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Strings all functions together.

Usage

final_func(
  neut_xlsx_path,
  control_neg_column = c(1),
  control_pos_column = c(2),
  control_plating = "column",
  control_neg_wells = c("A1", "B1", "C1", "D1", "E1", "F1", "G1", "H1"),
  control_pos_wells = c("A2", "B2", "C2", "D2", "E2", "F2", "G2", "H2"),
  sheetname = "Results",
  rotation_deg_needed = 0,
  cluster = FALSE
)

Arguments

neut_xlsx_path

a file to normalise, where by default negative control is left most column, and positive control is second left column.

control_neg_column

The column which negative/cell control are located (column number from left, integer,default=1)

control_pos_column

The column which positive/cell control are located (column number from left, integer,default=2)

sheetname

the sheet of the .xlsx file to read, default for promega excel file is "Results"

rotation_deg_needed

degrees that dataframe needs to be rotated, default=0. Feeds into rotate.R

cluster

if the k-clusters dependent anomaly detection is invoked, default=FALSE. Feed into normalise.R

Value

A rotated, normalised dataframe where negative and positive control columns are removed.