Skip to contents

Title: A function to create an attribute or column for each sample loaded into the microplate wells.

Source: R/resample_dat_scale_optimus.R
resample_dat_scale_optimus_backend.Rd

Creates a data frame where each sample loaded into the microplate wells has a separate attribute.

Usage

resample_dat_scale_optimus_backend(df, tnp, cycles, na_omit = NULL)

Arguments

df

A clean data frame with attributes or tuples containing a mixture of samples.

tnp

A numeric value indicating the number of rows used. TNP is used as an acronym for Test, Negative, Positive.

cycles

A numeric value indicating the number of cycles selected by the user when running the FLUOstar instrument.

na_omit

Takes a string "yes" OR "no".

Value

A new data frame where separated samples are assigned a separate attribute or column.

Note

This function builds on or scales-up @seealso resample_dat(), hence the suffix scale. This function is more optimized than @seealso resample_dat_scale(), hence the suffix scale_optimus.

See also

resample_dat()

Author

Tingwei Adeck

Examples

fpath <- system.file("extdata", "dat_1.dat", package = "normfluodbf", mustWork = TRUE)
dat_df <- read.table(file=fpath)
nocomma_dat <- clean_odddat_optimus(dat_df)
resampled_scaled <- resample_dat_scale_optimus_backend(nocomma_dat, tnp=3, cycles=40)