load_sample_data

File path to the phenotype/covariate file.

phenoFile

Column name of the main phenotype of interest.

main.pheno


This function loads a file into a data frame. This file should contain one
row per sample in your study, and one column for each covariate and
phenotype of interest. Additionally, it requires a header with "IID" for
the column of sample IDs, and a unique name for each phenotype and covariate.


input

It provides functions to generate a correlation matrix
from a genetic dataset and to use this matrix to predict the phenotype of an
individual by using the phenotypes of the remaining individuals through
kriging. Kriging is a geostatistical method for optimal prediction or best
unbiased linear prediction. It consists of predicting the value of a
variable at an unobserved location as a weighted sum of the variable at
observed locations. Intuitively, it works as a reverse linear regression:
instead of computing correlation (univariate regression coefficients are
simply scaled correlation) between a dependent variable Y and independent
variables X, it uses known correlation between X and Y to predict Y.

load_sample_data: Loads sample phenotype and covariate data into data frame.

Description

Usage

Arguments

Value