dot-loadMatrixFromDF: Given a dataframe with the columns "from", "to", and...

In abseqR: Reporting and data analysis functionalities for Rep-Seq datasets of antibody libraries

Description

Given a dataframe with the columns "from", "to", and value.var, return a symmetric matrix (with diagonal values = diag). I.e. a call to isSymmetric(return_value_of_this_function) will always be TRUE.

Usage

.loadMatrixFromDF(dataframe, value.var, diag, unidirectional = TRUE)

Arguments

dataframe	dataframe with 3 required columns, namely: +—————————————+ | from | to | value.var | ... | +—————————————+ | | | | | +—————————————+ where value.var is the string provided in the function parameter
value.var	the column to use as the matrix value
diag	what should the diagonal values be if the dataframe doesn't provide them
unidirectional	logical type. If the dataframe provided has the reverse pairs (i.e. a from-to pair AND a to-from pair with the save values in the value.var column), then this should be FALSE. Otherwise, this function will flip the from-to columns to generate a symmetric dataframe (and hence, a symmetric matrix).

Value

a symmetric matrix with rownames(mat) == colnames(mat) The diagonal values are filled with diag if the dataframe itself doesn't have diagonal data

abseqR documentation built on Nov. 8, 2020, 8:28 p.m.