integrate_score: Integrate Score Tables

In chenyenchung/genofeatutil: Utilities for genomic feature manipulation

Description

integrate_score() takes one specified column from multiple data frames containing the scores for prediction-target pair, and integrated them into a summary table, in which each column represents one table, and each row represents a prediction-target pair.

Usage

integrate_score(..., column.name, na.zero = TRUE)

Arguments

...	named arguments of dataframes; the names will be used as column names in the result.
column.name	a character string indicating the column name containing the score to merge
na.zero	a logical value; if TRUE, NAs will be replaced by 0

Value

a data frame containing integrated scores of interest

Examples

# Generate dummy data
t1 <- data.frame("predictor" = c("tf_1", "tf_2", "tf_3"),
                 "target" = c("gene_1", "gene_2", "gene_3"),
                 "MSE" = c(1, 1, 0))
t2 <- data.frame("predictor" = c("tf_1", "tf_2", "tf_3"),
                 "target" = c("gene_1", "gene_2", "gene_3"),
                 "MSE" = c(1, 0, 1))
t3 <- data.frame("predictor" = c("tf_1", "tf_2", "tf_3", "tf_4"),
                 "target" = c("gene_1", "gene_2", "gene_3", "gene_1"),
                 "MSE" = c(0, 1, 1, 1))

integrated_table <- integrate_score(t1 = t1, t2 = t2, t3 = t3,
                                    column.name = "MSE")

chenyenchung/genofeatutil documentation built on May 15, 2019, 10:38 p.m.