cdf.nresp

<p>Vector of the set of values at which the CDF is estimated.</p>

<p>This function calculates the number of response values less than or equal to
each of the set of values at which the cumulative distribution function (CDF)
is estimated.</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>).

Tom Kincaid

spsurvey

Spatial Survey Design and Analysis

Tony Olsen

Don Stevens

Christian Platt

Denis White

Richard Remington

cdf.nresp function

Internal Function: Count Number of Responses Less Than a Set of Values — cdf.nresp

Internal Function: Count Number of Responses Less Than a Set of Values

cdf.nresp: Internal Function: Count Number of Responses Less Than a Set of Values

Description

Usage

Arguments

Value