wnas

<p>Object of type numeric, logical, or character.</p>

data

<p>This function removes missing values from data for which the mode is one of
the following: numeric, logical, or character.  Data that is not one of those
modes will cause the function to terminate with an error message. For numeric
data this function removes values that are not finite, i.e., missing value
(NA), not a number (NaN), infinity (Inf), and minus infinity (-Inf).  For
logical data this function removes missing values (NA).  For character data
the following values are removed: "", "NA", NA (R only), "NaN", "Inf", and
"-Inf".  For a factor this function removes the following values: NA, NaN,
Inf, and -Inf.  For a vector this function returns the vector with the
indicated values removed.  For a data frame this function returns the data
frame with rows removed that contain at least one indicated value.  For a
list with components that are the same length, the list is converted to a
data frame.  For a list with components that are not the same length, the
function prints an error message and terminates.  When the process of
removing missing values produces an object that no longer contains any
elements (vector) or rows (data frame or list), then a NULL object is
returned.</p>

These functions provide procedures for selecting sites for spatial
surveys using spatially balanced algorithms applied to discrete points,
linear networks, or polygons. The probability survey designs available
include independent random samples, stratified random samples, and unequal
probability random samples (categorical or probability proportional to
size).  Design-based estimation based on the results from surveys is
available for estimating totals, means, quantiles, CDFs, and linear models.
The analyses rely on package survey for most results.  Variance estimation
options include a local neighborhood variance estimator that is appropriate
for spatially-balanced survey designs.  A reference for the survey design
portion of the package is: D. L. Stevens, Jr. and A. R. Olsen (2004),
"Spatially-balanced sampling of natural resources.", Journal of the American
Statistical Association 99(465): 262-278, <DOI:10.1198/016214504000000250>.
Additional helpful references for this package are A. R. Olsen, T. M.
Kincaid, and Q. Payton (2012) and T. M. Kincaid and A. R. Olsen (2012), both
of which are chapters in the book "Design and Analysis of Long-Term
Ecological Monitoring Studies" (R. A. Gitzen, J. J. Millspaugh, A. B.
Cooper, and D. S. Licht (eds.), Cambridge University Press, New York,
<Online ISBN:9781139022422>).

wnas: Internal Function: Remove NAs from Data

Description

Usage

Arguments

Value