parsefactors.norm: Factors from the character values from a single cell of a...

In jessicaaudreylee/PhenoEvoR: Tools for analysis of NetLogo Pheno-Evo model results

Description

In Pheno-Evo experiments, it is common to store all the values from all agents for a particular variable at each given timepoint. In the resulting Netlogo data table, those values all go into a single entry of the table at each timepoint. [parsenfactors.norm()] can be used to split up those values and export them into a new dataframe as factors, along with information about their frequency in the population. As an example: the list of individual barcodes carried by cells in a Pheno-Evo population.

Usage

parsefactors.norm(charstring)

Arguments

charstring

The full character string from one entry of a NetLogo data table, including brackets and quotation marks.

Details

In general, the normal Pheno-Evo user should not have to use this function. It is called by several other functions used for analyzing Pheno-Evo output data, such as [barcode.timecourse()]. For a function that calculates density and returns a dataframe, see [parsenumeric()]. For a function that returns a vector of numeric values, see [extractnumeric()].

Value

A dataframe with three columns: s3 = factor levels; Freq = number of individuals at each factor level; Prop = proportion of the total community.

Examples

data(PE.ends)
PE.ends$barcode[4]
parsefactors.norm(PE.ends$barcode[4])

jessicaaudreylee/PhenoEvoR documentation built on Sept. 7, 2020, 3:50 a.m.