read_data: A procedure to read data of a data file in formats csv, dta...

In mguevara/diverse: Diversity Measures for Complex Systems

Description

This function reads a file with data shaped as a matrix or as edges list. Several types of formats are allowed.

Usage

read_data(path, type = "csv", sep = ",", category_row = FALSE)

Arguments

path	A string representing the path to data file. If the data contained in the file is shaped as a matrix, the first column must include the names of the categories. If the data is shaped as edges list, it must contain three columns: Entity, category and value.
type	It indicates the type of data to be read. This argument facilitates the input of diverse types of data files, such as spss or stata. Possible options are the names of the mentioned software. The default value is csv.
sep	Separator character used in the file to separate columns. Only for CSV file. Default value is comma.
category_row	A flag to indicate that categories are in the rows. The analysis assumes that the categories are in the columns of the matrix. If the categories are in the rows and the entities in the columns, then the argument "category_row" has to be set to TRUE. The default value is FALSE.

Value

A data frame with three columns (entity, category, value).

Examples

#reading an edges list or panel shape, source data must include three columns
path <-   system.file("extdata", "PantheonEdges.csv", package = "diverse")
sep <- ","
data <- read_data(path)
#reading a table
path  <- system.file("extdata", "PantheonMatrix.csv", package = "diverse")
sep <- ","
data <- read_data(path)
#reading a table which includes the entities in the columns
path <- system.file("extdata", "Geese.csv", package = "diverse")
data <- read_data(path, category_row=TRUE)

mguevara/diverse documentation built on May 22, 2019, 8:53 p.m.