readData: Read count data from file

In fitPS: Fit Zeta Distributions to Forensic Data

Read count data from file

Description

Reads observed counts of either the number of groups or the size of the groups. The file must have only two columns. One of the columns must be labelled P or S and the other count. It does not matter if the column names are in upper case or not. The P column can have labels 0, 1, 2, ... representing the observation of 0, 1, 2, or more groups. The corresponding count column should contain a positive (non-zero) count for each number of groups. Similarly, if the file contains S counts, then the S column can contain labels 1, 2, ... representing the observation of 1, 2, ... fragments in a group. Note that zeros are neither allowed, or useful, in the file as they both simply result in log-likelihood terms of zero, and therefore make no difference.

Usage

readData(fileName, notes = NULL, ...)

Arguments

fileName	the name of the file to be read. Must be either a modern (xlsx) Excel file or a csv file.
notes	any additional information about the data, such as the source or a reference.
...	any additional parameters which will be passed to either read_excel or read.csv depending on the extension of your input file.

Value

an object of class psData which is a list containing member variables:

type

– either "P" or "S"

data

– a data.frame which contains columns n and rn, representing the number of groups/fragments, and the number of times that was seen, respectively.

notes

— either a bibentry or a character string which allows extra information about the data to be stored, such as the source, or reference.

Examples

p = readData(system.file("extdata", "p.xlsx", package = "fitPS"))
p
s = readData(system.file("extdata", "s.xlsx", package = "fitPS"))
s

fitPS documentation built on June 24, 2024, 9:09 a.m.