set_dim

set_dimnames

The traditional linear regression trend, Modified Mann-Kendall (MK)
non-parameter trend and bootstrap trend are included in this package. Linear
regression trend is rewritten by '.lm.fit'. MK trend is rewritten by 'Rcpp'.
Finally, those functions are about 10 times faster than previous version
in R.
Reference:
Hamed, K. H., & Rao, A. R. (1998). A modified Mann-Kendall trend test for
autocorrelated data. Journal of hydrology, 204(1-4), 182-196.
<doi:10.1016/S0022-1694(97)00125-X>.

Dongdong Kong

rtrend

Trend Estimating Tools

Heyang Song

set_dim function

<dl><dt>x</dt>
<dd>an R object, for example a matrix, array or data frame.</dd>
<dt>dim</dt>
<dd>integer vector, see also <code><a href="/link/base%3A%3Adim()?package=rtrend&version=0.1.5" data-mini-rdoc="rtrend::base::dim()">base::dim()</a></code></dd>
<dt>value</dt>
<dd>For the default method, either <code>NULL</code> or
 a numeric vector, which is coerced to integer (by truncation).</dd></dl>

Arguments

Set dimensions of an Object — set_dim

<dl>

<dt>x</dt>
<dd>an R object, for example a matrix, array or data frame.</dd>


<dt>dim</dt>
<dd>integer vector, see also <code><a href='https://rdrr.io/r/base/dim.html'>base::dim()</a></code></dd>


<dt>value</dt>
<dd>For the default method, either <code>NULL</code> or
 a numeric vector, which is coerced to integer (by truncation).</dd>

</dl>

set_dim: Set dimensions of an Object

Description

Usage

Arguments

See Also

Examples