R/methods.R
fill_missing_abundance-methods.Rd
fill_missing_abundance() takes as input A `tbl` (with at least three columns for sample, feature and transcript abundance) or `SummarizedExperiment` (more convenient if abstracted to tibble with library(tidySummarizedExperiment)) and returns a consistent object (to the input) with new observations
fill_missing_abundance(
.data,
.sample = NULL,
.transcript = NULL,
.abundance = NULL,
fill_with
)
# S4 method for spec_tbl_df
fill_missing_abundance(
.data,
.sample = NULL,
.transcript = NULL,
.abundance = NULL,
fill_with
)
# S4 method for tbl_df
fill_missing_abundance(
.data,
.sample = NULL,
.transcript = NULL,
.abundance = NULL,
fill_with
)
# S4 method for tidybulk
fill_missing_abundance(
.data,
.sample = NULL,
.transcript = NULL,
.abundance = NULL,
fill_with
)
A `tbl` formatted as | <SAMPLE> | <TRANSCRIPT> | <COUNT> | <...> |
The name of the sample column
The name of the transcript column
The name of the transcript abundance column
A numerical abundance with which fill the missing data points
A consistent object (to the input) non-sparse abundance
A consistent object (to the input) with filled abundance
A consistent object (to the input) with filled abundance
A consistent object (to the input) with filled abundance
This function fills the abundance of missing sample-transcript pair using the median of the sample group defined by the formula
# tidybulk::se_mini |> fill_missing_abundance( fill_with = 0)