nanny (version 0.1.8)

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

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

Value

A `tbl` non-sparse value

A `tbl` with filled abundance

A `tbl` with filled abundance

Details

maturing

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

Examples

# NOT RUN {
fill_missing(mtcars_tidy, car_model, feature, value, fill_with = 0)


# }