simlr_impute: Impute missing SiMLR data in a specified column based on...

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

Impute missing SiMLR data in a specified column based on other columns

Description

Impute missing SiMLR data in a specified column based on other columns

Usage

simlr_impute(
  dataframe,
  nms,
  vecnum,
  toimpute,
  separator = "PC",
  family = "gaussian"
)

Arguments

dataframe	A data frame containing the data to impute.
nms	A vector of base column names.
vecnum	A numeric value to append to the column names.
toimpute	The base name of the target column to be imputed.
separator	A string specifying the separator between the column name and feature.
family	A string specifying the GLM family (default is 'gaussian').

Value

A data frame with imputed values.

Examples

set.seed(123)
n=50
df <- data.frame(
  t1PC1 = rnorm(n),
  t1aPC1 = rnorm(n),
  dtPC1 = rnorm(n),
  dtaPC1 = rnorm(n),
  rsfPC1 = rnorm(n),
  perfPC1 = rnorm(n)
)
df[ sample(1:nrow(df),20),6 ]=NA
nms <- c("t1", "t1a", "dt", "dta", "rsf", "perf")
vecnum <- 1
toimpute <- "perf"
df = simlr_impute(df, nms, vecnum, toimpute, family = 'gaussian')

stnava/ANTsR documentation built on April 13, 2025, 4:10 a.m.