missing_values_df: Function to imputes Missing Values into data matrix using knn

In MJS-708/MSIprocessing: R package for processing MSI data - specifically extends Cardinal functionality

Description

Function to imputes Missing Values into data matrix using knn

Usage

missing_values_df(df, k = 10, rowmax = 0.5, colmax = 0.8, maxp = NULL)

Arguments

df	dataframe with rows = ?, cols = ?
k	number of nearest neighbours for knn (default = 10)
rowmax	maximum number of missing values in row of df (default = 0.5)
colmax	maximum number of missing values in col of df (default = 0.8)
maxp	Check impute::impute.knn (default = NULL)

Value

df with imputed values - rows = ?, cols = ?

MJS-708/MSIprocessing documentation built on Dec. 17, 2021, 2:11 a.m.