read.counts: Read a .csv file with point-counting data

In provenance: Statistical Toolbox for Sedimentary Provenance Analysis

Read a .csv file with point-counting data

Description

Reads a data table containing point-counting data (e.g. petrographic, heavy mineral, palaeontological or palynological data)

Usage

read.counts(
  fname,
  method = "chisq",
  colmap = "rainbow",
  sep = ",",
  dec = ".",
  row.names = 1,
  header = TRUE,
  check.names = FALSE,
  ...
)

Arguments

fname	a string with the path to the .csv file
method	either "chisq" (for the chi-square distance) or "bray" (for the Bray-Curtis distance)
colmap	an optional string with the name of one of R's built-in colour palettes (e.g., heat.colors, terrain.colors, topo.colors, cm.colors), which are to be used for plotting the data.
sep	the field separator character. Values on each line of the file are separated by this character.
dec	the character used in the file for decimal points.
row.names	a vector of row names. This can be a vector giving the actual row names, or a single number giving the column of the which contains the row names, or character string the name of the table column containing the row names.
header	a logical value indicating whether the file contains the names of the variables as its first line.
check.names	logical. If TRUE then the names of the variables in the frame are checked to ensure that they are syntactically variable names.
...	optional arguments to the built-in read.table function

Value

an object of class counts, i.e. a list with the following items:

x: a data frame with the samples as rows and the categories as columns

colmap: the colour map provided by the input argument

name: the name of the data object, extracted from the file path

Examples

    fname <- system.file("Namib/HM.csv",package="provenance")
    Major <- read.counts(fname)
    #plot(PCA(HM))

provenance documentation built on May 29, 2024, 4:23 a.m.