count_studies: count_studies

In Dahaniel/DoOR.functions: Integrating Heterogeneous Odorant Response Data into a Common Response Model: A DoOR to the Complete Olfactome

count_studies

Description

returns a matrix indiating how many studies have recorded individual receptor-odorant combinations

Usage

count_studies(ors = door_default_values("ORs"),
  odor_data = door_default_values("odor"),
  char.columns = door_default_values("num.charColumns"),
  ident = door_default_values("ident"))

Arguments

ors	data.frame containing all receptors exidting in DoOR.
odor_data	data.frame containing information about the odorants in DoOR.
char.columns	number of character columns in each receptor data.frame.
ident	odorant identifier to be used as rownames.

Value

matrix

Examples

# load some data
library(DoOR.data)
load_door_data(nointeraction = TRUE)

#run count studies and plot the result
count <- count_studies()
image(count)
head(count)

Dahaniel/DoOR.functions documentation built on Feb. 20, 2024, 7:04 p.m.