sim_filter_all_same | R Documentation |
sim_filter_all_same
filters a melted similarity matrix to keep pairs
with the same values in specific columns.
sim_filter_all_same(
sim_df,
row_metadata,
all_same_cols,
annotation_cols = NULL,
include_group_tag = FALSE,
drop_lower = FALSE,
sim_cols = c("id1", "id2", "sim")
)
sim_df |
data.frame with melted similarity matrix. |
row_metadata |
data.frame with row metadata. |
all_same_cols |
character vector specifying columns. |
annotation_cols |
optional character vector specifying which columns
from |
include_group_tag |
optional boolean specifying whether to include an
identifier for the pairs using the values in the |
drop_lower |
optional boolean specifying whether to drop the pairs
where the first index is smaller than the second index. This is equivalent
to dropping the lower triangular of |
sim_cols |
optional character string specifying minimal set of columns for a similarity matrix |
Filtered sim_df
as a data.frame, where only pairs with the
same values in all_same_cols
columns are kept. Rows are annotated
based on the first index, if specified.
suppressMessages(suppressWarnings(library(magrittr)))
n <- 5
population <- tibble::tibble(
Metadata_group = sample(c("a", "b"), n, replace = TRUE),
Metadata_type = sample(c("x", "y"), n, replace = TRUE),
x = rnorm(n),
y = x + rnorm(n) / 100,
z = y + rnorm(n) / 1000
)
annotation_cols <- c("Metadata_group", "Metadata_type")
sim_df <- matric::sim_calculate(population, method = "pearson")
row_metadata <- attr(sim_df, "row_metadata")
sim_df <- matric::sim_annotate(sim_df, row_metadata, annotation_cols)
all_same_cols <- c("Metadata_group")
include_group_tag <- TRUE
drop_lower <- FALSE
matric::sim_filter_all_same(
sim_df,
row_metadata,
all_same_cols,
annotation_cols,
include_group_tag,
drop_lower
)
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