pivot_sample {tidybulk} | R Documentation |
pivot_sample() 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 'tbl' with only sample-related columns
pivot_sample(.data, .sample = NULL) ## S4 method for signature 'spec_tbl_df' pivot_sample(.data, .sample = NULL) ## S4 method for signature 'tbl_df' pivot_sample(.data, .sample = NULL) ## S4 method for signature 'tidybulk' pivot_sample(.data, .sample = NULL) ## S4 method for signature 'SummarizedExperiment' pivot_sample(.data, .sample = NULL) ## S4 method for signature 'RangedSummarizedExperiment' pivot_sample(.data, .sample = NULL)
.data |
A 'tbl' (with at least three columns for sample, feature and transcript abundance) or 'SummarizedExperiment' (more convenient if abstracted to tibble with library(tidySummarizedExperiment)) |
.sample |
The name of the sample column |
'r lifecycle::badge("maturing")'
This functon extracts only sample-related information for downstream analysis (e.g., visualisation). It is disruptive in the sense that it cannot be passed anymore to tidybulk function.
A 'tbl' with transcript-related information
A consistent object (to the input)
A consistent object (to the input)
pivot_sample(tidybulk::se_mini )