Grep

Pattern matching in a vector or column names of a data.frame or matrix.

misc

utilities

A general implementation of Structural Equation Models
with latent variables (MLE, 2SLS, and composite likelihood
estimators) with both continuous, censored, and ordinal
outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>).
Mixture latent variable models and non-linear latent variable models
(Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>).
The package also provides methods for graph exploration (d-separation,
back-door criterion), simulation of general non-linear latent variable
models, and estimation of influence functions for a broad range of
statistical models.

Klaus Holst

lava

Latent Variable Models

Klaus K. Holst

Brice Ozenne

Thomas Gerds

Grep function

<dl><dt>x</dt>
<dd>vector, matrix or data.frame.</dd>
<dt>pattern</dt>
<dd>regular expression to search for</dd>
<dt>subset</dt>
<dd>If TRUE returns subset of data.frame/matrix otherwise just the matching column names</dd>
<dt>ignore.case</dt>
<dd>Default ignore case</dd>
<dt>...</dt>
<dd>Additional arguments to 'grep'</dd></dl>

Arguments

Author

Finds elements in vector or column-names in data.frame/matrix — Grep

<dl>

<dt>x</dt>
<dd>vector, matrix or data.frame.</dd>


<dt>pattern</dt>
<dd>regular expression to search for</dd>


<dt>subset</dt>
<dd>If TRUE returns subset of data.frame/matrix otherwise just the matching column names</dd>


<dt>ignore.case</dt>
<dd>Default ignore case</dd>


<dt>...</dt>
<dd>Additional arguments to 'grep'</dd>

</dl>

Grep: Finds elements in vector or column-names in data.frame/matrix

Description

Usage

Value

Arguments

Author

See Also

Examples