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

Source: R/resample_dat_vect.R
resample_dat_vect.Rd

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.

Usage

resample_dat_vect(df, tnp, cycles, output = 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.

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.

Note

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

See also

resample_vect_scale()

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

Author

Tingwei Adeck

Examples

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)