fill_missing-methods: Fill feature value if missing from element-feature pairs

In nanny: High-Level Data Analysis and Manipulation in 'tidyverse' Style

Description

fill_missing() takes as imput a 'tbl' formatted as | <element> | <feature> | <value> | <...> | and returns a 'tbl' with an edditional adjusted value column. This method uses scaled counts if present.

Usage

fill_missing(.data, .element, .feature, .value, fill_with)

## S4 method for signature 'spec_tbl_df'
fill_missing(.data, .element, .feature, .value, fill_with)

## S4 method for signature 'tbl_df'
fill_missing(.data, .element, .feature, .value, fill_with)

Arguments

.data	A 'tbl' formatted as | <element> | <feature> | <value> | <...> |
.element	The name of the element column
.feature	The name of the feature/gene column
.value	The name of the feature/gene value column
fill_with	A numerical value with which fill the mssing data points

Details

\lifecycle

maturing

This function fills the value of missing element-feature pair using the median of the element group defined by the formula

Value

A 'tbl' non-sparse value

A 'tbl' with filled abundance

A 'tbl' with filled abundance

Examples

fill_missing(mtcars_tidy, car_model, feature, value, fill_with = 0)

nanny documentation built on July 1, 2020, 10:20 p.m.