(a,rhoxy_z) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Correlation r(xz)',header=TRUE) > a<-table.element(a,rho13) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/partial_correlation1.htm','Partial Correlation r(xz.y)',''),header=TRUE) > a<-table.element(a,rhoxz_y) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Correlation r(yz)',header=TRUE) > a<-table.element(a,rho23) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/partial_correlation1.htm','Partial Correlation r(yz.x)',''),header=TRUE) > a<-table.element(a,rhoyz_x) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/1n69y1261051671.tab") > > > > proc.time() user system elapsed 0.200 0.021 0.218