dplot_tuningCurve: dplot_tuningCurve

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

dplot_tuningCurve

Description

plot a receptor or odorant tuning curve

Usage

dplot_tuningCurve(receptor, odorant, response.vector,
  response_matrix = door_default_values("door_response_matrix"),
  odor_data = door_default_values("odor"),
  zero = door_default_values("zero"),
  fill.receptor = door_default_values("color.receptor"),
  fill.odorant = door_default_values("color.odorant"), odor.main = "Name",
  limits, base_size = 12)

Arguments

receptor	character, a receptor name (one of ORS$OR)
odorant	character, an odorant name (InChIKey)
response.vector	numerical vector, a vector with responses, if empty this is taken from door_response_matrix
response_matrix	DoOR response matrix, response vector will be taken from here, not needed if response.vector is given
odor_data	data frame, contains the odorant information.
zero	InChIKey, will be set to zero, default is SFR, ignored when data is provided via response.vector, set to "" if you don't want to subtract anything
fill.receptor	color code, bar color for receptor tuning curve
fill.odorant	color code, bar color for odorant tuning curve
odor.main	the odor identifier to plot, one of colnamed(odor)
limits	the numerical vector of length 2, y limits for the tuning curve
base_size	numeric, the base font size for the ggplot2 plot

Value

a ggplot object

Author(s)

Daniel Münch <[e-mail]>

Examples

# load data
library(DoOR.data)
data(door_response_matrix)
data(odor)

# plot a tuning curve for an odorant
dplot_tuningCurve(odorant = odor$InChIKey[2])
# or for a receptor
dplot_tuningCurve(receptor = "Or22a")

# adjust the plotting range
range <- range(reset_sfr(door_response_matrix, "SFR"), na.rm = TRUE)
dplot_tuningCurve(receptor = "Or10a", limits = range, 
                  fill.receptor = "magenta")

# plot with manual input data as receptor tuning curve
dplot_tuningCurve(receptor = "receptor X", response.vector = c(1:100))
# or as odor tuning curve
dplot_tuningCurve(odorant = "odor X", response.vector = rnorm(200))

ropensci/DoOR.functions documentation built on Feb. 22, 2024, 9:44 a.m.