R version 2.8.1 (2008-12-22) Copyright (C) 2008 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(2.03,2.86,2.55,2.27,2.26,2.57,3.07,2.76,2.51,2.87,3.14,3.11,3.16,2.47,2.57,2.89,2.63,2.38,1.69,1.96,2.19,1.87,1.6,1.63,1.22,1.21,1.49,1.64,1.66,1.77,1.82,1.78,1.28,1.29,1.37,1.12,1.51,2.24,2.94,3.09,3.46,3.64,4.39,4.15,5.21,5.8,5.91,5.39,5.46,4.72,3.14,2.63,2.32,1.93,0.62,0.6,-0.37,-1.1,-1.68,-0.78) > y <- c(0.86,0.88,0.88,0.88,0.87,0.88,0.87,0.85,0.84,0.83,0.86,0.87,0.85,0.89,0.98,1.01,1,1.01,1.05,1,0.99,1.02,1.11,1.15,1.18,1.2,1.22,1.2,1.23,1.23,1.21,1.25,1.2,1.2,1.21,1.25,1.23,1.2,1.18,1.16,1.12,1.11,1.1,1.08,1.01,1.01,0.99,1.07,1.13,1.09,0.95,0.79,0.73,0.7,0.65,0.61,0.53,0.51,0.41,0.42) > x <- c(2756.76,2849.27,2921.44,2981.85,3080.58,3106.22,3119.31,3061.26,3097.31,3161.69,3257.16,3277.01,3295.32,3363.99,3494.17,3667.03,3813.06,3917.96,3895.51,3801.06,3570.12,3701.61,3862.27,3970.1,4138.52,4199.75,4290.89,4443.91,4502.64,4356.98,4591.27,4696.96,4621.4,4562.84,4202.52,4296.49,4435.23,4105.18,4116.68,3844.49,3720.98,3674.4,3857.62,3801.06,3504.37,3032.6,3047.03,2962.34,2197.82,2014.45,1862.83,1905.41,1810.99,1670.07,1864.44,2052.02,2029.6,2070.83,2293.41,2443.27) > #'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] 0.8084609 > (rho23 <- cor(y, z)) [1] 0.3573463 > (rho13 <- cor(x, z)) [1] -0.01210676 > (rhoxy_z <- (rho12-(rho13*rho23))/(sqrt(1-(rho13*rho13)) * sqrt(1-(rho23*rho23)))) [1] 0.8703117 > (rhoxz_y <- (rho13-(rho12*rho23))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho23*rho23)))) [1] -0.5475954 > (rhoyz_x <- (rho23-(rho12*rho13))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho13*rho13)))) [1] 0.6238401 > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/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/rcomp/tmp/1m3s11257797565.tab") > > > > proc.time() user system elapsed 0.210 0.090 0.291