transform: Transform observation variables.

In cytominer: Methods for Image-Based Cell Profiling

Description

transform transforms observation variables based on the specified transformation method.

Usage

transform(population, variables, operation = "generalized_log", ...)

Arguments

population	tbl with grouping (metadata) and observation variables.
variables	character vector specifying observation variables.
operation	optional character string specifying method for transform. This must be one of the strings "generalized_log" (default), "whiten".
...	arguments passed to transformation operation.

Value

transformed data of the same class as population.

Examples

population <- tibble::tibble(
  Metadata_Well = c("A01", "A02", "B01", "B02"),
  Intensity_DNA = c(8, 20, 12, 32)
)
variables <- c("Intensity_DNA")
transform(population, variables, operation = "generalized_log")

Example output

Attaching package: 'cytominer'

The following object is masked from 'package:stats':

    aggregate

The following object is masked from 'package:base':

    transform

# A tibble: 4 x 2
  Metadata_Well Intensity_DNA
  <chr>                 <dbl>
1 A01                    2.08
2 A02                    3.00
3 B01                    2.49
4 B02                    3.47

cytominer documentation built on July 8, 2020, 5:08 p.m.