convertDStoHS {IDmeasurer}

Convert DS to HS

Description

This function converts DS to HS. Because the model used to convert values is derived from stats::loess model, it cannot make predictions outside the range of the values used to construct the model. The model was tailored to the sampling frequently used by studies on individuality:
- number of individuals should be between 5 and 40 individuals
- number of observations per individual should be between 5 - 20
- DS value should be between 0 - 1

Consider increasing your sampling if number of individuals and/or number of observations are lower than 5. If number of individuals and observations exceeds the function limits, it might be acceptable to use the largest possible values allowed by the model to get the estimate - biases get smaller with larger sampling, so, if your sampling exceeds function limits a little bit, the estimate should be still quite precise.

Usage

convertDStoHS(nindivs, nobs, DS, se = FALSE)

Arguments

nindivs

Number of individuals. Must be within 5-40 individuals.

nobs

Number of observations per individual. Must be within 5-20 observations.

DS

DS value to be converted into HS. Must be within 0-1.

se

should standard errors be computed (takes more time)?

Value

If se = FALSE, Numeric value. DS for a specified number of individuals and number of observations per individual.
If se = TRUE, a list containing components fit, se, residual.scale, df. See predict.loess for more details.

See Also

Other metric conversion: convertHStoDS

Examples

convertDStoHS(nindivs=10, nobs=10, DS=0.7)