data.frame,
with rows for the individual measurements and columns the variables
and factors of the assay - for pla.fit and pla.plots.assayTable2frame(table,
dr = 2,
Z = log((1/dr)^(max(Dilution) - Dilution)),
byOrder = TRUE,
echoData = TRUE,
...)as.array on the result of readAssayTable.Dilution is dilution step.
See also data2assayFrame.TRUE then the order of the columns
defines the order and values of the dilution steps - for tables read
by readAssayTable with the single repetition over several lines.
If FALSE<TRUE then the data is shown with means,
standard deviations and coefficients of variations of columns.Response, Dilution,
Sample, and Replicate.
The rows of the input table are replicates,
and the columns of the input table are the
cross classification samples and dilutions.