run_impute: impute the expression profile in 'assayData' by features
In HuaZou/MyRtools: Statistic Approaches on Data Analysis

Description Usage Arguments Details Value Author(s)

The missing values in expression profile maybe affect the statistical results, imputing the NAs or Zero values should taken into account.

1	run_impute(object, normalize=c("none", "deletion", "GlobalStandard", "KNN"))

object,

Object; a ['matrix'] or ['assayData-class'] or ['ExpressionSet-class'].

normalize,

Character; normalization to apply, the options inclulde: * "none": return the original data without any transformation. * "deletion": the deletion method is used when the probability of missing variable is same for all observations. * "GlobalStandard": (Mean/ Mode/ Median Imputation), consists of replacing the missing data for a given attribute by the mean or median (quantitative attribute) or mode (qualitative attribute) of all known values of that variable. * "KNN": the missing values of an attribute are imputed using the given number of attributes that are most similar to the attribute whose values are missing.

12/13/2021 Guangzhou China

A object matches the class of argument 'object' with the imputated profile.

Hua Zou

HuaZou/MyRtools documentation built on Jan. 6, 2022, 8:56 a.m.