Create concentration-response datasets that can be applied in the run_rcurvep()

The input dataset is created either by summarizing the response data or by simulating the response data.

create_dataset(d, n_samples = NULL, vdata = NULL)

Arguments

d	Datasets with concentration-response data. Examples are zfishbeh and zfishdev.
n_samples	NULL (default) for not to simulate responses or an integer number to indicate the number of responses per concentration to simulate.
vdata	NULL (default) for not to simulate responses or a vector of numeric responses in vehicle control wells to use as error. This parameter only works when n_samples is not NULL; an experimental feature.

Value

The original dataset with a new column, sample_id (if n_samples is not NULL) or the summarized dataset with columns as zfishbeh.

Details

Curvep requires 1-to-1 concentration response relationship. For the dataset that does not meet the requirement, the following strategies are applied:

Summary (when n_samples = NULL)

For dichotomous responses, percentage is reported (n_in/N*100).
For continuous responses, median value of responses per concentration is reported.

Simulation (when n_samples is a positive integer)

For dichotomous responses, bootstrap approach is used on the "n_in" vector to create a vector of percent response.
For continuous responses, options are a) direct sampling; b) responses from the linear fit using the original data + error of responses based on the supplied vehicle control data

Examples


# datasets with continuous response data
data(zfishbeh)

## default
d <- create_dataset(zfishbeh)

## add samples
d <- create_dataset(zfishbeh, n_samples = 3)

## add samples and vdata
d <- create_dataset(zfishbeh, n_samples = 3, vdata = rnorm(100))

# dataset with dichotomous response data
data(zfishdev)

## default
d <- create_dataset(zfishdev)

## add samples
d <- create_dataset(zfishdev, n_samples = 3)