assoc_ZiR.ZjY: Association between variable Z_{iR} and Z_{jY}.
In corrDNA: Finding Associations in Position-Wise Aligned DNA Sequence Dataset

Description Usage Arguments Details Value Note Author(s) Examples

Finding association between variable Z_{R} at i^th position and Z_{Y} at j^th position. Here, the standard normal variable Z_{Y} represents the occurences C and T at each position in the position wise aligned dataset, and the standard normal variable Z_{R} reprsents the occurences of nucleotides A and G at any position based on some threshold values.

1	assoc_ZiR.ZjY(x, rZiZj, rZiZjR, rZiZjY)

`x`	A dataframe of position wise aligned sequence dataset having A, T, G and C only.
`rZiZj`	An object generated by using the function `assoc_Zi.Zj`.
`rZiZjR`	An object generated by using the function `assoc_Zi.ZjR`.
`rZiZjY`	An object generated by using the function `assoc_Zi.ZjY`.

The user has to supply the input dataset as well as the outputs generated from the functions assoc_Zi.Zj, assoc_Zi.ZjR and assoc_Zi.ZjY.

A numeric matrix of order L by L for the dataset of L nucleotides long sequences.

It may happen that the convergence will not reach after a ceratin number of iterations and will not produce any output. In such situation, the user is advised to exclude or include some positions , or otherwise include or exclude certain sequences. The user should exploit both options till convergence is reached.

Prabina Kumar Meher & A. R. Rao

data(don_dat)
kk <- don_dat[1:300,]
zizj <- assoc_Zi.Zj(x=kk)
zizjr <- assoc_Zi.ZjR(x=kk, rZiZj=zizj)
zizjy <- assoc_Zi.ZjY(x=kk, rZiZj=zizj)
zirzjy <- assoc_ZiR.ZjY(x=kk, rZiZj=zizj, rZiZjR=zizjr, rZiZjY=zizjy)
zirzjy