resample: A function to create an attribute or column for each sample...

In normfluodbf: Cleans and Normalizes FLUOstar DBF and DAT Files from 'Liposome' Flux Assays

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

Description

Designed as a prototype function to take a single attribute or column consisting of several samples and perform a putative resampling to yield another data frame with a separate attribute for each sample.

Designed as a prototype function to take a single attribute or column consisting of several samples and perform a putative resampling to yield another data frame with a separate attribute for each sample.

: Designed as a prototype function to take a single tuple or row consisting of several samples and perform a putative resampling to yield another data frame with a separate attribute for each sample.

Usage

resample_dat_vect(df, tnp, cycles, output = NULL)

resample_dat(df, tnp, cycles)

resample_dat_alt(df, tnp, cycles)

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.
output	A choice between "df' and 'vector' outputs. Leave NULL for a data frame.

Value

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

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

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

Note

This is the vectorized approach and should be a more efficient function when compared to say

Author(s)

Tingwei Adeck

See Also

resample_vect_scale()

resample_dat() or @seealso resample_dat_alt(). This function will produce a vertical layout as defined in this package.

resample_dat_scale(), resample_dat_scale_optimus()

resample_dat_scale_alt()

Examples

## Not run: 
fpath <- system.file("extdata", "dat_4.dat", package = "normfluodbf", mustWork = TRUE)
dat_df <- read.table(file=fpath)
nocomma_dat <- clean_odddat_optimus(dat_df)
samples_delineated <- resample_dat_vect(nocomma_dat, tnp=3, cycles=40)
## End(Not run)
## Not run: 
fpath <- system.file("extdata", "dat_5.dat", package = "normfluodbf", mustWork = TRUE)
dat_df <- read.table(file=fpath)
nocomma_dat <- clean_odddat_optimus(dat_df)
samples_delineated <- resample_dat(nocomma_dat, tnp=3, cycles=40)
## End(Not run)
## Not run: 
fpath <- system.file("extdata", "dat_5.dat", package = "normfluodbf", mustWork = TRUE)
dat_df <- read.table(file=fpath)
nocomma_dat <- clean_odddat_optimus(dat_df)
samples_delineated <- resample_dat_alt(nocomma_dat, tnp=3, cycles=40)
## End(Not run)

normfluodbf documentation built on Sept. 28, 2024, 1:06 a.m.