rwyxz: Spurious correlation In geostats: An Introduction to Statistics for Geoscientists

 rwyxz R Documentation

Spurious correlation

Description

Calculate the ‘null correlation’ of ratios, using the the spurious correlation formula of Pearson (1897).

Usage

rwyxz(
mw,
mx,
my,
mz,
sw,
sx,
sy,
sz,
rwx = 0,
rwy = 0,
rwz = 0,
rxy = 0,
rxz = 0,
ryz = 0
)

ryxy(mx, my, sx, sy, rxy = 0)

rxzyz(mx, my, mz, sx, sy, sz, rxy = 0, rxz = 0, ryz = 0)


Arguments

 mw the mean of variable w mx the mean of variable x my the mean of variable y mz the mean of variable z sw the standard deviation of variable w sx the standard deviation of variable x sy the standard deviation of variable y sz the standard deviation of variable z rwx the correlation coefficient between w and x rwy the correlation coefficient between w and y rwz the correlation coefficient between w and z rxy the correlation coefficient between x and y rxz the correlation coefficient between x and z ryz the correlation coefficient between y and z

Value

the null correlation coefficient

References

Pearson, K. “Mathematical contributions to the theory of evolution. – on a form of spurious correlation which may arise when indices are used in the measurement of organs.” Proceedings of the Royal Society of London 60.359-367 (1897): 489-498.

Examples

rxzyz(mx=100,my=100,mz=100,sx=1,sy=1,sz=10)


geostats documentation built on Jan. 7, 2023, 5:32 p.m.