Apply simlr matrices to an existing data frame and combine the results with DTI naming fix.

This function takes a list of matrices, applies each matrix via matrix multiplication to an existing data frame, and combines the resulting projections with the original data frame. Handles an as yet uncharacterized issue with column names in prior versions of data processing.

apply_simlr_matrices_dtfix(
  existing_df,
  matrices_list,
  n_limit = NULL,
  robust = FALSE,
  center = FALSE,
  scale = FALSE,
  absolute_value = NULL,
  verbose = FALSE
)

Arguments

existing_df

An existing data frame to which the matrices will be applied.

matrices_list

A list of matrices read from CSV files.

n_limit

NULL or integer that can limit the number of projections

robust

boolean

center

boolean center the data before applying

scale

boolean scale the data before applying

absolute_value

boolean vector indicating whether to take abs of feature matrices ; set to FALSE by default; when using antspymm_simlr, the values should be set to TRUE; this is not required but it makes sure that the feature weights are non-negative.

verbose

boolean

Value

A list including (entry one) data frame with the original data frame combined with the projections (entry two) the new column names