Add these two column to a fluidigm dataset:

scale_fluidigm(.data, .group)

Arguments

.data

A `data.frame` produced by `read_fluidigm()` and normalized by `normalize()`. The columns required are: `sample_name`,`target_name` and `expression`.

.group

A column of `.data` that you want to use to group your expression values before scaling.

Details

- `scaled_sd` is a column that stores expression values scaled by z-scored. - `scaled_01` is a column that stores expression values scaled in range from 0 to 1.

Run this function after `normalize()`.