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(1.20,1.23,1.23,1.20,1.18,1.19,1.21,1.19,1.20,1.23,1.28,1.27,1.27,1.28,1.27,1.26,1.29,1.32,1.30,1.31,1.32,1.35,1.35,1.34,1.37,1.36,1.39,1.42,1.47,1.46,1.47,1.47,1.55,1.58,1.56,1.56,1.58,1.50,1.44,1.33,1.27,1.34,1.32,1.28,1.31,1.32,1.37,1.40,1.41)
> y <- c(10881.30,11301.20,13643.90,12517.00,13981.10,14275.70,13425.00,13565.70,16216.30,12970.00,14079.90,14235.00,12213.40,12581.00,14130.40,14210.80,14378.50,13142.80,13714.70,13621.90,15379.80,13306.30,14391.20,14909.90,14025.40,12951.20,14344.30,16093.40,15413.60,14705.70,15972.80,16241.40,16626.40,17136.20,15622.90,18003.90,16136.10,14423.70,16789.40,16782.20,14133.80,12607.00,12004.50,12175.40,13268.00,12299.30,11800.60,13873.30,12315.00)
> x <- c(1023.10,1141.00,1116.30,1135.60,1210.50,1230.00,1136.50,1068.70,1372.50,1049.90,1302.20,1305.90,1173.50,1277.40,1238.60,1508.60,1423.40,1375.10,1344.10,1287.50,1446.90,1451.00,1604.40,1501.50,1522.80,1328.00,1420.50,1648.00,1631.10,1396.60,1663.40,1283.00,1582.40,1785.20,1853.60,1994.10,2042.80,1586.10,1942.40,1763.60,1819.90,1836.00,1447.50,1509.50,1661.20,1456.20,1310.90,1542.10,1537.70)
> #'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] 0.6103047
> (rho23 <- cor(y, z))
[1] 0.6124382
> (rho13 <- cor(x, z))
[1] 0.7347503
> (rhoxy_z <- (rho12-(rho13*rho23))/(sqrt(1-(rho13*rho13)) * sqrt(1-(rho23*rho23))))
[1] 0.2989631
> (rhoxz_y <- (rho13-(rho12*rho23))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho23*rho23))))
[1] 0.5764347
> (rhoyz_x <- (rho23-(rho12*rho13))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho13*rho13))))
[1] 0.3052288
> 
> #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/1tuv31257625301.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  0.209   0.026   0.274