read_tdf: Read TRIM data files

In rtrim: Trends and Indices for Monitoring Data

Description

Read data files intended for the original TRIM programme.

Usage

read_tdf(x, ...)

## S3 method for class 'character'
read_tdf(
  x,
  missing = -1,
  weight = FALSE,
  ncovars = 0,
  labels = character(0),
  ...
)

## S3 method for class 'trimcommand'
read_tdf(x, ...)

Arguments

x	a filename or a trimcommand object
...	(unused)
missing	[integer] missing value indicator. Missing values are translated to NA.
weight	[logical] indicate presence of a weight column
ncovars	[logical] The number of covariates in the file
labels	[character] (optional) specify labels for the covariates. Defaults to cov<i> (i=1,2,...,ncovars) if none are specified.

Value

A data.frame.

The TRIM data file format

TRIM input data is stored in a ASCII encoded file where headerless columns are separated by one or more spaces. Below are the columns as read_tdf expects them.

Variable	status	R type
site	requiered	integer
time	required	integer
count	required	numeric
weight	optional	numeric
<covariate1>	optional	integer
...
<covariateN>	optional	integer

See Also

Other modelspec: check_observations(), read_tcf(), set_trim_verbose(), trimcommand(), trim()

rtrim documentation built on April 21, 2020, 5:06 p.m.