ilr.predict: Predict from ilr output

In stnava/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

Predict from ilr output

Description

This function computes a prediction given ilr output.

Usage

ilr.predict(ilrResult, dataFrame, voxmats, myFormula)

Arguments

ilrResult	This output form ilr
dataFrame	This data frame contains all relevant predictors except for the matrices associated with the image variables.
voxmats	The named list of matrices that contains the changing predictors.
myFormula	This is a character string that defines a valid regression formula.

Value

the predicted matrix.

Author(s)

BB Avants.

See Also

ilr

Examples

set.seed(1500)
nsub <- 100
trte <- sample(1:nsub)[1:70]
covarIn <- rnorm(nsub)
mat <- replicate(nsub, rnorm(nsub))
mat2 <- replicate(nsub, rnorm(nsub))
outcomeAtVox <- mat[, 2]
# also try myform = " vox ~ covar + vox2 "
myform <- "outcome ~ covar + vox + vox2"
df <- data.frame(outcome = outcomeAtVox, covar = covarIn)
result <- ilr(df[trte, ], list(vox = mat[trte, ], vox2 = mat2[trte, ]), myform)
df2 <- data.frame(covar = covarIn[-trte])
pred <- ilr.predict(result, df2, list(vox = mat[-trte, ], vox2 = mat2[-trte, ]), myform)
max(cor(pred, outcomeAtVox[-trte]))

stnava/ANTsR documentation built on April 16, 2024, 12:17 a.m.