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SexRegress: Performing linear regression analysis with quantitative response variable.

Source: R/GXwasR_main_functions.R
SexRegress.Rd

This function could be used to check association of two variables. For instance, PRS with sex.

Usage

SexRegress(fdata, regressor_index, response_index)

Arguments

fdata

R dataframe object. The column with header response should contain the response variable. All other column are the regressor.

regressor_index

Integer value, specifying the column number of the main regressor variable.

response_index

Integer value, specifying the column number of the response variable.

Value

Numeric value containing the regression estimate ("Estimate"), standard error ("Std. Error"), statistics ("t value") and p-value (\(Pr(>|t|)\))

Examples

data("Regression_Ex", package = "GXwasR")
fdata <- Regression_Ex
fdata$SEX <- as.factor(as.character(fdata$SEX))
response_index <- 1
regressor_index <- 2

x <- SexRegress(fdata, regressor_index, response_index)