growthPheno (version 1.0-13)

splitValueCalculate: Calculates a single value that is a function of an individual's values for a response

Description

Splits the values of a response into subsets corresponding individuals and applies a function that calculates a single value to each individual's observations. It includes the ability to calculate the observation that corresponds to the calculated value of the function.

Usage

splitValueCalculate(response, weights=NULL, individuals = "Snapshot.ID.Tag", 
                    FUN = "max", which.obs = FALSE, which.levels = NULL, 
                    data, na.rm=TRUE, sep=".", ...)

Arguments

response

A character giving the name of the column in data from which the values of FUN are to be calculated.

weights

A character giving the name of the column in data containing the weights to be supplied as w to FUN.

individuals

A character giving the name(s) of the factor(s) that define the subsets of the data for which each subset corresponds to the response value for an individual.

FUN

A character giving the name of the function that calculates the value for each subset.

which.obs

A logical indicating whether or not to determine the observation corresponding to the value of the function, instead of the value of the function itself.

which.levels

A character giving the name of the factor whose levels are to be identified as the level of the observation whose value matches the value of the function.

data

A data.frame containing the column from which the function is to be calculated.

na.rm

A logical indicating whether NA values should be stripped before the calculation proceeds.

sep

A character giving the separator to use when the levels of individuals are combined. This is needed to avoid using a character that occurs in a factor to delimit levels when the levels of individuals are combined to identify subsets.

...

allows for arguments to be passed to FUN.

Value

A data.frame, with the same number of rows as there are individuals, containing the values of the function for the individuals.

See Also

splitContGRdiff, splitSplines

Examples

# NOT RUN {
data(exampleData)
Area.smooth.max <- splitValueCalculate("Area.smooth", data = longi.dat)
# }