NMTox (version 0.1.0)

nmplot.ncat: Create plots of the dose and the response differentiated by specified variables

Description

This function generates scatter plots of the dose and the response for every unique value of a certain variable, with the colour of the data points differentiated according to the value of another variable.

Usage

nmplot.ncat(data.nm, data.control, id, nano, response, dose, end,
  end.cat, unit, unit.cat,  cat, x.cat, type=c("dose","log"),
  control.opt=c("same","all"), nrow=1, ncol=1)

Value

This function produces dose-response plots for every unique value of a certain variable, with different colours of data points based on the value of another variable

Arguments

data.nm

Data containing the result of toxicity study

data.control

Data of control values

id

Identifier of the experiment

nano

Name of the nanomaterial

response

Response (endpoint value)

dose

Dose or concentration

end

Toxicity endpoint

end.cat

Specific toxicity endpoint of interest

unit

Unit of measurement of the dose

unit.cat

Specific unit of measurement of the dose

cat

Plot is generated for every unique value of cat

x.cat

Variable used to differentiate the colour of the data points in the plot(s)

type

Type of the dose to be plotted ("dose" for dose and "log" for log(dose))

control.opt

Option for the control doses. If only control doses with the same unit of measurement as the non-control ones are included, then specify "same" in the control.opt. If all control doses with any units of measurement are included, then specify "all".

nrow

Number of rows in the plotting space (default is 1)

ncol

Number of columns in the plotting space (default is 1)

Details

• This function generates plots for each nanomaterial in the dataset. The different types of nanomaterials are identified by their names. Therefore, if some control values are named differently (see: geninvitro dataset and the Examples), a separate dataset containing only these values first needs to be created. Controls in the new dataset can be linked to the non-control observations belonging to the same experiment through the identifier of the experiment (the linking is performed inside this function). In this situation, it is necessary to have an indicator that can identify different experiments (such as experiment ID).

• If all controls in the dataset are named according to the related nanomaterial names, data.control and id do not need to be specified.

• If doses used in the experiment are all measured in the same unit of measurement, then specify "same" in control.opt.

Examples

# Create a dataset containing controls (which are named differently)
# from geninvitro dataset:
controldata<-SubsetData(data=geninvitro, x="name", x.cat=c("control", "Control",
             "medium", "medium + BSA", "untreated"))

# Exclude controls (which are named differently) from geninvitro dataset:
invitrodata<-SubsetData(data=geninvitro, x="name", x.cat=c("control", "Control",
             "medium", "medium + BSA", "untreated"), include=FALSE)

# Generate dose-response plots for geninvitro, with DNA STRAND BREAKS as
# the endpoint and concentrations measured in "ug/cm2" (plot is generated for
# each study provider, with different colours represent different
# experiments):
#
nmplot.ncat(data.nm=invitrodata, data.control=controldata,
            id="experimentID", nano="name", response="value",
            dose="concentration", end="endpoint", end.cat="DNA STRAND BREAKS",
            unit="concentration_unit", unit.cat="ug/cm2", cat="studyprovider",
            x.cat="experimentID", type="dose", control.opt="same", nrow=1,
            ncol=1)