The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
NAMESPACE: Removed sample,
runif, and setNames from
importFrom(stats, ...). These are base::
functions and are always available without import. Listing them under
stats:: caused the warning:
object 'sample' is not exported by 'namespace:stats' on
devtools::load_all() and R CMD CHECK.
Added correct @importFrom stats coef lm qt sd var
and @importFrom utils head read.csv roxygen2 tags to
R/zzz.R so that devtools::document()
regenerates the NAMESPACE without the base:: /
stats:: confusion.
NRMSampling.Rproj RStudio project file for
streamlined development with devtools,
roxygen2, and testthat integration.stratified_sample() now accepts a named integer vector
for n_per_stratum, enabling Neyman (optimal) or any
user-defined allocation.pps_sample() now attaches .inclusion_prob
(n * p_i) to output, ready for direct use with
ht_estimator().plot_summary() now handles all-numeric data frames when
vars = NULL without requiring explicit column names.carbon_stock_estimate() now validates
carbon_fraction range and documents the IPCC (2006) default
of 0.47.sampling_efficiency() for quantitative comparison
of two sampling designs via relative efficiency (RE = Var1 / Var2).sf or terra are not available, rather than
an opaque error.purposive_sample(): condition evaluation now uses
with() instead of eval(parse(...)) on the
global environment, preventing accidental access to objects outside the
data frame.systematic_sample(): fixed an edge case where
k = nrow(data) would select only one unit rather than
erroring.quota_sample(): now silently caps quota to stratum size
instead of erroring when quota exceeds available units.regression_estimator(): now requires at least 3
complete observations before fitting and raises an informative
error..Rbuildignore updated to exclude
NRMSampling.Rproj and .Rproj.user/ from the
CRAN source bundle..gitignore expanded with comprehensive R, RStudio, and
OS entries.@examples verified to run in under 5
seconds.cran-comments.md updated to reflect v0.2.0 test
environments.srs_sample() – Simple random sampling with/without
replacement.stratified_sample() – Equal, proportional, or Neyman
allocation.systematic_sample() – Fixed-interval systematic
sampling.cluster_sample() – Single-stage cluster sampling.pps_sample() – Probability-proportional-to-size
sampling.convenience_sample() – First-n convenience sample.purposive_sample() – Condition-based purposive
sampling.quota_sample() – Fixed-quota non-random selection.estimate_mean(), estimate_total() – Mean
and total estimators.estimate_variance(), estimate_se() –
Variance and SE with fpc.estimate_ci() – t-based confidence intervals.ratio_estimator() – Ratio estimate of population
total.regression_estimator() – Regression-adjusted mean
estimate.ht_estimator(), ht_variance() –
Horvitz-Thompson estimator and variance.stratified_estimator() – Weighted stratified mean
estimator.biomass_estimate() – Total and mean biomass from plot
data.soil_loss_estimate() – Total and mean soil loss
estimation.carbon_stock_estimate() – Carbon stock from
biomass.plot_summary() – Descriptive statistics for numeric
columns.sampling_efficiency() – Relative efficiency of two
designs.to_sf_points(), spatial_random_sample(),
spatial_systematic_sample(),
spatial_stratified_sample(),
spatial_cluster_sample(),
raster_stratified_sample(),
raster_pps_sample(), extract_raster_values(),
spatial_biomass_estimate(), plot_sampling(),
plot_sampling_gg().sample_nrm – 100-plot synthetic NRM field dataset.sample_spatial – 100-observation geo-referenced NRM
dataset.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.